Skip to main content

Advertisement

Log in

The Association of Material Hardship with Medication Adherence and Perceived Stress Among People Living with HIV in Rural Zambia

  • Published:
Global Social Welfare Aims and scope Submit manuscript

Abstract

The intersection of poverty and HIV/AIDS has exacerbated socioeconomic inequalities in Zambia. For example, the downstream consequences of HIV/AIDS are likely to be severe among the poor. Current research has relied on multidimensional indicators of poverty, which encompass various forms of deprivation, including material. Although comprehensive measures help us understand what constitutes poverty and deprivation, their complexity and scope may hinder the development of appropriate and feasible interventions. These limitations prompted us to examine whether material hardship, a more practicable, modifiable aspect of poverty, is associated with medication adherence and perceived stress among people living with HIV (PLHIV) in Zambia. We used cross-sectional data from 101 PLHIV in Lundazi District, Eastern Province. Data were collected using a questionnaire and hospital records. Material hardship was measured using a five-item scale. Perceived stress was measured using the ten-item perceived stress scale. Adherence was a binary variable measured using a visual analog scale and medication possession ratio (MPR) obtained from pharmacy data. We analyzed the data with multivariable linear and logistic regressions using multiply imputed datasets. Results indicated that greater material hardship was significantly associated with MPR non-adherence (odds ratio = 0.83) and higher levels of perceived mental distress (β = 0.34). Our findings provide one of the first evidence on the association of material hardship with treatment and mental health outcomes among PLHIV. The findings also draw attention to the importance of economic opportunities for PLHIV and their implications for reducing material hardship and improving adherence and mental health status.

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.

Similar content being viewed by others

References

  • Aberman, N. L., Rawat, R., Drimie, S., Claros, J. M., & Kadiyala, S. (2014). Food security and nutrition interventions in response to the AIDS epidemic: assessing global action and evidence. AIDS and Behavior, 18(Suppl 5), S554–S565. https://doi.org/10.1007/s10461-014-0822-z.

    Article  Google Scholar 

  • Aidala, A. A., Wilson, M. G., Shubert, V., Gogolishvili, D., Globerman, J., Rueda, S., Bozack, A. K., Caban, M., & Rourke, S. B. (2016). Housing status, medical care, and health outcomes among people living with HIV/AIDS: a systematic review. American Journal of Public Health, 106(1), e1–e23. https://doi.org/10.2105/AJPH.2015.302905.

    Article  Google Scholar 

  • Allison, P. D. (2002). Missing data series: quantitative applications in the social sciences. Thousand Oaks: Sage.

    Book  Google Scholar 

  • Ashman, J. J., Conviser, R., & Pounds, M. B. (2002). Associations between HIV-positive individuals’ receipt of ancillary services and medical care receipt and retention. AIDS Care, 14(Suppl 1), S109–S118. https://doi.org/10.1080/09540120220149993a.

    Article  Google Scholar 

  • Bachmann, M. O., & Booysen, F. L. R. (2003). Health and economic impact of HIV/AIDS on South African households: a cohort study. BMC Public Health, 3(1), 14.

    Article  Google Scholar 

  • Bachmann, M. O., & Booysen, F. L. R. (2004). Relationships between HIV/AIDS, income and expenditure over time in deprived South African households. AIDS Care, 16(7), 817–826. https://doi.org/10.1080/09540120412331290220.

    Article  Google Scholar 

  • Banerjee, A., Duflo, E., Goldberg, N., Karlan, D., Osei, R., Parienté, W., … Udry, C. (2015). A multifaceted program causes lasting progress for the very poor: evidence from six countries. Science, 348(6236), 1260799 https://doi.org/10.1126/science.1260799.

  • Beverly, S. G. (2001). Measures of material hardship. Journal of Poverty, 5(1), 23–41. https://doi.org/10.1300/J134v05n01_02.

    Article  Google Scholar 

  • Bezabhe, W. M., Chalmers, L., Bereznicki, L. R., Peterson, G. M., Bimirew, M. A., & Kassie, D. M. (2014). Barriers and facilitators of adherence to antiretroviral drug therapy and retention in care among adult HIV-positive patients: a qualitative study from Ethiopia. PLoS One, 9(5), e97353. https://doi.org/10.1371/journal.pone.0097353.

