- Research article
- Open Access
- Open Peer Review
Investigating the impact of a community home-based care on mental health and anti-retroviral therapy adherence in people living with HIV in Nepal: a community intervention study
BMC Infectious Diseasesvolume 18, Article number: 263 (2018)
HIV-positive people often experience mental health disorders and engage in substance use when the disease progresses. In resource limited settings, mental health services are not integrated into HIV services. In Nepal, HIV-positive people do receive psychosocial support and other basic health care services from a community home-based care intervention; however, the effects of the intervention on health outcomes is not yet known. Therefore, we examined the impact of the intervention on mental health and antiretroviral therapy (ART) adherence.
We conducted an intervention study to identify the effects of a community home-based care intervention on mental health disorders, substance use, and non-adherence to ART among HIV-positive people in Nepal from March to August 2015. In total, 344 participated in the intervention and another 338 were in the control group. The intervention was comprised of home-based psychosocial support and peer counseling, adherence support, basic health care, and referral services. We measured the participants’ depression, anxiety, stress, substance use, and non-adherence to ART. We applied a generalized estimating equation to examine the effects of intervention on health outcomes.
The intervention had positive effects in reducing depressive symptoms [Adjusted Odds Ratio (AOR) = 0.44, p < 0.001)], anxiety (AOR = 0.54, p = 0.014), stress (β = − 3.98, p < 0.001), substance use (AOR = 0.51, p = 0.005), and non-adherence to ART (AOR = 0.62, p = 0.025) among its participants at six-month follow-up.
The intervention was effective in reducing mental health disorders, substance use, and non-adherence to ART among HIV-positive people. Community home-based care intervention can be applied in resource limited setting to improve the mental health of the HIV-positive people. Such intervention should be targeted to include more HIV-positive people in order to improve their ART adherence.
HIV-positive people often endure poor mental health status and have inadequate access to health services . Such mental health status may become chronic when they do not have access to appropriate services for screening and treatment [2, 3]. Specifically, many of them frequently experience various mental health disorders and engage in substance use when the HIV infection progresses [4,5,6,7]. Consequently, such conditions negatively affect their adherence to antiretroviral therapy (ART) [8, 9].
Community-based psychosocial support may be an integral part of care and support services for HIV-positive people in low- and middle-income countries (LMICs). To address their need for psychosocial support, the World Health Organization (WHO) provided guidelines to improve these individuals’ mental health . The guidelines recommend that HIV-positive people, their families, and their caregivers receive psychosocial support at the family and community level. Such psychosocial support may contribute to improvements in the health and treatment outcomes of HIV-positive people .
Various community-based psychosocial support programs have improved health outcomes of HIV-positive people in LMICs [12, 13]. In Peru, for instance, HIV-positive people improved their mental health status when they received emotional and economic support from volunteer health workers at health facilities . Similarly, community-based support improved ART adherence in Brazil . However, these services were mostly facility-based and did not involve the home as a place for care and support; the efficiency and impact of community home-based care may be even greater in comparison .
Only limited data are available about the roles of community home-based care programs in improving health outcomes of HIV-positive people. In Vietnam, HIV-positive people improved their quality of life when they received peer support at their homes . Home-based psychosocial support by field officers also improved ART adherence in Uganda , and home-based care delivered through nurses improved ART adherence in China .
However, looking at the WHO guidelines for community home-based care, little is known about the effects of essential components of care for HIV-positive people . If all the essential components of care recommended by these guidelines (i.e., psychosocial support and counseling, ART adherence support and counseling, peer counseling, basic health care for opportunistic infections and sexually transmitted infection, and referral linkage of HIV-positive people and their families with health service providers) were to be included in a community home-based care intervention, it would be more effective.
Nepal has promised to provide basic mental health services at the community level. Such services, however, are still inadequate there . Additionally, mental health services are not integrated into HIV programs in the country. However, these services are necessary because HIV-positive people have high prevalence of mental health disorders and substance use in Nepal. Among them, 25% experience depressive symptoms and 15% engage in substance use .
