Literature DB >> 28969432

HIV Self-Testing in Lusaka Province, Zambia: Acceptability, Comprehension of Testing Instructions, and Individual Preferences for Self-Test Kit Distribution in a Population-Based Sample of Adolescents and Adults.

Arianna Zanolini1,2, Jenala Chipungu1, Michael J Vinikoor1,3,4, Samuel Bosomprah1, Mazuba Mafwenko1,2, Charles B Holmes5, Harsha Thirumurthy6.   

Abstract

We assessed attitudes and preferences toward HIV self-testing (HIVST) among Zambian adolescents and adults. We conducted a population-based survey of individuals aged 16-49 years old in Lusaka Province, Zambia. HIVST was shown to participants through a short video on oral fluid-based self-testing. In addition to demographics, HIV risk perceptions, and HIV testing history, we assessed participants' acceptability and concerns regarding HIVST. Using a discrete choice experiment, we investigated preferences for the location of self-test pickup, availability of counseling, and cost. After reviewing an instructional sheet or an additional video, we assessed participants' understanding of self-test performance. Among 1617 participants, 647 (40.0%) were male, 269 (16.6%) were adolescents and 754 (46.6%) were nontesters (i.e., no HIV test in the past 12 months). After viewing the video, 1392 (86.0%) reported that HIVST would make them more likely to test and while 35.0% reported some concerns with HIVST, only 2% had serious concerns. Participants strongly preferred HIVST over finger prick testing as well as having counseling and reported willingness to pay out-of-pocket (US$3.5 for testers and US$5.5 for nontesters). Viewing an HIVST demonstration video did not improve participant understanding of self-test usage procedures compared to an instructional sheet alone, but it increased confidence in the ability to self-test. In conclusion, HIVST was highly acceptable and desirable, especially among those not accessing existing HIV testing services. Participants expressed a strong preference for counseling and a willingness to pay for test kits. These data can guide piloting and scaling-up of HIVST in Zambia and elsewhere in Africa.

Entities:  

Keywords:  Africa; HIV prevention; HIV self-testing; HIV/AIDS; discrete choice experiment; population-based survey

Mesh:

Substances:

Year:  2017        PMID: 28969432      PMCID: PMC5863088          DOI: 10.1089/AID.2017.0156

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


Introduction

Low uptake of HIV testing services in sub-Saharan Africa (SSA) is among the main barriers to achieving the 90-90-90 targets established by UNAIDS[1] and to realizing the promise of HIV treatment as prevention.[2] About 50% of HIV-positive persons in SSA are unaware of their HIV status, and awareness is particularly low among men.[1] While approaches that bring testing services into communities may overcome standard barriers to clinic-based testing,[3,4] there remains a need for additional testing approaches that can be accessed by otherwise hard-to-reach segments of the population and that can facilitate more frequent testing.[4,5] HIV self-testing (HIVST) is a promising approach that can address multiple barriers associated with HIV testing.[6-8] Self-tests, which enable individuals to test themselves for HIV privately and at their own convenience, can circumvent a number of structural, psychosocial, and health systems barriers to HIV testing. A growing number of studies have begun to show that HIVST is highly acceptable in various populations and settings.[9-11] Simple oral fluid-based tests have achieved high sensitivity and specificity, prompting several countries in SSA to develop policies for implementation and support of HIVST.[12] Several countries have begun to explore ways to make self-tests more widely available and the World Health Organization is preparing HIVST guidelines.[13] However, country-specific evidence on acceptability as well as optimal pricing and distribution strategies for HIVST remain lacking. In particular, data are needed to inform decisions regarding ideal delivery strategies and the implications of alternative packaging and pricing on self-test uptake. In Zambia, where HIV testing coverage remains below the UNAIDS' target, the Ministry of Health (MoH) has called for investigation of HIVST as a new approach to improve uptake of HIV testing.[14,15] Understanding HIVST preferences of individuals who are less likely to have tested for HIV in the past is particularly important to maximize the impact of HIVST scale-up. Given the challenge of conducting controlled trials to evaluate the effects of alternative prices and other “attributes” of HIVST, discrete choice experiments (DCE) may be useful for informing policy decisions about such new technologies. DCEs have previously been used to assess preferences for various new technologies or services.[16,17] To guide HIVST policy in Zambia and the region we conducted a population-based survey of HIVST acceptability among adolescents and adults and utilized a DCE to understand preferences regarding HIVST delivery.

