Skip to main content

Advertisement

Log in

Measuring Adolescent HIV Self-management: An Instrument Development Study

  • Original Paper
  • Published:
AIDS and Behavior Aims and scope Submit manuscript

Abstract

Adolescent HIV self-management is a complex phenomenon that has been poorly researched. A mixed-method explorative sequential research design was used to develop an instrument to measure adolescent HIV self-management in the context of the Western Cape, South Africa. The development and validation was undertaken in four phases: (i) individual interviews and focus groups with adolescents aged 13 to 18, their caregivers and healthcare workers (n = 56); (ii) item identification; (iii) item refinement through cognitive interviewing (n = 11), expert review (n = 11) and pilot testing (n = 33); and (iv) psychometric evaluation (n = 385). The final scale consists of five components with 35 items encompassing the construct of adolescent HIV self-management. The developed scale had acceptable reliability (0.84) and stability (0.76). Factor analysis indicated a good model-fit that support the structural validity (RMSEA = 0.052, p = 0.24; RMR = 0.065; CFI = 0.9). Higher self-management was associated with better HIV-related and general health outcomes, which supports the criterion- and convergent validity of the instrument.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. UNICEF. For every child end AIDS. Seventh stocktaking report. 2016. https://data.unicef.org/wp-content/uploads/2016/12/HIV-and-AIDS-2016-Seventh-Stocktaking-Report.pdf. Accessed 16 Mar 2017.

  2. UNICEF. Children and AIDS: statistical update. 2017. https://www.unicef.org/health/files/Children_and_AIDS_2017.pdf. Accessed 26 Apr 2018.

  3. Adejumo OA, Malee KM, Ryscavage P, Hunter SJ, Taiwo BO. Contemporary issues on the epidemiology and antiretroviral adherence of HIV-infected adolescents in sub-Saharan Africa: a narrative review. J Int AIDS Soc. 2015;18(20049):1–19. https://doi.org/10.7448/IAS.18.1.20049.

    Article  CAS  Google Scholar 

  4. De Wet N, Oluwaseyia S, Odimegwua C. Youth mortality due to HIV/AIDS in South Africa, 2001–2009: an analysis of the levels of mortality using life table techniques. Afr J AIDS Res. 2014;13(1):13–20. https://doi.org/10.2989/16085906.2014.886605.

    Article  PubMed  Google Scholar 

  5. Cluver L, Meinck F, Toska E, Orkin FM, Hodes R, Sherr L. Multi-type violence exposures and adolescent antiretroviral non-adherence in South Africa. AIDS. 2018. https://doi.org/10.1097/qad.0000000000001795.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Agwu AL, Fairlie L. Antiretroviral treatment, management challenges and outcomes in perinatally HIV-infected adolescents. J Int AIDS Soc. 2013;16(1):18579. https://doi.org/10.7448/IAS.16.1.18579.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Lowenthal ED, Bakeera-Kitaka S, Marukutira T, Chapman J, Goldrath K, Ferrand R. Perinatally acquired HIV infection in adolescents from Sub-Saharan Africa: a review of emerging challenges. Botswana-UPenn Scholarly Publications. 2014. http://repository.upenn.edu/botswana_schol/15. Accessed 30 May 2017.

  8. The Collaborative Initiative for Paediatric HIV Education and Research (CIPHER) Global Cohort Collaboration, Slogrove AL, Schomaker M, Davies MA, Williams P, Balkan S, et al. The epidemiology of adolescents living with perinatally acquired HIV: A cross-region global cohort analysis. PLoS Med. 2018;15(3):e1002514. https://doi.org/10.1371/journal.pmed.1002514.

    Article  Google Scholar 

  9. Mofenson LM, Cotton MF. The challenges of success: adolescents with perinatal HIV infection. J Int AIDS Soc. 2013;16(1):e18650. https://doi.org/10.7448/IAS.16.1.18650.

    Article  Google Scholar 

  10. Sawin KJ, Bellin MH, Roux G, Buran CF, Brei TJ. The experience of self-management in adolescent women with Spina Bifida. Rehabil Nurs. 2009;34(1):26–38. https://doi.org/10.1002/j.2048-7940.2009.tb00245.x.

    Article  PubMed  Google Scholar 

  11. Modi AC, Pai AL, Hommel KA, Hood KK, Cortina S, Hilliard ME, Guilfoyle SM, Gray WN, Drotar D. Pediatric self-management: a framework for research, practice and policy. Pediatrics. 2012;129(2):473–85. https://doi.org/10.1542/peds.2011-1635.

    Article  Google Scholar 

  12. Millard T, Elliott J, Girdler S. Self-management education programs for people living with HIV/AIDS: a systematic review. AIDS Patient Care STDs. 2013;27(2):103–13. https://doi.org/10.1089/apc.2012.0294.

