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Community-based Rehabilitation Intervention for people with Schizophrenia in Ethiopia (RISE): study protocol for a cluster randomised controlled trial
© Asher et al. 2016
Received: 20 November 2015
Accepted: 3 June 2016
Published: 24 June 2016
Care for most people with schizophrenia is best delivered in the community and evidence-based guidelines recommend combining both medication and a psychosocial intervention, such as community-based rehabilitation. There is emerging evidence that community-based rehabilitation for schizophrenia is effective at reducing disability in middle-income country settings, yet there is no published evidence on the effectiveness in settings with fewer mental health resources. This paper describes the protocol of a study that aims to evaluate the effectiveness of community-based rehabilitation as an adjunct to health facility-based care in rural Ethiopia.
This is a cluster randomised trial set in a rural district in Ethiopia, with sub-district as the unit of randomisation. Participants will be recruited from an existing cohort of people with schizophrenia receiving treatment in primary care. Fifty-four sub-districts will be randomly allocated in a 1:1 ratio to facility-based care plus community-based rehabilitation (intervention arm) or facility-based care alone (control arm). Facility-based care consists of treatment by a nurse or health officer in primary care (antipsychotic medication, basic psychoeducation and follow-up) with referral to a psychiatric nurse-led outpatient clinic or psychiatric hospital when required. Trained community-based rehabilitation workers will deliver a manualised community-based rehabilitation intervention, with regular individual and group supervision. We aim to recruit 182 people with schizophrenia and their caregivers. Potential participants will be screened for eligibility, including enduring or disabling illness. Participants will be recruited after providing informed consent or, for participants without decision-making capacity, after the primary caregiver gives permission on behalf of the participant. The primary outcome is disability measured with the 36-item WHO Disability Assessment Schedule (WHODAS) version 2.0 at 12 months. The sample size will allow us to detect a 20 % difference in WHODAS 2.0 scores between treatment arms with 85 % power. Secondary outcomes include change in symptom severity, economic activity, physical restraint, discrimination and caregiver burden.
This is the first trial of community-based rehabilitation for schizophrenia and will determine, as a proof of concept, the added value of community-based rehabilitation compared to facility-based care alone in a low-income country with scarce mental health resources.
Clinical Trials.gov Identifier NCT02160249. Registered on 3 June 2014.
Schizophrenia can be a severe, chronic and disabling condition, which places a high social and economic burden on individuals , families  and society. The majority of people with schizophrenia in sub-Saharan Africa do not have access to adequate care . Over half of the people with schizophrenia in Ethiopia experience continuous or episodic illness over a 10-year period , where the treatment gap is estimated to be 90 % [5, 6]. Mortality is high; the standardised mortality ratio for people with schizophrenia in Ethiopia is twice that of the general population . People with schizophrenia are also likely to experience stigma and discrimination [8, 9] and human rights violations .
According to global consensus, supported by scientific review of the evidence and the experience of mental health system experts, a comprehensive mental health system includes both community- and hospital-based components of care [11, 12] and should incorporate both medication and psychosocial interventions [13, 14]. Relatively low-intensity psychosocial community-based programmes, which are likely to be most feasible, have been shown to be effective in low- and middle-income country (LMIC) settings [15–17]. To date such programmes have typically involved four groups: the patient, family members, a community-based non-specialist key worker and a psychiatrist . In particular, the World Health Organisation’s (WHO’s) mental health Gap Action Programme (mhGAP) recommends community-based rehabilitation (CBR) as an adjunct to medication for schizophrenia . CBR is a general approach with the aim to improve the quality of life and social inclusion of people with disabilities  and is typically delivered by trained lay workers from the local community. Key pillars of a CBR programme include interventions that promote health, education, livelihood, and social life. In addition there is a cross-cutting emphasis on empowerment, such as supporting people with disabilities to make their own decisions. CBR is put into practice through the joint endeavours of people with disabilities, their caregivers, community members and relevant governmental and non-governmental services, including health services .
CBR programmes have traditionally focussed on people with physical disabilities. There is increasing recognition that people with mental disorders may also receive benefit from a service model that integrates mental health and economic development [21, 22]. CBR may impact on clinical and disability outcomes in people with schizophrenia by improving understanding of the illness, increasing adherence to antipsychotic medication, reducing stigma and improving social functioning.
Globally there are a few examples of CBR programmes for people with mental disorders [17, 23–30]. A systematic review found that CBR may improve clinical outcomes and functioning for schizophrenia, dementia and intellectual disabilities in LMICs . However, no randomised controlled trials (RCTs) of CBR for schizophrenia that involved community mobilisation (defined as ‘a strategy which aims to engage community members and empower them for change or action’ ), or focussed primarily on any CBR pillar other than health, were included . Furthermore, there were no studies set in countries defined by the World Bank as being low-income . The more recent COmmunity care for People with Schizophrenia in India (COPSI) trial , a study from India (a middle-income country), found that collaborative community care modestly improved disability and symptoms in people with schizophrenia . The greatest effects were seen in rural areas with fewer formal mental health resources. Whilst influenced by CBR, the intervention did not include community mobilisation, and participants had access to psychiatrists as a key component of care.
To our knowledge there has been no previous randomised trial investigating the impact of a comprehensive CBR programme, including both home-based care and a structured community mobilisation element, on outcomes in people with schizophrenia. Furthermore, the effectiveness of CBR for schizophrenia has not previously been examined in a low-income setting, such as Ethiopia, which has minimal formal mental health resources. Currently, most people with schizophrenia in rural Ethiopia will never have access to a psychiatrist, psychiatric nurse or other mental health professional. However, mental health care is being scaled up in Ethiopia by training general health workers, largely in primary care, to deliver care for people with mental disorders. This process illustrates the Ethiopian Ministry of Health’s efforts to improve access to mental health care .
Extensive formative research using a variety of methods nested within a Theory of Change framework has enabled the design of a culturally and contextually appropriate CBR intervention for people with schizophrenia that is acceptable and feasible to service users and providers in rural Ethiopia [33, 34]. The CBR intervention, which includes home-based care, community mobilisation and family support groups, has been piloted. This paper presents the protocol for the Rehabilitation Intervention for people with Schizophrenia in Ethiopia (RISE) project, a cluster randomised trial, which will evaluate the effectiveness of this CBR intervention.
To evaluate the effectiveness of CBR as an adjunct to facility-based care (FBC), compared to FBC alone, in reducing disability related to schizophrenia at 12 months, measured by the WHO Disability Assessment Schedule (WHODAS) version 2.0 in patients with evidence of poor response or lack of engagement in care over the preceding 6 months.
To evaluate the effectiveness of CBR plus FBC compared to FBC alone in reducing clinical symptoms, reducing relapse, increasing medication adherence, improving economic activity, reducing physical restraint, reducing discrimination, and improving nutritional status in people with schizophrenia.
To evaluate the effectiveness of CBR plus FBC compared to FBC alone in reducing family burden, stigma and depression, and improving economic activity in caregivers of people with schizophrenia
To explore the acceptability and feasibility of CBR from the perspective of (1) those receiving the treatment, (2) their families, and (3) those delivering the treatment.
To determine the cost-effectiveness of CBR plus FBC compared to FBC alone.
To investigate the process through which CBR achieves its impact.
People with schizophrenia who receive CBR in addition to FBC will experience greater reductions in disability compared to those who receive only FBC, to the order of 20 % absolute difference in WHODAS 2.0 score between groups, over a 12-month period.
Cluster randomisation is the chosen method of randomisation because first, CBR includes community-level elements and family support groups, based on sub-districts, so individual randomisation is not possible; second, it is logistically more convenient to concentrate CBR workload in fewer sub-districts; and third there is increased acceptability if all participants in a sub-district are allocated to either intervention or control arms. This paper follows the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) recommendations for trial protocols (see Additional file 1).