Materials and Methods

Study design and participants

The study was conducted in urban and rural areas of Zambia's largest province, Lusaka Province, which has a population of 2.1 million and adult HIV prevalence of 16.3%.[18] A two-stage sampling strategy was used to select survey participants. First, we selected 13 Census Supervisory Areas (CSAs) in Lusaka urban district and 4 CSAs in rural districts using probability proportional to size sampling. We used the 2010 Zambian Census to inform our sampling strategy and to define the boundaries of each district. In each selected CSA, research assistants approached 100 households using either the linear or the spiral approach (approaches used routinely in the census) depending on the geographical distribution of households and approached every third house starting from a place in a randomly selected subdivision of the CSA. Within each household, research assistants selected one person aged 16–49 years using a computer-generated list of random numbers. In the event that the selected person was not at home, a maximum of three repeat visits were attempted before dropping the observation to obtain complete data. Written informed consent was obtained from each participant.

Data collection procedures

We used a structured survey questionnaire to measure participant demographic characteristics, HIV testing history, knowledge of available HIV services, self-reported sexual behavior, and HIV risk perceptions. The survey was administered in the preferred languages of participants (Nyanja, Bemba, Tonga, or English) and data were collected on tablet computers that were equipped with a SIM card and data plan to transmit data back to the central server. Research assistants carried solar chargers to maintain tablet power in field settings. HIVST was not available in Zambia at the time of data collection. Therefore, research assistants first showed participants a professionally developed video to introduce the concept of HIVST. Use of the video allowed us to standardize the information provided to participants and limit interviewer-specific discrepancies in the content and quality of information provided. In the video an oral fluid-based HIV test was demonstrated (OraQuick Advance HIV-I/2; OraSure Technologies, Bethlehem, PA). After watching the video, participants were administered a series of questions to assess their demand for self-tests and their concerns about HIVST. Research assistants also administered a DCE, a methodology used to elicit individuals' preferences. In a typical DCE conducted in healthcare settings, participants choose between two or more products, services, or models of healthcare, some of which may be hypothetical ones. The assumptions behind DCE are that the participant's choice of a model reveals his or her preference, and that preference for a model can be broken up into preferences for the attribues that define that model. Each model is defined by a few attributes that can take different levels in each model. As participants choose between models with varying attributes, they reveal their preference for each of these attributes. In our study, the DCE consisted of nine questions and in each question participants were given three models, one of which was considered the standard, and asked to chose the one that would would make them more likely to test for HIV in the next 6 months. Those who reported taking an HIV test in the past year were given two HIVST options and a standard option that included fingerprick HIV testing in a facility (i.e., HIV testing standard of care in Zambia). Nonregular testers (i.e., no HIV test in past year) were given two HIVST models with the third option being not taking an HIV test. After piloting, we decided to use pictures to represent attributes. An example question is shown (Supplementary Fig. S1; Supplementary Data are available online at www.liebertpub.com/aid). Based on discussions with the Zambian MoH, HIV testing experts, and community representatives, we included the following attributes in the DCE: location to obtain a self-test [at voluntary counseling and testing (VCT) located in a health facility, at a health facility's outpatient pharmacy, or at a community private pharmacy], cost [free, 1.5 U.S. dollar (USD), or 3.5 USD], and whether counseling was available (yes or no; Supplementary Fig. S1). Using a D-efficient design[19,20] we created a blocked design with two versions (one for “testers” and one for “non-testers”) each containing nine questions. Finally, participants were asked questions that examined their comprehension of how to correctly use self-tests after being shown intructions in two ways. First, participants were given ∼1 min to review an instructional sheet with visual aids adapted from one originally developed for the Thailand market and previously used in research in Kenya.[21] Then, at random, half the participants were additionally allowed to view a 1-min video produced for the study that featured a woman demonstrating how to use an oral fluid-based HIV test (Oraquick HIV-1/2 antibody test; OraSure Technologies). All participants were subsequently asked how confident they were that they understood how to do the test. A 9-item questionnaire was used to objectively assess their understanding. Participants in both groups were allowed to review the instructional sheet when responding.

