- Study protocol
- Open Access
Reducing disability via a family centered intervention for acutely ill persons with Alzheimer’s disease and related dementias: protocol of a cluster-randomized controlled trial (Fam-FFC study)
Trials volume 19, Article number: 496 (2018)
Hospitalized older persons with Alzheimer’s disease and related dementias are at greater risk for functional decline and increased care dependency after discharge due to a combination of intrinsic factors, environmental, policy, and care practices that restrict physical and cognitive activity, lack of family involvement and limited staff knowledge of dementia care. We have developed a theory-based intervention, Family centered Function-focused Care, that incorporates an educational empowerment model for family caregivers (FCGs) provided within a social-ecological framework to promote specialized care to patients with dementia during hospitalization and the 60-day post-acute period. Primary aims are to test the efficacy of the intervention in improving physical and cognitive recovery in hospitalized persons living with Alzheimer’s disease and related dementias (ADRD) and improving FCG preparedness and experiences.
We will implement Family centered Function-focused Care in a cluster-randomized trial of 438 patient/FCG dyads in six hospital units randomized within three hospitals. We hypothesize that patients who receive the intervention will demonstrate better physical function, less delirium occurrence and severity, neuropsychiatric symptoms, and depression compared to those in the control condition (Education-only). We also hypothesize that FCGs enrolled in Family centered Function-focused Care will experience increased preparedness for caregiving, and less strain, burden, and desire to institutionalize, as compared to FCGs the control group. We will also examine the costs and relative cost savings associated with the intervention and will evaluate the cultural appropriateness of Family centered Function-focused Care for families from diverse backgrounds.
Our theory-based intervention makes use of real-world applicable approaches in a novel and innovative way to change the paradigm of how we currently look at acute care and post-acute transitions in persons with ADRD.
ClinicalTrials.gov, ID: NCT03046121. Registered on 8 February 2017.
Approximately one in nine people age 65 years and older has Alzheimer’s disease or a related dementia (ADRD), increasing to about one third of people by age 85 years . Many of the estimated 5.5 million older adults with ADRD also suffer from one or more serious medical conditions, including coronary artery disease (26%), diabetes (23%), and chronic obstructive pulmonary disease (15%) [1, 2]. These co-existing medical conditions as well as other potentially high-risk, acute issues (e.g., falls, infections, medication side effects, etc.) contribute to the high prevalence of hospital stays in this group [1, 2]. As a result, persons with dementia are twice as likely to be hospitalized as persons without dementia and comprise one fourth of hospitalized older adults [1, 3, 4].Once hospitalized, individuals with ADRD are more likely to experience potentially preventable complications such as delirium, neuropsychiatric symptoms (NPS), pressure ulcers, falls, and nutritional deficiencies [5,6,7,8]. In addition, they often have clinically significant functional decline resulting in increased hospital costs (twice as much for persons with dementia) , morbidity, and earlier mortality [10,11,12,13,14]. During the post-acute period, persons with ADRD are more likely to experience protracted delirium with increased care needs and lower quality of life for both themselves  and their family caregiver (FCG) [16,17,18]. Further, they utilize more post-acute care  and are at increased risk for re-hospitalizations, transitions to long-term nursing home stays, and mortality than persons without ADRD [10, 14, 20,21,22]. Consequently, at 6 months post discharge, individuals with ADRD are 600 times more likely to be in a nursing home  compared to cognitively intact, community-dwelling older adults prior to hospitalization, and few return to pre-hospital functional status .
In hospital settings, acute illness superimposed upon baseline cognitive and functional vulnerabilities account for only some of the physical and cognitive declines associated with hospitalization of the person with ADRD [23, 24]. Other factors associated with negative outcomes include: (1) lack of dementia-sensitive care processes (i.e., inadequate assessment of patient and FCG needs and preferences) [25, 26]; (2) activity-restrictive policies and environments [27,28,29,30]; (3) staff under-prepared to care for persons with cognitive impairment [31, 32]; and (4) patient, staff, and FCG attitudes regarding physical activity in the acute setting [33,34,35].
Prior to hospitalization, approximately 75% of hospitalized patients with ADRD are living at home and receiving care from family members or friends [20, 36, 37]. Upon hospitalization, the goal of most families is to have their relative return home . However, FCGs are limited in the amount of physical care they can provide in terms of lifting, moving, and providing incontinence care [17, 18]. The additive stress of the hospitalization, and the patient’s increased functional dependency, often co-existing with persistent delirium, compounds the strain of the FCG, prompting the decision to seek long-term nursing home care [18, 38]. It is particularly important, therefore, that patients with ADRD receive the type of care, beginning at admission and continuing through the post-acute transitional period, that optimizes cognitive and physical function and physical activity and helps prevent or decrease functional decline.We have developed a theory-based intervention that adapts Function Focused Care (FFC) to the hospitalized person with dementia. Function Focused Care is a philosophy of care in which caregivers (formal and/or informal) are taught to care for patients in a way that engages in them in performing functional tasks and physical activity at their highest levels . Fam-FFC builds on this approach by incorporating the family and adapting FFC to the specialized needs of persons with ADRD. Specifically, Fam-FFC provides expert dementia care by formal caregivers (nursing staff) in the acute care setting through adaptations to the physical and care environment but, importantly, incorporates the additional component of the patient’s FCG. In this family centered care approach, nurses purposefully engage FCGs in the assessment, decision-making, discharge planning, care delivery, and evaluation, beginning at admission, continuing through the hospital stay and the 60-day post-acute period. Fam-FFC provides a unique opportunity for skill development, education and support in the care needs of care recipients and helps FCGs gain confidence in encouraging and facilitating optimal function and physical activity of the patient with ADRD.
In this paper we describe a National Institute of Aging (NIA)-funded research protocol for a cluster randomized clinical trial designed to test the efficacy of Fam-FFC. We describe: the intervention rationale, the theoretical framework that guides the study, the specific aims, and the methods.
When engaged to do so, FCGs of persons with ADRD provide essential information on baseline cognitive and functional status necessary to guide care delivery and track treatment response [40, 41]. Although not typical practice in the acute care setting, discussions of patients’ needs and preferences between nurses and the patient’s close family members have been found to be useful in predicting and preventing excessive stress in persons with dementia. This type of person-centered care approach has the potential to prevent inappropriate use of antipsychotics and mitigate progressive physical or cognitive decline [41,42,43]. Furthermore, family members can play a positive role by motivating and encouraging patients during the hospitalization [33,34,35] and subsequently at home .
Although hospitalization may be expected to provide respite for FCGs, the experience is often associated with increased stress for these individuals [17, 45]. The patient’s functional loss, presence of delirium and neuropsychiatric symptoms increase FCG burden . Additionally, the pre-existing, chronic strain borne by FCGs of persons with ADRD is compounded by anxiety about the comfort and safety of the patient during their hospital stay and the potential for increased care needs at discharge [45,46,47,48]. The combination of the patient’s care needs (activities of daily living (ADLs) dependency, depression, behavioral symptoms) and caregiver challenges (preparedness, burden, strain) are associated with the decision to seek long-term care placement [38, 49]. Interventions that improve the cognition, physical function, and emotional response of the patient can help improve FCG outcomes and mitigate the desire to institutionalize the care recipient.
