Allegranzi B, Bagheri Nejad S, Combescure C, Graafmans W, Attar H, Donaldson L, et al. Burden of endemic health-care-associated infection in developing countries: systematic review and meta-analysis. Lancet. 2011;377(9761):228–41. https://doi.org/10.1016/S0140-6736(10)61458-4.
Article
PubMed
Google Scholar
Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008;36(5):309–32. https://doi.org/10.1016/j.ajic.2008.03.002.
Article
PubMed
Google Scholar
Leaper DJ, van Goor H, Reilly J, Petrosillo N, Geiss HK, Torres AJ, et al. Surgical site infection - a European perspective of incidence and economic burden. Int Wound J. 2004;1(4):247–73. https://doi.org/10.1111/j.1742-4801.2004.00067.x.
Article
PubMed
PubMed Central
Google Scholar
Leaper DJ, Edmiston CE Jr, Holy CE. Meta-analysis of the potential economic impact following introduction of absorbable antimicrobial sutures. Br J Surg. 2017;104(2):e134–e44. https://doi.org/10.1002/bjs.10443.
Article
CAS
PubMed
Google Scholar
Kirkland KB, Briggs JP, Trivette SL, Wilkinson WE, Sexton DJ. The impact of surgical-site infections in the 1990s: attributable mortality, excess length of hospitalization, and extra costs. Infect Control Hosp Epidemiol. 1999;20(11):725–30. https://doi.org/10.1086/501572.
Article
CAS
PubMed
Google Scholar
GlobalSurg Collaborative. Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study. Lancet Infect Dis. 2018;18(5):516-25. https://doi.org/10.1016/S1473-3099(18)30101-4.
Surgery NNIfHRGHRUoG. Prioritizing research for patients requiring surgery in low- and middle-income countries. Br J Surg. 2019;106(2):e113–e20. https://doi.org/10.1002/bjs.11037.
Article
Google Scholar
NIHR Global Health Research Unit on Global Surgery. Pragmatic multicentre factorial randomized controlled trial testing measures to reduce surgical site infection in low- and middle-income countries: study protocol of the FALCON trial. Colorectal Dis. 2021;23(1):298-306. https://doi.org/10.1111/codi.15354.
Forrester JA, Starr N, Negussie T, Schaps D, Adem M, Alemu S, Amenu D, Gebeyehu N, Habteyohannes T, Jiru F, Tesfaye A, Wayessa E, Chen R, Trickey A, Bitew S, Bekele A, Weiser TG. Clean Cut (adaptive, multimodal surgical infection prevention programme) for low-resource settings: a prospective quality improvement study. Br J Surg. 2020. https://doi.org/10.1002/bjs.11997.
NIHR-Global-Health-Research-Unit-on-Global-Surgery. Cheetah - sterile glove and clean instrument change at the time of wound closure to reduce surgical site infection (Cheetah) ClinicalTrials.gov. 2019. Available from: https://clinicaltrials.gov/ct2/show/NCT03980652.
Google Scholar
NIHR-Global-Health-Research-Unit-on-Global-Surgery. Perioperative respiratory care and outcomes for patients undergoing high risk abdominal surgery (PENGUIN) (NCT04256798) ClinicalTrials.gov. 2020. Available from: https://clinicaltrials.gov/ct2/show/NCT04256798.
Google Scholar
Meara JG, Hagander L, Leather AJM. Surgery and global health: a Lancet Commission. Lancet. 2014;383(9911):12–3. https://doi.org/10.1016/S0140-6736(13)62345-4.
Article
PubMed
Google Scholar
Shrime MG, Dare AJ, Alkire BC, O'Neill K, Meara JG. Catastrophic expenditure to pay for surgery worldwide: a modelling study. Lancet Glob Health. 2015;3(Suppl 2):S38–44. https://doi.org/10.1016/S2214-109X(15)70085-9.
Article
PubMed
PubMed Central
Google Scholar
Verguet S, Alkire BC, Bickler SW, Lauer JA, Uribe-Leitz T, Molina G, et al. Timing and cost of scaling up surgical services in low-income and middle-income countries from 2012 to 2030: a modelling study. Lancet Glob Health. 2015;3(Suppl 2):S28–37. https://doi.org/10.1016/S2214-109X(15)70086-0.
