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Study Design Article

Methodological considerations in establishing and maintaining longitudinal health workforce studies: Lessons learned from the WiSDOM cohort in South Africa

, ORCID Icon, ORCID Icon & ORCID Icon
Article: 1996688 | Received 21 Jun 2021, Accepted 18 Oct 2021, Published online: 20 Dec 2021

References

  • Doll R. Cohort studies: history of the method I. Prospective cohort studies. Soz Praventivmed. 2001;46:75–13.
  • Caruana EJ, Roman M, Hernández-Sánchez J, et al. Longitudinal studies. J Thorac Dis. 2015;7:E537–E540.
  • Willett WC, Colditz GA. Approaches for conducting large cohort studies. Epidemiol Rev. 1998;20:91–99.
  • Gladman DD, Chandran V. Observational cohort studies: lessons learnt from the University of Toronto Psoriatic Arthritis Program. Rheumatology. 2011;50:25–31.
  • Stock NM, Humphries K, Pourcain BS, et al. Opportunities and challenges in establishing a cohort study: an example from cleft lip/palate research in the UK. Cleft Palate Craniofac J. 2016;53:317–325.
  • Carmona S, Bor J, Nattey C, et al. Persistent high burden of advanced HIV disease among patients seeking care in South Africa’s National HIV Program: data From a Nationwide Laboratory Cohort. Clin Infect Dis. 2018;66:S111–S117.
  • MacPherson P, Dimairo M, Bandason T, et al. Risk factors for mortality in smear-negative tuberculosis suspects: a cohort study in Harare, Zimbabwe. Int J Tuberc Lung Dis. 2011;15:1390–1396.
  • Kim O, Ahn Y, Lee H-Y, et al. The Korea nurses’ health study: a prospective cohort study. J Womens Health. 2017;26:892–899.
  • Panozzo L, Battegay M, Friedl A, et al. The Swiss Cohort Study. High-risk behaviour and fertility desires among heterosexual HIV positive patients with a sero-discordant partner — two challenging issues. Swiss Med Wkly. 2002;132:124.
  • Pijpe A, Slottje P, Van Pelt C, et al. The Nightingale study: rationale, study design and baseline characteristics of a prospective cohort study on shift work and breast cancer risk among nurses. BMC Cancer. 2014;14:47.
  • Cotter RB, Burke JD, Loeber R, et al. Innovative retention methods in longitudinal research: a case study of the developmental trends study. J Child Fam Stud. 2002;11:485–498.
  • Toledano MB, Smith RB, Brook JP, et al. How to establish and follow up a large prospective cohort study in the 21st century-lessons from UK COSMOS. PLoS One. 2015;10:e0131521.
  • Charlton BM, Rich-Edwards JW, Colditz GA, et al. Oral contraceptive use and mortality after 36 years of follow-up in the Nurses’ Health Study: prospective cohort study. Br Med J. 2014;349:g6356.
  • Seubsman S-A, Kelly M, Sleigh A, et al. Methods used for successful follow-up in a large scale national cohort study in Thailand. BMC Res Notes. 2011 May 27;4:166.
  • Dalal S, Holmes MD, Laurence C, et al. Feasibility of a large cohort study in sub-Saharan Africa assessed through a four-country study. Glob Health Action. 2015 Dec 01;8:27422.
  • Allotey P, Reidpath DD, Devarajan N, et al. Cohorts and community: a case study of community engagement in the establishment of a health and demographic surveillance site in Malaysia. Glob Health Action. 2014 Dec 01;7:23176.
  • Tollman SM, Kahn K, Sartorius B, et al. Implications of mortality transition for primary health care in rural South Africa: a population-based surveillance study. Lancet. 2008;372:893–901.
  • Streatfield PK, Khan WA, Bhuiya A, et al. Cause-specific mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites. Glob Health Action. 2014;7:25362.
  • WHO. World Health Report 2006: working together for health. Geneva: World Health Organization (WHO); 2006.
  • Alam K, Oliveras E. Retention of female volunteer community health workers in Dhaka urban slums: a prospective cohort study. Hum Resour Health. 2014 May 20;12:29.
  • Ditlopo P, Blaauw D, Lagarde M. A longitudinal study of the job choices of a cohort of South African nurses to inform human resource policy interventions: working paper #10. Johannesburg: Centre for Health Policy, School of Public Health, University of the Witwatersrand; 2016.
  • Erasmus E, Blaauw D. Understanding nursing students’ attitudes toward working in rural areas in South Africa: the results of a cohort study. Policy Brief. In: CREHS LSoHaTM, editor. London 2011.
  • Joyce CM, Scott A, and Jeon S-H, et al. The ‘Medicine in Australia: balancing Employment and Life (MABEL)’ longitudinal survey – protocol and baseline data for a prospective cohort study of Australian doctors’ workforce participation. BMC Health Serv Res. 2010;10:50. :
  • Mandeville KL, Ulaya G, Lagarde M, et al. Early career retention of Malawian medical graduates: a retrospective cohort study. Trop Med Int Health. 2015 Oct 20;20:106–114.
  • Murrells T, Robinson S, Griffiths P. Is satisfaction a direct predictor of nursing turnover? Modelling the relationship between satisfaction, expressed intention and behaviour in a longitudinal cohort study. Hum Resour Health. 2008 Oct 31;6:22.