    Article  Google Scholar 

  • Braathen, S. H., Sanudi, L., Swartz, L., Jürgens, T., Banda, H. T., & Eide, A. H. (2016). A household perspective on access to health care in the context of HIV and disability: a qualitative case study from Malawi. BMC International Health and Human Rights, 16(1), 12. https://doi.org/10.1186/s12914-016-0087-x.

    Article  Google Scholar 

  • Bukusuba, J., Kikafunda, J. K., & Whitehead, R. G. (2007). Food security status in households of people living with HIV/AIDS (PLWHA) in a Ugandan urban setting. The British Journal of Nutrition, 98(1), 211–217.

    Article  Google Scholar 

  • Central Statistical Office. (2012). 2010 census of population and housing (volume 11 national descriptive tables). Lusaka, Zambia: CSO Retrieved from http://www.zamstats.gov.zm/report/Census/2010/National/Zambia%20National%20Descriptive%20Population%20Tables.pdf.

    Google Scholar 

  • Central Statistical Office [CSO]. (2011). Zambia 2010 census of population and housing: preliminary population figures. Lusaka, Zambia: CSO Retrieved from http://unstats.un.org/unsd/demographic/sources/census/2010_phc/Zambia/PreliminaryReport.pdf.

    Google Scholar 

  • Chi, B. H., Giganti, M., Mulenga, P. L., Limbada, M., Reid, S. E., Mutale, W., & Stringer, J. S. (2009). CD4+ response and subsequent risk of death among patients on antiretroviral therapy in Lusaka, Zambia. Journal of Acquired Immune Deficiency Syndromes, 52(1), 125–131. https://doi.org/10.1097/QAI.0b013e3181ab6d8b.

    Article  Google Scholar 

  • Cho, E. (2016). Making reliability reliable: a systematic approach to reliability coefficients. Organizational Research Methods, 19(4), 651–682. https://doi.org/10.1177/1094428116656239.

    Article  Google Scholar 

  • Choi, S. K. Y., Fielden, S., Globerman, J., Koornstra, J. J. J., Hambly, K., Walker, G., … Healthy Places Team, T. P. S. (2015). Food insufficiency, housing and health-related quality of life: results from the Positive Spaces, Healthy Places Study. AIDS Care, 27(9), 1183–1190. https://doi.org/10.1080/09540121.2015.1036725.

  • Chop, E., Duggaraju, A., Malley, A., Burke, V., Caldas, S., Yeh, P. T., Narasimhan, M., Amin, A., & Kennedy, C. E. (2017). Food insecurity, sexual risk behavior, and adherence to antiretroviral therapy among women living with HIV: a systematic review. Health Care for Women International, 38(9), 927–944. https://doi.org/10.1080/07399332.2017.1337774.

    Article  Google Scholar 

  • Coetzee, B., Kagee, A., & Bland, R. (2015). Barriers and facilitators to paediatric adherence to antiretroviral therapy in rural South Africa: a multi-stakeholder perspective. AIDS Care, 27(3), 315–321. https://doi.org/10.1080/09540121.2014.967658.

    Article  Google Scholar 

  • Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.

    Article  Google Scholar 

  • Collins, D. L., & Leibbrandt, M. (2007). The financial impact of HIV/AIDS on poor households in South Africa. AIDS, 21(Suppl 7), S75–S81. https://doi.org/10.1097/01.aids.0000300538.28096.1c.

    Article  Google Scholar 

  • Cornelius, T., Jones, M., Merly, C., Welles, B., Kalichman, M. O., & Kalichman, S. C. (2017). Impact of food, housing, and transportation insecurity on ART adherence: a hierarchical resources approach. AIDS Care, 29(4), 449–457. https://doi.org/10.1080/09540121.2016.1258451.

    Article  Google Scholar 

  • Czaicki, N. L., Mnyippembe, A., Blodgett, M., Njau, P., & McCoy, S. I. (2017). It helps me live, sends my children to school, and feeds me: a qualitative study of how food and cash incentives may improve adherence to treatment and care among adults living with HIV in Tanzania. AIDS Care, 29(7), 1–9. https://doi.org/10.1080/09540121.2017.1287340.

    Article  Google Scholar 

  • de Waal, A., & Whiteside, A. (2003). New variant famine: AIDS and food crisis in Southern Africa. Lancet, 362(9391), 1234–1237.

    Article  Google Scholar 

  • Dong, Y., & Peng, C.-Y. J. (2013). Principled missing data methods for researchers. SpringerPlus, 2(1), 222. https://doi.org/10.1186/2193-1801-2-222.

