Panayotova Svetlana, Atanasova Elka
Department of Health Economics and Management, Faculty of Public Health Medical University - Varna Varna Bulgaria.
Health Sci Rep. 2025 Jul 30;8(8):e70800. doi: 10.1002/hsr2.70800. eCollection 2025 Aug.
The aim of this study was to identify the determinants of outpatient physician visits and hospitalizations in Bulgaria. Given resource disparities and hospital overutilization, understanding healthcare misuse or underuse could improve system efficiency and cost management.
An online survey was conducted in Bulgaria (January-February 2023) among individuals aged 18+ to collect information on individual characteristics and the use of health services. The cross-sectional study analyzed primary data from 1292 respondents. Determinants were selected based on the Andersen's behavioral model. The number of outpatient physician visits (GP, specialist) as well as the number of hospitalizations in the past 12 months were used as outcome measures. Four negative binomial regressions were conducted to assess associations between the independent and the dependent variables.
GP visits were positively associated with family size and trust in provider. Older age, higher education, and part-time or unemployed status were associated with lower private visits to specialists. Higher income predicted fewer GP and referral-based specialist visits. In contrast, long waiting times, distance, and transportation challenges increased private consultations. Better self-rated health was a negative predictor of GP and specialist visits. The presence of one or more chronic conditions was associated with more outpatient physician visits and more hospitalizations.
We have applied the Andersen's behavioral model, facilitating comparative analyses based on results in different countries and health systems. Future studies should explore how these utilization patterns influence health outcomes in Bulgaria.
本研究旨在确定保加利亚门诊医生就诊和住院的决定因素。鉴于资源差异和医院过度使用的情况,了解医疗保健的滥用或使用不足情况有助于提高系统效率和成本管理。
2023年1月至2月在保加利亚对18岁及以上的个人进行了一项在线调查,以收集有关个人特征和医疗服务使用情况的信息。这项横断面研究分析了1292名受访者的原始数据。根据安德森行为模型选择决定因素。将过去12个月内门诊医生就诊次数(全科医生、专科医生)以及住院次数用作结果指标。进行了四项负二项回归分析,以评估自变量和因变量之间的关联。
全科医生就诊次数与家庭规模和对医疗服务提供者的信任呈正相关。年龄较大、受教育程度较高以及兼职或失业状态与较少的专科医生私人就诊次数相关。较高的收入预示着较少的全科医生就诊次数和基于转诊的专科医生就诊次数。相比之下,较长的等待时间、距离和交通困难增加了私人会诊次数。自我评估健康状况较好是全科医生和专科医生就诊次数的负预测因素。患有一种或多种慢性病与更多的门诊医生就诊次数和更多的住院次数相关。
我们应用了安德森行为模型,便于根据不同国家和卫生系统的结果进行比较分析。未来的研究应探讨这些利用模式如何影响保加利亚的健康结果。