To fill this gap, a community home-based care intervention in Nepal provides HIV-positive people with care and support services. The program team is comprised of a community health worker, a trained HIV-positive person, and a social worker. The team conducts a monthly home-visit to provide psychosocial support and peer counseling, ART adherence support and counseling, basic health care, and referral for further care . The program is unique, voluntary, and need-based. It includes HIV-positive people for peer counseling, links HIV-positive people to health service providers, and reduces physician and transportation cost.
Since the inception of community home-based care intervention, our study is the first to examine the effects that this program has had in improving mental health outcomes. We first examined the effects of a community home-based care program in reducing depressive symptoms, anxiety, stress, and substance use among HIV-positive people after 6 months. Second, we examined its effects in reducing the participants’ non-adherence to ART in Nepal.
Study design and settings
This community-based intervention study was conducted in Nepal from March to August 2015. About 28 million people live in the country, including 39,249 HIV-positive people as of 2015 . Of them, 11,089 received ART in the same year. The intervention participants were evaluated at the beginning of the study and then followed up with after 6 months. The control group received regular services whereas the intervention participants were enrolled in community home-based care intervention.
Sampling strategy and participants
Sample size was calculated using G*Power software. Prevalence of non-adherence to ART was taken as 21% among HIV-positive people who received community-based psychosocial support as a reference . We considered 10% difference in outcome as non-adherence to ART among HIV-positive people who received psychosocial support from those who did not receive the support . Assuming P-value for significant of less than 0.05 (two-tailed) and the power of 0.80, the calculated sample size was 638 (intervention: 319 and control: 319). A total of 682 (intervention: 344 and control: 338) participants were recruited in this study out of 720 reached.
A convenience sampling method was adopted to select the study districts and the participants. Out of 23 districts in Nepal with high prevalence of HIV, 12 districts had a community home-based care program, and the remaining 11 districts had mutual support groups of HIV-positive people . Mutual support groups are informal group among HIV-positive people who support each other in the group for routine HIV services such as helping HIV-positive people to approach ART centers and supporting those who were excluded in the community. The support group is an informal association of HIV-positive people.
Participants of the intervention group were purposively selected out of those who had voluntarily agreed to enroll in a community home-based care program from three districts: Kathmandu, Kaski, and Bake. Participants for the control group were purposively selected from the two districts Palpa and Nuwakot out of the 11 that had mutual support groups of HIV-positive people. In total, 682 (intervention: 344 and control: 338) participants were recruited in this study. The inclusion criteria for study participants were as follows:
The intervention group included HIV-positive people who a) had been diagnosed as HIV positive within 5 years of baseline data collection, b) had been receiving ART for at least 1 year, c) had been referred by an ART center or a voluntary counseling and testing (VCT) center, and d) had voluntarily agreed to enroll in a community home-based care program.
The control group included HIV-positive people who received routine ART medication and support services and who a) had been diagnosed as HIV positive within 5 years within the baseline data collection, b) were accessible through their mutual support groups, c) were living in the districts that did not have a community home-based care program, and d) had been receiving ART for at least 1 year. Among them, those who were below 18 years of age at the time of data collection were excluded from the study.
The intervention group received services from a comprehensively designed community home-based care program. The intervention was started on March 1, 2015, and was completed on August 31, 2015. The program was comprised of psychosocial support and peer counseling, ART adherence support and counseling, basic health care, and referral for further care. The support team was comprised of a community health worker, a trained HIV-positive person, and a social worker. The team received 5 days of training from a community home-based care network to improve their skills on home-based palliative care and psychosocial support. The program team performed monthly home-visits and spent at least 2 h at the homes of HIV-positive people to provide services.