Statistical analyses

We described participants' responses through means and standard deviations, and we also compared means across different strata to tests whether certain sub-groups had distinct HIVST preferences. Acceptability was defined as responding “very comfortable” or “comfortable” in three questions asking about level of comfort with using a self-test, in giving it to friends, and in giving a self-test to someone whom they know. Understanding of the instructions was measured as mean and standard deviation in a 9-item comprehension test with open and multiple choices (Supplementary Table S1). Using probability weighting, we weighted data to ensure representativeness. We described acceptability by summarizing participants' responses to questions about their own comfort level with and likelihood of using a self-test, as well as their perceptions about the comfort level of others with HIVST. Participants' preferences for HIVST and the relative weights given to various attributes of HIVST were examined by analyzing responses to the DCE. We analyzed DCE data using mixed logit regression with a random coefficient model and allowed the attribute of counseling to vary between participants. We verified robustness of results using conditional logits. Estimated coefficients were interpreted as the marginal change in utility from altering the attribute. Larger coefficients for an attribute implied stronger preferences for that attribute, with other factors being constant. Cost was included as a categorical variable, but also analyzed as continuous when calculating willingness to pay, in line with previous DCE literature. We calculated willingness to pay for self-tests as the inverse of the ratio between the coefficient for presence of self-testing in the model and cost. The mixed logit model was chosen because it allows for heterogeneity of preferences and is advisable when questions are clustered at the participant level. It also does not make the assumption of independence of irrelevant alternatives. The percentage of participants with a positive preference for HIVST and counseling was calculated using the value of the cumulative standard normal for the ratio between the coefficient and the standard deviation of the coefficient. During data collection, 1 USD was equal to 7 Zambian Kwacha (ZMW). Finally, participants' understanding of how to use self-tests was interpreted by calculating the proportion who felt comfortable using self-tests and summing the responses to the nine knowledge assessment questions. Mean scores were compared for the two groups that received alternative testing instructions using a t-test. All data were analyzed using Stata, version 14 (Statacorp, College Station, TX). The study received ethical approval from the Excellence in Research Ethics and Science Converge (Lusaka, Zambia).

Results

Among 1912 houses randomly selected for the survey in Lusaka Province, 1617 adolescents and adults participated (representing 84.6% of households). During recruitment, 229 selected houses were empty, 49 had an adult who could not be reached, and 17 had an adult who declined participation. We interviewed an average of 95 participants per CSA and 77% of the participants resided in urban areas. Among participants, 970 (60%) were women and 647 (40%) were men (Table 1). Participants' median age was 27 years (interquartile range, 22–35); 50% were married and 47% had completed senior secondary school or above. Moderate or high risk of HIV infection was reported by 41% and 12% self-reported being HIV-positive. Although 85% reported having ever tested, only 52% of women and 38% of men reported having tested in the past 12 months. Only 4% reported having heard of HIVST before the study.
1.

Demographic, Socioeconomic, and HIV Risk Characteristics of Participants

 TotalFemaleMen
 NMean (SD)/%NMean (SD)/%NMean (SD)/%
Age, in years161728.9 (8.3)97028.5 (8.1)64729.5 (8.4)
Education level
 None/primary1616209702464616
 Jr. secondary 32 11 29
 Sr. secondary 33 34 34
 More than secondary 14 10 21
Marital status
 Married/cohabiting1614509695364543
 Single 38 32 47
 Divorced/separated/widowed 12 14 9
Employment status
 Employed for wages1617239701464737
 Self-employed with business/farm 28 28 29
 Unemployed, looking for work 23 27 16
 Unemployed, not looking for work 26 32 17
Individual monthly income level[a]
 K500 or less805213842842114
 K501–1000 28 33 23
 K1001–2000 21 18 25
 K2001–5000 23 16 3
 >K5000 7 5 8
Number of children15991.8 (1.8)9702.0 (1.8)6471.5 (1.8)
HIV-positive by self-report1325128461247911
Perceived HIV risk
 High1363148041555913
 Moderate 27 27 28
 Low 31 30 32
 No risk at all 28 28 27

All data were weighted using probability weighting to ensure representativeness.

At the time of the survey K7 was equivalent to 1 US dollar.