Article
PubMed
Google Scholar
COVIDSurg Collaborative. Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study. Lancet. 2020;396(10243):27-38. https://doi.org/10.1016/S0140-6736(20)31182-X.
Glasbey JC, Nepogodiev D, Simoes JFF, Omar O, Li E, Venn ML, Pgdme, Abou Chaar MK, Capizzi V, Chaudhry D, Desai A, Edwards JG, Evans JP, Fiore M, Videria JF, Ford SJ, Ganly I, Griffiths EA, Gujjuri RR, Kolias AG, Kaafarani HMA, Minaya-Bravo A, McKay SC, Mohan HM, Roberts KJ, San Miguel-Méndez C, Pockney P, Shaw R, Smart NJ, Stewart GD, Sundar Mrcog S, Vidya R, Bhangu AA; COVIDSurg Collaborative. Elective Cancer Surgery in COVID-19-Free Surgical Pathways During the SARS-CoV-2 Pandemic: An International, Multicenter, Comparative Cohort Study. J Clin Oncol. 2021;39(1):66-78. https://doi.org/10.1200/JCO.20.01933.
Nguhuni B, De Nardo P, Gentilotti E, Chaula Z, Damian C, Mencarini P, et al. Reliability and validity of using telephone calls for post-discharge surveillance of surgical site infection following caesarean section at a tertiary hospital in Tanzania. Antimicrob Resist Infect Control. 2017;6(1):43. https://doi.org/10.1186/s13756-017-0205-0.
Article
PubMed
PubMed Central
Google Scholar
Arie S. Can mobile phones transform healthcare in low and middle income countries? Bmj. 2015;350(apr22 20):h1975. https://doi.org/10.1136/bmj.h1975.
Article
PubMed
Google Scholar
Reeves BC, Andronis L, Blazeby JM, Blencowe NS, Calvert M, Coast J, et al. A mixed-methods feasibility and external pilot study to inform a large pragmatic randomised controlled trial of the effects of surgical wound dressing strategies on surgical site infections (Bluebelle Phase B): study protocol for a randomised controlled trial. Trials. 2017;18(1):401. https://doi.org/10.1186/s13063-017-2102-5.
Article
PubMed
PubMed Central
Google Scholar
Macefield R, Brookes S, Blazeby J, Avery K. Development of a ‘universal-reporter’ outcome measure (UROM) for patient and healthcare professional completion: a mixed methods study demonstrating a novel concept for optimal questionnaire design. BMJ Open. 2019;9(8):e029741. https://doi.org/10.1136/bmjopen-2019-029741.
Article
PubMed
PubMed Central
Google Scholar
Macefield RC, Reeves BC, Milne TK, Nicholson A, Blencowe NS, Calvert M, et al. Development of a single, practical measure of surgical site infection (SSI) for patient report or observer completion. J Infect Prev. 2017;18(4):170–9. https://doi.org/10.1177/1757177416689724.
Article
PubMed
PubMed Central
Google Scholar
Bluebelle-Study-Group. Validation of the Bluebelle Wound Healing Questionnaire for assessment of surgical-site infection in closed primary wounds after hospital discharge. Br J Surg. 2019;106(3):226–35. https://doi.org/10.1002/bjs.11008.
Article
Google Scholar
Elliott D, Bluebelle-Study-Group. Developing outcome measures assessing wound management and patient experience: a mixed methods study. BMJ Open. 2017;7(11):e016155.
Article
PubMed
PubMed Central
Google Scholar
Totty JP, Harwood AE, Wallace T, Smith GE, Chetter IC. Use of photograph-based telemedicine in postoperative wound assessment to diagnose or exclude surgical site infection. J Wound Care. 2018;27(3):128–35. https://doi.org/10.12968/jowc.2018.27.3.128.
Article
PubMed
Google Scholar
Treweek S, Bevan S, Bower P, Campbell M, Christie J, Clarke M, et al. Trial Forge guidance 1: what is a study within a trial (SWAT)? Trials. 2018;19:139 England.
