Dataset Information

Predictors of patients' choice of hospitals under universal health coverage: a case study of the Nicaraguan capital.

ABSTRACT:

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.

SUBMITTER: Monfared IG

PROVIDER: S-EPMC8684609 | biostudies-literature |

REPOSITORIES: biostudies-literature

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