    Article  Google Scholar 

  • Drimie, S., & Casale, M. (2009). Multiple stressors in Southern Africa: the link between HIV/AIDS, food insecurity, poverty and children’s vulnerability now and in the future. AIDS Care, 21(Suppl 1), 28–33. https://doi.org/10.1080/09540120902942931.

    Article  Google Scholar 

  • Ehlers, V. J., & Tshisuyi, E. T. (2015). Adherence to antiretroviral treatment by adults in a rural area of Botswana. Curationis, 38(1), 10.4102. https://doi.org/10.4102/curationis.v38i1.1255.

    Article  Google Scholar 

  • Enders, C. K. (2010). Applied missing data analysis. New York: Guilford.

    Google Scholar 

  • Enders, C., Dietz, S., Montague, M., & Dixon, J. (2006). Modern alternatives for dealing with missing data in special education research. Advances in Learning and Behavioral Disorders, 19, 101–130.

    Google Scholar 

  • Evans, K. R. (2006). Ancillary services for individuals living with HIV/AIDS. The Nursing Clinics of North America, 41(3), 383–393. https://doi.org/10.1016/j.cnur.2006.05.005.

    Article  Google Scholar 

  • Filmer, D., & Scott, K. (2012). Assessing asset indices. Demography, 49(1), 359–392.

    Article  Google Scholar 

  • Fox, A. M. (2012). The HIV-poverty thesis re-examined: poverty, wealth or inequality as a social determinant of HIV infection in Sub-Saharan Africa? Journal of Biosocial Science, 44(4), 459–480. https://doi.org/10.1017/S0021932011000745.

    Article  Google Scholar 

  • Fox, M. P., Rosen, S., MacLeod, W. B., Wasunna, M., Bii, M., Foglia, G., & Simon, J. L. (2004). The impact of HIV/AIDS on labour productivity in Kenya. Tropical Medicine & International Health, 9(3), 318–324.

    Article  Google Scholar 

  • Franco, L. M., Burkhalter, B., de Wagt, A., Jennings, L., Kelley, A. G., & Hammink, M.-E. (2009). Evidence base for children affected by HIV and AIDS in low prevalence and concentrated epidemic countries: applicability to programming guidance from high prevalence countries. AIDS Care, 21(Suppl 1), 49–59. https://doi.org/10.1080/09540120902923089.

    Article  Google Scholar 

  • Gillespie, S., Kadiyala, S., & Greener, R. (2007). Is poverty or wealth driving HIV transmission? AIDS, 21(Suppl 7), S5–S16. https://doi.org/10.1097/01.aids.0000300531.74730.72.

    Article  Google Scholar 

  • Goldberg, R. E., & Short, S. E. (2016). What do we know about children living with HIV-infected or AIDS-ill adults in Sub-Saharan Africa? A systematic review of the literature. AIDS Care, 28(Suppl 2), 130–141. https://doi.org/10.1080/09540121.2016.1176684.

    Article  Google Scholar 

  • Gordon, D., Adelman, A., Ashworth, K., Bradshaw, J., Levitas, R., Middleton, S., … Williams, J. (2000). Poverty and social exclusion in Britain. York: Joseph Rowntree Foundation.

  • Graham, J. W., Olchowski, A. E., & Gilreath, T. D. (2007). How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prevention Science, 8(3), 206–213.

    Article  Google Scholar 

  • Guio, A. C., Marlier, E., Gordon, D., Fahmy, E., Nandy, S., & Pomati, M. (2016). Improving the measurement of material deprivation at the European Union level. Journal of European Social Policy, 26(3), 219–333. https://doi.org/10.1177/0958928716642947.

    Article  Google Scholar 

  • Haberer, J. E., Cook, A., Walker, A. S., Ngambi, M., Ferrier, A., Mulenga, V., Kityo, C., Thomason, M., Kabamba, D., Chintu, C., Gibb, D. M., & Bangsberg, D. R. (2011). Excellent adherence to antiretrovirals in HIV+ Zambian children is compromised by disrupted routine, HIV nondisclosure, and paradoxical income effects. PLoS One, 6(4), e18505. https://doi.org/10.1371/journal.pone.0018505.

    Article  Google Scholar 

  • Hamoudi, A., & Dowd, J. B. (2014). Housing wealth, psychological well-being, and cognitive functioning of older Americans. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 69(2), 253–262. https://doi.org/10.1093/geronb/gbt114.