Article
PubMed
PubMed Central
Google Scholar
NIHR-Global-Health-Research-Unit-on-Global-Surgery. Cheetah - sterile glove and clean instrument change at the time of wound closure to reduce surgical site infection (Cheetah) (NCT03980652) ClinicalTrials.gov. 2019. Available from: https://clinicaltrials.gov/ct2/show/NCT03980652.
Google Scholar
Reynolds J, Naiga S, Taaka L, Chandler C. Quality assurance of qualitative research: a suggested approach for assessing and strengthening qualitative research within global health trials The Global Health Network. 2019. Available from: https://globalhealthtrials.tghn.org/articles/quality-assurance-qualitative-research-suggested-approach-assessing-and-strengthening-qualitative-research-within-global-health/.
Google Scholar
Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–57. https://doi.org/10.1093/intqhc/mzm042.
Article
PubMed
Google Scholar
Gaglio B, Henton M, Barbeau A, Evans E, Hickam D, Newhouse R, et al. Methodological standards for qualitative and mixed methods patient centered outcomes research. Bmj. 2020;371:m4435.
Article
PubMed
PubMed Central
Google Scholar
Cohen JF, Korevaar DA, Altman DG, Bruns DE, Gatsonis CA, Hooft L, et al. STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration. BMJ Open. 2016;6(11):e012799. https://doi.org/10.1136/bmjopen-2016-012799.
Article
PubMed
PubMed Central
Google Scholar
Hagell P, Hedin PJ, Meads DM, Nyberg L, McKenna SP. Effects of method of translation of patient-reported health outcome questionnaires: a randomized study of the translation of the Rheumatoid Arthritis Quality of Life (RAQoL) Instrument for Sweden. Value Health. 2010;13(4):424–30. https://doi.org/10.1111/j.1524-4733.2009.00677.x.
Article
PubMed
Google Scholar
Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976). 2000;25(24):3186–91. https://doi.org/10.1097/00007632-200012150-00014.
Article
CAS
Google Scholar
Wild D, Grove A, Martin M, Eremenco S, McElroy S, Verjee-Lorenz A, et al. Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: report of the ISPOR Task Force for Translation and Cultural Adaptation. Value Health. 2005;8(2):94–104. https://doi.org/10.1111/j.1524-4733.2005.04054.x.
Article
PubMed
Google Scholar
Baena I, Padilla J. Cognitive interviewing in mixed research. Cognitive interviewing methodology. London: Wiley; 2014. p. 133–52.
Google Scholar
Swaine-Verdier A, Doward LC, Hagell P, Thorsen H, McKenna SP. Adapting quality of life instruments. Value Health. 2004;7(Suppl 1):S27–30. https://doi.org/10.1111/j.1524-4733.2004.7s107.x.
Article
PubMed
Google Scholar
Tennant A, Penta M, Tesio L, Grimby G, Thonnard JL, Slade A, et al. Assessing and adjusting for cross-cultural validity of impairment and activity limitation scales through differential item functioning within the framework of the Rasch model: the PRO-ESOR project. Med Care. 2004;42(1 Suppl):I37–48. https://doi.org/10.1097/01.mlr.0000103529.63132.77.
Article
PubMed
Google Scholar
Andrich D. Rating scales and Rasch measurement. Expert Rev Pharmacoecon Outcomes Res. 2011;11(5):571–85. https://doi.org/10.1586/erp.11.59.
Article
PubMed
Google Scholar
Tennant A, Conaghan PG. The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis Rheum. 2007;57(8):1358–62. https://doi.org/10.1002/art.23108.
Article
PubMed
Google Scholar
Linacre M. Sample size and item calibration(or Person measure) stability: Rasch measurement transaction; rasch.org. 1994. Available from: https://www.rasch.org/rmt/rmt74m.htm.
Google Scholar
Reeve BB, Willis G, Shariff-Marco SN, Breen N, Williams DR, Gee GC, et al. Comparing cognitive interviewing and psychometric methods to evaluate a racial/ethnic discrimination scale. Field Methods. 2011;23(4):397–419. https://doi.org/10.1177/1525822X11416564.
