scholarly journals Stakeholder views on publication bias in health services research

2020 ◽  
Vol 25 (3) ◽  
pp. 162-171 ◽  
Author(s):  
Iestyn Williams ◽  
Abimbola A Ayorinde ◽  
Russell Mannion ◽  
Magdalena Skrybant ◽  
Fujian Song ◽  
...  
Keyword(s):  
Focus Group ◽  
Health Services Research ◽  
Health Services ◽  
Clinical Research ◽  
Publication Bias ◽  
Quantitative Research ◽  
Decision Makers ◽  
Structured Interviews ◽  
Services Research ◽  
General Acceptance

Objectives While the presence of publication bias in clinical research is well documented, little is known about its role in the reporting of health services research. This paper explores stakeholder perceptions and experiences with regard to the role of publication and related biases in quantitative research relating to the quality, accessibility and organization of health services. Methods We present findings from semi-structured interviews with those responsible for the funding, publishing and/or conduct of quantitative health services research, primarily in the UK. Additional data collection includes interviews with health care decision makers as ‘end users’ of health services research, and a focus group with patient and service user representatives. The final sample comprised 24 interviews and eight focus group participants. Results Many study participants felt unable to say with any degree of certainty whether publication bias represents a significant problem in quantitative health services research. Participants drew broad contrasts between externally funded and peer reviewed research on the one hand, and end user funded quality improvement projects on the other, with the latter perceived as more vulnerable to selective publication and author over-claiming. Multiple study objectives, and a general acceptance of ‘mess and noise’ in the data and its interpretation was seen to reduce the importance attached to replicable estimates of effect sizes in health services research. The relative absence of external scrutiny, either from manufacturers of interventions or health system decision makers, added to this general sense of ‘low stakes’ of health services research. As a result, while many participants advocated study pre-registration and using protocols to pre-identify outcomes, others saw this as an unwarranted imposition. Conclusions This study finds that incentives towards publication and related bias are likely to be present, but not to the same degree as in clinical research. In health services research, these were seen as being offset by other forms of ‘novelty’ bias in the reporting and publishing of research findings.

Collaborative Practice: A Strategy to Improve the Relevance of Health Services Research

2002 ◽  
Vol 15 (3) ◽  
pp. 18-24 ◽  
Author(s):  
Kevin Brazil ◽  
Stuart MacLeod ◽  
Brian Guest
Keyword(s):  
Decision Making ◽  
Health Services Research ◽  
Health Services ◽  
Research Evidence ◽  
Collaborative Practice ◽  
Decision Makers ◽  
Healthcare Decision ◽  
Services Research ◽  
Collaborative Relationships

Health services research has emerged as a tool for decision makers to make services more effective and efficient. While its value as a basis for decision making is well established, the incorporation of such evidence into decision making remains inconsistent. To this end, strengthening collaborative relationships between researchers and healthcare decision makers has been identified as a significant strategy for putting research evidence into practice.

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.

scholarly journals Secondary Use and Analysis of Big Data Collected for Patient Care

2017 ◽  
Vol 26 (01) ◽  
pp. 28-37
Author(s):  
F. J. Martin-Sanchez ◽  
V. Aguiar-Pulido ◽  
G. H. Lopez-Campos ◽  
N. Peek ◽  
L. Sacchi
Keyword(s):  
Big Data ◽  
Environmental Factors ◽  
Health Services Research ◽  
Health Services ◽  
Clinical Research ◽  
Economic Benefits ◽  
Patient Data ◽  
Genomic Research ◽  
Services Research ◽  
Secondary Use

Summary Objectives: To identify common methodological challenges and review relevant initiatives related to the re-use of patient data collected in routine clinical care, as well as to analyze the economic benefits derived from the secondary use of this data. Through the use of several examples, this article aims to provide a glimpse into the different areas of application, namely clinical research, genomic research, study of environmental factors, and population and health services research. This paper describes some of the informatics methods and Big Data resources developed in this context, such as electronic phenotyping, clinical research networks, biorepositories, screening data banks, and wide association studies. Lastly, some of the potential limitations of these approaches are discussed, focusing on confounding factors and data quality. Methods: A series of literature searches in main bibliographic databases have been conducted in order to assess the extent to which existing patient data has been repurposed for research. This contribution from the IMIA working group on “Data mining and Big Data analytics” focuses on the literature published during the last two years, covering the timeframe since the working group’s last survey. Results and Conclusions: Although most of the examples of secondary use of patient data lie in the arena of clinical and health services research, we have started to witness other important applications, particularly in the area of genomic research and the study of health effects of environmental factors. Further research is needed to characterize the economic impact of secondary use across the broad spectrum of translational research.

scholarly journals Health services research in France: bridging the gap between academia and policymaking

2020 ◽  
Author(s):  
Marine Spaak ◽  
Marion Cipriano ◽  
François Alla ◽  
Daniel Benamouzig
Keyword(s):  
Public Health ◽  
Health Services Research ◽  
Health Services ◽  
Critical Mass ◽  
Public Health Research ◽  
Structured Interviews ◽  
Services Research ◽  
Two Phase ◽  
Staff Members ◽  
Methodological Aspects