    Article  PubMed  Google Scholar 

  13. Ryan P, Sawin KJ. The individual and family self-management theory: background and perspectives on context, process and outcomes. Nurs Outlook. 2009;57(4):217–25. https://doi.org/10.1016/j.outlook.2008.10.004.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nachega JB, Hislop M, Nguyen H, Dowdy DW, Chaisson RE, Regensberg L, Cotton M, Maartens G. Antiretroviral therapy adherence, virologic and immunologic outcomes in adolescents compared with adults in southern Africa. J Acquir Immune Defic Syndr. 2009;51(1):65–71. https://doi.org/10.1097/QAI.0b013e318199072e.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Sohn AH, Hazra R. The changing epidemiology of the global paediatric HIV epidemic: keeping track of perinatally HIV-infected adolescents. J Int AIDS Soc. 2013;16(1):18555. https://doi.org/10.7448/IAS.16.1.18555.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Van Staa AL. On your own feet: Adolescents with chronic conditions and their preferences and competencies for care. Dissertation Erasmus University Rotterdam, the Netherlands. Hogeschool Rotterdam, Rotterdam. 2012.

  17. Sattoe JNT, Bal MI, Roelofs PDDM, Bal R, Miedema HS, van Staa A. Self-management interventions for young people with chronic conditions: a systematic overview. Patient Educ Couns. 2015;98:704–15. https://doi.org/10.1016/j.pec.2015.03.004.

    Article  PubMed  Google Scholar 

  18. Aantjes CJ, Ramerman L, Bunders JFG. A systematic review of the literature on self-management interventions and discussion of their potential relevance for people living with HIV in sub-Saharan Africa. Patient Educ Couns. 2014;95:185–200. https://doi.org/10.1016/j.pec.2014.01.007.

    Article  PubMed  Google Scholar 

  19. Wallston KA, Osborn CY, Wagner LJ, Hilker KA. The perceived medical condition self-management scale applied to persons with HIV/AIDS. J Health Psychol. 2011;16:109–15. https://doi.org/10.1177/1359105310367832.

    Article  PubMed  Google Scholar 

  20. Webel AR, Asher A, Cucu Y, Okonsky JG, Kaihur A, Rose CD, Hanson J, Salata RA. Measuring HIV self-management in women living with HIV/AIDS: a psychometric evaluation study of the HIV self-management scale. J Acquir Immune Defic Syndr. 2012;60(3):72–81. https://doi.org/10.1097/QAI.0b013e318256623d.

    Article  Google Scholar 

  21. Schilling LS, Dixon JK, Knafl KA, Lynn MA, Murphy K, Dumser S, Gray M. A new self-report measure of self-management of type 1 diabetes for adolescents. Nurs Res. 2009;58(4):228–36. https://doi.org/10.1097/NNR.0b013e3181ac142a.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Teddlie C, Tashakkori A. Foundations of mixed methods research. Thousand Oaks: SAGE; 2009.

    Google Scholar 

  23. Creswell J, Klassen AC, Plano Clark VL, Smith KC. Best Practices for Mixed Methods Research in the Health Sciences. Office of Behavioral and Social Sciences Research (OBSSR). 2011. https://www2.jabsom.hawaii.edu/native/docs/tsudocs/Best_Practices_for_Mixed_Methods_Research_Aug2011.pdf. Accessed 24 Apr 2017.

  24. Foxcroft C, Roodt G. An introduction to psychological assessment in the South African context. 3rd ed. Cape Town: Oxford University Press; 2009.

    Google Scholar 

  25. DeVellis RF. Scale development: theory and applications. 3rd ed. London: Sage publications; 2012.

    Google Scholar 

  26. Onwuegbuzie AJ, Bustamante RM, Nelson JA. Mixed research as a tool for developing quantitative instruments. J Mixed Methods Res. 2010;4(1):56–78. https://doi.org/10.1177/1558689809355805.

    Article  Google Scholar 

  27. Crowley T. The development of an instrument to measure adolescent HIV self-management in the context of the Western Cape, South Africa. Dissertation, Stellenbosch University; 2018. http://scholar.sun.ac.za/handle/10019.1/103521. Accessed 24 Apr 2018.

  28. Patient-Reported Outcome Measurement Information System (PROMIS). Instrument development and validation scientific standards. Version 2.0. National Institutes of Health. 2013. http://www.nihpromis.org/Documents/PROMISStandards_Vers2.0_Final.pdf?AspxAutoDetectCookieSupport=1. Accessed 17 Mar 2016.

  29. Polit DF, Beck CT. Nursing research: generating and assessing evidence for nursing practice. 10th ed. London: Wolters Kluwer, Lippincott Williams & Wilkins; 2017.