SD, standard deviation.

Demographic, Socioeconomic, and HIV Risk Characteristics of Participants All data were weighted using probability weighting to ensure representativeness. At the time of the survey K7 was equivalent to 1 US dollar. SD, standard deviation. After learning about HIVST through the video, acceptability of HIVST was almost universal: 91% of participants reported they would be comfortable or very comfortable with using a self-test and they also felt friends (76%) and partners (86%) would feel similarly comfortable. Acceptability was high across different strata of education, income, HIV risk, and rural status (Table 2). Eighty-seven percent of participants felt that HIVST would increase their likelihood of testing. Similar results were found in analyses stratified by sex, age, and education level. The majority (85%) of participants also felt their friends would be more likely to test for HIV if self-testing was available. Notably, 76% of those who had not tested recently declared they were “very sure” they would use a self-test if it was available. A minority (35.0%) reported having any concerns about HIVST and multiple different concerns were reported. Concern regarding possible suicide (reported by 8.1%) and lack of counseling after self-testing (reported by 6.3%) were the two most common concerns reported by participants. Most concerns were not rated as major concerns and only 2.1% reported that their concerns should limit the availability of HIVST in Zambia (Table 3).
2.

Acceptability of HIV Self-Testing in Population-Based Sample of Zambian Adolescents and Adults

 % responding “comfortable” or “very comfortable” with HIVST in these scenariosReported likelihood of HIV testing with HIVST
 Self use[a]Friend use[b]Give to partner[c]Give to friend or other[d]% more likely to take HIV test% friends more likely to HIV test% would take HIVST “for sure”
No. of respondents160514391430158916001386626
Overall, %91768679878576
Sex, %
 Female91778782888679
 Male90738576868373
HIV testing history, %
 Nontester91738479868576
 Tester917788808885N/A
Education level, %
 Lower90748479858374
 Higher92778980898779
Income level, %
 Lower91758578858274
 Higher91788978858779
Perceived HIV risk, %
 Higher risk93778776908476
 Lower risk91758780888580
Location, %
 Rural94758881878671
 Urban90768679878577

How comfortable would you feel using a self-test?

How comfortable would your friends feel using a self-test?

How comfortable would your partner feel if you have it to him/her?

How comfortable would you feel giving it to your friends or acquaintances?

HIVST, HIV self-testing.

3.

Concerns of Adolescents and Adults Regarding HIV Self-Testing in Zambia

 %% of overall sample
% with no concerns regarding HIVST 65.0
% with any concern regarding HIVST 35.0
Types of concerns[a]
 Suicide238.1
 Lack of postcounseling and mental health186.3
 Lack of linkage to care124.2
 Validity of the test results124.2
 Lack of behavioral postcounseling advice113.9
 Intimate partner violence82.8
 Other82.8
 Coercion of people to take an HIV test51.8
 High cost31.1
Severity of the concern[b]
 Very severe and should limit HIVST62.1
 Important but can be addressed7124.9
 Relatively minor248.4

Participants were allowed to list more than one concern.

Severity was elicited only for the first concern mentioned by each participant.

Acceptability of HIV Self-Testing in Population-Based Sample of Zambian Adolescents and Adults How comfortable would you feel using a self-test? How comfortable would your friends feel using a self-test? How comfortable would your partner feel if you have it to him/her? How comfortable would you feel giving it to your friends or acquaintances? HIVST, HIV self-testing. Concerns of Adolescents and Adults Regarding HIV Self-Testing in Zambia Participants were allowed to list more than one concern. Severity was elicited only for the first concern mentioned by each participant. In the DCE, for both testers and nontesters, self-testing (vs. the standard) and having counseling were the main drivers of their choice to get tested (Table 4). For nontesters, presence of self-testing was slightly more important than presence of counseling when determining their choice, while the opposite was true for testers. The strength of the preference for self-testing was higher for nontesters than for testers (2.91 over 1.65). Both testers and nontesters valued counseling, and an estimated 81% of nontesters and 83% of testers had a positive preference for counseling. Compared to self-testing and counseling, preference for location was modest, with participants expressing a nonsigificant preference for picking up a self-test at the outpatient department versus VCT. Cost had a negative and significant coefficient, indicating that participants preferred lower cost self-tests. Testers were more sensitive to cost than nontesters. Willingness to pay for self-tests was 3.3 USD for testers and 4.6 USD for nontesters. Willingness to pay was higher as income and education levels increased and for urban compared to rural participants. When conditional logit was used in secondary analyses, preferences for counseling, location, and cost remained qualitatively similar and when we excluded questions where participants chose the status quo and only considered the choice between the two self-testing models.
4.