In each home-visit, the program team performed comprehensive care and support services for the intervention group. Regarding psychosocial support, the trained team provided individual counseling, family counseling, and spousal counseling. A trained HIV-positive person was involved in each team to provide peer counseling and support. The participants received counseling on coping skills for the side effects of treatment, stress management, and self-care skills for physical symptoms. Substance users also received addiction and harm reduction counseling from a HIV-positive peer.
The intervention group received basic health care for opportunistic infections and STIs from a community health worker. The participants also received ART adherence support and counseling. To prevent the participants from missing pills, the team carefully checked the number of pills they had taken in the past month. A social worker in the team also helped them to manage their social issues and encouraged them to engage in HIV support services. For severe and unmanageable cases, the team referred them to further care in health facilities and for opioid substitution therapy.
Mental health disorders
We used the Center for Epidemiologic Studies Depression (CESD) Scale to measure depressive symptoms that the participants had experienced in the past week . The scale has 20 items and each item’s score ranges from 0 (for answers ranging from never to less than 1 day) to 3 (for answers including most of or all of the time (5–7 days)). The total score ranges from 0 to 60. Participants were considered to have depressive symptoms when they had scores of 16 or over . This measure is widely used among HIV-positive people in various countries including Nepal . In this study, its Cronbach’s alpha was 0.88.
We measured anxiety using Composite International Diagnostic Interview Short-Form (CIDI-SF) , which is a brief scale that has been applied in Nepal . We used nine screening stem questions to identify the participants’ episodes of anxiety and difficulties in controlling their worries. We also asked about the presence of symptoms among those who answered in the affirmative to nine screening items. If participants had had more than three symptoms in the past month, we considered them as having anxiety.
We measured participants’ stress levels using Cohen’s Perceived Stress Scale (PSS). We asked participants whether they had had difficulties in coping with the difficulties in the past month using a 10-item scale. The items are in a Likert form and each item’s score ranges from “0” (never) to 4 (very often) and gives a total score range of 0–40 . Having a higher score indicates a higher level of stress. This scale has already been tested and used in Nepal . In this study, its Cronbach’s alpha was 0.82.
We considered the participants as being a substance user if they reported use of an illicit substance at least once since their enrollment . The list of illicit substances primarily included marijuana (cannabis), opium, non-prescriptive drugs, buprenorphine, diazepam, valium, amphetamines, and prescriptive drugs used without the advice of physician or psychiatrist.
We considered participants as non-adherent if they missed at least one dose in the past month of data collection by using adult AIDS clinical trial group (ACTG) questionnaires to assess the adherence .
Characteristics related to a community home-based care program
We collected the information about the use of services from a community home-based care program, using the questionnaires of standard operating procedures for these programs .
Sociodemographic and health related characteristics
The research team interviewed the participants about their age, gender, marital status, education, employment, and physical symptoms. Physical symptoms included opportunistic infections other than mental health complaints, such as cough, fever, diarrhea, herpes, etc..
We obtained the information about the participants’ HIV-clinical staging from ART centers. We categorized the first and second clinical stages as early stage and the third and fourth stages as advanced stage .
Procedure for data collection
We conducted a pretesting of questionnaires among 48 HIV-positive participants in Kathmandu Valley. The questionnaires were reviewed, analyzed and modified. At baseline, we interviewed 682 (intervention: 344 and control: 338) participants. We interviewed 655 (intervention: 329 and control: 326) participants at the follow-up. The follow-up of the participants was made through the service centers. We could not reach 27 participants (intervention: 12 and control: 15) at the follow-up out of total baseline participants. The participants could not be reached perhaps because of the termination of services by them, death, or another incident.
We compared mental health disorders, substance use, and non-adherence to ART using chi-squared tests between the intervention and control groups. We used a generalized estimating equation (GEE) to examine the average population effects of the intervention on the outcome variables after 6 months of follow-up.
We developed five separate GEE models to examine the effects of a community home-based care program for five outcome variables. The variables included depressive symptoms, anxiety, stress levels, substance use, and non-adherence to ART. In all the models, we controlled for age, gender, education, marital status, employment status, HIV-clinical staging, and presence of physical symptoms. We set the statistical significance at p < 0.05 and used STATA 12 for data analyses.