  • Pagaiya N, Kongkam L, Sriratana S. Rural retention of doctors graduating from the rural medical education project to increase rural doctors in Thailand: a cohort study. Hum Resour Health. 2015 Mar 01;13:10.
  • Sawaengdee K, Tangcharoensathien V, and Theerawit T, et al. Thai nurse cohort study: cohort profiles and key findings [journal article]. BMC Nurs. 2016 Dec;15 1–12 (1) . .
  • Schluter PJ, Turner C, Huntington AD, et al. Work/life balance and health: the Nurses and Midwives e-cohort study. Int Nurs Rev. 2011;58:28–36.
  • Sen Gupta T, Woolley T, Murray R, et al. Positive impacts on rural and regional workforce from the first seven cohorts of James Cook University medical graduates. Rural Remote Health. 2014;14:2657.
  • Serra D, Serneels P, and Lindelow M. Discovering the real world: how health workers’ early work experience affects their career preferences-findings from the second wave of a cohort study of young Ethiopian doctors and nurses. Washington DC:: The World Bank; 2008.
  • Turner C, Bain C, Schluter PJ, et al. Cohort profile: the nurses and midwives e-cohort study—A novel electronic longitudinal study. Int J Epidemiol. 2009;38:53–60.
  • Rispel LC, Ditlopo P, White JA, et al. Socio-economic characteristics and career intentions of the WiSDOM health professional cohort in South Africa. PloS One. 2019;14:e0223739.
  • Gerber JP, Landau LI. Driving change in rural workforce planning: the medical schools outcomes database. Aust J Prim Health. 2010;16:36–39.
  • Li J, Fu H, Hu Y, et al. Psychosocial work environment and intention to leave the nursing profession: results from the longitudinal Chinese NEXT study. Scand J Public Health. 2010;38:69–80.
  • WHO. Handbook on monitoring and evaluation of human resources for health with special applications for low- and middle-income countries. Geneva: World Health Organization (WHO); 2009.
  • Buck N, Ermisch J, and Jenkins SP. Choosing a longitudinal survey design: the issues. ESRC Research Centre on Micro-Social Change, University of Essex, Colchester, UK; 1995.
  • High-Level Commission on Health Employment and Economic Growth. Working for health and growth: investing in the health workforce. Report of the High-Level Commission on Health Employment and Economic Growth. Geneva: World Health Organization; 2016.
  • Soucat A, Scheffler R, Ghebreyesus TA, editors. The labor market for health workers in Africa: a new look at the crisis. Washington DC: The World Bank; 2013.
  • Bardoel EA, Russell G, Advocat J, et al. Turnover among Australian general practitioners: a longitudinal gender analysis. Hum Resour Health. 2020 Dec 09;18:99.
  • Joyce CM, Schurer S, Scott A, et al. Australian doctors’ satisfaction with their work: results from the MABEL longitudinal survey of doctors. Med J Aust. 2011;194:30–33.
  • Joyce CM, Wang WC, Cheng TC. Changes in doctors’ working hours: a longitudinal analysis. Med Care Res Rev. 2015;72:605–621.
  • WHO. Draft thirteenth general programme of work, 2019–2023. Report by the Director-General. World Health Assembly Seventy-first World Health Assembly, 71/4, Provisional agenda item 11.1. Geneva: World Health Organization; 2018.
  • Hernando-Rodriguez JC, Serra L, Benavides FG, et al. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014. BMC Public Health. 2020 Aug 27;20:1306.
  • Selamu M, Hanlon C, Medhin G, et al. Burnout among primary healthcare workers during implementation of integrated mental healthcare in rural Ethiopia: a cohort study. Hum Resour Health. 2019 Jul 18;17:58.
  • WHO. World Health Statistics 2019: monitoring health for the SDGs, Sustainable Development Goals. Geneva: World Health Organization; 2019.
  • National Department of Health. 2030 Human Resources for Health Strategy: investing in the Health Workforce for Universal Health Coverage. Pretoria; National Department of Health (NDoH); 2020.
  • Rispel LC, Blaauw D, Ditlopo P, et al. Human resources for health and universal health coverage: progress, complexities and contestations. In: Rispel LC, Padarath A, editors. South African health review 2018. Durban: Health Systems Trust; 2018. p. 13–22.
  • Edwards N, Plotnikoff RC. Mobilizing an underused resource: cohort studies for population health intervention research. Int J Epidemiol. 2018;47:1730–1733.
  • Cheng TC, Trivedi PK. Attrition bias in panel data: a sheep in wolf’s clothing? A case study based on the mabel survey. Health Econ. 2015;24:1101–1117.
  • Nohr EA, Liew Z. How to investigate and adjust for selection bias in cohort studies. Acta Obstet Gynecol Scand. 2018;97:407–416.
  • Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–381.
  • Resnik DB, Shamoo AE. The Singapore statement on research integrity. Account Res. 2011 Mar 09;18:71–75.
  • Rudman A, Omne-Pontén M, Wallin L, et al. Monitoring the newly qualified nurses in Sweden: the Longitudinal Analysis of Nursing Education (LANE) study. Hum Resour Health. 2010;8:10.
  • WHO. Global strategy on human resources for health: workforce 2030. Geneva: World Health Organization (WHO); 2016.