Patient Preferences Regarding HIV Self-Testing According to a Discrete Choice Experiment

 Regular HIV testersNonregular HIV testers
AttributesCoefficient[a]SECoefficient[a]SE
Self-testing (vs. status quo[b])1.650.052.910.07
Counseling (vs. no counseling)2.750.122.550.14
Location of self-test pickup
 OPD pharmacy at clinic0.030.050.100.06
 Chemist−0.160.05−0.060.06
 VCT office at the clinicReferenceN/AReferenceN/A
Cost of self-test kit−0.070.00−0.090.00

A random coefficient logistic regression model was used. Separate models were performed for participants who regularly took HIV tests under the status quo and those who had not tested. All attributes were adjusted for in models.

The status quo was finger prick point-of-care HIV testing performed in the facility VCT office for regular testers and not testing for nonregular testers.

OPD, outpatient department; SE, standard error; VCT, voluntary counseling and testing.

Patient Preferences Regarding HIV Self-Testing According to a Discrete Choice Experiment A random coefficient logistic regression model was used. Separate models were performed for participants who regularly took HIV tests under the status quo and those who had not tested. All attributes were adjusted for in models. The status quo was finger prick point-of-care HIV testing performed in the facility VCT office for regular testers and not testing for nonregular testers. OPD, outpatient department; SE, standard error; VCT, voluntary counseling and testing. The instructional sheet for oral fluid-based self-tests performed well with 73% of participants reporting they felt confident in their ability to use the test themselves (Table 5). Participants with lower socioeconomic status were less likely (53%) to feel confident about using the test. Responses to the knowledge assessment questions also indicated good understanding of HIVST (median score: 8 out of 9 correct, range 2–9). Most incorrect answers were to the question related to interpretation of test results (65% accurately identified the image of invalid, positive, and negative test results). Those with lower education levels were less likely to correctly interpret test results compared to those with high education levels (44% vs. 70%; p < .01). Supplementing the instruction sheet with a brief video increased participant confidence slightly (79%) but did not improve (and slightly worsened) understanding of how to perform the test.
5.

Effectiveness of HIV Self-Testing Instructions

 Paper instructions onlyPaper plus video instructions 
 OverallHigher education[a]Lower educationOverallHigher education[a]Lower educationp[b]
Confidence in performing an HIV Self-test
 % not confident537535.01
 % somehow confident221428171122 
 % confident738364798772 
HIVST knowledge quiz
 % with correct number of minutes for valid test949691909580<.01
 % with correct response on reading results657044616735.02
 Mean number of correct answers out of 9 (SD)8.1 (1.2)8.3 (1.0)7.9 (1.3)7.9 (1.3)8.2 (1.1)7.6 (1.4)<.01
 % incorrectly said it was okay to drink water737273716777.51

Higher education was defined as completion of secondary school and above.

p-Value refers to comparison of proportions between participants who received paper only versus paper and video instructions.

Effectiveness of HIV Self-Testing Instructions Higher education was defined as completion of secondary school and above. p-Value refers to comparison of proportions between participants who received paper only versus paper and video instructions.

