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Background: The prevention of mother-to-child transmission (PMTCT) of HIV/AIDS, often delivered as part of a comprehensive range of antenatal care services, is a vital part of the HIV response and well aligned with the universal health coverage agenda. Expanding service utilisation is increasingly a priority, especially in resource-limited settings. In Ethiopia, PMTCT service is a priority strategy to eliminate mother-to-child transmission (MTCT) (MOH, 2021). Understanding the demand-side factors that drive this low service uptake is important for policymakers and service providers to increase demand and avail client-centric health systems. Objectives: This paper assesses the preferences and drivers of choice regarding the attributes of PMTCT service delivery models, considering urban high-HIV prevalence and rural low-HIV prevalence settings in Ethiopia. Methods: A total of 275 pregnant women attending antenatal care (ANC) across twelve health facilities (six urban high-HIV prevalence and six rural low-HIV prevalence) were interviewed, applying a discrete choice experiment (DCE) technique. Six attributes: pretest counselling (individual/couple); service integration (family planning/antiretroviral treatment); disclosure counselling (one-to-one/partner); waiting time (30 minutes/45 minutes/1 hour/2 hours); cost (free/paying 25 ETB/paying 50 ETB/receiving 100 ETB) and PMTCT service location (health post/health centre/general hospital/specialised hospital) were included in the design, generated to maximise D-efficiency. A conditional random effect logit econometric model was employed. The econometric model analysis introduced an interaction term (urban versus rural setting). Results: Couple pretest counselling was preferred over individual pretest counselling (OR 1.23, p = 0.000). A pregnant woman waiting for 1 hour and 2 hours was less likely to prefer the PMTCT service than waiting for 30 minutes (OR 0.75, p=0.001; OR 0.76, p=0.000). The respondents preferred not to pay for the services (USD 1.27, USD 2.54). Pregnant women preferred PMTCT services at the health centre (OR 1.26, p=0.001). The odds of choosing couple pretest counselling by a pregnant woman from the rural areas were lower than the urban respondents (OR 0.77, p=0.003). Urban-dwelling pregnant women were less likely to prefer waiting for longer time periods (OR 0.72, p=0.72, p=0.04). Pregnant women from rural areas were less willing to pay USD 2.54 for the service (OR 0.52, p=0.000) and more willing to receive a payment of USD 5.08 (OR 2.09, p=0.000). On the other hand, women from urban areas were more willing to pay USD 2.54 (OR 1.49, p=0.013) and were less likely to receive a payment of USD 5.08 for the PMTCT service (OD 0.40, p=0.000). Conclusion/Policy Implication: Pretest counselling, waiting time, service fees, and location were the critical attributes impacting pregnant women’s preferences towards PMTCT service. Particularly, the preferences of urban and rural pregnant women were varied for the PMTCT service attributes of service integration, waiting time, cost/service fees and location.
Background: The prevention of mother-to-child transmission (PMTCT) of HIV/AIDS, often delivered as part of a comprehensive range of antenatal care services, is a vital part of the HIV response and well aligned with the universal health coverage agenda. Expanding service utilisation is increasingly a priority, especially in resource-limited settings. In Ethiopia, PMTCT service is a priority strategy to eliminate mother-to-child transmission (MTCT) (MOH, 2021). Understanding the demand-side factors that drive this low service uptake is important for policymakers and service providers to increase demand and avail client-centric health systems. Objectives: This paper assesses the preferences and drivers of choice regarding the attributes of PMTCT service delivery models, considering urban high-HIV prevalence and rural low-HIV prevalence settings in Ethiopia. Methods: A total of 275 pregnant women attending antenatal care (ANC) across twelve health facilities (six urban high-HIV prevalence and six rural low-HIV prevalence) were interviewed, applying a discrete choice experiment (DCE) technique. Six attributes: pretest counselling (individual/couple); service integration (family planning/antiretroviral treatment); disclosure counselling (one-to-one/partner); waiting time (30 minutes/45 minutes/1 hour/2 hours); cost (free/paying 25 ETB/paying 50 ETB/receiving 100 ETB) and PMTCT service location (health post/health centre/general hospital/specialised hospital) were included in the design, generated to maximise D-efficiency. A conditional random effect logit econometric model was employed. The econometric model analysis introduced an interaction term (urban versus rural setting). Results: Couple pretest counselling was preferred over individual pretest counselling (OR 1.23, p = 0.000). A pregnant woman waiting for 1 hour and 2 hours was less likely to prefer the PMTCT service than waiting for 30 minutes (OR 0.75, p=0.001; OR 0.76, p=0.000). The respondents preferred not to pay for the services (USD 1.27, USD 2.54). Pregnant women preferred PMTCT services at the health centre (OR 1.26, p=0.001). The odds of choosing couple pretest counselling by a pregnant woman from the rural areas were lower than the urban respondents (OR 0.77, p=0.003). Urban-dwelling pregnant women were less likely to prefer waiting for longer time periods (OR 0.72, p=0.72, p=0.04). Pregnant women from rural areas were less willing to pay USD 2.54 for the service (OR 0.52, p=0.000) and more willing to receive a payment of USD 5.08 (OR 2.09, p=0.000). On the other hand, women from urban areas were more willing to pay USD 2.54 (OR 1.49, p=0.013) and were less likely to receive a payment of USD 5.08 for the PMTCT service (OD 0.40, p=0.000). Conclusion/Policy Implication: Pretest counselling, waiting time, service fees, and location were the critical attributes impacting pregnant women’s preferences towards PMTCT service. Particularly, the preferences of urban and rural pregnant women were varied for the PMTCT service attributes of service integration, waiting time, cost/service fees and location.
Purpose In China, secondary and tertiary hospital-based dialysis facilities had been the most prominent provider of hemodialysis treatment. Developing community hemodialysis centers was the key to constructing hierarchical hemodialysis system. Thus, the aim of this study was to explore end-stage kidney disease (ESKD) patients’ preferences for hemodialysis services and attract patients with stable condition to choose community hemodialysis services. Patients and Methods The study used a labelled discrete choice experiment with ESKD patients in Wuhan, Hubei Province in China. Patients were asked to make a choice between hospital-based hemodialysis facilities and community hemodialysis centers with different attribute levels. Mixed logit model was used to measure their preferences and heterogeneity for hemodialysis services. The marginal utility was measured to predict the change of patients’ choice probability of community hemodialysis centers. Results A total of 420 ESKD patients consented to complete the questionnaires and 408 were included in the analysis after excluding responses that did not pass the consistency test. All attributes were significantly influencing respondents’ choice of hemodialysis service. Patients were more inclined to hemodialysis services with smooth and effective referral, regular doctors, 20 minutes of travel time, and home-based offline follow-up. Gender, age, income, hemodialysis year, and hemodialysis times weekly were found to influence the preferences. When the community hemodialysis service attributes gradually meet the patients’ preferences, as many as 58.39% of patients will choose community hemodialysis centers. Conclusion A better understanding of ESKD patients’ preferences for hemodialysis service is a crucial step for the future policy implementations. Although patients tended to choose hospital-based hemodialysis facilities, patients’ preferences for hemodialysis institutions would reverse with the change of service attribute. Establishing a smooth and effective referral is the most important attribute to improve patients’ acceptance of community hemodialysis centers. Strengthening the integration of service can facilitate hierarchical hemodialysis service system.
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