Authors

  1. Tolu, Garumma Feyissa, MPH
  2. Lockwood, Craig RN, BN, GDipClinNurs, MNsc, PhD
  3. Munn, Zachary BMedRad (Nuc Med),GradDipHlthSc, PhD

Abstract

Review question/objective: The objective of this review is to determine the effectiveness of home-based HIV counselling and testing in reducing HIV related stigma and risky sexual behavior among adults and adolescents. As a secondary outcome, the review will also determine the effect of home-based HIV counselling and testing on clinical outcomes.

 

Background: Human immunodeficiency virus and acquired immunodeficiency syndrome (HIV/AIDS) is one of the leading causes of mortality and morbidity worldwide.1 In a 2010 analysis of disease burden, it was ranked first among leading causes of disability adjusted life years (DALYs) in Southern Sub-Saharan Africa and Eastern Sub-Saharan Africa and the fifth leading cause of DALYs globally.1 In the same year, HIV/AIDS was the main cause of DALYs for young adults globally.1 According to the Joint United Nations Programme on HIV/AIDS (UNAIDS) report, at the end of 2013, there were 35 million people living with HIV worldwide.2 Of these, 24.7 million were living in Sub-Saharan Africa, where nearly one in every 25 adults (4.4%) were living with the virus.2 Since 2001, new HIV infections have increased by 31% in the Middle East and North Africa, where trends in rising new infections are causes for concern.2 In Western Europe and North America, new HIV infections had increased by 6% at the end of 2013 from where it was in 2001.2

 

Specific groups that have behaviors that do not conform to social norms and groups that are legally criminalized in some countries, such as people who inject drugs, men who have sex with men and sex workers and sex workers are highly affected by HIV.2 The UNAIDS report indicated that worldwide the HIV prevalence among sex workers is 12 times greater than that among the general population.2 This report also indicates that, there are an estimated 12.7 million people who inject drugs worldwide, and 13% of them are living with HIV.2

 

There are three aspects to the HIV/AIDS epidemic: the epidemic of HIV, the epidemic of AIDS, and the epidemic of stigma, discrimination, and denial. The third aspect is the epidemic of social, cultural, economic and political responses to AIDS.3 Stigma is typically a social process, experienced or anticipated, characterized by exclusion, rejection, blame or devaluation that results from experience, perception or reasonable anticipation of an adverse social judgment about a person or a group.4 HIV/AIDS-related stigma builds upon and reinforces earlier negative thoughts.5,6 People living with HIV/AIDS (PLHIV) may be considered to have deserved becoming infected with the virus by doing something wrong. Often these "wrongdoings" are linked to sex or to illegal or socially "frowned upon" activities, such as injecting drug use. Men who become infected may be seen as homosexual, bisexual or as having had sex with prostitutes.5 HIV-related stigma may be manifested in the form of anticipated stigma (expectation of social rejection, violence or discrimination by PLHIV), enacted stigma (actual experience of social rejection, violence or discrimination by PLHIV) and self/felt/internalized stigma (feelings and beliefs of PLHIV that they are disgusting and immoral).7

 

Researchers have validated scales for the measurement of stigma and discrimination. Genberg and colleagues use three dimensions of stigma: negative attitude (shame, blame, and social isolation), discrimination; and equity.8 The first component (negative attitude) encompasses items regarding the shame of PLHIV, items related to labelling, devaluing and isolation of PLHIV.8 It also includes blame for the responsibility for HIV infection on the HIV positive person, feelings about PLHIV and attitudes regarding the proper treatment of PLHIV and their families.8 The second component is discrimination (enacted stigma).8 The third component (equity) focuses on the endorsement of views that PLHIV should be considered equal members of the society as those who are HIV-free.8 Visser and colleagues have also developed the parallel stigma scale that enables comparison both within groups and across different populations.9 They developed three parallel scales (personal stigma, attributed stigma, and internalized stigma) that use the same items.9 Personal stigma refers to stigmatizing attitude held by individuals within a group or community.9 Attributed stigma measures the level of stigma that individuals attribute to others in their group or community.9 Internalized stigma assesses the extent to which an HIV infected individual feels stigmatized because of the disease.9 Therefore, these validated scales measure stigma from the perspective of the victims (PLHIV), from the perspective of the community about their own perceptions about PLHIV and from the perspective the community about their perceptions of how others think/act about PLHIV.