Article
PubMed
PubMed Central
Google Scholar
Benítez I, Padilla J. Analysis of nonequivalent assessments across different linguistic groups using a mixed methods approach: understanding the causes of differential item functioning by cognitive interviewing. J Mixed Methods Res. 2014;8(1):52–68. https://doi.org/10.1177/1558689813488245.
Article
Google Scholar
Latcheva R. Cognitive interviewing and factor-analytic techniques: a mixed method approach to validity of survey items measuring national identity. Qual Quant. 2011;45(6):1175–99. https://doi.org/10.1007/s11135-009-9285-0.
Article
Google Scholar
Noble H, Heale R. Triangulation in research, with examples. Evid Based Nurs. 2019;22:67–8 England.
Article
PubMed
Google Scholar
Staniszewska S, Brett J, Simera I, Seers K, Mockford C, Goodlad S, et al. GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research. Bmj. 2017;358:j3453.
Article
CAS
PubMed
PubMed Central
Google Scholar
GlobalSurg Collaborative and National Institute for Health Research Global Health Research Unit on Global Surgery. Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries. Lancet. 2021;397(10272):387-397. https://doi.org/10.1016/S0140-6736(21)00001-5.
GlobalSurg-Collaborative. Mortality of emergency abdominal surgery in high-, middle- and low-income countries. Br J Surg 2016;103(8):971-988, DOI: https://doi.org/10.1002/bjs.10151.
National Research Collaborative & Association of Surgeons in Training Collaborative Consensus Group. Recognising contributions to work in research collaboratives: Guidelines for standardising reporting of authorship in collaborative research. Int J Surg. 2018;52:355-60. https://doi.org/10.1016/j.ijsu.2017.12.019.
Sellars H, Ramsay G, Sunny A, Gunner CK, Oliphant R, Watson AJM. Video consultation for new colorectal patients. Color Dis. 2020;22(9):1015–21. https://doi.org/10.1111/codi.15239.
Article
CAS
Google Scholar
The Lancet Gastroenterology H. The potential of telemedicine in digestive diseases. Lancet Gastroenterol Hepatol. 2019;4(3):185.
Article
Google Scholar
Dorsey ER, Topol EJ. Telemedicine 2020 and the next decade. Lancet. 2020;395(10227):859. https://doi.org/10.1016/S0140-6736(20)30424-4.
Article
PubMed
Google Scholar
Elhadi M, Elhadi A, Bouhuwaish A, Bin Alshiteewi F, Elmabrouk A, Alsuyihili A, et al. Telemedicine awareness, knowledge, attitude, and skills of health care workers in a low-resource country during the COVID-19 pandemic: cross-sectional study. J Med Internet Res. 2021;23(2):e20812. https://doi.org/10.2196/20812.
Article
PubMed
PubMed Central
Google Scholar
Moreau P, Ismael S, Masadeh H, Katib EA, Viaud L, Nordon C, et al. 3D technology and telemedicine in humanitarian settings. Lancet Digit Health. 2020;2(3):e108–e10. https://doi.org/10.1016/S2589-7500(20)30020-0.
Article
PubMed
Google Scholar
Augestad KM, Sneve AM, Lindsetmo RO. Telemedicine in postoperative follow-up of STOMa PAtients: a randomized clinical trial (the STOMPA trial). Br J Surg. 2020;107(5):509–18. https://doi.org/10.1002/bjs.11491.
Article
CAS
PubMed
Google Scholar
Raza A, Raza I, Drake TM, Sadar AB, Adil M, Baluch F, et al. The efficiency, accuracy and acceptability of smartphone-delivered data collection in a low-resource setting - a prospective study. Int J Surg. 2017;44:252–4. https://doi.org/10.1016/j.ijsu.2017.06.081.
Article
PubMed
Google Scholar
Adepoju P. Africa turns to telemedicine to close mental health gap. Lancet Digit Health. 2020;2:e571–e2.
Article
PubMed
PubMed Central
Google Scholar
Woodfield J, Deo P, Davidson A, Chen TY, van Rij A. Patient reporting of complications after surgery: what impact does documenting postoperative problems from the perspective of the patient using telephone interview and postal questionnaires have on the identification of complications after surgery? BMJ Open. 2019;9(7):e028561. https://doi.org/10.1136/bmjopen-2018-028561.