The family member’s baseline knowledge and understanding of disease processes, optimal care approaches and prevention of adverse events are varied and may not be consistent with current evidence-based care approaches [50,51,52,53]. Particularly, a belief that restricting physical activity will prevent falls and a lack of understanding of the ramifications of inactivity and subsequent deconditioning and functional loss may cause families to restrict physical activity of the care recipient during the acute care stay . Efforts to productively involve FCGs in function-promoting care requires a concerted effort to provide information, an appraisal of the FCG’s preferences for involvement, and a systematic process of engagement in goal setting and ongoing decision-making during acute and post-acute care. Pilot work demonstrated that Fam-FFC is feasible to implement for hospitalized persons with ADRD. We found that hospital nursing staff can integrate FFC into their practice and that FCGs can adapt this approach in their various role functions [54, 55].
The aims of this trial are: aim 1: validate the efficacy of Fam-FFC on patient outcomes: physical function (ADLs/ performance and physical activity), delirium occurrence and severity, NPS, and mood; aim 2: evaluate the impact of Fam-FFC on FCG-centered outcomes (preparedness for caregiving, strain, burden, and desire to institutionalize); and aim 3: calculate the costs of Fam-FFC, evaluate relative health care costs (post-acute health care utilization) and total cost savings for Fam-FFC v. the control condition. We also evaluate the cultural appropriateness of Fam-FCC for diverse families in our sample.
Theoretical basis of Fam-FFC
The Fam-FFC intervention was developed using a social ecological framework  that acknowledges the intra-personal (intrinsic), interpersonal (related to nursing staff, patient, family interaction), and environmental and policy/process factors that influence function in hospitalized persons with dementia (see Fig. 1). Social Cognitive Theory (SCT) is used at the interpersonal level to facilitate behavior change . SCT suggests that the stronger the individuals’ self-efficacy and outcome expectations, the more likely it is that they will initiate and persist with a given activity. Self-efficacy expectations are the individuals’ beliefs in their capabilities to perform a course of action to attain a desired outcome; and outcome expectations are the beliefs that a certain consequence will be produced by personal action. Efficacy expectations are dynamic and enhanced by four mechanisms: (1) successful performance of the activity; (2) verbal persuasion; (3) seeing like individuals perform a similar activity; and (4) pleasant physiological and affective states (e.g., pain reduction) associated with an activity . These four mechanisms are incorporated into Fam-FFC to motivate patients to be functionally and cognitively active; education and coaching are provided to both staff and FCGs to utilize these mechanisms. Fam-FFC acknowledges that nurses are ideally positioned to integrate FFC care within their daily interactions with patient and families, and to support the FCG role in FFC [54, 55]. Thus, the Family centered Function Focused Care nurse (Fam-FFC nurse) involves the staff nurse, along with the patient and FCG, in the care planning, delivery, and evaluation process of Fam-FFC interventions.
The experimental design for this study is a longitudinal design with three follow-up assessments post discharge where study units are randomized by clustering to either treatment (Fam-FFC) or the control condition. The control condition (Fam- FFC Ed-only) consists of education of the nursing staff with no other intervention. This design allows a within- and between-group analysis to ascertain the effects of Fam-FFC. The experimental condition, Fam-FFC, is coordinated and implemented by a Family centered Function Focused Care Nurse (Fam-FFC Nurse), who works in the treatment units 35 h a week (on the unit 7 days a week) for 14 months to implement the four components of the intervention. In addition, the sites identify two members of the nursing staff from each unit (to cover both day and evening shifts) to be Fam-FFC champions who support the logistics and sustainability of the intervention.
Six inpatient units of three hospitals (two units each), located in the Northeast USA and 340 hospitalized persons and their FCGs are included in the study. To improve the potential for translation into practice and to increase the generalizability of our findings hospitals represent three distinct types and bed size: a large academic medical center, a medium-sized teaching hospital, and a small community hospital. Sites were selected to ensure a large population for recruitment and to increase the diversity of the sample. The sites have committed to engagement of the nurse champion in the intervention as well as the evaluation of the cultural appropriateness of Fam-FFC.
Patient inclusion criteria includes age ≥ 65 years, speak English or Spanish, live in the community prior to admission to the hospital, screen positive for dementia on well-validated scales (Montreal Cognitive Assessment (MoCA) ≤ 25 [59,60,61,62,63] and AD8 ≥ 2 [64, 65]), have a diagnosis of very mild to moderate stage dementia as confirmed by a score of 0.5 to 2.0 on the Clinical Dementia Rating Scale (CDR) , and have a FCG as the designated study partner for the duration of the study. Patients are excluded from the study if they have mild cognitive impairment (CDR = 0.5 without functional or ADL impairments), severe dementia (CDR =3), any significant neurological condition associated with cognitive impairment other than dementia (e.g., brain tumor), a major acute psychiatric disorder, have no FCG to participate, are enrolled in a hospice, are admitted from a nursing home, or experience transfers to another unit for stays longer than 48 h.
FCGs age 18 years and above are eligible if they speak English or Spanish, are related to the patient by blood, marriage, adoption, or affinity as a significant other (defined by the legally authorized person as the primary person providing oversight and support on an ongoing basis), are able to recall at least two words of a three-word recall (to eliminate cognitive impairment), and participate, at a minimum, in the initial assessment and development of the plan of care.
For the exploratory aim of assessing the cultural appropriateness of the intervention, we recruit FCGs who self-identify as black, Latino, Asian and white, randomly selected from the Fam-FFC sample. Approximately 10% of families from each ethnic group represented in the study are approached for consent for participation in interviews. (Interviews continue until theoretical saturation is reached). Additionally, the six registered nurse (RN) champions are consented and interviewed after the study ends in their particular unit/setting to provide their perspective on the cultural appropriateness of Fam-FFC. Finally, at the conclusion of the intervention at each site, approximately six to eight RNs who have worked on the study units and represent both shifts are recruited to participate voluntarily in focus groups evaluating nurse-reported perceptions of the influence of management and organizational culture, the likelihood of continuing to implement the intervention, and satisfaction.
Recruitment, enrollment, and randomization
Recruitment and enrollment
Research staff work with identified setting staff to provide a list of potentially eligible patients (age ≥ 65 years, dementia, not in a hospice or admitted from a nursing home). The patient and legally authorized representative (LAR) are approached to discuss the study, and if granted, receive: (1) brief oral and written information about the study and (2) a copy of the consent form. The requirement to have a FCG involved and consented is explained to the patient/LAR. The patient and LAR may decide that another person, a FCG other than the LAR, is the best person to participate in the study. In that case, that FCG is provided information and, if agreeable, engaged in the consent process. Both patient and FCG consent are required. After information is provided, and the patient and FCG agree to participate, an evaluation of capacity to provide consent is conducted, using the Evaluation to Sign Consent (ESC) . If capacity is determined the patient may provide their own consent. If decisional capacity is impaired, and the patient provides assent, the LAR completes the consent process. The LAR is encouraged to try and determine what the patient would do if competent and base their decision upon what they think is in the patient’s best interest. The FCG’s ability to sign consent is also evaluated using the ESC. Only FCGs answering all ESC questions correctly are enrolled. Both patient and FCG (who may or may not be the LAR) consent are required for the study process to proceed to screening.
Upon consent, the research evaluator checks FCG eligibility and then screens the patient for dementia using the Montreal Cognitive Assessment (MoCA)  and AD8 . Patients who screen positive for dementia are then assessed for severity of dementia using the CDR . A diagnosis of very mild to moderate stage dementia as confirmed by a score of 0.5 to 2.0 on the Clinical Dementia Rating Scale is required. Functional ability is assessed with the Pfeffer Functional Activities Questionnaire (FAQ) to discriminate mild cognitive impairment (MCI) from dementia .