    Google Scholar 

  30. Chesney MA, Ickovics JR, Chambers DB, Gifford AL, Neidig J, Zwickl B, Wu AW. Self-reported adherence to antiretroviral medications among participants in HIV clinical trials: the AACTG adherence instrument. Patient Care Committee & Adherence Working Group of the Outcomes Committee of the Adult AIDS Clinical Trials Group (AACTG). AIDS Care. 2000;12(3):255–66. https://doi.org/10.1080/09540120050042891.

    Article  CAS  PubMed  Google Scholar 

  31. Corless IB, Voss J, Guarino AJ, Wantland D, Holzemer W, Mamilton MJ, Sefcik EF, Willar S, Kirksey KM, Portillo C, Mendez MR, Rosa ME, Nicholas PK, Human S. The impact of stressful life events, symptom status, and adherence concerns on quality of life in people living with HIV. J Assoc Nurs AIDS Care. 2013;24(6):478–90. https://doi.org/10.1016/j.jana.2012.11.005.

    Article  Google Scholar 

  32. Youth in Mind. Scoring the strengths & difficulties questionnaire for age 4–17 or 18 + . 2016. http://www.sdqinfo.com/py/sdqinfo/c0.py. Accessed 1 Sept 2017.

  33. Wiklander M, Rydström LL, Ygge BM, Navér L, Wettergren L, Eriksson LE. Psychometric properties of a short version of the HIV stigma scale, adapted for children with HIV infection. Health Qual Life Outcomes. 2013;11:195. https://doi.org/10.1186/1477-7525-11-195.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Johnson MO, Neilands TB, Dilworth S, Morin SF, Remien R, Chesney MA. The role of self-efficacy in HIV treatment adherence: validation of the HIV treatment adherence self-efficacy scale (HIV-ASES). J Behav Med. 2007;30(5):359–70. https://doi.org/10.1007/s10865-007-9118-3.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Liebenberg L, Ungar M, LeBlanc JC. The CYRM-12: a brief measure of resilience. Can J Public Health. 2013;104(2):131–5.

    Article  Google Scholar 

  36. Chaiyachati K, Hirschhorn LR, Tanser F, Newell ML, Barnighausen T. Validating five questions of antiretroviral nonadherence in a public-sector treatment program in rural South Africa. AIDS Patient Care STDs. 2011;25(3):163–70. https://doi.org/10.1089/apc.2010.0257.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Usitalo A, Leiste E, Tassiopoulos K, Allison S, Malee K, Paul ME, Smith R, Van Dyke RB, Seage GR, Mellins CA. Relationship between viral load and self-report measures of medication adherence among youth with perinatal HIV infection. AIDS Care. 2012;26(1):107–15. https://doi.org/10.1080/09540121.2013.802280.

    Article  Google Scholar 

  38. Human Sciences Research Council. Third South African national HIV, behaviour and health survey. 2008. http://www.hsrc.ac/za. Accessed 1 Sept 2017.

  39. Ravens-Sieberer U, Herdman M, Devine J, Otto C, Bullinger M, Rose M, Klasen F. The European KIDSCREEN approach to measure quality of life and well-being in children: development, current application, and future advances. Qual Life Res. 2013;23(3):791–803. https://doi.org/10.1007/s11136-013-0428-3.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Corp IBM. IBM SPSS Statistics for Windows, Version 24.0. [Computer software]. Armonk: IBM Corp; 2016.

    Google Scholar 

  41. Scientific Software International. Lisrel 9.0. [Computer software]. 2017.

  42. Pallant J. SPSS survival manual. 6th ed. Berkshire: McGraw-Hill Education; 2016.

    Google Scholar 

  43. Watkins MW. MonteCarlo PCA for parallel analysis. [Computer software]. State College: Ed & Psych Associates; 2000.

  44. Schmitt TA. Current methodological considerations in exploratory and confirmatory factor analysis. J Psychoeduc Assess. 2011;29(4):304–21. https://doi.org/10.1177/0734282911406653.

    Article  Google Scholar 

  45. Sawin K. Definition, frameworks, and theoretical issues in self—management. J Pediatr Rehabil Med. 2017;10:169–76. https://doi.org/10.3233/PRM-170461.

    Article  Google Scholar 

  46. Schulman-Green D, Jaser S, Martin F, Alonzo A, Grey M, McCorkle R, Redeker NS, Reynolds N, Whittemore R. Processes of self-management in chronic illness. J Nurs Scholarsh. 2012;44(2):136–44. https://doi.org/10.1111/j.1547-5069.2012.01444.x.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Cluver LD, Hodes RJ, Toska E, Kidia KK, Orkin FM, Sherr L, Meinck F. HIV is like a tsotsi ARVs are your guns’: associations between HIV-disclosure and adherence to antiretroviral treatment among adolescents in South Africa. AIDS. 2015;29(Suppl 1):S57–65. https://doi.org/10.1097/qad.0000000000000695.