Discussion

In a representative survey of adolescents and adults living in Lusaka Province, Zambia, HIVST was found to be highly acceptable and participants expressed relatively few concerns regarding the introduction of HIVST. Importantly, those who had not recently tested reported strong willingness to learn their HIV status through a self-test. The use of tablets was both highly feasible and facilitated communication around HIVST even though actual self-tests were not available in Zambia at the time of the survey. Participants also expressed a strong preference for counseling to be made available with HIVST as well as a willingness to pay US$3–5 out-of-pocket for test kits. Together these data can guide piloting and scaling-up of HIVST in Zambia and the region. Strengths of the study include its relatively large sample size and representativeness of the largest Province in Zambia, which enhances external validity of the results. Participant characteristics were similar to those from the recent Zambia Demographic and Health survey.[22] By utilizing a DCE, the study also enhances understanding of individuals' preferences for HIVST without having provided self-tests. Consistent with formative studies in other SSA countries,[8,21,23] HIVST was highly acceptable. Compared to those who had tested in the past year, those who had not expressed stronger interest and preference for HIVST, including a higher willingness to pay for self-tests, suggesting that HIVST can be useful in efforts to meet the first of the UNAIDS 90-90-90 targets. Beyond the strong interest in own use of self-tests, participants also felt their friends would have strong interest in self-testing. Although the risk of suicide after receipt of positive self-test result and general lack of psychological support after testing were the most common concerns among study participants, a very small proportion of all participants expressed such concerns. Despite the stated concerns, it is notable that no studies of HIVST implementation to date have reported instances of suicide resulting from self-test use.[6,21,24] The DCE results provided important new insights for the scale-up of HIVST. Zambian adults expressed preference for HIVST over current HIV testing approaches and on average expressed a strong preference that counseling should accompany HIVST. This may reflect very low knowledge about this new testing approach in Zambia or suggest that people strongly value psychological counseling provided by health workers. HIVST scale-up should therefore be accompanied by adequate information about how and where to access confirmatory testing services in the event of a positive result, as well as innovative ways to access pre- and post-test counseling though services such as phone-based hotlines. Further exploration of how counseling can be provided is necessary. Another important result is that cost did not appear to be a major barrier to self-test use. Data from our study suggest willingness to pay about US$3 per self-test, with those who had not tested recently being willing to pay an additional US$2. One limitation here is that willingness to pay estimates are average amounts based on a simple model with considerable residual variation remaining from specifying the utility only on attributes of location, cost, and counseling. However, it is possible that willingness to pay for self-tests is high in light of transport costs, opportunity costs, and stigma associated with seeking HIV testing at health facilities. These results also have implications for how best to target self-tests to those who are least likely to use existing HIV testing services. Further dedicated research on pricing is needed, including studies that estimate prices using field experiments in which price is randomly assigned to potential buyers and buying choice at each price is observed.[25,26] Most participants were able to correctly understand self-test usage procedures after reviewing an instructional sheet, and the addition of a video demonstration did not further improve understanding though it did increase confidence about using a self-test. Videos about self-test usage may be a valuable way to increase demand in settings like Zambia. While our study did not include use of actual self-tests, the accuracy with which test results were interpreted was not high. This may be the result of the survey setting and a short introduction to HIVST, but it does suggest the need for adequate supportive materials and resources when distributing self-tests. Notably, in Malawi a study that included a brief demonstration before provision of self-tests indicates high accuracy in the hands of lay users.[24] Several limitations warrant discussion. Although both urban and rural individuals participated in the survey, our data may not generalize to all of Zambia as we only included one province of Zambia. A second limitation is that we did not recruit key populations who have both higher risk of HIV infection and may have lower access to testing in current programs. While studies show high acceptability of HIVST among key populations,[7] additional research is needed as these populations may have different preferences around how to obtain self-tests and willingness to pay for self-tests. Similarly, very affluent individuals (a group not oversampled in this survey) in settings like Zambia may have unique perspectives and preferences for HIVST. Finally, this study focused on oral fluid based self-tests. Further studies are needed to also understand preferences for blood-based self-tests. In Lusaka Province, Zambia, a representative group of adolescents and adults reported a high level of interest and acceptance of HIVST, particularly among those who do not regularly access HIV testing through current programs. Participants reported strong preference for presence of counseling, a relatively weak preference for location, and a willingness to pay out of pocket for test kits, higher for nonregular testers. These results support pilot introduction of HIVST in Zambia. However, future research is needed in this area to best guide governments on the most efficient and effective use of this public health intervention.
  16 in total

1.  The costs and effectiveness of four HIV counseling and testing strategies in Uganda.

Authors:  Nick Menzies; Betty Abang; Rhoda Wanyenze; Fred Nuwaha; Balaam Mugisha; Alex Coutinho; Rebecca Bunnell; Jonathan Mermin; John M Blandford
Journal:  AIDS       Date:  2009-01-28       Impact factor: 4.177

2.  Promoting male partner HIV testing and safer sexual decision making through secondary distribution of self-tests by HIV-negative female sex workers and women receiving antenatal and post-partum care in Kenya: a cohort study.

