BackgroundPrimary care is a key element of health care systems and addresses the main health problems of the population. Due to the demographic change, primary care even gains in importance. The knowledge of the patients’ preferences can help policy makers as well as physicians to set priorities in their effort to make health care delivery more responsive to patients’ needs. Our objective was to describe which aspects of primary care were included in preference studies and which of them were the most preferred aspects.MethodsIn order to elicit the preferences for primary care, a systematic literature search was conducted. Two researchers searched three electronic databases (PubMed, Scopus, and PsycINFO) and conducted a narrative synthesis. Inclusion criteria were: focus on primary health care delivery, discrete choice experiment as elicitation method, and studies published between 2006 and 2015 in English language.ResultsWe identified 18 studies that elicited either the patients’ or the population’s preferences for primary care based on a discrete choice experiment. Altogether the studies used 16 structure attributes, ten process attributes and four outcome attributes. The most commonly applied structure attribute was “Waiting time till appointment”, the most frequently used process attribute was “Shared decision making / professional’s attention paid to your views”. “Receiving the ‘best’ treatment” was the most commonly applied outcome attribute. Process attributes were most often the ones of highest importance for patients or the population. The attributes and attribute levels used in the discrete choice experiments were identified by literature research, qualitative research, expert interviews, or the analysis of policy documents.ConclusionsThe results of the DCE studies show different preferences for primary health care. The diversity of the results may have several reasons, such as the method of analysis, the selection procedure of the attributes and their levels or the specific research question of the study. As the results of discrete choice experiments depend on many different factors, it is important for a better comprehensibility of the studies to transparently report the steps undertaken in a study as well as the interim results regarding the identification of attributes and levels.Electronic supplementary materialThe online version of this article (doi:10.1186/s12913-017-2433-7) contains supplementary material, which is available to authorized users.
BackgroundFacing rising inequities and poorer accessibility of physicians in rural areas, new healthcare delivery structures are being considered to support local healthcare in German communities. To better understand perspectives on and attitudes towards different supplementary models, we examined attitudes among local politicians in the German federal state of Lower Saxony towards the suitability of supplementary care models.MethodsAs part of a cross-sectional study, we surveyed local politicians in Lower Saxony at the local authority and district levels (n = 449) by mail questionnaire. We asked for an assessment of four potential supplementary healthcare models at the local level: the use of trained medical assistants, patients’ buses, mobile physicians’ offices, and telemedicine.ResultsThe response rate was 71.0% for mayors (n = 292) and 81.6% (n = 31) for county administrators. In summary, 72.4% of respondents supported the use of trained medical assistants, 48.9% voted for patients’ buses, 22.0% for mobile physicians’ offices, and 13.9% for telemedicine. Except for telemedicine, the politicians’ approval of the supplementary models in rural areas was higher than in urban areas. The assessment regarding the suitability of each model was not significantly connected with indicators of a positively or negatively assessed local healthcare situation. The analyses showed that the use of trained medical assistants was associated with the positive effects of division of labor and potential to relieve physicians. In contrast, there was skepticism about technical support via telemedicine, mostly due to concerns about its unsuitability for elderly people and the potential lower quality of healthcare delivery.ConclusionLocal politicians widely accept the use of trained medical assistants, whereas the applicability of technical solutions such as telemedicine is perceived with skepticism. Therefore, the knowledge gap between evidence for and prejudices against telemedicine needs to be addressed more effectively. Reasons for the assessments of the presented models are more likely traceable to personal views than to assessments of the actual estimated local primary care situation.Electronic supplementary materialThe online version of this article (10.1186/s12875-017-0696-z) contains supplementary material, which is available to authorized users.
According to the results of this study, respondents believe that new models of care can play an important role in ensuring the nationwide provision of healthcare services. Introducing, at an early stage, those new models of care that people accept could contribute to ensuring a sustainable provision of primary healthcare services. Furthermore, the introduction of these new models of care could reduce the public's concerns regarding a worsening provision of primary healthcare services in their regions. Additionally, pilot projects with those new models of care that are rather rejected might increase acceptance with these models of care if they prove to be successful.
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