The trial will take place in Sodo district, Gurage Zone, Southern Nations, Nationalities and Populations Region (SNNPR) in Ethiopia. The administrative town of Sodo, Bui, lies 100 km from Addis Ababa. Sodo district has a population of 170,000 persons in 58 sub-districts: four urban and 54 rural. Most people live in one-room mud and straw houses and work as subsistence farmers. About 45% of the population are literate and the majority are Orthodox Christian by religion.
There is a psychiatric nurse-led outpatient clinic at the general hospital in Bui. There is a similar unit at Butajira hospital, which is 30 km away from Bui in the neighbouring district. Primary health care is delivered through eight primary health care centres staffed by health officers and general nurses. Each health centre oversees between four and 11 health posts, staffed by two health extension workers (HEWs). Each health post covers a sub-district, with a population of 2800–5000 people. Health care costs are largely out-of-pocket with a free waiver available for the poorest; in practice a tiny minority of the population are likely to be in receipt of this waiver.
Context of the study
The RISE trial is nested in PRIME (PRogramme for Improving Mental healthcarE). PRIME is a multicountry research consortium that aims to generate evidence on the implementation and scaling up of packages of care for priority mental disorders in primary health care in LMICs [35, 36]. As part of the PRIME project, a comprehensive mental health care plan was developed for Ethiopia [37–39] and, from December 2014, facility-based care for schizophrenia was embedded in primary health care centres in Sodo district. Health officers and nurses were trained in the detection and treatment of schizophrenia, including the prescription of antipsychotic medication and psychoeducation. Training followed the WHO’s mhGAP and evidence-based guidelines [18, 40], adapted for the Ethiopian context. PRIME identified people with schizophrenia in Sodo using the Butajira key informant method  and, from December 2014, began following up those invited to access FBC in a 12-month treatment cohort. A subsample of the PRIME cohort participants will be recruited to the RISE trial at the PRIME 6-month data collection. The rationale for recruiting into the trial after participants have had 6 months access to FBC is that if this intervention were scaled up in a resource-poor setting such as Ethiopia, it would only be made available for those with enduring illness or poor treatment outcomes.
Facility-based care three-tier system for the treatment of mental illness
Tier 1: primary care
Eight health centres across Sodo district
Health officers and nurses
• Prescribe antipsychotic medication (oral haloperidol or chlorpromazine) and monitor response
• Manage side-effects
• Monitor suicide risk
• Review physical health
• Screen for substance misuse
• Provide basic psychoeducation (information about schizophrenia)
• Provide regular follow-up
• Refer to tier 2 in the following scenarios:
o Active suicidal intent
o Inadequate oral intake of fluid or food
o Risk of violence to others and/or risk of serious self-neglect
o Persistently non-adherent to medication
o Acutely disturbed and not manageable at home
o Medical complications
o Unmanageable side-effects
Tier 2: general secondary care
Psychiatric outpatient clinic at Butajira Hospital
• Specialist review
• Initiate depot injection where required
• Refer to tier 3 when inpatient care is required
• Refer back to tier 1 for follow-up
Tier 3: specialist care
Ammanuel Psychiatric Hospital, Addis Ababa
• Specialist review
• Inpatient admission where required
• Refer back to tier 1 and/or tier 2 for follow-up
The CBR intervention was constructed through in-depth intervention development work as described in detail elsewhere [34, 42]. The work included a literature review, situational analysis [43, 44], an intervention development workshop, participatory meetings, qualitative interviews with a range of stakeholders, including people with schizophrenia, their caregivers, psychiatrists and community leaders, and collaboration with an existing CBR project, RAPID (Rehabilitation And Prevention Initiative against Disabilities). RAPID is an Ethiopian CBR project for children with disabilities.
CBR worker recruitment and training
Eleven CBR workers were recruited according to the criteria: (1) completed tenth grade education (secondary school), (2) resident in Sodo district, and (3) interest in community work. Training lasted for 5 weeks and comprised an equal split of classroom teaching and field work, including home visits to people with schizophrenia and on-the-job training at RAPID. Psychiatrists and CBR trainers from RAPID delivered the training. Competency was assessed using role-plays and patient vignettes.
A 12-month pilot was conducted. The pilot included ten people with schizophrenia and their families living in four sub-districts not involved in the main trial. The aims of the pilot were to determine the acceptability and feasibility of the CBR intervention and to refine the intervention and trial design as needed. Major adjustments to the intervention and trial design were made prior to the trial starting. Minor adjustments may be made to the latter components of the CBR intervention on the basis of pilot findings.
Trial CBR delivery
RISE community-based rehabilitation (CBR) intervention outline
Assessment and family engagement
1: Intensive engagement
• Developing therapeutic alliance with family
• Needs assessment
• Risk assessment
• Goal setting for phase 1
• Rehabilitation plan
• Resource mapping for sub-district, e.g. churches, schools, edir groups (traditional burial association), Women’s Association, literacy groups, religious groups and traditional healers
• Initial awareness-raising and mobilisation, targeting health extension worker, community leaders and traditional healers
• Awareness raising meeting/s with general public in sub-district
• Understanding schizophrenia
• Improving access to health care
• Dealing with human rights issues
• Preparing for a crisis
• Update needs assessment
• Risk assessment
• Goal setting for phase 2
• Update rehabilitation plan
• Facilitate access to relevant community resources
• Consolidate mobilisation and awareness raising
• Supporting individuals to take medication
• Improving the family environment (coping skills, marital problems)
• Improving day-to-day functioning
• Taking part in community life
• Getting back to work
• Dealing with distressing symptoms
• Dealing with stigma and discrimination
• Improving physical health
• Dealing with stress and anger
• Improving literacy
• Family support groups
• Taking control of your illness (relapse prevention and management)
• Update needs assessment
• Risk assessment
• Goal setting for phase 3
• Update rehabilitation plan
• Prepare for termination
• Continuing care assessment
• Consolidate access to community resources
• Consolidate awareness raising and mobilisation
• Taking control of your illness (relapse prevention and management) if not completed in phase 2Optional modules
• Any of the phase 2 modules
Selection and randomisation of clusters
We will aim to include all 54 sub-districts in Sodo district (after excluding the four pilot sub-districts). The randomisation of sub-districts into CBR plus FBC and FBC arms will be stratified by health centre. A minimisation algorithm  will be employed to ensure balance for (1) urban/rural location, (2) number of potential participants (i.e. cases of schizophrenia in the PRIME cohort) in the sub-district, and (3) mean WHODAS 2.0 score in the sub-district at PRIME cohort baseline. All these factors may potentially impact on the primary outcome. PRIME cohort baseline WHODAS 2.0 scores will only provide an estimate of the disability level of potential participants as this data will not be available for the entire pool of trial participants and will not represent disability levels at the time of recruitment. The allocation sequence will be generated randomly from the set of optimal sequences . An independent statistician will generate the allocation list for sub-districts. This list is will be kept securely by the trial coordinator and utilised to determine allocation status of new recruits.
Participant inclusion criteria
There are no specific exclusion criteria. Participants must meet all of the following criteria to be included: (1) be a participant in the PRIME cohort study or not engaged in FBC but resident in Sodo district, (2) have been resident in the sub-district for more than 6 months and have no immediate plans to leave the sub-district, (3) have a primary caregiver who is willing to participate in the study, (4) be aged 18 years older, (5) have a diagnosis of schizophrenia spectrum disorder (schizophrenia, schizoaffective disorder or schizophreniform disorder) using Diagnostic and Statistical Manual of Mental Disorders, version four (DSM-IV)  criteria, and (6) have evidence of enduring or disabling illness demonstrated by one or more of the following: (a) Brief Psychiatric Rating Scale – Expanded version (BPRS-E) score ≥52 (equivalent to at least ‘moderately ill’ on the Clinical Global Impression (CGI) scale) , (b) 36-item WHODAS 2.0 score ≥35, (c) have continuous illness over the preceding 6 months, as assessed using the Life Chart Schedule (LCS), (4) be symptomatic in 3 out of the last 6 months, as assessed using the LIFE chart, or (e) have a CGI score ≥3 (at least ‘mildly ill’). The final criterion allows us to include the group expected to benefit the most from CBR and also reflects the threshold at which CBR could realistically be offered in this resource-constrained setting.