Authors:  Harsha Thirumurthy; Samuel H Masters; Sue Napierala Mavedzenge; Suzanne Maman; Eunice Omanga; Kawango Agot
Journal:  Lancet HIV       Date:  2016-04-08       Impact factor: 12.767

3.  Prevention of HIV-1 infection with early antiretroviral therapy.

Authors:  Myron S Cohen; Ying Q Chen; Marybeth McCauley; Theresa Gamble; Mina C Hosseinipour; Nagalingeswaran Kumarasamy; James G Hakim; Johnstone Kumwenda; Beatriz Grinsztejn; Jose H S Pilotto; Sheela V Godbole; Sanjay Mehendale; Suwat Chariyalertsak; Breno R Santos; Kenneth H Mayer; Irving F Hoffman; Susan H Eshleman; Estelle Piwowar-Manning; Lei Wang; Joseph Makhema; Lisa A Mills; Guy de Bruyn; Ian Sanne; Joseph Eron; Joel Gallant; Diane Havlir; Susan Swindells; Heather Ribaudo; Vanessa Elharrar; David Burns; Taha E Taha; Karin Nielsen-Saines; David Celentano; Max Essex; Thomas R Fleming
Journal:  N Engl J Med       Date:  2011-07-18       Impact factor: 91.245

Review 4.  Systematic review and meta-analysis of community and facility-based HIV testing to address linkage to care gaps in sub-Saharan Africa.

Authors:  Monisha Sharma; Roger Ying; Gillian Tarr; Ruanne Barnabas
Journal:  Nature       Date:  2015-12-03       Impact factor: 49.962

5.  Factors associated with acceptability of HIV self-testing among health care workers in Kenya.

Authors:  Samuel Kalibala; Waimar Tun; Peter Cherutich; Anne Nganga; Erick Oweya; Patricia Oluoch
Journal:  AIDS Behav       Date:  2014-07

Review 6.  Discrete choice experiments in health economics: a review of the literature.

Authors:  Esther W de Bekker-Grob; Mandy Ryan; Karen Gerard
Journal:  Health Econ       Date:  2010-12-19       Impact factor: 3.046

7.  Assessing user preferences for sexually transmitted infection testing services: a discrete choice experiment.

Authors:  Alec Miners; Carrie Llewellyn; Alex Pollard; Mylene Lagarde; Daniel Richardson; John Cairns; Martin Fisher; Helen Smith
Journal:  Sex Transm Infect       Date:  2012-06-01       Impact factor: 3.519

8.  The uptake and accuracy of oral kits for HIV self-testing in high HIV prevalence setting: a cross-sectional feasibility study in Blantyre, Malawi.

Authors:  Augustine Talumba Choko; Nicola Desmond; Emily L Webb; Kondwani Chavula; Sue Napierala-Mavedzenge; Charlotte A Gaydos; Simon D Makombe; Treza Chunda; S Bertel Squire; Neil French; Victor Mwapasa; Elizabeth L Corbett
Journal:  PLoS Med       Date:  2011-10-04       Impact factor: 11.069

9.  How much demand for New HIV prevention technologies can we really expect? Results from a discrete choice experiment in South Africa.

Authors:  Fern Terris-Prestholt; Kara Hanson; Catherine MacPhail; Peter Vickerman; Helen Rees; Charlotte Watts
Journal:  PLoS One       Date:  2013-12-30       Impact factor: 3.240

Review 10.  Realizing the potential for HIV self-testing.

Authors:  C Johnson; R Baggaley; S Forsythe; H van Rooyen; N Ford; S Napierala Mavedzenge; E Corbett; P Natarajan; M Taegtmeyer
Journal:  AIDS Behav       Date:  2014-07
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  26 in total

Review 1.  HIV Prevention Interventions for Adolescents.

Authors:  Sybil Hosek; Audrey Pettifor
Journal:  Curr HIV/AIDS Rep       Date:  2019-02       Impact factor: 5.071

2.  Sexual and Social Network Correlates of Willingness to Self-Test for HIV Among Ever-Tested and Never-Tested Men: Implications for the Tanzania STEP Project.