The consent process of patient/FCG dyads occurs within 48 h of admission to the unit. Patients are consented in person. The FCGs are also consented in person unless they are unable to be present with the research staff within the 48-h timeframe, in which case they are consented over the telephone. At the beginning of the study, prior to patient/FCG enrollment, nurse champions are consented to participate in an interview conducted after the intervention on their respective units to evaluate the cultural appropriateness of the intervention. Hospital staff nurses are consented for post-intervention focus groups at the conclusion of the intervention. The focus groups explore their perceptions of the intervention, including its sustainability.
The level of engagement required for the intervention prevents random assignment at the patient level, as patients would be alerted to differential treatment within the same unit and there is the risk of treatment “contamination” between intervention and control participants. Patients cannot be randomly assigned to inpatient units as assignment is determined by hospital staff, based upon the services required for each patient, as well as other factors. Thus, after the hospitals are randomized to the time cohort, within each hospital the two inpatient units are randomly assigned so that one unit receives Fam-FCC and the other unit receives the Staff-Ed (control) intervention. The risk of contamination is minimized by the fact that the intervention and control hospital units are not adjacent to one another; and are separated by several floors in one hospital and in two of the hospitals, the units are in different buildings. Nursing care units have separate nursing staff and management, and nurses do not rotate between units. Further, the enrolled patients and FCGs do not share communal areas between the units, and the units do not share nursing staff. Random assignment is completed by the statistician using SAS proc. plan which specifically allows simultaneous randomization on multiple dimensions (time and units), as well as counterbalancing across units. Participants are blinded to treatment arm prior to consent. Evaluators are not informed of randomization results or provided with the details of the intervention.
Description of the Fam-FFC intervention
The four components of Fam-FFC implemented by the Fam-FFC nurse, include: Component I – Environmental and Policy Assessments; Component II – Education and Training of Nursing Staff; Component III – Implementation of the FamPath Care Pathway, and Component IV –Ongoing Training and Motivation of Nursing Staff. The Environmental and Policy Assessment is designed to evaluate the unit’s readiness to implement Fam-FFC, including staff and family access to supplies, practices that support family engagement in care and decision-making, and general features that support comfort, safety, and function of older adults with cognitive impairment. Component II, education and training of the staff, focuses on the specialized needs of the person with dementia and their family members, how to provide and integrate FFC into all routine care, delirium prevention, detection, and management, and strategies to partner with FCGs to facilitate the care of the patient with dementia. Components I and II are implemented over a 2-month period, prior to enrolling patients and FCGs.
The Fam-FFC nurse initiates the FamPath care pathway, Component III, upon enrollment of the patient/FCG. Information and education are provided to the patient and FCG and the Fam-FFC nurse collaborates with the FCG /patient, with input from the interdisciplinary team to develop interdisciplinary bedside goals based on the underlying capability of the patient (using the Goal Attainment Scale)  and treatment plans (updated daily) and a discharge checklist. Post-acute follow-up to provide ongoing education and modification of the function-focused goals and care plan continues through weekly telephone contact starting within 48 h of discharge, and continuing for a total of 8 weeks, then monthly for 4 months. In Component IV, the Fam-FFC nurse works with the champions to mentor nursing staff (RN, LPN, nursing assistants) to provide Fam-FFC by role-modeling Fam-FFC, co-assessing the patient’s capability , reinforcing performance of and benefits of Fam-FFC at staff meetings and huddles, brainstorming about ways to overcome challenges, representing study activity to management, and observing for follow-through of the care plan . The four components of Fam-FFC are described in more detail in Table 1.
Description of the control condition
The Attention Control condition (Fam- FFC Ed-only) consists of education of the nursing staff per manualized protocol in participating hospital units. The education is offered exactly as in treatment sites, provided by research staff not familiar with the intervention. Education of FCGs includes orientation to the hospital and traditional discharge teaching (medications/ treatments, medical follow-up).
Treatment fidelity is evaluated with regard to delivery of the intervention, receipt, and enactment [72, 73] as shown in Table 2. Evidence of delivery is based on completion of the Assessment of the Hospital Environment and Policy at the initiation of the study on hospital units and at the end of the study period. The assessment is conducted by the Fam-FFC research nurse with champions as part of the intervention [54, 55]. Likewise, completion of the The Goal Attainment Scale  is used as evidence of delivery of the intervention. Evidence of receipt is based on scoring of the scales and evidence that there is improvement in the environments/ policies at the end of the study period and that the patient’s goals have been achieved at the time of discharge and during the home follow-up period. The scoring of the goal form is completed by the Fam-FFC research nurse with input from FCGs, champions, nursing staff, and other health care professionals who work with the patient. Receipt of the intervention is based on scores on the Knowledge of Fam-FFC test which is a valid and reliable, 15- item, paper-and-pencil multiple choice exam that tests staff knowledge about Fam-FFC [54, 55]. A score of 80% or greater among the nurses exposed to education is evidence of receipt of the intervention for staff in both the control and intervention groups. Enactment of the intervention is based on the FamPath Audit, which tracks delivery of FamPath and an observation of the nurse-patient interaction daily during the course of the hospital stay, using the Function Focused Care Behavior Checklist (FFC-BC). The FFC-BC is a valid and reliable objective measure that includes a 19-item checklist reflecting nursing staff performance of FFC . Bi-weekly meetings of the Fam-FFC research nurse with the principal investigator (PI) assure fidelity to the intervention.
Reasons for which participants may wish to discontinue the program may be varied, e.g., relocation, lack of time, lost interest in the program, or feeling too unwell. Participants who wish to discontinue will be invited to voluntarily inform the study team by email or telephone and provide reasons for discontinuation.
Figure 2 illustrates the overall schedule and time commitment for trial participants in both groups. Standardized data are collected via tablet computers and uploaded to the REDCap (Research Electronic Data Capture) data entry and management system. The training of evaluators includes interrater reliability (minimum of 90%). In addition to initial reliability testing, we conduct reliability rechecks at 6 and 9 months at each intervention site. The project manager audits data on a daily basis for completeness and appropriate ranges. All data are coded with an arbitrary subject number to allow for linking of data over time. The linkage to individual names is stored in a HIPAA-protected, password-accessed, Cloud content management and file sharing system. This information will be deleted when all study-related activities are completed.
Patient descriptive measures include age, race/ethnicity, gender, marital status, education, medical diagnoses, medications, the use of sensory and mobility devices, length of stay, and disease burden. Co-morbid conditions are classified with the Charlson Co-morbidity Index, a weighted index that takes into account both the number and seriousness of different co-morbid diseases, considered a valid and reliable measure of disease burden . Pre-admission function (ADL performance 2 weeks prior to admission) using the Barthel Index  (also an outcome measure) is evaluated based on report from the FCG. Upon discharge, details of length of stay, use of tethers (intravenous (IV) lines, pulse oximetry, urinary catheters, etc.), physical restraint use, and discharge disposition (home or other, e.g., assisted living or skilled nursing facility) are acquired.
Cognitive domains affected by both dementia and delirium are evaluated including executive function, orientation, memory, abstract thinking, and attention, using the subdomains of the MoCA . The use of rehabilitation therapies (number of physical therapy, occupational therapy and speech therapy sessions) and psychotropic medication prescribed during the hospitalization (drug, dose, frequency of antipsychotics, antidepressants, anxiolytics, sedatives/ hypnotics, mood stabilizers) are obtained through chart abstraction at discharge and FCG report after discharge.