PRIME aimed to detect all people with schizophrenia in Sodo by training key informants (HEWs and community leaders) to identify possible cases. This method was successful at identifying people with psychosis in previous Ethiopian studies, including in the neighbouring district [41, 49, 50]. Possible cases of schizophrenia were invited to their health centre for diagnosis and treatment. If they attended, a psychiatric nurse conducted a diagnostic interview using the OPCRIT (Operational Criteria for Research), an operational criteria checklist for psychotic and affective illness [51, 52]. The OPCRIT facilitated the nurse to determine if participants had a DSM-IV diagnosis. Substantial inter-rater reliability and convergent validity of the OPCRIT has been demonstrated in other settings  and there is good experience of using OPCRIT in a clinical trial of schizophrenia in the neighbouring district . All confirmed cases of schizophrenia spectrum disorders were offered FBC and, where they consented, were recruited into the PRIME cohort. Prior to RISE recruitment a psychiatrist conducted an additional paper-based diagnosis review of all PRIME cohort participants using the clinical instruments completed at baseline, including the OPCRIT. Where the psychiatrist deemed the diagnosis unclear, a repeat clinical assessment by the psychiatric nurse will be completed prior to RISE recruitment.
Participants for the RISE trial will be primarily recruited from people who were identified and received a diagnosis of a schizophrenia spectrum disorder at the baseline of the PRIME cohort and their caregivers, and were living in the sub-districts selected to participate in the RISE trial. However, we will recruit from up to four pools of potential participants, known as recruitment levels.
Level 1 recruitment comprises recruitment from the PRIME cohort at the 6-month data collection interview, which takes place at the health centre. Level 2 recruitment comprises recruitment from PRIME cohort drop-outs, i.e. those who do not attend the PRIME 6-month data collection. Level 3 recruitment comprises recruitment from those who were identified by key informants but have never attended FBC. This group had some baseline data collected through a home visit by PRIME as part of a non-engagement study. Level 4 recruitment comprises recruitment from those individuals who were identified by key informants as potential cases with schizophrenia after the recruitment for the PRIME cohort had ended. Level 1 recruitment will take place at consecutive pairs of health centre catchment areas, determined by the PRIME data collection schedule. For levels 2, 3 and 4 recruitment, all sub-districts will be covered equally to avoid unequal recruitment by treatment arm. RISE recruitment will take place either at the health centre at PRIME data collection or at a follow-up visit at the participant’s home.
The aim of incorporating non-PRIME cohort participants is that these non-engagers in care are likely to have more complex needs, and be more symptomatic and disabled. They are, therefore, the individuals who are likely to receive the most benefit from CBR. Some of these individuals will not be accessing care because they are currently well, and will be excluded from the trial using the standard recruitment criteria.
Within each CBR worker area, the transition from one recruitment level to the next will continue until approximately eight participants have been recruited for each CBR worker. The aim is to ensure CBR workers have equal workloads, to ensure CBR delivery is as uniform as possible. If it is not possible to recruit eight participants in any particular CBR worker area (after exhausting all recruitment levels), recruitment will continue at other CBR worker areas whilst aiming to keep the number of participants per CBR worker as equal as possible. Recruitment will proceed to the next recruitment level/s until a maximum of 12 participants per CBR worker are recruited. This is because the maximum feasible workload for CBR workers is expected to be 12 participants. There may be slight adjustments to the number of participants recruited per CBR worker depending on drop-out of CBR workers or other unforeseen factors.
The recruitment procedures for each of these groups will be detailed in dedicated Standard Operating Procedures (SOPs). Potential participants in the PRIME cohort will have their eligibility for the RISE trial checked by the trial coordinator or trial nurse using PRIME 6-month data (i.e. WHODAS 2.0, BPRS-E, CGI, LIFE chart and LCS). Eligible participants will be invited to join the RISE trial by a trial nurse. They will be given information about the trial in a way appropriate to the participants’ literacy level, which may include verbal information. The trial nurse will then conduct the consent procedures.
Participants not in the PRIME cohort will have an initial consent taken, before data is collected on the eligibility instruments, including the diagnostic interview. Those who are eligible will then be consented to take part in the RISE trial. Those who consent (or, for those without decision-making capacity, whose caregiver consents on their behalf) will complete the full RISE baseline data collection.
The randomisation of sub-districts to intervention and control arms will take place before recruitment. The rationale is that it is necessary to commence delivery of the CBR intervention immediately after recruitment. The trial coordinator will keep the sub-district allocation list secure on a password-protected document. To reduce selection bias, the potential participant will not be informed of the allocation of their sub-district until after they have consented to participate and all baseline data collection is complete. The trial nurse will also be blind to the allocation. The trial coordinator will assign a unique trial identifier (ID) to each new participant and will determine the allocation of all new recruits using the secure allocation list. Recruitment and participant flow will be closely monitored by the trial coordinator and any protocol deviations recorded and reported.
Summary of outcome measures
Psychiatric nurse-administered interview with patient
Brief Psychiatric Rating Scale – Expanded version (BPRS- E) . A 24-item instrument focussing on psychotic symptoms, but also covering somatic concerns, anxiety, depression and mania. Individual BPRS-E items and total score are sensitive to change in persons with persistent schizophrenia . The scale has been previously used in Ethiopia  and has recently been shown to have good inter-rater reliability (>0.8 comparing psychiatric nurses and psychiatrists) in this setting (personal communication, Dr Charlotte Hanlon) . As the scale is clinician-rated this allows for sociocultural sensitivity. Inter-rater and test-retest reliability as well as internal consistency are also high in high-income settings 
Clinical Global Impression (CGI). A widely used assessment tool, comprising three scales, to determine overall illness severity and efficacy of intervention 
Life Chart Schedule (LCS) including course type and relapses .
Longitudinal Interval Follow-up Evaluation: DSM-IV version (LIFE). A semi-structured interview to determine the subject’s psychiatric course since the last interview . Satisfactory validation has been conducted in Ethiopia and the reliability data is currently being analysed. Any necessary adjustments will be made on the basis of the inter-rater reliability assessments (personal communication, Dr Girmay Medhin)
Lay data collector-administered interview with the patient
Patient-reported 36-item WHODAS (Disability Assessment Schedule) 2.0 .
A validated indigenous functioning scale, specific to the Ethiopian context 
Measure covering current employment, subsistence farming work, income, and hunger due to lack of resources
Section 1 of the Discrimination and Stigma Scale-12 (DISC-12) 
Adapted Morisky Medication Adherence Scale (MMAS) . This scale has previously been utilised for antipsychotic medication adherence [31, 73]. Good construct validity has been demonstrated in Ethiopia (personal communication, Dr Charlotte Hanlon) ).
A 5-point nominal scale measuring frequency of adherence 
Health service use and costs including engagement with FBC for schizophrenia and physical health conditions
An adapted version of The Client Service Receipt Inventory (CSRI) will enquire systematically about the costs (direct and indirect) of help-seeking from biomedical, traditional and religious healers [74, 75]. The CSRI has been translated into Amharic and found to be acceptable and feasible 
Access to community interventions (including CBR components)
Including person administering the component, and satisfaction
In the preceding 1 and 6 months. Includes assessment of duration, perpetrator, setting and reason for restraint
Measurement of weight (kg) and height (m) will be carried out  and body mass index (weight in kg/(height in m)2) calculated
The Patient Health Questionnaire- 9 (PHQ-9). A 9-item scale which scores each of the 9 DSM-IV criteria for depressive disorders as ‘0’ (not at all) to ‘3’ (nearly every day) . Shown to be valid in the Ethiopian setting 
Alcohol use disorder
The AUDIT (Alcohol Use Disorders Identification Test) is a ten-item tool to detect hazardous drinking 
Oslo-3 Social Support Scale 
Serious adverse events
Occurrence of serious adverse events (for example, suicide attempt and hospitalisation for medical emergency) in the last 6 months
Lay data collector interview with the primary caregiver
Economic activity of caregiver
Employment, subsistence farming work, income, and hunger due to lack of resources
The Burden Section of the WHO ‘Family Interview Schedule’. This scale, covering financial strain and work difficulties has been previously used in Ethiopia for persons with schizophrenia .