 

Stigma and discrimination related to HIV act as barriers to the uptake of testing and treatment services. Stigma and discrimination also affect economic, social and emotional outcomes of individuals.10,11 Studies have shown that the fear of experiencing stigma and discrimination inhibits disclosure of HIV-positive status, thus contributing to spreading the virus further.12 Lack of knowledge of HIV serological status acts as a major obstacle to HIV prevention and access to care and support services, thereby exacerbating HIV-related complications.13 Researchers have suggested that massive scale-up of universal voluntary HIV testing with immediate initiation of antiretroviral therapy (ART) could nearly stop transmission and drive HIV into an elimination phase in a high-burden setting.14

 

Individuals who have never been tested for HIV exhibit significantly greater stigmatizing attitudes towards people living with HIV (PLHIV) compared with those who have been tested for HIV.10 In addition, there is a growing evidence indicating that voluntary counselling and testing (VCT) can change HIV-related sexual risk behaviors, thereby reducing HIV-related risk and confirming its importance as an HIV prevention strategy.15 However, the fear of stigma by itself may act as a barrier to HIV counselling and testing, and the fear of disapproval and discrimination by health care providers may deter many from accessing facility-based health services.16

 

Interventions designed to increase HIV testing should, therefore, address stigma and perceptions of societal testing (social norms of HIV testing).17 In order to maximize the effectiveness of HIV counselling and testing (HCT), it is essential to understand HCT service delivery strategies that produce significant reductions in stigma and risky behaviors and that lead to the greatest uptake of HCT.15

 

There are several HCT service delivery models. The first model is free standing HCT service in which HCT is delivered in stand-alone centres outside of health institutions.18 The second model is facility-based integrated HCT in which HCT is integrated into healthcare settings, such as sexually transmitted infection (STI) clinics, tuberculosis clinics, and family planning and maternal and child health clinics.18 The third HCT delivery model is mobile HCT, which involves the provision of HCT by mobile teams equipped with HIV testing facilities.18 The fourth model is routine counselling and testing, in which healthcare providers recommend HCT to persons attending healthcare facilities as a standard component of medical care.18 The fifth model is home-based HCT, in which HIV counsellors provide door-to-door HCT services in clients' homes.18 In home-based HCT programs, lay-counsellors or community health workers provide counselling and testing.18 This strategy addresses the needs of the entire family at once.18

 

Primary studies have demonstrated that home-based HCT had a larger impact of reducing stigma than institution-based testing among adults and adolescents.10,19,20 These studies indicate that compared to facility based counselling and testing, home-based HIV testing and counselling reduces multiple sexual partnership and casual sex and results in higher uptake of couple counselling and testing,19 reduces the proportion of people who exchange money for sex (transactional sex), increases the proportion of people who use a condom, reduces the proportion of report of genital ulcer/discharge.20 As well, it has been shown that home-based counselling and testing substantially reduces inequalities of uptake of services in terms of gender,21,22 educational status21,22 and place of residence (urban versus rural).22 Contrarily, a study conducted in Kenya reported that home-based HIV testing increased feelings of anger toward HIV-positive individuals but lowered the sense that having HIV was a sign of immoral behavior.23 A study conducted in Uganda indicated that the clients who received home-based HCT were less likely to report having STI symptoms and more likely to be worried about discrimination if they contracted HIV.24 Another study conducted in Uganda indicated that while facility-based HCT promotes abstinence and condom use, home-based HCT promotes faithfulness and disclosure.25 Therefore, it is essential to synthesize the best available evidence on the effects of these interventions on stigma and risky sexual behavior.

 

A Cochrane systematic review that tried to assess the effect of home-based HIV counselling and testing on uptake of HIV testing in 2010 recommended that further primary studies were needed to determine if home-based VCT is more effective than facility-based VCT in improving uptake of VCT.18 This review reported that home based VCT has potential to enhance VCT uptake.18

 

A systematic review conducted in 2012 indicated that home-based HIV testing could substantially increase uptake of HIV testing and awareness of HIV serological status in Sub-Saharan Africa.26 Another systematic review reported community-based HCT achieved higher rates of HCT and reached people with higher CD4 counts.27 However, none of the above systematic reviews reported the effectiveness of home-based HCT on outcomes HIV related stigma and sexual behavior.18,26

 

A preliminary search for systematic reviews on this topic was performed in PubMed, CINAHL, DARE and PROSPERO. No existing systematic reviews were identified in these databases that address the same review objective and use the same inclusion criteria.