    Article  Google Scholar 

  • Hampanda, K. M., Abuogi, L. L., & Ahmed, Y. (2017). HIV-positive women taking lifelong antiretroviral therapy report better adherence than women taking short-course prophylaxis during and after pregnancy under PMTCT program option A in Lusaka, Zambia. International Journal of MCH and AIDS, 6(1), 27–35. https://doi.org/10.21106/ijma.164.

    Article  Google Scholar 

  • Hardon, A. P., Akurut, D., Comoro, C., Ekezie, C., Irunde, H. F., Gerrits, T., Kglatwane, J., Kinsman, J., Kwasa, R., Maridadi, J., Moroka, T. M., Moyo, S., Nakiyemba, A., Nsimba, S., Ogenyi, R., Oyabba, T., Temu, F., & Laing, R. (2007). Hunger, waiting time and transport costs: time to confront challenges to ART adherence in Africa. AIDS Care, 19(5), 658–665.

    Article  Google Scholar 

  • Hashemi, S., & Montesquiou, A. D. (2011). Reaching the poorest: lessons from the graduation model. Focus Note, 69, 1–15.

    Google Scholar 

  • Henegar, C. E., Westreich, D., Maskew, M., Brookhart, M. A., Miller, W. C., Majuba, P., & Rie, A. V. (2015). Comparison of pharmacy-based measures of adherence to antiretroviral therapy as predictors of virological failure. AIDS and Behavior, 19(4), 612–618. https://doi.org/10.1007/s10461-014-0953-2.

    Article  Google Scholar 

  • Heylen, E., Panicker, S. T., Chandy, S., Steward, W. T., & Ekstrand, M. L. (2015). Food insecurity and its relation to psychological well-being among south Indian people living with HIV. AIDS and Behavior, 19(8), 1548–1558. https://doi.org/10.1007/s10461-014-0966-x.

    Article  Google Scholar 

  • Hobfoll, S. E. (1989). Conservation of resources. A new attempt at conceptualizing stress. The American Psychologist, 44(3), 513–524.

    Article  Google Scholar 

  • Holtzman, C. W., Shea, J. A., Glanz, K., Jacobs, L. M., Gross, R., Hines, J., Mounzer, K., Samuel, R., Metlay, J. P., & Yehia, B. R. (2015). Mapping patient-identified barriers and facilitators to retention in HIV care and antiretroviral therapy adherence to Andersen’s behavioral model. AIDS Care, 27(7), 817–828. https://doi.org/10.1080/09540121.2015.1009362.

    Article  Google Scholar 

  • Hong, S. Y., Jerger, L., Jonas, A., Badi, A., Cohen, S., Nachega, J. B., Parienti, J. J., Tang, A. M., Wanke, C., Terrin, N., Pereko, D., Blom, A., Trotter, A. B., & Jordan, M. R. (2013). Medication possession ratio associated with short-term virologic response in individuals initiating antiretroviral therapy in Namibia. PLoS One, 8(2), e56307. https://doi.org/10.1371/journal.pone.0056307.

    Article  Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–5. https://doi.org/10.1080/10705519909540118.

    Article  Google Scholar 

  • Ickovics, J. R., & Meade, C. S. (2002). Adherence to antiretroviral therapy among patients with HIV: a critical link between behavioral and biomedical sciences. Journal of Acquired Immune Deficiency Syndromes, 31(Suppl 3), S98–S102.

  • Isaacs, J., Ouellette, T., Burstein, N., Long, D., & Beecroft, E. (2004). Measures of material hardship. Final report. Washington, D.C.: U.S. Department of Health and Human Services. Retrieved from https://aspe.hhs.gov/system/files/pdf/73366/report.pdf

  • Kabore, L., Muntner, P., Chamot, E., Zinski, A., Burkholder, G., & Mugavero, M. J. (2015). Self-report measures in the assessment of antiretroviral medication adherence: comparison with medication possession ratio and HIV viral load. Journal of the International Association of Providers of AIDS Care, 14(2), 156–162. https://doi.org/10.1177/2325957414557263.

    Article  Google Scholar 

  • Kadiyala, S., & Rawat, R. (2013). Food access and diet quality independently predict nutritional status among people living with HIV in Uganda. Public Health Nutrition, 16(1), 164–170. https://doi.org/10.1017/S136898001200050X.