A scale developed for PRIME will quantify the time burden of caring for their relative with schizophrenia, the type of work that was stopped or reduced and the amount of money lost. The Involvement Engagement Questionnaire (IEQ) will be used as an additional measure to assess caregiver burden.
Section of the WHO ‘Family Interview Schedule’; previously used in Ethiopia 
Patient medication adherence
The 5-point nominal scale developed for the COPSI study will be used 
In order to reduce information bias data collectors will be masked to sub-district allocation; participants will be requested not to divulge treatment allocation to data collectors; participants from different sub-districts will be allocated to each data collector; identical methods for follow-up will be employed in each arm; and those involved in data analysis will be masked to sub-district allocation.
Loss to follow-up will be minimised by reminding participants to attend the interview shortly before they are due, either by telephone or by a home visit. Participants who do not attend will receive a home visit to ask them to attend at an alternative time. Data collection will take place at the health centre except for participants who do not attend after three invitations. These participants will receive a home visit for data collection. Participants will receive a modest fee for transport and time compensation.
The primary outcome is proxy report of patient disability which will be measured with the 36-item WHO DAS (Disability Assessment Schedule) 2.0 , through interviewing the caregiver. WHODAS 2.0 was developed as single generic instrument for assessing health status and disability relating to a range of health conditions across cultures and settings. It covers understanding and communication, getting around, self-care, getting along with people, life activities and participation in society. Sociocultural adaptation and validation (convergent validity, construct validity and responsiveness to change) of the WHODAS 2.0 in persons with schizophrenia has been completed in Ethiopia (personal communication, Kassahun Habtamu). Issues arising during the adaptation included items not having obvious direct translations and representing uncommon experiences in the rural Ethiopian setting (for example, ‘staying by yourself for a few days’). These issues were largely resolved through iterative adjustments to the translation following piloting. The proxy WHODAS 2.0 interview is designed to be answered by a friend, relative or carer. The rationale for using the proxy version for the primary outcome is that this may give a more valid picture of disability level. A separate study in the neighbouring district found that whilst scores from patient- and proxy-reported versions are moderately correlated, there is a difference, with the caregiver scores tending to be higher (greater disability) (personal communication, Kassahun Habtamu). Patients may not have enough insight to answer accurately and, therefore, underreport disability. They may also be too unwell to answer all questions, increasing the amount of missing data. Table 3 lists the secondary outcomes, which include patient-reported WHODAS 2.0, symptom severity, relapse, medication adherence, economic activity in the patient and caregiver, discrimination, health service use and costs, physical restraint, nutritional status, caregiver burden, caregiver depression and caregiver stigma. All instruments have been adapted for use in Ethiopia; further details on validation and reliability are also given in Table 3.
Process data will be compiled using a range of sources to determine the quality and intensity of intervention delivery. These include (1) CBR worker ‘sub-district’ logbooks, including type and number of community engagement tasks completed, (2) CBR worker ‘participant’ logbooks including home visit forms (modules undertaken, duration and travel time) and assessment forms, (3) monthly observation of CBR visits by supervisor and completion of the ENACT (Enhancing Assessment of Common Therapeutic factors) rating scale  adapted and validated for the Ethiopian context. The adapted ENACT assesses communication skills, engagement with the individual, family and community, assessment of medication adherence, physical health, substance use and suicide risk assessment, (4) observation of CBR home visits by an external clinician (psychiatric nurse or psychiatrist) to complete the ENACT, providing an independent assessment of CBR worker skills, (5) CBR worker competency assessment by supervisor (rating of 1 to 3 given for each of 47 CBR competencies, e.g. ability to conduct community awareness raising meeting), (6) CBR worker self-assessed competency form, (7) supervisor logbook including number of supervision sessions attended, (8) health centre records to determine frequency of contact with participant, and (9) participant-reported structured assessment of the extent to which CBR met their needs.
In-depth interviews (IDIs) will be conducted at baseline and 12 months with a sub-sample of patients and caregivers to gather information on the impact of CBR and other factors on the experience of illness and recovery. Around eight to ten participant dyads from each treatment arm will be included depending on when theoretical saturation is reached. After gaining separate informed consent, interviews will be audio-taped, transcribed in Amharic and then translated into English prior to conducting a thematic analysis. IDIs will be conducted with four to eight community leaders to understand their role in CBR and their perception of its potential impact. IDIs and FGDs will be conducted with CBR workers and supervisors to understand their experience of delivering CBR and its perceived impact on participants. One or two focus groups will also be held with health centre nurses to understand their experience of working with CBR workers.
We estimate that 182 participant dyads (mean 3.4 participants/sub-district) will be available for recruitment. Assuming that there is 23 % attrition, the final sample size for analysis will be 140 participant dyads in 54 sub-districts (mean 2.6 participants/sub-district). This sample size will allow us to detect a 20 % absolute difference in WHODAS 2.0 scores between treatment arms with 85 % power and 5 % significance, assuming a k (coefficient of variation) of 0.14 and a within-cluster standard deviation (SD) of 16. The value of k was extracted from symptom severity data by sub-district from an RCT in Butajira evaluating trimethoprim as an adjuvant treatment for schizophrenia (k = 0.11) . A more conservative estimate of k has been used to account for the potential therapist effect; each CBR worker will cover around three sub-districts and CBR intensity and quality may differ by CBR worker. The mean WHODAS 2.0 in intervention and control arms and within-cluster SD were derived from an Indian study of people with schizophrenia .
The estimate of 182 participant dyads available for recruitment was arrived at using (1) the total adult population of Sodo district, (2) the local prevalence of schizophrenia (0.05 %) , (3) an estimate that 60 % of cases will be detected and agree to participate in the PRIME cohort, (4) an assumption that 70 % of cases will be eligible for RISE, based rates of continuous illness found in a previous study in the neighbouring district of Butajira , and (5) an assumption that approximately 80 % of eligible cases will agree to participate, based on previous recruitment rates in the Butajira cohort study .
All data collection and management will follow Good Clinical Practice (GCP) guidelines and SOPs. Each participant has a unique ID that will enable all data reported for each participant to be identified. Blinding will be maintained during data collection, entry, processing and primary data analysis. Data is collected on paper Patient Report Forms (PRF) and double entered onto electronic Case Report Forms on EpiData Entry Client (126.96.36.199). Data will be managed using EpiData Data Manager (188.8.131.52).
All databases will be password-protected and only accessible to authorised personnel. Data cleaning based on frequency distributions and logic checks will follow standard procedures with reference to source documents as required. The data system is designed to ensure that all data changes are documented and that there is no undocumented deletion of entered data, i.e. an audit trail will be in place. Systematic checks will be carried out to ensure that the audit trail is functioning correctly. Data and all appropriate documentation will be stored for a minimum of 5 years after the completion of the study, including the follow-up period.
Data analysis will take place using Stata, version 13. The primary outcome analysis will be masked until the analysis is finalised and approved by all investigators. Adequate CBR will be defined as having received a minimum of ten home visits by a CBR worker. We will not define adequate treatment for the FBC arm a priori. Sociodemographic and clinical characteristics (including WHODAS 2.0 score) of eligible PRIME cohort participants who did and did not consent to RISE will be compared using chi-square tests and t tests. Loss-to-follow-up will be compared by treatment arm at 6 and 12 months to assess bias due to loss to follow-up. Of those who enrolled, descriptive summaries of sociodemographic and clinical characteristics, presented by treatment arm, will be produced for baseline data. CBR worker characteristics such as age, gender, education level and post-training competency will be described.
