Browsing by Author "Monfared, Ida G."

Background This study looks at the factors that can shape patients’ choice of healthcare providers. Understanding this process can help with making high quality healthcare more accessible for all. We focus on distance, patient’s health status, (perceived) quality of healthcare facility, and referrals to investigate how these factors compete in shaping patients’ choice of hospitals. Methods This study was carried out in Managua, the capital of Nicaragua. Utilizing an exit-survey, patients were interviewed across five public hospitals in 2017 and then six in 2019 when a new highly-equipped hospital was added to the system. We used a multinomial logit model to investigate patients’ preference of a specific hospital over the rest within each wave. Results Our results show that being referred to a hospital is the strongest predictor and in some cases, it can increase the relative risk ratio of choosing a facility by a factor of 49 ( p  < 0.01; 95% CI: 27.39–87.17). For the remaining factors, the hierarchy of importance was less clear-cut yet all these factors remained significantly important at various levels. Conclusions Overall, our results highlight the importance of referral systems in making quality healthcare more equitable. Moreover, with distance also being a key predictor and in the absence of an organized referral system, those with low-income would either be further deprived by having to settle with locally available healthcare (regardless of its quality) or face high amounts of out-of-pocket expenditure when seeking help from the private sector.

This study gathered evidence from Germany and the United States on public opinion towards fair distribution of COVID-19 vaccines across the world. Analytical Hierarchy Process and discrete choice experiments were used for this purpose. The sample is nationally representative of adults (aged 18 and above) for both countries using quotas on age, gender, education, state, and COVID-19 vaccination rates at the time of the fieldwork (25 May 2021 to 26 June 2021). Overall 1,003 responses in Germany and 1,000 in the United States were collected.

This study investigates that how the number of COVID-19 vaccines secured correlates with the vaccination coverage (full and booster) depending on whether or not there is trust in national government across 47 countries. The data are based on global figures as of Nov. 2021 and Feb. 2022 while measures for confidence in government is according to Gallup World Poll, Oct. 2021. The model includes an interaction term of these two predictors, also controls for a range of socio-economic factors and country specific variables. The results indicate a non-linear and mixed relationship between the numbers secured, the public trust, and the vaccination rate. In Feb. 2022, with confidence in government, securing number of vaccines to cover 200% of the population (or more) increased the full vaccination rate by 12.26% (95% CI: 11.70–12.81); where number secured was 300% (or more), the coverage increased by 7.46% (95% CI: 6.95–7.97). Under similar scenarios, rate of booster shots increased by 13.16% (95% CI: 12.62–13.70; p < 0.01) and 14.36% (95% CI: 13.86–14.85; p < 0.01), respectively. Where the number secured fell below 200%, confidence in government had a revers relationship with the rate of full vaccination (−2.65; 95% CI: −3.32 to −1.99), yet positive with the rate of booster shots (1.65; 95% CI: 1.18–2.12). These results indicate that better success can be achieved by a combination of factors including securing sufficient number of vaccines as well as improving the public trust. Vaccine abundance, however, cannot be translated into greater success in vaccination coverage. This study highlights the importance of efficiency in acquiring vaccine resources and need for improvement in public belief in immunization programmes rather than stock piling.