 

Cognizant of this fact, this review seeks to pool the findings of studies that investigate the effectiveness of home-based HCT on HIV-related stigma, social norms to HIV testing and risky sexual behavior. Such evidence is helpful to determine whether there is support for recommending home-based HIV counselling and testing over other HCT services delivery models.

 

Article Content

Inclusion criteria

Types of participants

This review will consider studies that include adolescents between the ages 13 and 17 years and all adults aged 18 years and above, including those above 65 years of age.

 

Types of interventions

This review will consider studies that evaluate home-based HIV testing and counselling.

 

For the purposes of this review, home-based HIV counselling and testing is defined as a door-to-door service that provides HIV counselling and testing at people's homes provided by trained lay counsellors.

 

Comparators

The comparator will be free standing HCT service, or facility-based integrated HCT, or routine counselling and testing, mobile HCT, workplace HCT or all of these models of HCT delivery.

 

Types of outcomes

This review will consider studies that include the following outcome measures:

 

Primary outcomes:

 

* HIV-related stigma (internalized stigma if test result is positive and personal stigma/discrimination towards people living with HIV). Internalized stigma assesses the extent to which an HIV-infected individual feels stigmatized because of the disease.9 Personal stigma refers to stigmatizing attitude held by individuals within a group or community.9 Studies that measured one or more dimensions of stigma will be included. These dimensions may include negative attitude (shame, blame, and social isolation), discrimination (actual experience of stigma); and equity.8 All scales or indicators to assess HIV related stigma will be included.8,9

 

* Self-disclosure of HIV serological status (telling one's serological status to partners, friends or family) if test result is positive.

 

* Sexual behavior: Sexual behavior includes use of male/female condoms, frequency of having unprotected sex and number of sex partners and engagement in transactional sex (exchange of sex for money). For this study, risky sexual behavior is defined as having sex with non-regular partners without the use of condoms, or giving or taking money for sex.

 

 

Secondary outcomes:

 

* Clinical outcomes for those with positive test results (CD4 count, HIV viral load, Clinical WHO-stage and frequency of opportunistic infections), and episodes of STI symptoms (genital ulcer or discharge) or prevalence of any STI.

 

 

Types of studies

This review will consider both experimental and epidemiological study designs including randomized controlled trials, non-randomized controlled trials, quasi-experimental studies, before and after studies, prospective and retrospective cohort studies, case control studies and analytical cross-sectional studies for inclusion. This review will also consider descriptive epidemiological study designs including case series, individual case reports and descriptive cross-sectional studies.

 

Search strategy

The search strategy aims to find both published and unpublished studies. A three-step search strategy will be utilised in this review. An initial limited search of MEDLINE, Web of Science, EMBASE, Scopus and CINAHL will be undertaken followed by analysis of the text words contained in the title and abstract, and of the index terms used to describe article. A second search using all identified keywords and index terms will then be undertaken across all included databases. Thirdly, the reference list of all identified reports and articles will be searched for additional studies. Studies published in English language from 2001 to 2014 will be considered for inclusion in this review, because articles that describe alternative approaches to VCT service delivery were published after 2001.29

 

The databases to be searched include: MEDLINE, Web of Science, EMBASE, Scopus and CINAHL The search for unpublished studies will include: WHO International Clinical Trials Registry Platform, Clinicaltrials.gov, Mednar, Google Scholar, AIDSinfo and ProQuest Dissertations and Theses Database (PQDT), Social Services Abstracts and Sociological Abstracts.

 

Initial keywords to be used will be home, home-based, household, door-to- door, HIV, counselling, testing, VCT, stigma, discrimination, disclosure, sexual behavior, condoms, behavioral outcomes, CD4 count, clinical status, clinical outcome and clinical progress.

 

Assessment of methodological quality

Papers selected for retrieval will be assessed by two independent reviewers for methodological validity prior to inclusion in the review using standardised critical appraisal instruments from the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) (Appendix I ). Any disagreements that arise between the reviewers will be resolved through discussion, or with a third reviewer.

 

Data collection

Data will be extracted from papers included in the review using the standardised data extraction tool from JBI-MAStARI (Appendix II ). The data extracted will include specific details about the interventions, populations, study methods and outcomes of significance to the review question and specific objectives.