Endpoint data will be analysed under intention-to-treat assumptions. An individual-level analysis will be conducted using a multilevel, mixed-effects regression model to compare the WHODAS 2.0 score between treatment arms, accounting for clustering at sub-district and CBR worker levels. The WHODAS 2.0 distribution will determine the model used. If zero-inflation is detected, a zero-inflated negative binomial model will be considered . Adjustment will be made for baseline WHODAS 2.0 score and covariates unbalanced at baseline. Logistic regression will be used to assess which baseline variables are associated with missing outcome data. Baseline variables that predict missing outcome will be included in the regression models as fixed covariates to meet the assumption that outcome data is missing at random. Multiple imputation methods will then be used for participants with missing outcome data.
Sensitivity analyses will include a complete case analysis and a complier average causal effect (CACE) analysis . We will also assess whether there is a dose-response relationship between degree of adherence to CBR (i.e. number of sessions) and the primary outcome. A further analysis will be undertaken to understand which the active components of CBR are. Process data on which CBR components were received, and in what quantity, will be utilised. Potential correlations between different components will be taken into account.
Exploratory sub-group analyses by baseline symptom severity and antipsychotic medication adherence will be completed, although the study will not be powered to investigate such differential effects. A longitudinal analysis will be conducted using a random-effects model. Three levels (CBR worker, sub-district and individual) and two time points (6 and 12 months) will be included. Secondary and tertiary outcomes will be analysed using mixed-effects linear regression models or logistic regression depending on the data type.
Direct costs of the treatment will be estimated by deriving a monetary value for each component of the treatment based on actual costs, and applying these to each individual based on the process indicators, which reflect the actual uptake of the treatment. Other health care costs and other patient- or family-borne costs will be computed and compared at 6 and 12 months, and subsequently related to changes in disability and clinical symptoms. Incremental cost-effectiveness ratios will be calculated to illustrate the extra cost incurred (if any) to produce a unit improvement in the main outcome of disability-adjusted life years (DALYs) calculated from the 36-item WHODAS 2.0. In the event that dominance is not shown, i.e. the intervention is more effective but the costs are also more than the FBC group, incremental cost-effectiveness ratios will be computed, together with their confidence intervals (using bootstrapping techniques to overcome expected skewness of cost data). Cost-effectiveness acceptability curves will also be derived in order to show the probability of any cost-effective advantages for the FBC plus CBR group at a range of ‘willingness to pay’ threshold levels.
The results from the quantitative and qualitative work will be combined to give an overall assessment of the intervention effectiveness.
Trial management and monitoring
The trial is sponsored by the London School of Hygiene and Tropical Medicine. A Data Safety and Monitoring Board (DSMB) has been convened to assure the continuing safety of research participants. A clinical monitor will carry out onsite monitoring visits prior to the trial commencing, at recruitment, and at 6-month and 12-month follow-up. The trial coordinator will carry out day-to-day monitoring and will also review recruitment rates, withdrawals and losses to follow-up. All protocol violations will be recorded and included in reports of trial findings.
Trial-related assessments will take place in private locations. A unique ID number will be linked to patient details in hard and soft copy formats that are kept in secure locations. Signed consent forms will be kept securely in a locked cupboard. All documentation that includes patient data will be anonymised, but identifiable through the ID number. Names of patients will not be quoted or published.
Human rights violations and the high disability burden of schizophrenia make the condition a priority area for public health action. The importance of rehabilitation services for schizophrenia in scaling up mental health care is recognised by the WHO  and the Ethiopian government . There is emerging evidence that CBR for schizophrenia is effective at improving disability outcomes in middle-income settings, yet there is no evidence on whether CBR can work in a setting with even fewer mental health resources, such as Ethiopia. The RISE trial will determine the added value of CBR compared to FBC alone. This will help to determine, for scaling-up services, the importance of a dedicated rehabilitation service in addition to FBC.
Recruitment complete; trial ongoing.
BPRS-E, Brief Psychiatric Rating Scale – Expanded version; CBR, Community-based rehabilitation; CGI, Clinical Global Impression; COPSI, Community care for people with Schizophrenia in India; DSM-IV, Diagnostic and Statistical Manual of Mental Disorders, version four; ENACT, ENhancing Assessment of Common Therapeutic Factors; FBC, Facility-based care; FGD, Focus group discussion; HEW, Health extension worker; IDI, In-depth interview; IRB, Institutional Review Board; LCS, Life Chart Schedule; LMICs, Low- and middle-income countries; LSHTM, London School of Hygiene and Tropical Medicine; mhGAP, Mental health Gap Action Programme; PRIME, PRogramme for Improving Mental health carE; RCT, Randomised controlled trial; RISE, Rehabilitation Intervention for people with Schizophrenia in Ethiopia; SOP, Standard Operating Procedure; WHO, World Health Organisation; WHODAS 2.0, WHO Disability Assessment Schedule, version 2.0
The authors are grateful for the information about the COPSI trial provided by Dr Sudipto Chatterjee and the provision of the COPSI intervention materials. We are also grateful to Julian Eaton for supporting the design of the CBR intervention.
The RISE trial is funded by a Wellcome Trust Clinical PhD Fellowship at the London School of Hygiene and Tropical Medicine awarded to Laura Asher (grant number: 100142/Z/12/Z). The RISE trial is nested in a wider research consortium, the PRogramme for Improving Mental health carE (PRIME), funded by the UK Department for International Development (DfID) (HRPC10). The funders had no role in the study design or collection, management, analysis, and interpretation of data.
LA, MDS, CH, HW, VP and AF designed the trial and contributed to the methods. HW and GM provided specific inputs on the sample size calculation, data management and analysis plan. RB provided specific inputs on the CBR delivery and participant flow sections. DE provided specific input on the data management, monitoring and trial management sections. CH provided specific input on the qualitative section. LA wrote the first and final drafts of the manuscript. All authors reviewed and approved the final draft.
The authors declare that they have no competing interests.
Ethical approval and consent to participate
Ethical approval has been obtained from the LSHTM Research Ethics Committee (reference 0735-2), the Addis Ababa University College of Health Sciences Institutional Review Board (reference 083/13/Psy) and the Ethiopian National Research Ethics Review Committee (reference 310/048/2015). The study will be conducted in accordance with the recommendations for physicians involved in research on human subjects adopted by the 18th World Medical Assembly, Helsinki 1964 and later revisions. Any major protocol amendments will be reported to all ethics committees and not implemented until approval is received. All approved amendments will be reported to the sponsor, DSMB, trial registry and clinical monitor.
Consent for publication
Permission to conduct the trial in Sodo district was sought from the Sodo District Health Office before randomisation of the sub-districts. Information about the study will be given to patients and caregivers by a trained psychiatric nurse or trial nurse. A patient information sheet is available for participants to read. The majority of participants will be illiterate, and some patients will have cognitive difficulties, so information will be given orally using non-technical language. Sufficient time will be allowed for consideration of the information. Consent to enter the study will be independently sought from each patient and, separately, from their caregivers. The trained nurse will assess the decision-making capacity of the patient. If the patient is deemed not to have capacity this will be documented and consent will be sought from the caregiver and assent from the patient. Information about the study will still given to the patient, appropriate to their level of understanding. It is appropriate to seek consent from the caregiver because this study relates directly to schizophrenia, a debilitating clinical condition from which the patient suffers, and it is expected that the study may produce a benefit to the participant. This benefit is anticipated to outweigh the risks, which are thought to be minimal.