The Research Ethics Committee of the Graduate School of Medicine, the University of Tokyo and the Nepal Health Research Council (approval no. 1523/2015) approved this study. We required participants’ informed consent to participate in the study. Some participants who were unable to write their name provided their thumbprints in a designated consent form. We preserved the participants’ confidentiality of information and ensured that participation was voluntary. When we found participants with severe mental illness, we referred them to support agencies and health facilities. In addition, we provided a transportation cost of NRs. 150 ($1.41) to each participant as compensation.
Baseline characteristics of intervention and control participants
Of the 682 participants, 344 (50.4%) enrolled in a community home-based care program and 338 (49.6%) were in mutual support groups. The mean age of participants in the intervention group was 36.3 years and 36.1 years in the control group was. In the intervention group, 53.1% were male and in the control group, 51% were male. At baseline, the intervention and control groups had similar characteristics for age (mean: 36.2 vs. 36.3, p = 0.730], gender (53.2% male vs. 50.6%, p = 0.149), having primary education or above (41.3% vs. 43.5, p = 0.559), marital status (84.0% unmarried vs. 78.4%, p = 0.061), and employment status (36.3% employed vs. 32.3%). Moreover, the intervention and control group had similar characteristics of being in advanced HIV-clinical stage (19.9% vs. 13.9%, p = 0.063) and having the presence of physical symptoms (23.5% vs. 19.2%, p = 0.170) (Table 1).
Mental health disorders, substance use, and ART non-adherence of intervention and control participants at baseline and follow-up
At baseline, of the 682 participants, 202 (29.6%) had depressive symptoms, 105 (15.4%) had anxiety, 125 (18.3%) used substances, and 185 (27.1%) were non-adherent. Among them, 48 (26.0%) were people who inject drugs. The intervention and control group had similar presence of depressive symptoms (29.7% vs. 29.6%, p = 0.937), anxiety (14.8% vs. 16.0%, p = 0.677), stress scores (mean: 16.5 vs. 15.7, p = 0.128), substance use (20.1% vs. 16.6%, p = 0.239), and non-adherence to ART (28.8, 25.4%, p = 0.959).
On the other hand, of the 655 participants at the six-month follow-up, 144 (22.0%) had depressive symptoms, 76 (11.6%) had anxiety, 81 (12.4%) used substances, and 125 (19.0%) were non-adherent. Compared with the control groups, the intervention groups had lower prevalence of having depressive symptoms (24.9% vs. 19.2%, p = 0.048), anxiety (14.4% vs. 8.8, p = 0.025), levels of stress (mean: 12.5 vs. 14.9, p < 0.001), substance use (15.3% vs. 9.4%, p = 0.021), and non-adherence to ART (23.9% vs. 14.3%, p = 0.002) at the six- month follow-up (Table 2).
Effects of intervention to reduce depressive symptoms, anxiety, and stress scores at six-month follow-up
The intervention was effective in reducing the prevalence of having depressive symptoms by 56% (AOR = 0.44, 95% CI = 0.30, 0.64, p < 0.001) and anxiety by 46% (AOR = 0.54, 95% CI = 0.33, 0.88, p = 0.014) in the intervention group compared with the control group at the six-month follow-up. Also, it significantly reduced stress scores (β = − 3.98, p < 0.001) in the intervention group compared with the control group at the six-month follow-up. Advanced HIV-clinical stage was positively associated with the presence of depressive symptoms (AOR = 3.94, 95% CI = 1.91, 5.96, p = 0.001) and increased stress scores (β = 2.21, p = 0.001) (Table 3).