FCG descriptive measures include age, race/ethnicity, gender, marital status, education, employment status, health literacy and relation to patient, acquired at the time of the first visit. General health and change in health compared to 1 year ago are assessed using two widely used items from the SF-36 . Health literacy (reading) is measured with the REALM-short form. The REALM-short form is highly correlated with three other tests with a reported test-retest of 0.99 [76, 77]. Anxiety is evaluated with the seven-item Hospital Anxiety and Depression Scale (HADS) subscale for Anxiety (HADS-A) and depression with the seven-item Hospital Anxiety and Depression Scale (HADS) subscale for Depression (HADS-D) [78, 79]. Scores can range from 0 to 21 with scores categorized as follows: normal (0–7), mild (8–10), moderate (11–14), severe (15–21) for each of the valid and reliable HADS subscales. Suicidal ideation is assessed using the Ask Suicide-Screening Questions .
Measures of primary outcomes
Our primary patient outcomes are physical function (activities of daily living, functional performance/ chair rise, physical activity), delirium (occurrence and severity), mood and behavior. These measures are collected within 48 h of admission to the unit (T0), within 72 h post discharge (T1), 8 weeks (T2), and 24 weeks post discharge (T3), by research evaluators via observation, input from staff, chart abstracting or interview of the patient/ FCG.
ADLs (activities of daily living) are assessed using the Barthel Index verbal report obtained from the nurse who is assigned to the patient’s care on the day of data collection. This 14-item measure of physical function assesses ability for self-care . There is sufficient evidence for the reliability and validity of the Barthel Index when used with older adults [75, 81], individuals with progressive neurological conditions , and when proxy respondents were utilized to report the functional abilities of dementia patients .
Functional performance is evaluated with the Timed Chair Rise, an item of the Balance subscale of the Tinetti Gait and Balance Scale . Previous work has identified this measure as a reliable and valid indication of function and strength . Physical activity is measured for 24 h using the MotionWatch. The MotionWatch offers wrist-worn actigraphy that records activity in set epochs of time  with established reliability and validity [85,86,87,88,89], and is well tolerated by cognitively impaired older adults .
Delirium occurrence is evaluated using structured interview consisting of questions from the MoCA observation  (items on orientation, memory, and language are used in the assessment of delirium) and the Confusion Assessment Method (CAM) . Delirium severity is assessed through an additive score for six items of the CAM (inattention, disorganized thinking, disorientation, memory impairment, perceptual disturbances, and psychomotor agitation/ retardation), scored as absent (0 points), present in mild form (1 point), or present in severe form (2 points). The seventh item, altered level of consciousness, is scored as alert (0 points), vigilant or lethargic (1 point), and stupor or coma (2 points). Scores range from 0 and 14, with a higher score indicating greater severity of delirium .
Mood is assessed using the Cornell Scale for Depression in Dementia (CSDD), a 19-item survey designed to assess depressive symptoms in individuals with dementia [92, 93]. There is sufficient evidence of reliability and validity . Behavior is evaluated with the Brief Neuropsychiatric Inventory (NPI-Q), a 12-item reliable, validated informant-based assessment of neuropsychiatric symptoms and associated caregiver distress .
Our primary family caregiver outcomes are collected within 72 h of discharge (T1), 8 weeks (T2) and 24 weeks post discharge (T3), and include preparedness for caregiving, strain, burden, and desire to institutionalize scales: the Preparedness for Caregiving Scale is an eight-item instrument that asks caregivers how well prepared they believe they are for multiple domains of caregiving: physical care and emotional support, setting up support services, dealing with the stress of caregiving. Items are rated 0 (not at all prepared) to 4 (very well prepared); shows very good reliability and internal consistency , including in FCGs of hospitalized persons with dementia . The Modified Caregiver Strain Index (CSI) is a 13-question tool that measures strain (financial, physical, social, psychological, and personal) related to care provision, with excellent internal consistency and reliability [96, 97]. Caregiver burden is measured with the Zarit Burden Interview (ZBI-12) short version, a 12-item tool that measures caregiver perception of burden has shown high internal consistency and discriminative ability in dementia caregivers . The Spanish version has demonstrated good psychometric properties . The Desire to Institutionalize Scale is a six-item scale with moderate reliability (Cronbach’s alpha = 0.694) .
Qualitative data: staff nurse views of the intervention
A semi-structured interview guide is used in focus groups that explore staff nurses’ views of the effectiveness of the intervention, as well as the barriers to, facilitators of, and sustainability of the intervention. The focus groups, conducted at the conclusion of the intervention at each site, are audiotaped, transcribed, and audited for consistency with written recordings.
We have developed cost-related data collection forms, specifically Activity Diaries, to help facilitate data collection for the activities and time to complete the activities that are above and beyond routine care for the champions, research nurse facilitators, and staff. These include staff and research nurse time and hours worked, training time including for replacement personnel), supplies, and incentives. Post-acute health care utilization by the patient is evaluated with a cumulative count of emergency room visits, number/days of hospitalizations, and long-term nursing home admissions 24 weeks after discharge, obtained from questioning of the family at each point of data collection. Health care unit charges and reimbursement rates are obtained from yearly publications from the American Hospital Associations, other health data organizations, and the published literature.
Sample size calculations
We powered our study based on our primary endpoint, ADLs. In our pilot study, the effect size on the change score of this endpoint from baseline to 12 months is an expected Cohen’s d = 0.55 [54, 55]. For any cluster randomized trials, a key issue for sample size and power is the intracluster correlation coefficient (ICC) which measures the similarity of the outcomes from individuals within the same cluster. Our pilot study data showed that the ICC for ADL was small: ICC = 0.073. Our pilot work demonstrated low attrition rates (3 to 5%) and attrition may increase given that the current trial will be larger in size. We target a total sample size of 438 with 73 per inpatient unit, sufficient to detect an intervention effect comparable to the observed effect size in our pilot study, with 80% statistical power assuming a 20% attrition rate. We incorporate the following recruitment approaches to reach target sample size: (1) twice a day contact with unit staff to capture potential participants, and (2) the coordination of recruitment activity so as not to conflict with routine patient and staff activity (e.g., rounds, meals, peak personal care times). Sample retention is always a potential limitation in longitudinal studies. We address this issue by offering modest honorariums a (a US$20 gift card to FCGs at discharge from the hospital, month 2, and month 6), scheduling interviews at a time/ location convenient to the patient and FCG and rescheduling canceled interviews. We also utilize scheduling reminders and plan the data collection in such a way as to promote continuity between acute and post-acute staff.
Analysis of aims
The intent-to-treat principle is followed to analyze data . If the participant withdraws from this study, already-collected data are not removed from the study database. Initial analysis of the patient and their caregiver’s characteristics by experimental group at baseline and each follow-up time point is conducted to assess for any potential bias created by randomization and differential attrition. We perform the same analysis to compare other potential confounders on hospitalization and long-term institutionalization and identify any that are unbalanced between the intervention and the control groups. All unbalanced covariates are included in the outcome analyses to adjust for confounding. In case there are large number of unbalanced covariates, propensity score methods are used for controlling their confounding effects . Other variables that are included are patient and FCG gender, race/ethnicity, age, patient co-morbidity, dementia severity, and the amount/nature of contact with the patient/ FCG (extracted from the FamPath Activity Log) as these variables are likely to impact outcomes. We anticipate that the majority (> 90%) of patients will be discharged to home (as opposed to assisted living or subacute rehab) [54, 55]; however, we plan for potential discharge to non-home settings and include discharge disposition as a covariate.