Signed participant consent will be obtained and recorded using a form that is in compliance with GCP guidelines and the Helsinki Declaration. Where the participant is unable to write, a thumb impression will be recorded, along with a witness’s signature.
The right of the participant to refuse to participate without giving reasons will be respected. Distress due to participation in the study or unwillingness to participate in the trial will be monitored by the trial staff and CBR workers. If these circumstances are detected and cannot be resolved through discussion with the CBR supervisor or other trial staff the participant will not be recruited or will be withdrawn. All participants are free to not participate or to withdraw at any time without giving reasons and without prejudicing their further treatment. Patients unable to consent for themselves will be given opportunities to do so when they are clinically stable.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Kebede D, Alem A, Shibre T, Negash A, Deyassa N, Beyero T, et al. Short-term symptomatic and functional outcomes of schizophrenia in Butajira, Ethiopia. Schizophr Res. 2005;78(2-3):171–85. doi:10.1016/j.schres.2005.05.028.View ArticlePubMedGoogle Scholar
- Shibre T, Kebede D, Alem A, Negash A, Deyassa N, Fekadu A, et al. Schizophrenia: illness impact on family members in a traditional society—rural Ethiopia. Soc Psychiatry Psychiatr Epidemiol. 2003;38(1):27–34.View ArticlePubMedGoogle Scholar
- Saxena S, Thornicroft G, Knapp M, Whiteford H. Resources for mental health: scarcity, inequity, and inefficiency. Lancet. 2007;370(9590):878–89.View ArticlePubMedGoogle Scholar
- Shibre T, Medhin G, Alem A, Kebede D, Teferra S, Jacobsson L, et al. Long-term clinical course and outcome of schizophrenia in rural Ethiopia: 10-year follow-up of a population-based cohort. Schizophr Res. 2015;161(2-3):414–20. doi:10.1016/j.schres.2014.10.053.View ArticlePubMedGoogle Scholar
- Alem A, Kebede D, Fekadu A, Shibre T, Fekadu D, Beyero T, et al. Clinical course and outcome of schizophrenia in a predominantly treatment-naive cohort in rural Ethiopia. Schizophr Bull. 2009;35(3):646–54.View ArticlePubMedGoogle Scholar
- Fekadu A, Thornicroft G. Global mental health: perspectives from Ethiopia. Glob Health Action. 2014;7:25447. doi:10.3402/gha.v7.25447.PubMedGoogle Scholar
- Fekadu A, Medhin G, Kebede D, Alem A, Cleare AJ, Prince M, et al. Excess mortality in severe mental illness: 10-year population-based cohort study in rural Ethiopia. Br J Psychiatry. 2015;206(4):289–96. doi:10.1192/bjp.bp.114.149112.View ArticlePubMedGoogle Scholar
- Shibre T, Negash A, Kullgren G, Kebede D, Alem A, Fekadu A, et al. Perception of stigma among family members of individuals with schizophrenia and major affective disorders in rural Ethiopia. Soc Psychiatry Psychiatr Epidemiol. 2001;36(6):299–303.View ArticlePubMedGoogle Scholar
- Assefa D, Shibre T, Asher L, Fekadu A. Internalized stigma among patients with schizophrenia in Ethiopia: a cross-sectional facility-based study. BMC Psychiatry. 2012;12:239. doi:10.1186/1471-244x-12-239.View ArticlePubMedPubMed CentralGoogle Scholar
- Drew N, Funk M, Tang S, Lamichhane J, Chávez E, Katontoka S, et al. Human rights violations of people with mental and psychosocial disabilities: an unresolved global crisis. Lancet. 2011;378(9803):1664–75.View ArticlePubMedGoogle Scholar
- Thornicroft G, Alem A. Antunes Dos Santos R, Barley E, Drake RE, Gregorio G, et al. WPA guidance on steps, obstacles and mistakes to avoid in the implementation of community mental health care. World Psychiatr. 2010;9(2):67–77.View ArticleGoogle Scholar
- Thornicroft G, Tansella M. The balanced care model: the case for both hospital- and community-based mental healthcare. Br J Psychiatr. 2013;202(4):246–8. doi:10.1192/bjp.bp.112.111377.View ArticleGoogle Scholar
- Dixon LB, Dickerson F, Bellack AS, Bennett M, Dickinson D, Goldberg RW, et al. The 2009 schizophrenia PORT psychosocial treatment recommendations and summary statements. Schizophr Bull. 2010;36(1):48–70. doi:10.1093/schbul/sbp115.View ArticlePubMedGoogle Scholar
- Patel V. Universal health coverage for schizophrenia: a global mental health priority. Schizophr Bull. 2015. doi:10.1093/schbul/sbv107.PubMed CentralGoogle Scholar
- van Ginneken N, Tharyan P, Lewin S, Rao GN, Meera SM, Pian J, et al. Non-specialist health worker interventions for the care of mental, neurological and substance-abuse disorders in low- and middle-income countries. Cochrane Database Syst Rev. 2013;11:CD009149. doi:10.1002/14651858.CD009149.pub2.PubMedGoogle Scholar
- Patel V, Araya R, Chatterjee S, Chisholm D, Cohen A, De Silva M, et al. Treatment and prevention of mental disorders in low-income and middle-income countries. Lancet. 2007;370(9591):991–1005. doi:10.1016/s0140-6736(07)61240-9.View ArticlePubMedGoogle Scholar
- Chatterjee S, Naik S, John S, Dabholkar H, Balaji M, Koschorke M, et al. Effectiveness of a community-based intervention for people with schizophrenia and their caregivers in India (COPSI): a randomised controlled trial. Lancet. 2014. doi:10.1016/s0140-6736(13)62629-x.PubMed CentralGoogle Scholar
- WHO. mhGAP Intervention Guide for mental, neurological and substance use disorders in non-specialized health settings. Geneva: World Health Organization; 2011.Google Scholar
- WHO. Community based rehabilitation: CBR guidelines. Geneva: World Health Organization; 2010.Google Scholar
- Iemmi V, Gibson L, Blanchet K, Suresh Kuman K, Rath S, Hartley S, et al. Community-based rehabilitation for people with disabilities in low and middle-income countries: a systematic review. Campbell Syst Rev. 2015;11:15.Google Scholar
- Raja S, Underhill C, Shrestha P, Sunder U, Mannarath S, Wood SK, et al. Integrating mental health and development: a case study of the BasicNeeds Model in Nepal. PLoS Med. 2012;9(7):e1001261. doi:10.1371/journal.pmed.1001261.View ArticlePubMedPubMed CentralGoogle Scholar
- Raja S, Boyce WF, Ramani S, Underhill C. Success indicators for integrating mental health interventions with community-based rehabilitation projects. Int J Rehabil Res. 2008;31(4):284–92. doi:10.1097/MRR.0b013e3283013b0b.View ArticlePubMedGoogle Scholar
- Cohen A, Eaton J, Radtke B, George C, Manuel BV, De Silva M, et al. Three models of community mental health services in low-income countries. Int J Ment Heal Syst. 2011;5(1):3. doi:10.1186/1752-4458-5-3.View ArticleGoogle Scholar
- Chatterjee S, Patel V, Chatterjee A, Weiss HA. Evaluation of a community-based rehabilitation model for chronic schizophrenia in rural India. Br J Psychiatr. 2003;182:57–62.View ArticleGoogle Scholar
- Chatterjee S, Pillai A, Jain S, Cohen A, Patel V. Outcomes of people with psychotic disorders in a community-based rehabilitation programme in rural India. Br J Psychiatr. 2009;195(5):433–9. doi:10.1192/bjp.bp.108.057596.View ArticleGoogle Scholar