Effects of intervention to reduce substance use at six-month follow-up
The intervention reduced the prevalence of substance use by 49% (AOR = 0.51, 95% CI = 0.31, 0.81, p = 0.005) in the intervention group compared with the control group. At the 6 month follow-up, men were more likely to be using substances (AOR = 1.49, 95% CI = 1.06, 2.10, p = 0.045) compared to women (Table 4).
Effects of intervention to reduce non-adherence to ART at six-months follow-up
The intervention significantly reduced the non-adherence to ART by 38% (AOR = 0.62, 95% CI = 0.41, 0.95, p = 0.025) in the intervention group compared with the control group. Participants were more likely to be non-adherent to ART when they experienced depressive symptoms (AOR = 1.47, 95% CI = 1.04, 2.07, p = 0.025). Increases in stress scores were positively associated with non-adherent to ART (AOR = 1.05, 95% CI = 1.03, 1.08, p < 0.001).
Participants were more likely to be non-adherent to ART when they used substances (AOR = 1.73, 95% CI = 1.24, 2.41, p = 0.001) compared with those who did not use substances. Employed or self-employed participants were less likely to be non-adherent to ART (AOR = 0.63, 95% CI = 0.44, 0.92, p = 0.016) compared to employed ones (Table 5).
This study revealed for the first time the positive roles of a community home-based care intervention to reduce depressive symptoms, anxiety, and stress levels of its participants after 6 months of follow-up in LMICs. The intervention was also effective in reducing the participants’ substance use and non-adherence to ART.
The community home-based care program was effective in reducing the prevalence of having depressive symptoms, anxiety and stress levels among its participants. HIV-positive people received social and emotional supports during home-visits, which may have helped them overcome their psychological problems [34, 35]. Home-based family counseling may have also improved their interpersonal relationship in family leading to their psychosocial wellbeing . Moreover, they may have improved their coping skills and self-help skills when they were motivated by the home-visit to engage in self-help groups to receive psychosocial support [14, 37]. They may have developed their positive feelings when they received spiritual and religious support and counseling from the team .
The program was also effective in reducing substance use among its participants at the six-month follow-up. Peer support and counseling is another essential component of a community home-based care program. Peer counseling may have helped the participants to improve their coping and self-care skills as they had better trust and satisfaction towards their HIV-positive peers . They may have reduced their risk of substance use when they received peer support for psychological distress risk reduction counseling for substance use [40, 41]. Also, they may have improved their health-seeking behaviors on substance use treatment when they received support from their peers at the home-visits . Peer counseling also helps HIV-positive people to develop adaptive and religious coping skills which may reduce their substance use behavior .
The program had significant effects in reducing non-adherence to ART among its participants at the six-month follow-up. The program team carefully checked the number of consumed pills out of the number of prescribed pills. HIV-positive people may have improved their adherence when the home visit team helped their use of memory aids . They also received better family support about the time of taking pills and self-care skills for the side effects of ART . They received individual counseling on coping with the side effects of ART, stress, and adjustment against physical symptoms that may have helped them adhere to the treatment . Seeking regular psychosocial support may have also improved ART adherence . During the visits, they also may have had an opportunity to share their experiences and to learn from their peers [43, 47]. Contrary to this result, peer health workers’ support did not improve adherence to ART among HIV-positive people in Uganda .
This study has two main limitations. First, as participants reported their characteristics using self-reported questionnaires, the results might have been influenced by social desirability bias. To minimize this, the research team interviewed the participants in a private place. Second, the allocation of the participants to intervention and control group is also a limitation. The intervention effects might have been influenced by ongoing routine health services. Participants, however, had similar baseline characteristics for the intervention and control groups. For our analysis, we controlled the factors related to services, sociodemographics, and HIV-staging. Moreover, in selecting the participants, we selected those who were diagnosed within 5 years and those who were referred from the ART centers.
Despite these limitations, this is the first study to show the positive effects of a comprehensively designed community home-based care program on mental health and ART adherence in a resource-limited setting. Also, this study had a low attrition rate of 4%, which implies that the result might not have been much influenced by losing participants in the follow-up stage. The program is also topical and appropriate in resource-limited settings as it is peer-focused intervention.
