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

ABSTRACT: BACKGROUND:For the first time in the history of HIV, new bio-medical interventions have been shown to be effective in preventing HIV transmission. For these new HIV prevention technologies (NPTs) to have an impact on the epidemic, they must be widely used. This study uses a discrete choice experiment (DCE) to: understand the relative strength of women's preferences for product characteristics, understand the implications for substitution away from male condoms, and inform realistic modelling of their potential impact and cost-effectiveness. METHODS:A DCE was conducted among 1017 women in urban South Africa. Women were presented with choices between potential women's NPTs (microbicides, diaphragm, female condom) and 'what I did last time' (use or not use a condom) with different HIV and pregnancy prevention effectiveness' and prices. Choice probabilities are estimated using the nested logit model and used to predict uptake. RESULTS:In this high HIV prevalence setting, HIV prevention effectiveness is the main driver of uptake followed by pregnancy prevention effectiveness. For example a microbicide with poor effectiveness would have niche appeal at just 11% predicted uptake, while a highly effective microbicide (95% effective against HIV and pregnancy) would have far wider appeal (56% predicted uptake). Though women who reported not using condoms were more likely to choose the NPTs, at current very high rates of male condom use in South Africa (60%), about half of microbicide uptake is projected to be among those currently not using condoms. CONCLUSIONS:Women are very interested in NPTs, especially if highly effective in preventing HIV and pregnancy. Women in greatest need were also most likely to switch to the new products. Where products are not yet available for distribution, proxy data, such as that generated by DCEs, can bring realism to overly optimistic uptake scenarios found in many current impact models.

SUBMITTER: Terris-Prestholt F

PROVIDER: S-EPMC3875434 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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

Terris-Prestholt Fern F Hanson Kara K MacPhail Catherine C Vickerman Peter P Rees Helen H Watts Charlotte C

PloS one 20131230 12

<h4>Background</h4>For the first time in the history of HIV, new bio-medical interventions have been shown to be effective in preventing HIV transmission. For these new HIV prevention technologies (NPTs) to have an impact on the epidemic, they must be widely used. This study uses a discrete choice experiment (DCE) to: understand the relative strength of women's preferences for product characteristics, understand the implications for substitution away from male condoms, and inform realistic model ...[more]

PMID: 24386160

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Project description:BackgroundStrokes pose a particular challenge to the health care system. Although stroke-related mortality has declined in recent decades, the absolute number of new strokes (incidence), stroke deaths, and survivors of stroke has increased. With the increasing need of neurorehabilitation and the decreasing number of professionals, innovations are needed to ensure adequate care. Digital technologies are increasingly used to meet patients' unfilled needs during their patient journey. Patients must adhere to unfamiliar digital technologies to engage in health interventions. Therefore, the acceptance of the benefits and burdens of digital technologies in health interventions is a key factor in implementing these innovations.ObjectiveThis study aims to describe the development of a discrete choice experiment (DCE) to weigh criteria that impact patient and public acceptance. Secondary study objectives are a benefit-burden assessment (estimation of the maximum acceptable burden of technical features and therapy-related characteristics for the patient or individual, eg, no human contact), overall comparison (assessment of the relative importance of attributes for comparing digital technologies), and adherence (identification of key attributes that influence patient adherence). The exploratory objectives include heterogeneity assessment and subgroup analysis. The methodological aims are to investigate the use of DCE.MethodsTo obtain information on the criteria impacting acceptance, a DCE will be conducted including 7 attributes based on formative qualitative research. Patients with stroke (experimental group) and the general population (control group) are surveyed. The final instrument includes 6 best-best choice tasks in partial design. The experimental design is a fractional-factorial efficient Bayesian design (D-error). A conditional logit regression model and mixed logistic regression models will be used for analysis. To consider the heterogeneity of subgroups, a latent class analysis and an analysis of heteroscedasticity will be performed.ResultsThe literature review, qualitative preliminary study, survey development, and pretesting were completed. Data collection and analysis will be completed in the last quarter of 2023.ConclusionsOur results will inform decision makers about patients' and publics' acceptance of digital technologies used in innovative interventions. The patient preference information will improve decisions regarding the development, adoption, and pricing of innovative interventions. The behavioral changes in the choice of digital intervention alternatives are observable and can therefore be statistically analyzed. They can be translated into preferences, which define the value. This study will investigate the influences on the acceptance of digital interventions and thus support decisions and future research.International registered report identifier (irrid)DERR1-10.2196/46056.

Project description:BackgroundNurse practitioners play a critical role in improving the access to care and in meeting the needs for health care. However, prior to the COVID-19 pandemic, the average turnover rate of nurse practitioners was 10 % with associated total direct cost that ranged from $85,832 to $114,919 for each episode of turnover in the United States. Little is known about the job preference of nurse practitioners and the cost savings to an organization that provides jobs with characteristics attractive to nurse practitioners.ObjectiveThe aim of this study was to identify the preferred job characteristics that are associated with nurse practitioners' job choices; and to determine the extent to which nurse practitioners would need to be compensated for practicing without these characteristics.DesignA two-stage design using a mixed method approach.Setting(s)The state of Georgia in the United States.Participants2757 nurse practitioners who were actively licensed were invited to participate. Of the 412 participants, 372 actively employed in Georgia were included in the analysis.MethodsA 2-stage discrete choice experiment was designed. Stage-1 was a qualitative design using a focus group to identify nurse practitioners' preferred job characteristics. Stage-2 was a quantitative design using survey distribution and analysis. A mixed logit model was used for ranking nurse practitioners' preferred job characteristics and the extent to which they would need to be compensated.ResultsOn average nurse practitioners were 47.4 years of age; the majority were female (90 %), white (75.3 %), and educated at the master's level (88.7 %). Participants did not value teams that were not very cohesive (β = -1.50); administration that was not very responsive and supportive (β = -1.04); being supervised by a physician (β = -0.58); not having their own panel of patients (β = -0.42); and not billing under their own National Provider Identifier (β = -0.18). Participants would need an increase in annual income of USD$21,780 for practicing in a not very cohesive team; USD$15,280 for practicing with a not very responsive administration; and USD$21,450 for being supervised by a physician.ConclusionsA cohesive, responsive, and supportive working environment and being able to practice independently are important characteristics for nurse practitioners when choosing a job. Healthcare managers should provide a workplace culture that reflects these preferred job characteristics to attract and retain nurse practitioners. Policymakers should consider reforming the scope of practice legislation to promote the independent practice of nurse practitioners.

Dataset Information

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

Publications

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

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