Preferences of people in choosing a family physician in rural areas: a qualitative inquiry from Iran

Abstract

Abstract Background: Creating a stable and long-term relationship called ‘longitudinality’ between the population and general practitioners is crucial for the family physician program. The constant change of family physicians (FPs) can deteriorate longitudinality. This study aims to reveal what factors people usually consider when choosing a new FP or changing their current FP. Method: A qualitative study with a thematic analysis approach was carried out in Ilam province, Iran, in 2019. Purposeful sampling with a maximum variation strategy was followed to select the key informants. We did 34 interviews with following groups: patients (rural residents); FPs; and experts from Iran Health Insurance Organization, Ilam University of Medical Sciences, and Health Network Development Center. Data were analyzed using a thematic analysis to identify and contextualize the preferences of people in choosing a FP in rural areas. All the processes related to data coding and emerging themes were carried out using MAXQDA 2012 software. Results: The content of the interviews was categorized into 2 main themes, 6 sub-themes, and 39 codes. The first theme was ‘family physician characteristics’ including four sub-themes: general behaviors, social and physical characteristics, professional expertise, and pharmaceutical prescriptions. The second theme was ‘health center’ consisting of two sub-themes including location and physical features and properties of the health center. Conclusion: Some of the factors extracted from the interviews may have a different effect on the choice of people with different demographics. For instance, patients may have different ideas about the age, gender, years of medical practice, and finally, language and origin of the birthplace of FPs. Quantitative studies are needed to rank the factors identified in this study according to their significance for choosing FP and reveal patients’ preferences for each factor.