The intervention was effective in reducing depressive symptoms, anxiety, and the stress levels of its participants after the six-month follow-up. It was also effective in reducing their substance use and non-adherence to ART. As such evidence is limited in resource-limited settings, this study provided additional evidence about positive outcomes of a community home-based intervention in reducing anxiety and stress along with depressive symptoms. Additionally, as peer counseling was a unique component of this intervention, this study demonstrated that it was effective in reducing substance use among its participants. The results highlight that the program should be promoted as an essential component of care and support for HIV-positive people to address their mental health, substance use, and non-adherence in Nepal, and it should also be considered in other resource limited settings.
Acquired immune deficiency syndrome
Human immunodeficiency virus
Collins PY, Holman AR, Freeman MC, Patel V. What is the relevance of mental health to HIV/AIDS care and treatment programs in developing countries? A systematic review. AIDS. 2006;20:1571–82.
Olisah VO, Baiyewu O, Sheikh TL. Depression underdiagnosis and the effects on quality of life in outpatients with HIV at a Nigerian university teaching hospital. Afr J AIDS Res. 2011;10:247–54.
Freeman M, Patel V, Collins PY, Bertolote J. Integrating mental health in global initiatives for HIV/AIDS. Br J Psychiatry. 2005;187:1–3.
Memiah P, Shumba C, Etienne-Mesubi M, Agbor S, Hossain MB, Komba P, et al. The effect of depressive symptoms and CD4 count on adherence to highly active antiretroviral therapy in sub-Saharan Africa. J Int Assoc Provid AIDS Care. 2014;13:346–52.
Wakawa IA, Said JM, Abba WM, Shehu S, Rabbebe IB, Beida O. The impact of comorbid clinical depression on the health-related quality of life of adults on highly active antiretroviral therapy in Maiduguri, Northeastern Nigeria. Indian J Psychol Med. 2014;36:408–17.
Lucas GM, Cheever LW, Chaisson RE, Moore RD. Detrimental effects of continued illicit drug use on the treatment of HIV-1 infection. J Acquir Immune Defic Syndr. 2001;27:251–9.
Pence BW, Miller WC, Gaynes BN, Eron JJ. Psychiatric illness and virologic response in patients initiating highly active antiretroviral therapy. J Acquir Immune Defic Syndr. 2007;44:159–66.
Azar MM, Springer SA, Meyer JP, Altice FL. A systematic review of the impact of alcohol use disorders on HIV treatment outcomes, adherence to antiretroviral therapy and health care utilization. Drug Alcohol Depend. 2010;112:178–93.
Springer SA, Dushaj A, Azar MM. The impact of DSM-IV mental disorders on adherence to combination antiretroviral therapy among adult persons living with HIV/AIDS: a systematic review. AIDS Behav. 2012;16:2119–43.
World Health Organization. Psychosocial support. Geneva: WHO; 2010.
Amirkhanian YA, Kelly JA, McAuliffe TL. Psychosocial needs, mental health, and HIV transmission risk behavior among people living with HIV/AIDS in St Petersburg, Russia. AIDS. 2003;17:2367–74.
Wu L, Li X. Community-based HIV/AIDS interventions to promote psychosocial well-being among people living with HIV/AIDS: a literature review. Health Psychol Behav Med. 2013;1:31–46.
Kabore I, Bloem J, Etheredge G, Obiero W, Wanless S, Doykos P, et al. The effect of community-based support services on clinical efficacy and health-related quality of life in HIV/AIDS patients in resource-limited settings in sub-Saharan Africa. AIDS Patient Care STDs. 2010;24:581–94.
Muñoz M, Bayona J, Sanchez E, Arevalo J, Sebastian JL, Arteaga F, et al. Matching social support to individual needs: a community-based intervention to improve HIV treatment adherence in a resource-poor setting. AIDS Behav. 2011;15:1454–64.