    Article  Google Scholar 

  • Kalichman, S. C., Hernandez, D., Cherry, C., Kalichman, M. O., Washington, C., & Grebler, T. (2014). Food insecurity and other poverty indicators among people living with HIV/AIDS: effects on treatment and health outcomes. Journal of Community Health, 39(6), 1133–1139. https://doi.org/10.1007/s10900-014-9868-0.

    Article  Google Scholar 

  • Kamndaya, M., Thomas, L., Vearey, J., Sartorius, B., & Kazembe, L. (2014). Material deprivation affects high sexual risk behavior among young people in urban slums, South Africa. Journal of Urban Health, 91(3), 581–591. https://doi.org/10.1007/s11524-013-9856-1.

    Article  Google Scholar 

  • Kenrick, D. T., Griskevicius, V., Neuberg, S. L., & Schaller, M. (2010). Renovating the pyramid of needs: contemporary extensions built upon ancient foundations. Perspectives on Psychological Science, 5(3), 292–314. https://doi.org/10.1177/1745691610369469.

    Article  Google Scholar 

  • Kim, S. W., Skordis-Worrall, J., Haghparast-Bidgoli, H., & Pulkki-Brännström, A.-M. (2016). Socio-economic inequity in HIV testing in Malawi. Global Health Action, 9(1), 31730.

    Article  Google Scholar 

  • Koethe, J. R., Blevins, M., Bosire, C., Nyirenda, C., Kabagambe, E. K., Mwango, A., Kasongo, W., Zulu, I., Shepherd, B. E., & Heimburger, D. C. (2013). Self-reported dietary intake and appetite predict early treatment outcome among low-BMI adults initiating HIV treatment in Sub-Saharan Africa. Public Health Nutrition, 16(3), 549–558. https://doi.org/10.1017/S1368980012002960.

    Article  Google Scholar 

  • Langebeek, N., Gisolf, E. H., Reiss, P., Vervoort, S. C., Hafsteinsdottir, T. B., Richter, C., … Nieuwkerk, P. T. (2014). Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Medicine, 12(1), 142. https://doi.org/10.1186/PREACCEPT-1453408941291432.

  • Larson, B. A., Fox, M. P., Bii, M., Rosen, S., Rohr, J., Shaffer, D., Sawe, F., Wasunna, M., & Simon, J. L. (2013). Antiretroviral therapy, labor productivity, and sex: a longitudinal cohort study of tea pluckers in Kenya. AIDS, 27(1), 115–123. https://doi.org/10.1097/QAD.0b013e32835a5b12.

    Article  Google Scholar 

  • Leung, D. Y. P., Lam, T., & Chan, S. S. C. (2010). Three versions of perceived stress scale: validation in a sample of Chinese cardiac patients who smoke. BMC Public Health, 10(1), 1–7. https://doi.org/10.1186/1471-2458-10-513.

    Article  Google Scholar 

  • Madhvani, N., Longinetti, E., Santacatterina, M., Forsberg, B. C., & El-Khatib, Z. (2015). Correlates of mobile phone use in HIV care: results from a cross-sectional study in South Africa. Preventive Medicine Reports, 2, 512–516. https://doi.org/10.1016/j.pmedr.2015.06.010.

    Article  Google Scholar 

  • Marinescu, I. (2014). HIV, wages, and the skill premium. Journal of Health Economics, 37, 181–197. https://doi.org/10.1016/j.jhealeco.2014.06.010.

    Article  Google Scholar 

  • Masa, R., Chowa, G., & Nyirenda, V. (2018). Chuma na Uchizi: a livelihood intervention to increase food security of people living with HIV in rural Zambia. Journal of Health Care for the Poor and Underserved, 29(1), 349–372. https://doi.org/10.1353/hpu.2018.0024.

    Article  Google Scholar 

  • Maslow, A. (1943). A theory of human motivation. Psychological Review, 50(4), 370–396.

    Article  Google Scholar 

  • Matovu, J. K. B., & Ssebadduka, N. B. (2014). Knowledge, attitudes & barriers to condom use among female sex workers and truck drivers in Uganda: a mixed-methods study. African Health Sciences, 13(4), 1027–1033.

    Article  Google Scholar 

  • McCoy, S. I., Ralph, L. J., Njau, P. F., Msolla, M. M., & Padian, N. S. (2014). Food insecurity, socioeconomic status, and HIV-related risk behavior among women in farming households in Tanzania. AIDS and Behavior, 18(7), 1224–1236. https://doi.org/10.1007/s10461-013-0629-3.