    Article  PubMed  Google Scholar 

  48. Theron LC, Theron AMC. A critical review of studies of South African youth resilience, 1990–2008. S Afr J Sci. 2010;106(7/8):1–8. https://doi.org/10.4102/sajs.v106i7/8.252.

    Article  Google Scholar 

  49. Mburu G, Hodgson I, Kalibala S, Haamujompa C, Cataldo F, Lowenthal ED, Ross D. Adolescent HIV disclosure in Zambia: barriers, facilitators and outcomes. J Int AIDS Soc. 2014;17:18866. https://doi.org/10.7448/IAS.17.1.18866.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Cox ED, Fritz KA, Hansen KW, Brown RL, Rajamanickam V, Wiles KE, Fate BH, Young HN, Moren MA. Development and validation of PRISM: a survey tool to identify diabetes self-management barriers. Diabetes Res Clin Pract. 2014;104:126–35. https://doi.org/10.1016/j.diabres.2014.01.015.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Epping-Jordan JE, Pruitt SD, Bengoa R, Wagner EH. Improving the quality of health care for chronic conditions. Qual Saf Health Care. 2004;13(4):299–305. https://doi.org/10.1136/qshc.2004.010744.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Skovdal M, Daniel M. Resilience through participation and coping-enabling social environments: the case of HIV-affected children in sub-Saharan Africa. Afr J AIDS Res. 2012;11(3):153–64. https://doi.org/10.2989/16085906.2012.734975.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Corbin JM, Strauss A. Unending work and care. London: Jossey-Bass Inc., Publishers; 1988.

    Google Scholar 

  54. Barnes WM, Abramowitz S, Lagrange R, Chandwani S, Moschel D, Koenig LJ. Disease-specific knowledge among HIV-infected adolescents: what do they know and how do they learn it? J HIV/AIDS Soc Serv. 2013;12(3–4):314–32. https://doi.org/10.1080/15381501.2013.773576.

    Article  Google Scholar 

  55. Chandwani S, Koenig LJ, Sillc AM, Abramowitz S, Conner LC, D’Angelo L. Predictors of antiretroviral medication adherence among a diverse cohort of adolescents with HIV. J Adolesc Health. 2012;51:242–51. https://doi.org/10.1016/j.jadohealth.2011.12.013.

    Article  PubMed  Google Scholar 

  56. Swendeman D, Barbara L, Ingram BL, Rotheram-Borusa MJ. Common elements in self-management of HIV and other chronic illnesses: an integrative framework. AIDS Care. 2009;21(10):1321–34. https://doi.org/10.1080/09540120902803158.

    Article  PubMed  PubMed Central  Google Scholar 

  57. World Health Organization. Participant manual: IMAI one-day orientation on adolescents living with HIV. WHO Press, World Health Organization, Geneva, Switzerland. ISBN 978 92 4 159897 2. 2010. https://apps.who.int/iris/bitstream/handle/10665/44258/9789241598972_eng.pdf. Accessed 17 Mar 2016.

  58. Lippman LH, Moore KA, Guzman L, Ryberg R, McIntosh H, Ramos MF, Caal S, Carle A, Kuhfeld M. Chapter 2. Cognitive interviews: designing survey questions for adolescents. Flourishing children. Springer Netherlands. Briefs in well-being and quality of life research. 2014:25–43.

    Chapter  Google Scholar 

Download references

Acknowledgements

We would like to acknowledge the following organizations that provided funding for this study: National Research Foundation (NRF) of South Africa (Grant number 97022); South-2-South through the President’s Emergency Plan for AIDS Relief (PEPFAR); Harry Crossley Foundation funding through Stellenbosch University. Opinions expressed and conclusions arrived at, are those of the authors and are not attributed to the funders.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Talitha Crowley.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare.

Ethical Approval

Stellenbosch University Health Research Ethics Committee approval (Ref:S15/03/054) and Department of Health permission (Ref:WC_2015RP53_21) were obtained to conduct the study. Informed consent was obtained for all adult participants before data collection. Adolescent assent and parental consent (either in person or telephonically) was obtained for adolescents younger than 18. Adolescents and caregivers were reimbursed for their time and inconvenience (SA R80/USD 5.60 for interviews/focus groups and SA R30/USD 2.10 for completion of questionnaires). Participants could relate their experiences or complete questionnaires in their language of choice (English, Afrikaans or isiXhosa). All applicable international, national, and/or institutional guidelines for research on human beings were followed.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Crowley, T., Van der Merwe, A., Kidd, M. et al. Measuring Adolescent HIV Self-management: An Instrument Development Study. AIDS Behav 24, 592–606 (2020). https://doi.org/10.1007/s10461-019-02490-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10461-019-02490-z

Keywords

Navigation