Analyses of primary outcomes
For each patient and FCG outcome, an appropriate mixed-effects model (either a linear mixed effect (LME) or a generalized linear mixed model (GLMM)) will be identified for model-fitting depending on the distributions of the outcome variables. For delirium occurrence (a binary variable) we will use GLMMs with a logistic link function. The primary independent variables will be GROUP (Fam FCC v. control), TIME (day of admission, day of discharge, 8 weeks post discharge and 24 weeks post discharge), and SITE (for the three hospitals). The TIME × GROUP interaction will be tested for differential rate of change in the outcome. The GROUP × SITE interaction will be tested for heterogeneous hospital effects. Three-level models (level 1: time, level 2: patient, level 3 hospital) using an unstructured correlation will be fitted for the repeated measures within individuals who are nested within the same inpatient unit [103,104,105,106]. Time will be modeled continuously using day since admission so that trajectories can vary across individuals depending on time spent in the inpatient unit. This also allows us to examine non-linear time functions (e.g., quadratic) that allow the rate of change to vary over the different intervals. Covariates identified from the baseline analyses will be included in the mixed model to adjust for their influences. We will include time from admission to discharge (as a difference) at the individual level to evaluate the potential influence of hospital length of stay. We will also consider interactive effects among demographic variables of interest (e.g., age, gender of patient and FCG, ethnicity) and treatment condition to identify moderators of the treatment effects.
Bootstrap methods will be applied to the mixed-effects models in addition to the Wald test and the likelihood ratio test within the mixed-effects models [107,108,109]. To address the multiple endpoints issue in this trial, p < 0.05 for the primary hypothesis and then multiple testing procedures such as closed testing implemented in PROC MULTTEST will be applied to adjust p values. For missing data, mixed-effects models tolerate missing-at-random data using restricted estimation maximum likelihood that allows unbalanced data (e.g., missing follow-up assessments for some participants). For non-ignorable missing data, pattern mixture random-effects models can be applied to estimate the average treatment effect. Sensitivity analyses will determine if different sets of assumptions on the missing data structure lead to similar conclusions .
Standard micro-costing methods will be used to estimate the cost of Fam-FCC. Using the guidelines offered by Chatterji and colleagues , total intervention costs will be based on expenditures/ outlays for each of the following: (1) intervention (activity logs reporting time and cost of Fam-FFC nurse and nurse champions); (2) personnel costs (including staff training), (3) incentives for study participants; and (4) supplies/equipment costs. We will identify all of the “inputs” that go into the implementation and then assign unit costs to these inputs (wages/salaries acquired from the unit managers, cost of materials, etc.). Then, we will multiply the units of inputs by their unit costs and sum this across all of inputs to determine the total cost of implementation per setting. An average across all settings will then be calculated.
To estimate the cost of health care for each group, we will collect unit costs from existing literature including data published yearly by the American Medical Association, the American Hospital Association, the National Hospital Discharge Survey, and the American Managed Behavioral Healthcare Association. Similarly, these unit cost estimates for each type of health care utilization (emergency room, hospital and long-term nursing home admissions) will then be multiplied by the number of units used by each individual in the sample. A variable will be created for total health care cost for the admission and all health care services in the 24 weeks after discharge by summing across conditions while exercising care to avoid any double counting of services. Health care and total cost savings will be calculated for each treatment condition. Mean costs and savings will be computed and subsequently tested for statistical significances across conditions using a t test. In calculating cost, we will also take into account fixed versus variable costs adjusting for variation over time in wages, benefits, and supplies using a standard micro-costing approach. We will then use multivariable regressions to determine whether Fam-FCC is significantly related to lower costs of health care and total cost savings controlling for covariates. Moreover, we will compare health care costs in terms of changes over time with paired a t test (within-group differences) and with parametric analysis of variance (between group differences).
Assessment of the cultural appropriateness of Fam-FCC
We employ the Ecological Model (EM) originally developed by Bernal and colleagues as a framework to assess the cultural appropriateness of the Fam-CC intervention [112,113,114], and to refine Fam-FCC for future studies. The EM posits that there are eight dimensions to consider when assessing the cultural appropriateness of an intervention. As applied to Fam-FCC, we consider the following: (1) language: did the family receive the intervention information in terminology, vernacular in which they felt comfortable? (2) persons: in how many of the 438 dyads did the nurse champion reflect ethnic group of the family? (3) metaphors: use of cultural terms equivalent to those used by participants, (4) content: were the values, customs, and traditions shared by the ethnic or minority group apparent in the intervention? (5) concepts: were caregiving concepts congruent with cultural norms? (6) goals: were intervention goals congruent with family cultural norms and goals? (7) methods: delivery of the intervention is culturally appropriate, and (8) context: does the intervention consider the family’s socio-community context? We will implement this EM assessment with four components, described in Table 3.
We will analyze the data of the focus groups with nurses that explores barriers, facilitators, and sustainability of Fam-FFC through qualitative content analysis of audiotaped, transcribed interviews conducted at the conclusion of the intervention at each site. Three members of the research team will code the data and compare results until consensus is reached. Codes will then be reduced to themes. Trustworthiness will be supported by the team’s methodological expertise, rigorous analytic approaches, member checking, and a detailed audit trail .
Monitoring the study
The Data Safety Monitoring Committee (DSMC) is chaired by a researcher who has extensive expertise in data safety and monitoring, clinical trials, and dementia caregiving research including bioethical considerations. The additional members of the DMSC include two biostatisticians who have experience on a DSMC and a nurse clinician with extensive experience in behavior-change research and care of older adults with dementia. The DSMC will meet at least annually via web conferencing; all members of the investigative team are invited to participate in open meetings. If necessary, the DSMC chair may hold a closed meeting, to be attended only by the committee and representative from the NIA. The first meeting of the DSMC held prior to recruitment of participants focused on review of the study protocol and recruitment plan, consideration of participant burden, and a review of our plan for participant safety and comfort. The subsequent meetings focus on the progress of the study with regard to data quality and timeliness, participant consent, accrual and retention of participants, participant risk versus benefit, performance of intervention units, and any adverse events that occur during the course of the study to date. One or more major adverse events will also trigger a DSMC meeting. At the end of each meeting, the committee makes recommendations to the NIH, Institutional Review Board(s), and the PI and investigative team concerning continuation or conclusion of the trial.
The care and services provided in the hospital have a profound and permanent effect on persons with ADRD and their families, in terms of not only their inpatient experience, but also their ongoing functioning, relationships, wellbeing, quality of life and the fundamental decisions that are made about their future. The negative consequences of an acute illness or injury often begin prior to the hospitalization  and persist well into the post-acute period, resulting in increased risk for care dependency, FCG burden, long-term nursing home stay, resource consumption, and cost. The proposed study builds upon pilot work [54, 55] in the acute care setting and focuses on improving functional and behavioral outcomes that impact the quality of life for both FCGs and patients with dementia, a population that is often excluded from acute care research.
This study is limited in that it will be conducted in only three acute care facilities in a single region. There is also the risk of carryover between treatment and control units given that the staff nurses from different units may talk to each other during non-work time in a social setting (such as in the cafeteria, parking lot, etc.). Measurement is limited as some measures are dependent on input from staff that may not know the patient that well (e.g., the Barthel Index). Despite challenges, this study constitutes an important step in quantifying the long-term, positive impact of Fam-FFC among patients with very mild to moderate cognitive impairment, as well as their FCGs. If the full Fam-FFC demonstrates positive results, we will need to evaluate the efficacy of different components and dosing of the intervention in future research.
The strengths of the study include the use of facility-based champions and a rigorous treatment fidelity plan. The Fam-FFC intervention has the potential to reduce poor health outcomes that are major sources of today’s spiraling health care costs. This study should have direct implications for clinical practice and informing policy related to effective care delivery for persons with dementia in acute care, a neglected area of research and program development. The societal implications of helping older individuals with ADRD avoid functional decline, adverse events, long-term nursing home admissions, and hospitalizations are enormous in terms of aging in place, quality of life, cost, and caregiver burden. The study findings will be relevant for other areas of behavior-change research in acute care, specifically those related to engaging patients and families in health care planning, delivery, and evaluation (Additional file 1).
