scholarly journals Ethnography in Health Services Research: Oscillation Between Theory and Practice

2021 ◽  
pp. 104973232110223
Author(s):  
Lauren Cubellis ◽  
Christine Schmid ◽  
Sebastian von Peter
Keyword(s):  
Health Services Research ◽  
Health Services ◽  
Scientific Evidence ◽  
Theory And Practice ◽  
Service Research ◽  
Services Research ◽  
Relational Dynamics ◽  
Working Together ◽  
Practice Gap ◽  
Theory Practice Gap

The well-known divergence between what policy and protocol look like on paper, and what happens in the actual practice of daily life remains a central challenge in health services provision and research. This disparity is usually referred to as the theory–practice gap and contributes to concerns that scientific evidence fails to make substantial impacts on the processes of service delivery. In this article, we present an argument for the inclusion of ethnographic methods in health services research and show that this approach enables researchers to address this divergence by working within it. We trace how ethnography, through generative processes of oscillation, can take us beyond lamenting the gap and capture the relational dynamics of people working together in complex systemic arrangements. By moving from example to methodological reflection, to principle of research, we demonstrate how the oscillation of ethnographic research between theory and practice can productively contribute to the field of health service research.

scholarly journals The contribution of focus group discussions to Aboriginal Australian health service research

2014 ◽  
Vol 7 (2) ◽  
pp. 1-15 ◽  
Author(s):  
Angela Dawson ◽  
John Daniels ◽  
Kathleen Clapham
Keyword(s):  
Focus Group ◽  
Health Services Research ◽  
Health Services ◽  
Aboriginal People ◽  
Good Practice ◽  
Aboriginal Health ◽  
Service Research ◽  
Focus Group Discussions ◽  
Services Research ◽  
Group Discussions

Focus Group Discussions (FGDs) are a common way of gathering qualitative data in Aboriginal health services research; however there have been no studies on the question of whether they are appropriate research tools in such contexts, nor are there are specific guidelines available to ensure that FGDs are delivered to collect data in ways that are consistent with Aboriginal approaches to consultation, ownership and ways of knowing. Furthermore, there is a lack of clarity concerning the theoretical and methodological perspectives that could be operationalised by FGDs to gather data, guide analysis and interpretation in ways that are culturally appropriate, ethically sound and rigorous. We undertook a content analysis of Aboriginal health services research studies using FGDs to determine their use and elements that may provide insight into good practice. A framework is proposed to help guide future FGD research with Aboriginal people.

Using population register data for health services research – the Finnish experience

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Keskimäki ◽  
S Lumme
Keyword(s):  
Health Care ◽  
Health Services Research ◽  
Health Services ◽  
Register Data ◽  
Personal Identification ◽  
Service Research ◽  
Research Use ◽  
Population Census ◽  
Services Research ◽  
Wide Range

Abstract The personal identification number was introduced in Finland in the mid-1960s. By 1970, it was universally used in administrative databases including population census, causes of death, cancer, hospital discharge, and health insurance registries. Early on data protection regulations recognised the use of registries and ID numbers for research and register linkages which allowed expanding the use of register data in population health and health services research. The possibility to analyse electronic health records (eHRs) linked to individual whole-population sociodemographic data has allowed the use of a wide range of study designs from cross-sectional to longitudinal studies and to various hierarchical designs. Some registers extend follow-up time up to over 50 years with detailed mapping of individual event histories. Data also allow detailed disentangling of individual and contextual factors, such as socioeconomics and comorbidities vs. provider characteristics. While some data items draw on administrative decisions or clinical discretion, such as granting insurance benefits or decisions on surgery, the research use of the data requires understanding of processes used to construct data items. The use of population registers in health services research is clearly cost-effective. However, the lack of a high-performance computing capacity and environment suitable for processing large sensitive data, as well as inadequate information on the use of primary health care and eHRs has limited efficient use of extensive and complex linkage schemes and the utilisation of machine learning. The Finnish register authorities have improved computing facilities for research use and the legislative reform on secondary use of health care data is opening eHRs for research use granting higher granularity in describing content and quality of care. These developments enable big-data methods to be an essential part of the future methodological toolbox for health service research.

The alias dilemma: Implications for health services research

2005 ◽  
Author(s):  
Ruth Elwood Martin ◽  
Greg Hislop ◽  
Veronika Moravan ◽  
Garry Grams ◽  
Betty Calam
Keyword(s):  
Health Services Research ◽  
Health Services ◽  
Services Research
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