Basso CR, Helena ET, Caraciolo JM, Paiva V, Nemes MI. Exploring ART intake scenes in a human rights-based intervention to improve adherence: a randomized controlled trial. AIDS Behav. 2013;17:181–92.
World Health Organization. Community Home-based care in resource-limited settings. A framework for action. Geneva: WHO; 2002.
Van Tam V, Larsson M, Pharris A, Diedrichs B, Nguyen HP, Nguyen CT, et al. Peer support and improved quality of life among persons living with HIV on antiretroviral treatment: a randomised controlled trial from North-Eastern Vietnam. Health Qual Life Outcomes. 2012;10:53.
Weidle PJ, Wamai N, Solberg P, Liechty C, Sendagala S, Were W, et al. Adherence to antiretroviral therapy in a home-based AIDS care programme in rural Uganda. Lancet. 2006;368(9547):1587–94.
Wang H, Zhou J, Huang L, Li X, Fennie KP, Williams AB. Effects of nurse-delivered home visits combined with telephone calls on medication adherence and quality of life in HIV-infected heroin users in Hunan of China. J Clin Nurs. 2010;19:380–8.
Ministry of Health and Population Nepal. WHO-AIMS report on Mental health system in Nepal. Kathmandu: MoHP; 2006.
Amiya RM, Poudel KC, Poudel-Tandukar K, Pandey BD, Jimba M. Perceived family support, depression, and suicidal ideation among people living with HIV/AIDS: a cross-sectional study in the Kathmandu Valley, Nepal. PLoS One. 2014;9:e90959.
National Centre for AIDS and STD Control, Ministry of Health and Population. Community and Home-based Care in Nepal. Kathmandu: MoHP; 2008.
National Centre for AIDS and STD Control, Ministry of Health and Population. Cumulative situation of HIV in Nepal. Kathmandu: MoHP; 2014.
National Centre for AIDS and STD Control, Ministry of Health and Population. Country progress report on HIV/AIDS response, Nepal, 2014. Kathmandu: MoHP; 2014.
Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401.
Eller LS, Mahat G. Predictors of life satisfaction in HIV-positive Nepali women. J Assoc Nurses AIDS Care. 2007;18(5):17–26.
Kessler RC, Andrews G, Mroczek D, Ustun TB, Wittchen H-U. The World Health Organization Composite International Diagnostic Interview Short Form (CIDI-SF). Int J Methods Psychiatr Res. 1998;7:171–85.
Ghimire DJ, Chardoul S, Kessler RC, Axinn WG, Adhikari BP. Modifying and validating the Composite International Diagnostic Interview (CIDI) for use in Nepal. Int J Methods Psychiatr Res. 2013;22:71–81.
Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24:385–96.
Eller LS, Mahat G. Psychological factors in Nepali former commercial sex workers with HIV. J Nurs Scholarsh. 2003;35:53–60.
Family Health International, Nepal; National Centre for AIDS and STD Control, Ministry of Health and Population. Integrated biological and behavioral survey (IBBS) among male injecting drug users (IDUs). Kathmandu: FHI Nepal; 2010. p. 87.
Chesney MA, Ickovics JR, Chambers DB, Gifford AL, Neidig J, Zwickl B, et al. Self-reported adherence to antiretroviral medications among participants in HIV clinical trials: the AACTG adherence instruments. Patient Care Committee & Adherence Working Group of the Outcomes Committee of the Adult AIDS Clinical Trials Group (AACTG). AIDS Care. 2000;12:255–66.
World Health Organization. Interim WHO clinical staging of HIV/AIDS and HIV/AIDS case definitions for survellance. Geneva: WHO; 2014.
Li L, Lee SJ, Thammawijaya P, Jiraphongsa C, Rotheram-Borus MJ. Stigma, social support, and depression among people living with HIV in Thailand. AIDS Care. 2009;21:1007–13.