Abstract Background We aimed to identify the knowledge producers, the knowledge that they produce and the main areas of interest for health services research (HSR) in France, which is one of the priorities for public health research planning. Methods A two-phase approach comprising a bibliometric analysis and semi-structured interviews with 20 researchers and 13 staff members of public health bodies was used. Results In France today, interdisciplinary research teams are being organized in the main cities despite a lack of critical mass. The interviews showed that the term ‘health services research’ is vague with fuzzy boundaries between research, scientific expertise and evaluation. A keyword cluster analysis showed that French HSR is more hospital-centric compared to those countries that publish most frequently. The analysis also revealed a lack of research on methodological aspects. Conclusions We analyzed the structure of HSR in France and the specificity of the French publications in this field, compared with other countries. The results indicate the obstacles faced by researchers and decision-makers and offer insight into how these barriers may be removed.

Health Services Research – What it is, How to Do it, and Why it Matters

1994 ◽  
Vol 7 (4) ◽  
pp. 214-219 ◽  
Author(s):  
Richard J. Lilford
Keyword(s):  
Health Policy ◽  
Health Services Research ◽  
Health Services ◽  
Clinical Research ◽  
Services Research ◽  
Short Article ◽  
Policy Makers ◽  
The Uk

The term ‘Health Services Research’ (HSR) has achieved only recent currency in the UK. The purpose of this short article is to explain what it is, to say how it differs from clinical research even when using similar methods, and to argue that it is likely to become of rapidly increasing importance to health policy-makers and managers.

scholarly journals Clinical research lags behind biomedical, population-based health, and health services research at multiple levels

2007 ◽  
Vol 30 (4) ◽  
pp. 152 ◽  
Author(s):  
Malathi Raghavan ◽  
J. Dean Sandham
Keyword(s):  
Health Services Research ◽  
Health Services ◽  
Clinical Research ◽  
Growth Rates ◽  
Population Based ◽  
P Value ◽  
Services Research ◽  
Level Ii ◽  
Multi Level ◽  
Level I

Purpose: Concerns regarding a decline in clinical research have been raised internationally. In this study, research initiatives and competitiveness of investigators seeking funding for clinical research were compared with those for three other health research themes in Canada, namely, biomedical, population-based, and health services research. Methods: A retrospective, multi-level descriptive study was conducted using administrative data from the Canadian Institutes for Health Research (CIHR) research grants program. Annual growth rates in numbers of proposals submitted since year 2000 (level I of comparison), success rates of submissions (level II), and growth rates in funding received since fiscal-year 1999-00 (level III) were compared across themes. Results: Proposal submission (Level I): The average annual rate of growth in proposal submissions for biomedical, clinical, population-based and health services research was 11.8%, 6.3%, 105.0% and 43.2%, respectively. Success rate (Level II) was lower in clinical research (24%; P-value < 0.001) compared with biomedical (34%), population-based (29%), and health services (28%) research. Funding (Level III) grew at an average rate of 16.1% per year for biomedical, 28.2% for clinical, 65.9% for population-based, and 86.2% for health services research. However, the median amount funded for clinical projects (CAD $154,535) was less (P-value < 0.0001) than that for biomedical projects ($225,346). Conclusion: The overall growth of research activities in clinical theme was slower than with research in other themes—fewer proposals were submitted and lower proportion of submissions was successful. Smaller amounts of funding were received for clinical projects compared with biomedical projects, but a handful of large-scale clinical projects influenced the growth rate in funding for all clinical research. This report underscores the concern that multi-level problems plague clinical research.

scholarly journals Recruitment in Health Services Research—A Study on Facilitators and Barriers for the Recruitment of Community-Based Healthcare Providers

2021 ◽  
Vol 18 (19) ◽  
pp. 10521
Author(s):  
Franziska Krebs ◽  
Laura Lorenz ◽  
Farah Nawabi ◽  
Isabel Lück ◽  
Anne-Madeleine Bau ◽  
...  
Keyword(s):  
Health Services Research ◽  
Health Services ◽  
Financial Incentives ◽  
Extrinsic Motivation ◽  
Healthcare Providers ◽  
Trial Participation ◽  
Structured Interviews ◽  
Services Research ◽  
Community Based ◽  
Facilitators And Barriers

In health services research, the recruitment of patients is oftentimes conducted by community-based healthcare providers. Therefore, the recruitment of these healthcare providers is a crucial prerequisite for successful patient recruitment. However, recruiting community-based healthcare providers poses a major challenge and little is known about its influencing factors. This qualitative study is conducted alongside a health services research intervention trial. The aim of the study is to investigate facilitators and barriers for the recruitment of community-based healthcare providers. A qualitative text analysis of documents and semi-structured interviews with recruiting staff is performed. An inductive–deductive category-based approach is used. Our findings identify intrinsic motivation and interest in the trial’s aims and goals as important facilitating factors in healthcare provider recruitment. Beyond that, extrinsic motivation generated through financial incentives or collegial obligation emerged as a conflicting strategy. While extrinsic motivation might aid in the initial enrollment of healthcare providers, it rarely resulted in active trial participation in the long run. Therefore, extrinsic motivational factors should be handled with care when recruiting healthcare providers for health services research intervention trials.

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