 

Data synthesis

Quantitative data will, where possible, be pooled in statistical meta-analysis using JBI-MAStARI. All results will be subject to double data entry. Before conducting meta-analyses, heterogeneity will be assessed statistically using the standard Chi-square and visual inspection of the meta-analysis output on a forest plot. Because of the possibility of low power if there are few studies, we will use a significance level of P < 0.1 in order to protect against the possibility of falsely stating that there is no heterogeneity present. Data will also be explored using subgroup analyses based on the different study designs included in this review. If there is statistical heterogeneity, since fixed effect model will not fit into observed data, the data syntheses will be based on the random effects model. In this case, effect sizes expressed as odds ratio (OR) and relative risk (RR) (for categorical data) and weighted mean differences (WMD) and standardized mean difference (SMD) (for continuous data) and their 95% confidence intervals will be calculated using DerSimonian and Laird method. If there is no statistical heterogeneity, a fixed effects model will be employed. Effect sizes expressed as OR and RR and their respective 95% confidence intervals will then be calculated using Mantel-Haenszel method, because it has been shown to be more robust when the data are sparse (when the number of trials are very small). For continuous data, Hedge's SMD will be calculated as this method includes an adjustment for small sample size. Where statistical pooling is not possible the findings will be presented in narrative form including tables and figures to aid in data presentation where appropriate.

 

Conflicts of interest

We declare neither financial nor intellectual conflicts of interest in this work.

 

Acknowledgements

Garumma Tolu Feyissa would like to acknowledge the Joanna Briggs Institute (JBI) and the University of Adelaide for both financial and technical support.

 

References

 

1 Murray CJL, Vos T, Lozano R et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet. 2012;380(9859):2197-223. [Context Link]

 

2 UNAIDS. The Gap Report. 2014 [cited; Available from: http://www.unaids.org/en/resources/documents/2014/name,97466,en.asp[Context Link]

 

3 Mann JM. Statement at an Informal Briefing on AIDS to the 42nd Session of the United Nations General Assembly. Journal of the Royal Statistical Society Series A (Statistics in Society). 1988;151(1):131-6. [Context Link]

 

4 Weiss MG, Ramakrishna J, Somma D. Health-related stigma: rethinking concepts and interventions. Psychology, health & medicine. 2006;11(3):277-87. [Context Link]

 

5 UNAIDS. World AIDS Campaign 2002-2003: A conceptual framework and basis for action: HIV/AIDS stigma and discrimination. 2002. [Context Link]

 

6 McGrath JW. The biological impact of social responses to the AIDS epidemic. Medical anthropology. 1992;15(1):63-79. [Context Link]

 

7 Nyblade L, MacQuarrie K. Can we measure HIV/AIDS-related stigma and discrimination? Current knowledge about quantifying stigma in developing countries. 2006. [Context Link]

 

8 Genberg BL, Kawichai S, Chingono A, Sendah M, Chaliyalertsek S, Konda KA, et al. Assessing HIV/AIDS stigma and discrimination in developing countries. AIDS and behavior. 2008;12(5):772-80. [Context Link]

 

9 Visser MJ, Kershaw T, Makin JD, Forsyth BW. Development of parallel scales to measure HIV-related stigma. AIDS and behavior. 2008;12(5):759-71. [Context Link]

 

10 Jurgensen M, Sandoy IF, Michelo C, Fylkesnes K. Effects of home-based voluntary counselling and testing on HIV-related stigma: findings from a cluster-randomized trial in Zambia. Social science & medicine (1982). 2013;81:18-25. [Context Link]

 

11 Mahajan AP, Sayles JN, Patel VA, Remien RH, Sawires SR, Ortiz DJ, et al. Stigma in the HIV/AIDS epidemic: a review of the literature and recommendations for the way forward. AIDS. 2008;22 Suppl 2:S67-79. [Context Link]

 

12 Hutchinson PL, Mahlalela X. Utilization of voluntary counseling and testing services in the Eastern Cape, South Africa. AIDS care. 2006;18(5):446-55. [Context Link]

 

13 Cherutich P, Kaiser R, Galbraith J, Williamson J, Shiraishi RW, Ngare C, et al. Lack of knowledge of HIV status a major barrier to HIV prevention, care and treatment efforts in Kenya: results from a nationally representative study. PLoS One. 2012;7(5):e36797. [Context Link]

 

14 Granich RM, Gilks CF, Dye C, De Cock KM, Williams BG. Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical model. The Lancet. 2009;373(9657):48-57. [Context Link]

 