Authors:  Donaldson F Conserve; Camden Bay; Mrema N Kilonzo; Neema E Makyao; Lusajo Kajula; Suzanne Maman
Journal:  AIDS Care       Date:  2018-10-26

3.  Designing HIV Testing and Self-Testing Services for Young People in Nigeria: A Discrete Choice Experiment.

Authors:  Jason J Ong; Ucheoma Nwaozuru; Chisom Obiezu-Umeh; Collins Airhihenbuwa; Hong Xian; Fern Terris-Prestholt; Titilola Gbajabiamila; Adesola Z Musa; David Oladele; Ifeoma Idigbe; Agatha David; Jane Okwuzu; Tajudeen Bamidele; Juliet Iwelunmor; Joseph D Tucker; Oliver Ezechi
Journal:  Patient       Date:  2021-05-04       Impact factor: 3.883

4.  Changes over time in HIV testing and counselling uptake and associated factors among youth in Zambia: a cross-sectional analysis of demographic and health surveys from 2007 to 2018.

Authors:  Aimé Bitakuya Heri; Francesca L Cavallaro; Nurilign Ahmed; Maurice Mubuyaeta Musheke; Mitsuaki Matsui
Journal:  BMC Public Health       Date:  2021-03-06       Impact factor: 3.295

5.  Using discrete choice experiments to develop and deliver patient-centered psychological interventions: a systematic review.

Authors:  Meghan E McGrady; Ahna L H Pai; Lisa A Prosser
Journal:  Health Psychol Rev       Date:  2020-01-22

6.  An implementation study of oral and blood-based HIV self-testing and linkage to care among men in rural and peri-urban KwaZulu-Natal, South Africa.

Authors:  Adrienne E Shapiro; Alastair van Heerden; Meighan Krows; Kombi Sausi; Nsika Sithole; Torin T Schaafsma; Olivier Koole; Heidi van Rooyen; Connie L Celum; Ruanne V Barnabas
Journal:  J Int AIDS Soc       Date:  2020-06       Impact factor: 5.396

7.  Ability to understand and correctly follow HIV self-test kit instructions for use: applying the cognitive interview technique in Malawi and Zambia.

Authors:  Musonda Simwinga; Moses K Kumwenda; Russell J Dacombe; Lusungu Kayira; Agness Muzumara; Cheryl C Johnson; Pitchaya Indravudh; Euphemia L Sibanda; Lot Nyirenda; Karin Hatzold; Elizabeth L Corbett; Helen Ayles; Miriam Taegtmeyer
Journal:  J Int AIDS Soc       Date:  2019-03       Impact factor: 5.396

8.  Understanding the Time Needed to Link to Care and Start ART in Seven HPTN 071 (PopART) Study Communities in Zambia and South Africa.

Authors:  Janet Seeley; Virginia Bond; Blia Yang; Sian Floyd; David MacLeod; Lario Viljoen; Mwelwa Phiri; Melvin Simuyaba; Graeme Hoddinott; Kwame Shanaube; Chiti Bwalya; Laing de Villiers; Karen Jennings; Margaret Mwanza; Ab Schaap; Rory Dunbar; Kalpana Sabapathy; Helen Ayles; Peter Bock; Richard Hayes; Sarah Fidler
Journal:  AIDS Behav       Date:  2019-04

9.  A Global Research Agenda for Adolescents Living With HIV.

Authors:  Alice Armstrong; Jason M Nagata; Marissa Vicari; Cadi Irvine; Lucie Cluver; Annette H Sohn; Jane Ferguson; Georgina Caswell; Lucy Wanjiku Njenga; Carlo Oliveras; David Ross; Thanyawee Puthanakit; Rachel Baggaley; Martina Penazzato
Journal:  J Acquir Immune Defic Syndr       Date:  2018-08-15       Impact factor: 3.731

10.  Mate Yako Afya Yako: Formative research to develop the Tanzania HIV self-testing education and promotion (Tanzania STEP) project for men.

Authors:  Donaldson F Conserve; Kathryn E Muessig; Leonard L Maboko; Sylvia Shirima; Mrema N Kilonzo; Suzanne Maman; Lusajo Kajula
Journal:  PLoS One       Date:  2018-08-27       Impact factor: 3.240

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