    Article  Google Scholar 

  • McMahon, J. H., Jordan, M. R., Kelley, K., Bertagnolio, S., Hong, S. Y., Wanke, C. A., Lewin, S. R., & Elliott, J. H. (2011). Pharmacy adherence measures to assess adherence to antiretroviral therapy: review of the literature and implications for treatment monitoring. Clinical Infectious Diseases, 52(4), 493–506. https://doi.org/10.1093/cid/ciq167.

    Article  Google Scholar 

  • Miller, C. L., Bangsberg, D. R., Tuller, D. M., Senkungu, J., Kawuma, A., Frongillo, E. A., & Weiser, S. D. (2011). Food insecurity and sexual risk in an HIV endemic community in Uganda. AIDS and Behavior, 15(7), 1512–1519. https://doi.org/10.1007/s10461-010-9693-0.

    Article  Google Scholar 

  • Mishra, V., Assche, S. B.-V., Greener, R., Vaessen, M., Hong, R., Ghys, P. D., Boerma, J. T., van Assche, A., Khan, S., & Rutstein, S. (2007). HIV infection does not disproportionately affect the poorer in Sub-Saharan Africa. AIDS, 21(Suppl 7), S17–S28. https://doi.org/10.1097/01.aids.0000300532.51860.2a.

    Article  Google Scholar 

  • Misselhorn, A. A. (2005). What drives food insecurity in Southern Africa? A meta-analysis of household economy studies. Global Environmental Change, 15(1), 33–43.

    Article  Google Scholar 

  • Mohanty, S. K., Agrawal, N. K., Mahapatra, B., Choudhury, D., Tuladhar, S., & Holmgren, E. V. (2017). Multidimensional poverty and catastrophic health spending in the mountainous regions of Myanmar, Nepal and India. International Journal for Equity in Health, 16(1), 21. https://doi.org/10.1186/s12939-016-0514-6.

    Article  Google Scholar 

  • Musumari, P. M., Wouters, E., Kayembe, P. K., Nzita, M. K., Mbikayi, S. M., Suguimoto, S. P., … Kihara, M. (2014). Food insecurity is associated with increased risk of non-adherence to antiretroviral therapy among HIV-infected adults in the Democratic Republic of Congo: a cross-sectional study. PLoS One, 9(1), e85327. https://doi.org/10.1371/journal.pone.0085327.

  • Mutumba, M., Musiime, V., Lepkwoski, J. M., Harper, G. W., Snow, R. C., Resnicow, K., & Bauermeister, J. A. (2016). Examining the relationship between psychological distress and adherence to anti-retroviral therapy among Ugandan adolescents living with HIV. AIDS Care, 28(7), 807–815. https://doi.org/10.1080/09540121.2015.1131966.

    Article  Google Scholar 

  • Nabukeera-Barungi, N., Elyanu, P., Asire, B., Katureebe, C., Lukabwe, I., Namusoke, E., Musinguzi, J., Atuyambe, L., & Tumwesigye, N. (2015). Adherence to antiretroviral therapy and retention in care for adolescents living with HIV from 10 districts in Uganda. BMC Infectious Diseases, 15(1), 520. https://doi.org/10.1186/s12879-015-1265-5.

    Article  Google Scholar 

  • National AIDS Council [NAC]. (2014). National HIV/AIDS strategic framework 2014–2016: a nation free from the threat of HIV and AIDS. Lusaka, Zambia: NAC. Retrieved from http://www.nac.org.zm/content/revised-national-hiv-and-aids-strategic-framework-r-nasf-2014-2016.

  • Norton, B. L., Person, A. K., Castillo, C., Pastrana, C., Subramanian, M., & Stout, J. E. (2014). Barriers to using text message appointment reminders in an HIV clinic. Telemedicine Journal and E-Health, 20(1), 86–89. https://doi.org/10.1089/tmj.2012.0275.

    Article  Google Scholar 

  • Rawat, R., McCoy, S. I., & Kadiyala, S. (2013). Poor diet quality is associated with low CD4 count and anemia and predicts mortality among antiretroviral therapy-naive HIV-positive adults in Uganda. Journal of Acquired Immune Deficiency Syndromes, 62(2), 246–253. https://doi.org/10.1097/QAI.0b013e3182797363.