- Botha UA, Koen L, Joska JA, Hering LM, Oosthuizen PP. Assessing the efficacy of a modified assertive community-based treatment programme in a developing country. BMC Psychiatry. 2010;10:73.View ArticlePubMedPubMed CentralGoogle Scholar
- Dias A, Dewey ME, D’Souza J, Dhume R, Motghare DD, Shaji KS, et al. The effectiveness of a home care program for supporting caregivers of persons with dementia in developing countries: a randomised controlled trial from Goa, India. PLoS One. 2008;3(6):e2333. doi:10.1371/journal.pone.0002333.View ArticlePubMedPubMed CentralGoogle Scholar
- Gavrilova SI, Ferri CP, Mikhaylova N, Sokolova O, Banerjee S, Prince M. Helping carers to care—The 10/66 Dementia Research Group’s randomized control trial of a caregiver intervention in Russia. Int J Geriatr Psychiatry. 2009;24(4):347–54. doi:10.1002/gps.2126.View ArticlePubMedGoogle Scholar
- Ran MS, Xiang MZ, Chan CL, Leff J, Simpson P, Huang MS, et al. Effectiveness of psychoeducational intervention for rural Chinese families experiencing schizophrenia—a randomised controlled trial. Soc Psychiatry Psychiatr Epidemiol. 2003;38(2):69–75. doi:10.1007/s00127-003-0601-z.View ArticlePubMedGoogle Scholar
- Zhang M, Wang M, Li J, Phillips MR. Randomised-control trial of family intervention for 78 first-episode male schizophrenic patients. An 18-month study in Suzhou, Jiangsu. Br J Psychiatry Suppl. 1994;24:96–102.PubMedGoogle Scholar
- Chatterjee S, Leese M, Koschorke M, McCrone P, Naik S, John S, et al. Collaborative community based care for people and their families living with schizophrenia in India: protocol for a randomised controlled trial. Trials. 2011;12(1):12.PubMedPubMed CentralGoogle Scholar
- Federal Democratic Republic of Ethiopia Ministry of Health. National Mental Health Strategy 2012–2015. Addis Ababa: Ministry of Health; 2012.Google Scholar
- Asher L, Fekadu A, Hanlon C, Mideksa G, Eaton J, Patel V, et al. Development of a community-based rehabilitation intervention for people with schizophrenia in Ethiopia. PLoS One. 2015;10(11):e0143572. doi:10.1371/journal.pone.0143572.View ArticlePubMedPubMed CentralGoogle Scholar
- De Silva MJ, Breuer E, Lee L, Asher L, Chowdhary N, Lund C, et al. Theory of Change: a theory-driven approach to enhance the Medical Research Council’s framework for complex interventions. Trials. 2014;15(1):267. doi:10.1186/1745-6215-15-267.View ArticlePubMedPubMed CentralGoogle Scholar
- Lund C, Tomlinson M, De Silva M, Fekadu A, Shidhaye R, Jordans M, et al. PRIME: a programme to reduce the treatment gap for mental disorders in five low- and middle-income countries. PLoS Med. 2012;9(12):e1001359. doi:10.1371/journal.pmed.1001359.View ArticlePubMedPubMed CentralGoogle Scholar
- De Silva MJ, Rathod SD, Hanlon C, Breuer E, Chisholm D, Fekadu A, et al. Evaluation of district mental healthcare plans: the PRIME consortium methodology. Br J Psychiatr. 2015. doi:10.1192/bjp.bp.114.153858.Google Scholar
- Mayston R, Alem A, Habtamu A, Shibre T, Fekadu A, Hanlon C. Participatory planning of a primary care service for people with severe mental disorders in rural Ethiopia. Health Policy Plan. 2015. doi:10.1093/heapol/czv072.PubMedGoogle Scholar
- Fekadu A, Hanlon C, Medhin G, Alem A, Selamu M, Giorgis TW, et al. Development of a scalable mental healthcare plan for a rural district in Ethiopia. Br J Psychiatr. 2015. doi:10.1192/bjp.bp.114.153676.Google Scholar
- Hailemariam M, Fekadu A, Selamu M, Alem A, Medhin G, Giorgis TW, et al. Developing a mental health care plan in a low resource setting: the theory of change approach. BMC Health Serv Res. 2015;15(1):429. doi:10.1186/s12913-015-1097-4.View ArticlePubMedPubMed CentralGoogle Scholar
- WHO. mhGAP Mental Health Gap Action Programme: scaling up care for mental, neurological and substance use disorders. Geneva: WHO; 2008.Google Scholar
- Shibre T, Kebede D, Alem A, Negash A, Kibreab S, Fekadu A, et al. An evaluation of two screening methods to identify cases with schizophrenia and affective disorders in a community survey in rural Ethiopia. Int J Soc Psychiatry. 2002;48(3):200–8.View ArticlePubMedGoogle Scholar
- Asher L, Fekadu A, Hanlon C, Mideksa G, Eaton J, Patel V et al. Development of a community-based rehabilitation intervention for people with schizophrenia in Ethiopia. PLoS One. 2015;10(11):e0143572. doi: 10.1371/journal.pone.0143572. eCollection 2015.
- Hanlon C, Luitel NP, Kathree T, Murhar V, Shrivasta S, Medhin G, et al. Challenges and opportunities for implementing integrated mental health care: a district level situation analysis from five low- and middle-income countries. PLoS One. 2014;9(2):e88437. doi:10.1371/journal.pone.0088437.View ArticlePubMedPubMed CentralGoogle Scholar
- Selamu M, Asher L, Hanlon C, Medhin G, Hailemariam M, Patel V, et al. Beyond the biomedical: community resources for mental health care in rural Ethiopia. PLoS One. 2015;10(5):e0126666. doi:10.1371/journal.pone.0126666.View ArticlePubMedPubMed CentralGoogle Scholar
- Carter BR, Hood K. Balance algorithm for cluster randomized trials. BMC Med Res Methodol. 2008;8:65. doi:10.1186/1471-2288-8-65.View ArticlePubMedPubMed CentralGoogle Scholar
- Raab GM, Butcher I. Balance in cluster randomized trials. Stat Med. 2001;20(3):351–65.View ArticlePubMedGoogle Scholar
- American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed. Washington: American Psychiatric Association; 1994.Google Scholar
- Gonda T, Deane FP, Murugesan G. Predicting clinically significant change in an inpatient program for people with severe mental illness. Aust N Z J Psychiatry. 2012;46(7):651–8. doi:10.1177/0004867412445527.View ArticlePubMedGoogle Scholar
- Shibre T, Teferra S, Morgan C, Alem A. Exploring the apparent absence of psychosis amongst the Borana pastoralist community of Southern Ethiopia. A mixed method follow-up study. World Psychiatr. 2010;9(2):98–102.View ArticleGoogle Scholar
- Fekadu A, Shibre T, Alem A, Kebede D, Kebreab S, Negash A, et al. Bipolar disorder among an isolated island community in Ethiopia. J Affect Disord. 2004;80(1):1–10. doi:10.1016/s0165-0327(02)00345-2.View ArticlePubMedGoogle Scholar
- Opcrit Homepage. MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Kings College London. http://sgdp.iop.kcl.ac.uk/opcrit/. Accessed 15 Nov 2015
- McGuffin P, Farmer A, Harvey I. A polydiagnostic application of operational criteria in studies of psychotic illness. Development and reliability of the OPCRIT system. Arch Gen Psychiatry. 1991;48(8):764–70.View ArticlePubMedGoogle Scholar
- Brittain PJ, Stahl D, Rucker J, Kawadler J, Schumann G. A review of the reliability and validity of OPCRIT in relation to its use for the routine clinical assessment of mental health patients. Int J Methods Psychiatr Res. 2013;22(2):110–37. doi:10.1002/mpr.1382.View ArticlePubMedGoogle Scholar
