Maternal Motivation to Take Preventive Therapy in Antepartum and Postpartum Among HIV-Positive Pregnant Women in South Africa: A Choice Experiment

Kim, Hae Young; Dowdy, David W.; Martinson, Neil; Kerrigan, Deanna; Tudor, Carrie; Golub, Jonathan E.; Bridges, John F.P.; Hanrahan, Colleen F.

doi:10.1007/s10461-018-2324-x

Cited by 8 publications

(13 citation statements)

References 38 publications

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“…There were five studies that considered PMTCT; two of these evaluated product and service design attributes, one willingness. Two investigated motivations to seek PMTCT services [ 23 , 27 , 42 , 48 , 100 ].…”

Section: Resultsmentioning

confidence: 99%

“…Living a long life was more highly rated during the antepartum period, while keeping CD4 count high was more important postpartum. However, trust in providers was highly prioritized in both periods [ 23 , 27 ].…”

Section: Resultsmentioning

confidence: 99%

“…Further, we re-classified some studies that were published as CA. Upon examination of their methods, we labeled them as DCE for this review, given their use of choice tasks comparing two or more profiles [27,[37][38][39][40]. "True" CA studies involved rating or ranking of profiles individually, rather than in head-to-head comparisons.…”

Section: Preference Elicitation Methodsmentioning

confidence: 99%

“…Of the 28 studies that employed DCE, several base statistical models were reported, including conditional logit (4, 14%) [27][28][29][30], multinomial logit (5, 18%) [31][32][33][34][35][36], ordinary least-squares regression (2, 7%) [37,38], and logistic regression (1) [39]. Three (11%) reported relative impor-tance scores [32,40,41].…”

Section: Dcementioning

confidence: 99%

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Eliciting Preferences for HIV Prevention Technologies: A Systematic Review

Beckham

Crossnohere

Gross

et al. 2020

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Background Many human immunodeficiency virus (HIV) prevention technologies (pre-exposure prophylaxis, microbicides, vaccines) are available or in development. Preference elicitation methods provide insight into client preferences that may be used to optimize products and services. Given increased utilization of such methods in HIV prevention, this article identifies and reviews these methods and synthesizes their application to HIV prevention technologies. Methods In May 2020, we systematically searched peer-reviewed literature in PubMed, CINAHL, and Web of Science for studies employing quantitative preference elicitation methods to measure preferences for HIV prevention technologies among populations of any age, sex, or location. Quality assessment used an existing checklist (PREFS) and a novel adaptation of the Newcastle–Ottawa Scale (PROSPERO #CRD42018087027). Results We screened 5022 titles and abstracts, reviewed 318 full texts, and included 84 studies. Common methods employed were discrete-choice experiment (33%), conjoint analysis (25%), and willingness-to-participate/try/accept (21%). Studies were conducted in 25 countries and had a mean of 768 participants (range = 26–7176), two-thirds of them male. Common HIV prevention technologies included pre-exposure prophylaxis (23%), voluntary testing and counseling (19%), HIV self-testing (17%), vaccines (15%), and topical microbicides (9%). Most attributes focused on product design (side effects, frequency), service design (provider type, location), acceptability or willingness to accept/pay; results are summarized in these categories, by prevention type. Mean quality-adapted Newcastle–Ottawa Scale score was 4.5/8 (standard deviation = 2.1) and mean PREFS scores was 3.47/5 (standard deviation = 0.81). Conclusions This review synthesizes extant literature on quantitative measurement of preferences for HIV prevention technologies. This can enable practitioners to improve prevention products and interventions, and ultimately reduce HIV incidence.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Preference Elicitation Methodsmentioning

confidence: 99%

Section: Dcementioning

confidence: 99%

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Eliciting Preferences for HIV Prevention Technologies: A Systematic Review

Beckham

Crossnohere

Gross

et al. 2020

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“…All except one of the included studies were DCEs (17,(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38) and the remaining one was a…”

Section: [Insert Figure 1]mentioning

confidence: 99%

Stated Preference Research in Reproductive and Maternal Healthcare Services in Sub-Saharan Africa: A Systematic Review

Erku

Scuffham

Gething

et al. 2021

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Background: Understanding the preferred choice of health service attributes for women is important particularly in sub-Saharan Africa (SSA) where resources are constrained and improving reproductive and maternal health services is of high importance. The aim of this review was to identify attributes of reproductive and maternal health services in SSA, and summarise the factors shaping women's preference to access these services.Methods: PubMed/MEDLINE, EMBASE, PsycINFO, CINAHL were searched from inception of each database until March 2021 for published studies reporting stated preferences for maternal and reproductive health services in SSA. Data were extracted using a predefined extraction sheet, and the quality of reporting of included studies was assessed using PREFS and ISPOR checklits. The Donabedian's model for quality of healthcare was used to categorise attributes into "structure", "process" and "outcome".Results: A total of 13 studies (12 Discrete Choice Experiments and one Best-Worst-Scaling study) were included. Attributes related to structure of health services (e.g. availability of technical equipment, medications, or diagnostic facilities, having good system conditions) are often included within the studies, and are considered the most important by women. Of the three dimensions of quality of healthcare, outcome dimension was the least frequently studied across studies. All except one study explored women's preferences and the participants were pregnant women, women aged 18-49 years who had recently given births and women living with HIV. The included studies came from XX SSA countries of which Ethiopia and South Africa each contributed three studies. All of the included studies reported on the purpose, explanation, findings, and significance of the study. However, none of the studies reported on the differences between responders versus non-responders. Nine of the 13 studies employed ISPOR-checklist and reported each items including the research question, the methods for identifying and selecting attributes, and provided the findings in sufficient detail and clarity."Conclusions: Aligning maternal health service provision with women's preferences may foster clientoriented services and thereby improve service uptake and better patient outcomes.

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