    Article  Google Scholar 

  • Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184. https://doi.org/10.1177/01466216970212006.

    Article  Google Scholar 

  • Rougemont, M., Stoll, B. E., Elia, N., & Ngang, P. (2009). Antiretroviral treatment adherence and its determinants in Sub-Saharan Africa: a prospective study at Yaounde Central Hospital, Cameroon. AIDS Research and Therapy, 6(1), 21. https://doi.org/10.1186/1742-6405-6-21.

    Article  Google Scholar 

  • Sangeda, R. Z., Mosha, F., Prosperi, M., Aboud, S., Vercauteren, J., Camacho, R. J., Lyamuya, E. F., van Wijngaerden, E., & Vandamme, A. M. (2014). Pharmacy refill adherence outperforms self-reported methods in predicting HIV therapy outcome in resource-limited settings. BMC Public Health, 14(1), 1035. https://doi.org/10.1186/1471-2458-14-1035.

    Article  Google Scholar 

  • Semvua, S. K., Orrell, C., Mmbaga, B. T., Semvua, H. H., Bartlett, J. A., & Boulle, A. A. (2017). Predictors of non-adherence to antiretroviral therapy among HIV infected patients in Northern Tanzania. PLoS One, 12(12), e0189460. https://doi.org/10.1371/journal.pone.0189460.

    Article  Google Scholar 

  • Sen, A. (1997). On economic inequality. New York: Oxford University Press.

    Google Scholar 

  • Sen, A. (1999). Development as freedom (1st ed.). New York: Knopf.

    Google Scholar 

  • Shacham, E., Estlund, A. L., Tanner, A. E., & Presti, R. (2017). Challenges to HIV management among youth engaged in HIV care. AIDS Care, 29(2), 189–196. https://doi.org/10.1080/09540121.2016.1204422.

    Article  Google Scholar 

  • Short, S. E., & Goldberg, R. E. (2015). Children living with HIV-infected adults: estimates for 23 countries in Sub-Saharan Africa. PLoS One, 10(11), e0142580. https://doi.org/10.1371/journal.pone.0142580.

    Article  Google Scholar 

  • Shubber, Z., Mills, E. J., Nachega, J. B., Vreeman, R., Freitas, M., Bock, P., Nsanzimana, S., Penazzato, M., Appolo, T., Doherty, M., & Ford, N. (2016). Patient-reported barriers to adherence to antiretroviral therapy: a systematic review and meta-analysis. PLoS Medicine, 13(11), e1002183. https://doi.org/10.1371/journal.pmed.1002183.

    Article  Google Scholar 

  • Siefried, K. J., Mao, L., Kerr, S., Cysique, L. A., Gates, T. M., McAllister, J., … PAART study investigators. (2017). Socioeconomic factors explain suboptimal adherence to antiretroviral therapy among HIV-infected Australian adults with viral suppression. PloS One, 12(4), e0174613. https://doi.org/10.1371/journal.pone.0174613.

  • Simoni, J. M., Huh, D., Wang, Y., Wilson, I. B., Reynolds, N. R., Remien, R. H., Goggin, K., Gross, R., Rosen, M. I., Schneiderman, N., Arnsten, J., Golin, C. E., Erlen, J. A., Bangsberg, D. R., & Liu, H. (2014). The validity of self-reported medication adherence as an outcome in clinical trials of adherence-promotion interventions: findings from the MACH14 study. AIDS and Behavior, 18(12), 2285–2290. https://doi.org/10.1007/s10461-014-0905-x.

    Article  Google Scholar 

  • Singer, A. W., Weiser, S. D., & McCoy, S. I. (2015). Does food insecurity undermine adherence to antiretroviral therapy? A systematic review. AIDS and Behavior, 19(8), 1510–1526. https://doi.org/10.1007/s10461-014-0873-1.

    Article  Google Scholar 

  • Stata. (2017). Stata statistical software: release 15. College Station: StataCorp LLC.

    Google Scholar 

  • Steiner, J. F., & Prochazka, A. V. (1997). The assessment of refill compliance using pharmacy records: methods, validity, and applications. Journal of Clinical Epidemiology, 50(1), 105–116. https://doi.org/10.1016/S0895-4356(96)00268-5.

    Article  Google Scholar 

  • Stringer, J. S., Zulu, I., Levy, J., Stringer, E. M., Mwango, A., Chi, B. H., … Sinkala, M. (2006). Rapid scale-up of antiretroviral therapy at primary care sites in Zambia: feasibility and early outcomes. JAMA, 296(7), 782–793.