Recruitment began in November 2017 and is expected to finish in October 2021, approximately.
Activities of daily living
Alzheimer’s disease or a related dementia
Confusion Assessment Method
Clinical Dementia Rating Scale
Cornell Scale for Depression in Dementia
Modified Caregiver Strain Index
Data Safety Monitoring Committee
Evaluation to Sign Consent
- Fam-FFC Ed-only:
Fam- FFC Education-only
- Fam-FFC Nurse:
Family centered Function Focused Care nurse
Family centered Function-focused Care
Functional Activities Questionnaire
Function Focused Care Behavior Checklist
Hospital Anxiety and Depression Scale
Hospital Anxiety and Depression Scale subscale for Anxiety
Hospital Anxiety and Depression Scale subscale for Depression
Intracluster correlation coefficient
Legally authorized representative
Montreal Cognitive Assessment
National Institute of Aging
Research Electronic Data Capture
Social Cognitive Theory
Alzheimer’s Association. Alzheimer’s disease facts and figures. Alzheimers Dement. 2017;2017:1–49.
Zhao Y, Kuo T-C, Weir S, Kramer M, Ash A. Healthcare costs and utilization for Medicare beneficiaries with Alzheimer’s. BMC Health Serv Res. 2008;8(1):108.
Feng Z, Coots LA, Kalaganova Y, Wiener JM. Hospital and ED use among Medicare beneficiaries with dementia varies by setting and proximity to death. Health Aff. 2014;33(4):683.
Phelan EA, Borson S, Grothaus L, Balch S, Larson EB. Association of incident dementia with hospitalizations. JAMA. 2012;307:165–17.
Zekry D, Herrmann FR, Grandjean R, et al. Demented versus non-demented very old inpatients: the same co-morbidities but poorer functional and nutritional status. Age Ageing. 2008;37:83–9.
Margiotta A, Bianchetti A, Ranieri P, Trabucchi M. Clinical characteristics and risk factors of delirium in demented and not demented elderly medical inpatients. J. Nutr. Health Aging. 2006;10(6):535–9.
Mecocci P, von Strauss E, Cherubini A, et al. Cognitive impairment is the major risk factor for development of geriatric syndromes during hospitalization: results from the GIFA study. Dement Geriatr Cogn Disord. 2005;20(4):262–9.
Watkin L, Blanchard MR, Tookman A, et al. Prospective cohort study of adverse events in older people admitted to the acute general hospital: risk factors and the impact of dementia. Int J Geriatr Psychiatry. 2012;1:76–82.
Maslow K. How many people with dementia are hospitalized? In: Silverstein N, Maslow K, editors. Improving hospital care for persons with dementia. New York: Springer; 2006. p. 3–22.
Sampson EL, Blanchard MR, Jones L, et al. Dementia in the acute hospital: prospective cohort study of prevalence and mortality. Br J Psychiatry J Ment Sci. 2009;195(1):61–6.
Fong TG, Jones RN, Shi P, et al. Delirium accelerates cognitive decline in Alzheimer disease. Neurology. 2009;72(18):1570–5.
Kiely DK, Jones RN, Bergmann MA, Murphy KM, Oray EJ, Marcantonio ER. Association between delirium resolution and functional recovery among newly admitted postacute facility patients. J Gerontol A Biol Sci Med Sci. 2006;61(2):204–8.
Kiely DK, Jones RN, Bergmann MA, Murphy KM, Oray EJ, Marcantonio ER. Association between psychomotor activity delirium subtypes and mortality among newly admitted post-acute facility patients. J Gerontol A Biol Sci Med Sci. 2007;62(2):174–9.
Daiello LA, Gardner R, Epstein-Lubow G, Butterfield K, Gravenstein S. Association of dementia with early rehospitalization among Medicare beneficiaries. Arch Gerontol Geriatr. 2014;59(1):162–8.
Boltz M, Galvin J. Family-centered strategies to promote cognitive and functional recovery in acutely ill person with dementia. Alzheimers Dement. 2013;9(S5):515–6.
Jutkowitz E, Kane RL, Gaugler JE, MacLehose RF, Dowd B, Kuntz KM. Societal and Family Lifetime Cost of Dementia: Implications for Policy. J Am Geriatr Soc. 2017;65(10):2169–2175.
Boltz M, Chippendale T, Resnick B, Galvin J. Anxiety in family caregivers of hospitalized persons with dementia: contributing factors and responses. Alzheimer’s Dis Assoc Disord. 2015;29(3):236–41.
Boltz M, Galvin J. Post-acute needs of the person with dementia and their family caregivers. Gerontologist. 2013;53:S1.
Erdem E. Prevalence of chronic conditions among Medicare Part A beneficiaries in 2008 and 2010: are Medicare beneficiaries getting sicker? Prev Chronic Dis. 2014;11:130118.
Miu DK, Chan CW, Kok C. Delirium among elderly patients admitted to a post-acute care facility and 3-months outcome. Geriatrics & gerontology international. 2016;16(5):586–92.
Sands LP, Yaffe K, Covinsky K, et al. Cognitive screening predicts magnitude of functional recovery from admission to 3 months after discharge in hospitalized elders. J Gerontol A Biol Sci Med Sci. 2003;58(1):37–45.
Goodwin JS, Howrey B, Zhang DD, Kuo YF. Risk of continued institutionalization after hospitalization in older adults. J Gerontol A Biol Sci Med Sci. 2011;66(12):1321–7.
Covinsky KE, Pierluissi E, Johnston CB. Hospitalization-associated disability. JAMA. 2011;306(16):1782–4.
Mathews SB, Arnold SE, Epperson CN. Hospitalization and cognitive decline: can the nature of the relationship be deciphered? Am J Geriatr Psychiatry. 2014;22(5):465–80.
Borbasi S, Jones J, Lockwood C, Emden C. Health professionals’ perspectives of providing care to people with dementia in the acute setting: toward better practice. Geriatr Nurs. 2006;27(5):300–8.
Waugh A1, Marland G, Henderson J, Robertson J, Wilson A. Improving the care of people with dementia in hospital. Nurs Stand. 2011;25(32):44–9.
Brown CJ, Redden DT, Flood KL, Allman RM. The under-recognized epidemic of low mobility during hospitalization of older adults. J Am Geriatr Soc. 2009;57(9):1660–5.
Boltz M, Resnick B, Shabbat N, Capezuti E. Function-focused care and changes in physical function in Chinese American and non-Chinese American hospitalized older adults. Rehabil Nurs. 2011;36(6):233–40.
Gill SS, Bronskill SE, Normand SL, et al. Antipsychotic drug use and mortality in older patients with dementia. Ann Intern Med. 2007;146:775–86.
Minnick AF, Mion LC, Johnson ME, Catrambone C, Leipzig R. Prevalence and variation of physical restraint use in US acute care settings. J Nurs Scholarsh. 2007;39(1):30–7.
Galvin JE, Kuntemeier B, Al-Hammadi N, Germino J, Murphy-White M, MFCGillick J. Dementia-friendly hospitals: care not crisis. Improving the care of the hospitalized patient with dementia. Alz Dis Assoc Disord. 2010;24:372–9.
Gandesha A, Souza R, Chaplin R, Hood C. Adequacy of training in dementia care for acute hospital staff. Nursing Older People. 2012.