Prachakul W, Grant JS, Keltner NL. Relationships among functional social support, HIV-related stigma, social problem solving, and depressive symptoms in people living with HIV: a pilot study. J Assoc Nurses AIDS Care. 2007;18:67–76.
Stangl AL, Lloyd JK, Brady LM, Holland CE, Baral S. A systematic review of interventions to reduce HIV-related stigma and discrimination from 2002 to 2013: how far have we come? J Int AIDS Soc. 2013;16(3 Suppl 2):18734.
Gordillo V, Fekete E, Platteau T, Antoni MH, Schneiderman N, Nöstlinger C, et al. Emotional support and gender in people living with HIV: effects on psychological well-being. J Behav Med. 2009;32:523–31.
Uys LR. The practice of community caregivers in a home-based HIV/AIDS project in South Africa. J Clin Nurs. 2002;11:99–108.
Molassiotis A, Callaghan P, Twinn SF, Lam SW, Chung WY, Li CK. A pilot study of the effects of cognitive-behavioral group therapy and peer support/counseling in decreasing psychologic distress and improving quality of life in Chinese patients with symptomatic HIV disease. AIDS Patient Care STDs. 2002;16(2):83–96.
Naar-King S, Kolmodin K, Parsons JT, Murphy D, ATN 004 Protocol Team Adolescent Trial Network 004 Protocol Team for HIV/AIDS Intervention. Psychosocial factors and substance use in high-risk youth living with HIV: a multi-site study. AIDS Care. 2010;22:475–82.
Chawarski MC, Zhou W, Schottenfeld RS. Behavioral drug and HIV risk reduction counseling (BDRC) in MMT programs in Wuhan, China: a pilot randomized clinical trial. Drug Alcohol Depend. 2011;115:237–9.
Pence BW, Thielman NM, Whetten K, Ostermann J, Kumar V, Mugavero MJ. Coping strategies and patterns of alcohol and drug use among HIV-infected patients in the United States Southeast. AIDS Patient Care STDs. 2008;22:869–77.
Gusdal AK, Obua C, Andualem T, Wahlstrom R, Chalker J, Fochsen G, et al. Peer counselors’ role in supporting patients’ adherence to ART in Ethiopia and Uganda. AIDS Care. 2011;23:657–62.
Power R, Koopman C, Volk J, Israelski DM, Stone L, Chesney MA, et al. Social support, substance use, and denial in relationship to antiretroviral treatment adherence among HIV-infected persons. AIDS Patient Care STDs. 2003;17:245–52.
Johnson MO, Charlebois E, Morin SF, Remien RH, Chesney MA, Team NIoMHHLP. Effects of a behavioral intervention on antiretroviral medication adherence among people living with HIV: the healthy living project randomized controlled study. J Acquir Immune Defic Syndr. 2007;46:574–80.
Attonito J, Dévieux JG, Lerner BD, Hospital MM, Rosenberg R. Antiretroviral treatment adherence as a mediating factor between psychosocial variables and HIV viral load. J Assoc Nurses AIDS Care. 2014;25:626–37.
Welch KJ. Correlates of alcohol and/or drug use among HIV-infected individuals. AIDS Patient Care STDs. 2000;14:317–23.
Chang LW, Kagaayi J, Nakigozi G, Ssempijja V, Packer AH, Serwadda D, et al. Effect of peer health workers on AIDS care in Rakai, Uganda: a cluster-randomized trial. PLoS One. 2010;5:e10923.
The authors gratefully acknowledge personnel from National Centre for AIDS and STDs Control, NGOs, and ART Centers in the study area. We also owe to HIV-positive people who voluntarily participated and provided the necessary information for this study. We are also equally grateful to Ms. Allison Hight for her kind support in editing English of this manuscript.
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available due [Data contains linkage ID of personal information of HIV-positive people and intervention related confidential information of] but are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
NA (No images, videos, and individual details of the participants are presented)
The authors declare that they have no competing interests.
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