- Fekadu A, Mesfin M, Medhin G, Alem A, Teferra S, Gebre-Eyesus T, et al. Adjuvant therapy with minocycline for schizophrenia (The MINOS Trial): study protocol for a double-blind randomized placebo-controlled trial. Trials. 2013;14:406. doi:10.1186/1745-6215-14-406.View ArticlePubMedPubMed CentralGoogle Scholar
- WHO. Measuring health and disability: Manual for WHO Disability Assessment Schedule (WHODAS 2.0). Geneva: World Health Organization; 2010.Google Scholar
- Kohrt BA, Jordans MJ, Rai S, Shrestha P, Luitel NP, Ramaiya MK, et al. Therapist competence in global mental health: development of the ENhancing Assessment of Common Therapeutic factors (ENACT) rating scale. Behav Res Ther. 2015;69:11–21. doi:10.1016/j.brat.2015.03.009.View ArticlePubMedPubMed CentralGoogle Scholar
- Shibre T, Alem A, Abdulahi A, Araya M, Beyero T, Medhin G, et al. Trimethoprim as adjuvant treatment in schizophrenia: a double-blind, randomized, placebo-controlled clinical trial. Schizophr Bull. 2010;36(4):846–51.View ArticlePubMedGoogle Scholar
- Srinivasa Murthy R, Kishore Kumar KV, Chisholm D, Thomas T, Sekar K, Chandrashekari CR. Community outreach for untreated schizophrenia in rural India: a follow-up study of symptoms, disability, family burden and costs. Psychol Med. 2005;35(3):341–51.View ArticlePubMedGoogle Scholar
- Kebede D, Alem A, Shibre T, Negash A, Fekadu A, Fekadu D, et al. Onset and clinical course of schizophrenia in Butajira-Ethiopia—a community-based study. Soc Psychiatry Psychiatr Epidemiol. 2003;38(11):625–31.View ArticlePubMedGoogle Scholar
- Sousa RM, Dewey ME, Acosta D, Jotheeswaran AT, Castro-Costa E, Ferri CP, et al. Measuring disability across cultures—the psychometric properties of the WHODAS II in older people from seven low- and middle-income countries. The 10/66 Dementia Research Group population-based survey. Int J Methods Psychiatr Res. 2010;19(1):1–17. doi:10.1002/mpr.299.PubMedPubMed CentralGoogle Scholar
- Hewitt CE, Torgerson DJ, Miles JN. Is there another way to take account of noncompliance in randomized controlled trials? CMAJ. 2006;175(4):347. doi:10.1503/cmaj.051625.View ArticlePubMedPubMed CentralGoogle Scholar
- Leucht S, Kane JM, Kissling W, Hamann J, Etschel E, Engel R. Clinical implications of Brief Psychiatric Rating Scale scores. Br J Psychiatr. 2005;187:366–71. doi:10.1192/bjp.187.4.366.View ArticleGoogle Scholar
- Burlingame GM, Seaman S, Johnson JE, Whipple J, Richardson E, Rees F, et al. Sensitivity to change of the Brief Psychiatric Rating Scale - Extended (BPRS-E): an item and subscale analysis. Psychol Serv. 2006;3(2):77–87.View ArticleGoogle Scholar
- Youngmann R, Zilber N, Workneh F, Giel R. Adapting the SRQ for Ethiopian populations: a culturally-sensitive psychiatric screening instrument. Transcult Psychiatry. 2008;45(4):566–89. doi:10.1177/1363461508100783.View ArticlePubMedGoogle Scholar
- Hanlon C, Alem A, Medhin G, Shibre T, Ejigu DA, Negussie H, et al. Task sharing for the care of severe mental disorders in a low-income country (TaSCS): study protocol for a randomised, controlled, non-inferiority trial. Trials. 2016;17(1):76. doi:10.1186/s13063-016-1191-x.View ArticlePubMedPubMed CentralGoogle Scholar
- Burlingame GM, Dunn TW, Chen S, Lehman A, Axman R, Earnshaw D, et al. Selection of outcome assessment instruments for inpatients with severe and persistent mental illness. Psychiatr Serv. 2005;56(4):444–51. doi:10.1176/appi.ps.56.4.444.View ArticlePubMedGoogle Scholar
- Mortimer AM. Symptom rating scales and outcome in schizophrenia. Br J Psychiatry. 2007;191(50):s7–14. doi:10.1192/bjp.191.50.s7.View ArticleGoogle Scholar
- WHO. The Life Chart Schedule. Geneva: World Health Organization; 1992.Google Scholar
- Keller MB, Lavori PW, Friedman B, Nielsen E, Endicott J, McDonald-Scott P, et al. The Longitudinal Interval Follow-up Evaluation. A comprehensive method for assessing outcome in prospective longitudinal studies. Arch Gen Psychiatry. 1987;44(6):540–8.View ArticlePubMedGoogle Scholar
- Habtamu K, Alem A, Hanlon C. Conceptualizing and contextualizing functioning in people with severe mental disorders in rural Ethiopia: a qualitative study. BMC Psychiatry. 2015;15:34. doi:10.1186/s12888-015-0418-9.View ArticlePubMedPubMed CentralGoogle Scholar
- Thornicroft G, Brohan E, Rose D, Sartorius N, Leese M. Global pattern of experienced and anticipated discrimination against people with schizophrenia: a cross-sectional survey. Lancet. 2009;373(9661):408–15. doi:10.1016/s0140-6736(08)61817-6.View ArticlePubMedGoogle Scholar
- Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care. 1986;24(1):67–74.View ArticlePubMedGoogle Scholar
- Sweileh WM, Ihbesheh MS, Jarar IS, Sawalha AF, Abu Taha AS, Zyoud SH, et al. Antipsychotic medication adherence and satisfaction among Palestinian people with schizophrenia. Curr Clin Pharmacol. 2012;7(1):49–55.View ArticlePubMedGoogle Scholar
- Beecham J, Knapp M. Costing psychiatric interventions. In: Thornicroft G, editor. Measuring mental health needs. London: Gaskell; 2001.Google Scholar
- Chisholm D, Sekar K, Kishore K, Saeed K, James S, Mubbashar M, et al. Integration of mental health care into primary care: demonstration of cost-outcome study in India and Pakistan. Br J Psychiatry. 2000;176:581–8.View ArticlePubMedGoogle Scholar
- Mogga S, Prince M, Alem A, Kebede D, Stewart R, Glozier N, et al. Outcome of major depression in Ethiopia: population-based study. Br J Psychiatry. 2006;189:241–6.View ArticlePubMedGoogle Scholar
- WHO Expert Committee. Physical status: the use and interpretation of anthropometry. Geneva: WHO; 1995.Google Scholar
- Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.View ArticlePubMedPubMed CentralGoogle Scholar
- Hanlon C, Medhin G, Selamu M, Breuer E, Worku B, Hailemariam M, et al. Validity of brief screening questionnaires to detect depression in primary care in Ethiopia. J Affect Disord. 2015;186:32–9. doi:10.1016/j.jad.2015.07.015.View ArticlePubMedGoogle Scholar
- Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption—II. Addiction (Abingdon, England). 1993;88(6):791–804.View ArticleGoogle Scholar
- Dalgard OS, Dowrick C, Lehtinen V, Vazquez-Barquero JL, Casey P, Wilkinson G, et al. Negative life events, social support and gender difference in depression: a multinational community survey with data from the ODIN study. Soc Psychiatry Psychiatr Epidemiol. 2006;41(6):444–51. doi:10.1007/s00127-006-0051-5.View ArticlePubMedGoogle Scholar
- Ustun TB, Chatterji S, Kostanjsek N, Rehm K, Kennedy C, Epping-Jordan J, et al. Developing the World Health Organization Disability Assessment Schedule 2.0. Bull World Health Organ. 2010;88:815–23.View ArticlePubMedPubMed CentralGoogle Scholar
- Rehm J, Ustun TB, Saxena S, Nelson CB, Chatterji S, Ivis F, et al. On the development and psychometric testing of the WHO screening instrument to assess disablement in the general population. Int J Methods Psychiatr Res. 1999;8(2):110–22.View ArticleGoogle Scholar