Article
PubMed
PubMed Central
Google Scholar
Sandberg CEJ, Knight SR, Qureshi AU, Pathak S. Using telemedicine to diagnose surgical site infections in low- and middle-income countries: systematic review. JMIR Mhealth Uhealth. 2019;7(8):e13309. https://doi.org/10.2196/13309.
Article
PubMed
PubMed Central
Google Scholar
Starr N, Gebeyehu N, Tesfaye A, Forrester JA, Bekele A, Bitew S, et al. Value and feasibility of telephone follow-up in Ethiopian surgical patients. Surg Infect. 2020;21(6):533–9. https://doi.org/10.1089/sur.2020.054.
Article
Google Scholar
Sonderman KA, Nkurunziza T, Kateera F, Gruendl M, Koch R, Gaju E, et al. Using mobile health technology and community health workers to identify and refer caesarean-related surgical site infections in rural Rwanda: a randomised controlled trial protocol. BMJ Open. 2018;8(5):e022214. https://doi.org/10.1136/bmjopen-2018-022214.
Article
PubMed
PubMed Central
Google Scholar
Bastawrous A, Armstrong MJ. Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature. J R Soc Med. 2013;106(4):130-42. https://doi.org/10.1177/0141076812472620.
Shrime M, Dare A, Alkire B, Meara J. Catastrophic expenditure to pay for surgery: a global estimate. Lancet Glob Health. 2016;3:38–44.
Article
Google Scholar
Meara JG, Leather AJ, Hagander L, Alkire BC, Alonso N, Ameh EA, et al. Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development. Lancet. 2015;386(9993):569–624. https://doi.org/10.1016/S0140-6736(15)60160-X.
Article
PubMed
Google Scholar
National Institute for Health Research Global Research Health Unit on Global Surgery. Delphi prioritization and development of global surgery guidelines for the prevention of surgical-site infection. Br J Surg. 2020;107(8):970-7. https://doi.org/10.1002/bjs.11530.
Calvert M, Kyte D, Price G, Valderas JM, Hjollund NH. Maximising the impact of patient reported outcome assessment for patients and society. Bmj. 2019;364:k5267.
Article
PubMed
Google Scholar
Crocker JC, Ricci-Cabello I, Parker A, Hirst JA, Chant A, Petit-Zeman S, et al. Impact of patient and public involvement on enrolment and retention in clinical trials: systematic review and meta-analysis. Bmj. 2018;363:k4738.
Article
PubMed
PubMed Central
Google Scholar
Kearney A, Williamson P, Young B, Bagley H, Gamble C, Denegri S, et al. Priorities for methodological research on patient and public involvement in clinical trials: a modified Delphi process. Health Expect. 2017;20(6):1401–10. https://doi.org/10.1111/hex.12583.
Article
PubMed
PubMed Central
Google Scholar
Cook N, Siddiqi N, Twiddy M, Kenyon R. Patient and public involvement in health research in low and middle-income countries: a systematic review. BMJ Open. 2019;9(5):e026514. https://doi.org/10.1136/bmjopen-2018-026514.
Article
PubMed
PubMed Central
Google Scholar
Hobart JC, Cano SJ, Zajicek JP, Thompson AJ. Rating scales as outcome measures for clinical trials in neurology: problems, solutions, and recommendations. Lancet Neurol. 2007;6(12):1094–105. https://doi.org/10.1016/S1474-4422(07)70290-9.
Article
PubMed
Google Scholar
Korevaar DA, Gopalakrishna G, Cohen JF, Bossuyt PM. Targeted test evaluation: a framework for designing diagnostic accuracy studies with clear study hypotheses. Diagn Progn Res. 2019;3(1):22. https://doi.org/10.1186/s41512-019-0069-2.
Article
PubMed
PubMed Central
Google Scholar
Reeves N, Cuff S, Boyce K, Harries R, Roberts C, Harrison W, et al. Diagnosis of colorectal and emergency surgical site infections in the era of enhanced recovery: an all-Wales prospective study. Color Dis. 2021;23(5):1239–47. https://doi.org/10.1111/codi.15569.
Article
Google Scholar