Boltz M, Capezuti E, Shabbat N. Nursing staff perceptions of physical function in hospitalized older adults. Appl Nurs Res 2011. 24(4):215–22.
Boltz M, Capezuti E, Shabbat N, Hall K. Going home better not worse: older adults’ views on physical function during hospitalization. Int J Nurs Pract. 2010;16(4):381–8.
Boltz M, Resnick B, Capezuti E, Shuluk J. Activity restriction vs self-direction: hospitalised older adults’ response to fear of falling. Int J Older People Nurs. 2014;9:44–53.
Schulz R, Martire LM. Family caregiving of persons with dementia: prevalence, health effects, and support strategies. Am J Geriatr Psychiatry. 2004;12:240–9.
Brodaty H, Donkin M. Family caregivers of people with dementia. Dialogues Clin Neurosci. 2009;11(2):217–28.
Drame M, Lang PO, Jolly D, et al. Nursing home admission in elderly subjects with dementia: predictive factors and future challenges. J Am Med Dir Assoc. 2012;13(1):83. e17–20
Resnick B, Boltz M, editors. Optimizing physical activity and function across settings. Annual review of gerontology and geriatrics. New York: Springer; 2016.
Clissett P, Porock D, Harwood RH, Gladman JRF. The challenges of achieving person-centred care in acute hospitals: a qualitative study of people with dementia and their families. Int J Nurs Stud. 2013;50(11):1495–503.
Howard R, Ballard C, O’Brien JO, Burns A. Guidelines for the management of agitation in dementia. Int J Geriatr Psychiatry. 2011;16(7):714–7.
Bannon K. Reforming dementia care. Nurs Times. 2013;109:12–27.
Jeste DV, Blazer D, Casey D, Meeks T, Salzman C, Schneider L, Tariot P, Yaffe K. ACNP White Paper: update on use of antipsychotic drugs in elderly persons with dementia. Neuropsychopharmacology. 2008;33(5):957–70.
Pretzer-Aboff I, Galik E, Resnick B. Testing the feasibility and long-term impact of a function focused care intervention for people with Parkinson’s in the community setting. Nurs Res. 2011;60(4):276–28.
Shankar KN, Hirschman KB, Hanlon AL, Naylor MD. Burden in caregivers of cognitively impaired elderly adults at time of hospitalization: a cross-sectional analysis. J Am Geriatr Soc. 2014;62(2):276–84.
Campbell P, Wright J, Oyebode J, et al. Determinants of burden in those who care for someone with dementia. Int J Geriatr Psychiatry. 2008;23:1078–85.
Ory MG, Hoffman RR, Yee JL, et al. Prevalence and impact of caregiving: a detailed comparison between dementia and nondementia caregivers. Gerontologist. 1999;39:177–85.
Cooper C, Katona C, Orrell M, Livingston G. Coping strategies and anxiety in caregivers of people with Alzheimer’s disease: the LASER-AD study. J Affect Disord. 2006;90:15–20.
Gaugler JE, Yu F, Krichbaum K, Wyman JF. Predictors of nursing home admission for persons with dementia. Med Care. 2009;47:191–8.
Elliot R, Adams J. The creation of a dementia nurse specialist role in an acute general hospital. J Psychiatric Mental Health Nurs. 2011;18(7):648–52.
Li H, Powers BA, Melnyk BM, et al. Randomized controlled trial of CARE: an intervention to improve outcomes of hospitalized elders and family caregivers. Res Nurs Health. 2012;35:533–49.
Jack BW, Chetty VK, Anthony D, et al. A reengineered hospital discharge program to decrease rehospitalization: a randomized trial. Ann Intern Med. 2009;150:178–87.
Naylor MD, Stephens C, Bowles KH, Bixby MB. Cognitively impaired older adults: from hospital to home. AJN. 2005;105(2):52–61.
Boltz M, Chippendale T, Resnick B, Galvin J. Testing family centered, function-focused care in hospitalized persons with dementia. Neurodegen Dis Manag. 2015;5(3):203–15.
Boltz M, Resnick B, Chippendale T, Galvin J. Testing a family-centered intervention to promote functional and cognitive recovery in hospitalized older adults. J Am Geriatr Soc. 2014;62(12):2398–407.
Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27:297–322.
Resnick B, Galik E, Boltz M. Function focused care approaches to care for older adults: literature review of progress and future possibilities. J Am Med Direct Assoc. 2012;14(5):313–8.
Bandura A. Self-efficacy: the exercise of control. New York: WH Freeman Company; 1997.
Nasreddine Z, Phillips N, Bédirian V, et al. The Montreal Cognitive Assessment (MoCA): a brief screening tool for mild cognitive impairment. JAGS. 2005;53:695–9.
Goldstein FC, Ashley AV, Miller E, et al. Validity of the Montreal Cognitive Assessment as a screen for mild cognitive impairment and dementia in African Americans. J Geriatr Psychiatry Neurol. 2014;27(3):199–203.
Smith T, Gildeh N, Holmes C. The Montreal Cognitive Assessment: validity and utility in a memory clinic setting. Can J Psychiatr. 2007;52(5):329–32.
Validation of the Montreal Cognitive Assessment. Spanish Version test (MoCA-S) as a screening tool for mild cognitive impairment and mild dementia in Bogotá, Colombia. Alzheimer’s Dementia. 2013;9(4):P452–3.
Berstein IH, Lacritz L, Barlow CF, Weiner MF, DeFina LF. Psychometric evaluation of the Montreal Cognitive Assessment (MoCA) in three diverse samples. Clin Neuropsychol. 2011;25(1):119–26.
Galvin JE, Roe CM, Powlishta KK, et al. The AD8, a brief informant interview to detect dementia. Neurology. 2005;65:559–64.
Galvin JE, Roe CM, Xiong C, Morris JC. The validity and reliability of the AD8 informant interview for dementia. Neurology. 2006;67:1942–8.
Morris JC. Clinical dementia rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type. Int Psychogeriatr. 1997;9(Suppl 1):173–6. discussion 177-8
Resnick R, Gruber-Baldini AL, Pretzer-Aboff L, et al. Reliability and validity of the evaluation to sign consent measure. Gerontologist. 2007;47:69–7.
Pfeffer RI, et al. Measurement of functional activities in older adults in the community. J Gerontol. 1982;37(3):323–9.
Kiresuk TJ, Smith A, Cardillo JE. Goal attainment scaling: applications, theory and measurement. Mahwah: Lawrence-Erlbaum; 1994.
Resnick B, Galik E, Boltz M. Basic Physical Capability Scale: psychometric testing with cognitively impaired older adults. Am J Alzheimers Dis. Other Demen. 2014;29(4):326–32.
Resnick B, Rogers V, Galik E, Gruber-Baldini A. Measuring restorative care provided by nursing assistants: reliability and validity of the Restorative Care Behavior Checklist. Nurs Res. 2007;56:387–98.
Bellg AJ, Borrelli B, Resnick B, et al. Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Health Psychol. 2004;23:443–51.
Resnick B, Bellng AJ, Borrelli B, et al. Examples of implementation and evaluation of treatment fidelity in the BCC studies: where we are and where we need to go. Ann Behav Med. 2005;29:46–54.
Van Doorn C, Bogardus S, Williams C, Concato J, Towle V, Inouye S. Risk adjustment for older hospitalized persons: a comparison of two methods of data collection for the Charlson Index. J Clin Epidemiol. 2001;54:694–701.
Mahoney F, Barthel D. Functional evaluation: the Barthel Index. Md State Med J. 1965;14:61–5.
Ware JE. SF-36 Health Survey. Boston: The Health Institute, New England Medical Center; 1993.