  • Teare, M. D., Dimairo, M., Shephard, N., Hayman, A., Whitehead, A., & Walters, S. J. (2014). Sample size requirements to estimate key design parameters from external pilot randomised controlled trials: a simulation study. Trials, 15(1), 264. https://doi.org/10.1186/1745-6215-15-264.

    Article  Google Scholar 

  • Tekola, F., Reniers, G., Haile Mariam, D., Araya, T., & Davey, G. (2008). The economic impact of HIV/AIDS morbidity and mortality on households in Addis Ababa, Ethiopia. AIDS Care, 20(8), 995–1001. https://doi.org/10.1080/09540120701777256.

    Article  Google Scholar 

  • Thomson, H., Thomas, S., Sellstrom, E., & Petticrew, M. (2013). Housing improvements for health and associated socio-economic outcomes. The Cochrane Database of Systematic Reviews, 2, CD008657. https://doi.org/10.1002/14651858.CD008657.pub2.

    Article  Google Scholar 

  • Tuller, D. M., Bangsberg, D. R., Senkungu, J., Ware, N. C., Emenyonu, N., & Weiser, S. D. (2010). Transportation costs impede sustained adherence and access to HAART in a clinic population in southwestern Uganda: a qualitative study. AIDS and Behavior, 14(4), 778–784. https://doi.org/10.1007/s10461-009-9533-2.

    Article  Google Scholar 

  • Weiser, S. D., Tuller, D. M., Frongillo, E. A., Senkungu, J., Mukiibi, N., & Bangsberg, D. R. (2010). Food insecurity as a barrier to sustained antiretroviral therapy adherence in Uganda. PLoS One, 5(4), e10340. https://doi.org/10.1371/journal.pone.0010340.

    Article  Google Scholar 

  • Weiser, S. D., Tsai, A. C., Gupta, R., Frongillo, E. A., Kawuma, A., Senkungu, J., Hunt, P. W., Emenyonu, N. I., Mattson, J. E., Martin, J. N., & Bangsberg, D. R. (2012). Food insecurity is associated with morbidity and patterns of healthcare utilization among HIV-infected individuals in a resource-poor setting. AIDS, 26(1), 67–75. https://doi.org/10.1097/QAD.0b013e32834cad37.

    Article  Google Scholar 

  • Weiser, S. D., Bukusi, E. A., Steinfeld, R. L., Frongillo, E. A., Weke, E., Dworkin, S. L., Pusateri, K., Shiboski, S., Scow, K., Butler, L. M., & Cohen, C. R. (2015). Shamba Maisha: randomized controlled trial of an agricultural and finance intervention to improve HIV health outcomes. AIDS, 29(14), 1889–1894. https://doi.org/10.1097/QAD.0000000000000781.

    Article  Google Scholar 

  • White, I. R., Royston, P., & Wood, A. M. (2011). Multiple imputation using chained equations: issues and guidance for practice. Statistics in Medicine, 30(4), 377–399.

    Article  Google Scholar 

  • Wojcicki, J. M. (2005). Socioeconomic status as a risk factor for HIV infection in women in East, Central and Southern Africa: a systematic review. Journal of Biosocial Science, 37(1), 1–36.

    Article  Google Scholar 

  • Yager, J. E., Kadiyala, S., & Weiser, S. D. (2011). HIV/AIDS, food supplementation and livelihood programs in Uganda: a way forward? PLoS One, 6(10), e26117. https://doi.org/10.1371/journal.pone.0026117.

    Article  Google Scholar 

  • Young, S., Wheeler, A. C., McCoy, S. I., & Weiser, S. D. (2014). A review of the role of food insecurity in adherence to care and treatment among adult and pediatric populations living with HIV and AIDS. AIDS and Behavior, 18(Suppl 5), S505–S515. https://doi.org/10.1007/s10461-013-0547-4.

    Article  Google Scholar 

Download references

Funding

This study was funded by the University of North Carolina Center for AIDS Research (grant number: P30 AI50410).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rainier Masa.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Masa, R., Chowa, G. The Association of Material Hardship with Medication Adherence and Perceived Stress Among People Living with HIV in Rural Zambia. Glob Soc Welf 6, 17–28 (2019). https://doi.org/10.1007/s40609-018-0122-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40609-018-0122-z

Keywords

Navigation