15 Fonner VA, Denison J, Kennedy CE, O'Reilly K, Sweat M. Voluntary counseling and testing (VCT) for changing HIV-related risk behavior in developing countries. Cochrane Database Syst Rev. 2012;9:CD001224. [Context Link]

 

16 Fay H, Baral SD, Trapence G, Motimedi F, Umar E, Ilipinge S, et al. Stigma, health care access, and HIV knowledge among men who have sex with men in Malawi, Namibia, and Botswana. AIDS and behavior. 2011;15(6):1088-97. [Context Link]

 

17 Young SD, Hlavka Z, Modiba P, Gray G, Van Rooyen H, Richtel L, et al. HIV-related stigma, social norms, and HIV testing in Soweto and Vulindlela, South Africa: National Institutes of Mental Health Project Accept (HPTN 043). J Acquir Immune Defic Syndr. 2010;55(5):620-4. [Context Link]

 

18 Bateganya M, Abdulwadud OA, Kiene SM. Home-based HIV voluntary counselling and testing (VCT) for improving uptake of HIV testing. Cochrane Database Syst Rev. 2010(7):CD006493. [Context Link]

 

19 Doherty T, Tabana H, Jackson D, Naik R, Zember W, Lombard C, et al. Effect of home based HIV counselling and testing intervention in rural South Africa: cluster randomised trial. BMJ. 2013;346:f3481. [Context Link]

 

20 Nuwaha F, Kasasa S, Wana G, Muganzi E, Tumwesigye E. Effect of home-based HIV counselling and testing on stigma and risky sexual behaviours: serial cross-sectional studies in Uganda. Journal of the International AIDS Society. 2012;15(2):17423. [Context Link]

 

21 Fylkesnes K, Sandoy IF, Jurgensen M, Chipimo PJ, Mwangala S, Michelo C. Strong effects of home-based voluntary HIV counselling and testing on acceptance and equity: a cluster randomised trial in Zambia. Social science & medicine (1982). 2013;86:9-16. [Context Link]

 

22 Mutale W, Michelo C, Jurgensen M, Fylkesnes K. Home-based voluntary HIV counselling and testing found highly acceptable and to reduce inequalities. BMC public health. 2010;10:347. [Context Link]

 

23 Low C, Pop-Eleches C, Rono W, Plous E, Kirk A, Ndege S, et al. The effects of home-based HIV counseling and testing on HIV/AIDS stigma among individuals and community leaders in western Kenya: evidence from a cluster-randomized trial. AIDS care. 2013;25 Suppl 1:S97-107. [Context Link]

 

24 Mulogo EM, Abdulaziz AS, Guerra R, Baine SO. Facility and home based HIV Counseling and Testing: a comparative analysis of uptake of services by rural communities in southwestern Uganda. BMC health services research. 2011;11:54. [Context Link]

 

25 Mulogo EM, Abdulaziz AS, Guerra R, Bellows B, Baine SO. Self reported risk reduction behavior associated with HIV counseling and testing: a comparative analysis of facility- and home-based models in rural Uganda. AIDS care. 2013;25(7):835-42. [Context Link]

 

26 Sabapathy K, Van den Bergh R, Fidler S, Hayes R, Ford N. Uptake of home-based voluntary HIV testing in sub-Saharan Africa: a systematic review and meta-analysis. PLoS medicine. 2012;9(12):e1001351. [Context Link]

 

27 Suthar AB, Ford N, Bachanas PJ, Wong VJ, Rajan JS, Saltzman AK, et al. Towards universal voluntary HIV testing and counselling: a systematic review and meta-analysis of community-based approaches. PLoS medicine. 2013;10(8):e1001496. [Context Link]

 

28 Coates TJ, Kulich M, Celentano DD, Zelaya CE, Chariyalertsak S, Chingono A, et al. Effect of community-based voluntary counselling and testing on HIV incidence and social and behavioural outcomes (NIMH Project Accept; HPTN 043): a cluster-randomised trial. The Lancet Global health. 2014;2(5):e267-77.

 

29 Matovu JK, Makumbi FE. Expanding access to voluntary HIV counselling and testing in sub-Saharan Africa: alternative approaches for improving uptake, 2001-2007. Trop Med Int Health. 2007;12(11):1315-22. [Context Link]

Appendix I: Appraisal instruments

 

MAStARI appraisal instrument[Context Link]

Appendix II: Data extraction instruments

 

MAStARI data extraction instrument[Context Link]

 

Keywords: HIV; Counselling and testing; Home-based; Stigma; Sexual behaviour