Dumenci L, Matsuyama RK, Kuhn L, Perera RA, Siminoff LA. On the validity of the Shortened Rapid Estimate of Adult Literacy in Medicine (REALM) Scale as a measure of health literacy. Commun Methods Meas. 2013;7(2):134–43.
Herrmann C. International experiences with the Hospital Anxiety and Depression Scale—a review of validation data and clinical results. J Psychosom Res. 1997;42(1):17–41.
Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale: an updated literature review. J Psychosom Res. 2002;52(2):69–77.
National Institute of Mental Health website. The Ask Suicide-Screening Questions. Accessed 21 Mar 2018 at: https://www.nimh.nih.gov/labs-at-nimh/asq-toolkit-materials/index.shtml
Resnick B, Daly MP. Predictors of functional ability in geriatric rehabilitation patients. Rehabil Nurs. 1998;23:21–9.
Nicholl L, Hobart J, Dunwoody L, Cramp F, Lowe-Strong A. Measuring disability in multiple sclerosis: is the Community Dependency Index an improvement on the Barthel Index? Mult Scler. 2004;10:447–50.
Ranhoff AH. Reliability of nursing assistants’ observations of functioning and clinical symptoms and signs. Aging (Milano). 1997;9:378–80.
Tinetti ME, Williams TF, Mayewski R. Fall Risk Index for elderly patients based on number of chronic disabilities. Am J Med. 1986;80:429–34.
CamnTech MotionWatch8 https://www.camntech.com/products/motionwatch/motionwatch-8-overview. Accessed 2 April 2018.
Warms CA, Belza BL. Actigraphy as a measure of physical activity for wheelchair users with spinal cord injury. Nurs Res. 2004;53:136–43.
Landry GJ, Falck RS, Beets MW, Liu-Ambrose T. Measuring physical activity in older adults: calibrating cut-points for the MotionWatch 8©. Front Aging Neurosci. 2015;1025:25.
Landry GJ, Best JR, Liu-Ambrose T. Measuring sleep quality in older adults: a comparison using subjective and objective methods. Front Aging Neurosci. 2015;7:166.
Eggermont LHP, Scherder EJA. Ambulatory but sedentary: impact on cognition and the Restactivity rhythm in nursing home residents with dementia. J Gerontol B Psychol Sci Soc Sci. 2008;63:279–87.
Inouye S, Van Dyck C, Alessi C, Balkin S, Siegal A, Horwitz R. Clarifying confusion: the Confusion Assessment Method. A new method for detection of delirium. Ann Intern Med. 1990;113:941–8.
Trzepacz P, Baker R, Greenhouse J. A symptom rating scale for delirium. Psychiatry Res. 1988;23:89–97.
Alexopoulos GS, Abrams RC, Young RC, Shamoian CA. Cornell Scale for Depression in Dementia. Biol Psychiatry. 1998;23:271–84.
Korner A, Lauritzen L, Abelskov K, et al. The Geriatric Depression Scale and the Cornell Scale Depression in Dementia. A validity study. Nord J Psychiatry. 2006;60:360–4.
Kaufer DI, Cummings JL, Ketchel P, et al. ST. Brief Neuropsychiatric Inventory (NPI-Q) Validation of the NPI-Q, a Brief Clinical Form of the Neuropsychiatric Inventory. J Neuropsychiatry. 2000;12(2):233–239.
Archbold PG, Stewart BJ, Greenlick MR, Harvath TA. The clinical assessment of mutuality and preparedness in family caregivers to frail older people. In: Key aspects of eldercare. New York: Springer; 1992. p. 328–39.
Robinson B. Validation of a Caregiver Strain Index. J Geron. 1983;38:344–8.
Thornton M, Travis SS. Analysis of the reliability of the Modified Caregiver Strain Index. J Geron. 2003;58B(2):S127–32.
Herbert R, Bravo G, Preville M. Reliability, validity, and reference values of the Zarit Burden Interview for assessing informal caregivers of community-dwelling older persons with dementia. Can J Aging. 2000;19:494–507.
Martın-Carrasco M. EDUCA study: psychometric properties of the Spanish version of the Zarit Caregiver Burden Scale. Aging Ment Health. 2010;14(6):705–11.
Morycz RK. Caregiving strain and the desire to institutionalize family members with Alzheimer’s disease. Res Aging. 1985;7:329–61.
Hollis S, Campbell F. What is meant by intention to treat analysis? Survey of published randomised controlled trials. BMJ. 1999;319:670–67117.
Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res. 2011;46(3):399–424.
SAS / STAT 9.2 User’s Guide (SAS Institute Inc.). https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#titlepage.htm. Accessed 2 April 2018.
Gibbons RD, Hedeker D. Random effects Probit and logistic regression models for three-level data. Biometrics. 1997;4:1527.
Raman R, Hedeker D. A mixed-effects regression model for three-level ordinal response data. Stat Med. 2015;24(21):3331–45.
Singer JD. Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. J Educ Behav Stat. 1998;4:323.
Das S, Krishen A. Some bootstrap methods in nonlinear mixed-effect models. J Stat Plann Infer. 1999:75(2)37–45.
Samanta M, Welsh A. Bootstrapping for highly unbalanced clustered data. Comput Stat Data Anal. 2013:59(1)70–81.
Thai H, Mentre F, Holford N, Veyrat-Follet C, Comets E. A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed-effects models. Pharm Stat. 2013;12(3):129–40.
Hedeker D, Gibbons RD. Application of random-effects pattern-mixture models for missing data in longitudinal studies. Psychol Methods. 1997;2(1):64.
Chatterji P, et al. Applying cost analysis methods to school-based prevention programs. Prev Sci. 2001;2(1):45–55.
Crowder SJ, Broome ME. A framework to evaluate the cultural appropriateness of intervention research. West J Nurs Res. 2012;34(8):1002–22.
Bernal G, Sáez-Santiago E. Culturally centered psychosocial interventions. J Community Psychol. 2006;34(2):121–32.
Neuendorf K. The content analysis guidebook. Thousand Oaks: Sage; 2002.
Boltz M, Chippendale T, Lee K-H, Trotta R. The influence of family caregiver factors upon pre-admission functional decline in hospitalized persons with dementia. Arch Gerontol Geriatr. 2018;74:49–54.
We gratefully acknowledge the study staff and the participants in this study who willingly gave their time to participate.
This study is supported by the National Institute of Aging (NIA), the National Institutes of Health, grant number: R01:AG054425–01. The NIA had no role in study design; in the writing of the manuscript; or in the decision to submit the manuscript for publication.
Ethics approval and consent to participate
The Fam-FFC study was approved by the Pennsylvania State University Institutional Review Board on 9 February 2017 (Study #:00006201). Any proposed modifications to the protocol will be submitted to the IRB for approval, and ClinicalTrials and participants apprised when indicated. Authors will have access to the final trial dataset. We will actively disseminate the findings of the proposed research via standard peer review mechanisms including the submission of abstracts for poster and podium presentations at local, regional, national, and international scientific meetings. We will prepare summary findings for key NIH staff as requested for inclusion in relevant reports. We plan to prepare and submit manuscripts for publication in geriatric/gerontological, behavioral health, and medical journals. As is customary, findings will also be presented to lay audiences following appropriate peer review.
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Boltz, M., Kuzmik, A., Resnick, B. et al. Reducing disability via a family centered intervention for acutely ill persons with Alzheimer’s disease and related dementias: protocol of a cluster-randomized controlled trial (Fam-FFC study). Trials 19, 496 (2018). https://doi.org/10.1186/s13063-018-2875-1
- Family engagement
- Functional recovery