Taking the pulse of the health services research community: A cross-sectional survey of research impact, barriers and support

© 2020 AHHA Open Access. Objective: This study reports on the characteristics of individuals conducting health service research (HSR) in Australia and New Zealand, the perceived accessibility of resources for HSR, the self-reported impact of HSR projects and perceived barriers to conducting HSR. Methods: A sampling frame was compiled from funding announcements, trial registers and HSR organisation membership. Listed researchers were invited to complete online surveys. Close-ended survey items were analysed using basic descriptive statistics. Goodness of fit tests determined potential associations between researcher affiliation and access to resources for HSR. Open-ended survey items were analysed using thematic analysis. Results: In all, 424 researchers participated in the study (22% response rate). Respondents held roles as health service researchers (76%), educators (34%) and health professionals (19%). Most were employed by a university (64%), and 57% held a permanent contract. Although 63% reported network support for HSR, smaller proportions reported executive (48%) or financial (26%) support. The least accessible resources were economists (52%), consumers (49%) and practice change experts (34%) researchers affiliated with health services were less likely to report access to statisticians (P < 0.001), economists (P < 0.001), librarians (P = 0.02) and practice change experts (P = 0.02) than university-affiliated researchers. Common impacts included conference presentations (94%), publication of peer-reviewed articles (87%) and health professional benefits (77%). Qualitative data emphasised barriers such as embedding research culture within services and engaging with policy makers. Conclusions: The data highlight opportunities to sustain the HSR community through dedicated funding, improved access to methodological expertise and greater engagement with end-users. What is known about the topic?: HSR faces several challenges, such as inequitable funding allocation and difficulties in quantifying the effects of HSR on changing health policy or practice. What does this paper add?: Despite a vibrant and experienced HSR community, this study highlights some key barriers to realising a greater effect on the health and well-being of Australian and New Zealand communities through HSR. These barriers include limited financial resources, methodological expertise, organisational support and opportunities to engage with potential collaborators. What are the implications for practitioners?: Funding is required to develop HSR infrastructure, support collaboration between health services and universities and combine knowledge of the system with research experience and expertise. Formal training programs for health service staff and researchers, from short courses to PhD programs, will support broader interest and involvement in HSR

Update on the General Practice Optimising Structured Monitoring to Improve Clinical Outcomes in Type 2 Diabetes (GP-OSMOTIC) trial: statistical analysis plan for a multi-centre randomised controlled trial.

BACKGROUND: General Practice Optimising Structured Monitoring to Improve Clinical Outcomes in Type 2 Diabetes (GP-OSMOTIC) is a multicentre, individually randomised controlled trial aiming to compare the use of intermittent retrospective continuous glucose monitoring (r-CGM) to usual care in patients with type 2 diabetes attending general practice. The study protocol was published in the British Medical Journal Open and described the principal features of the statistical methods that will be used to analyse the trial data. This paper provides greater detail on the statistical analysis plan, including background and justification for the statistical methods chosen, in accordance with SPIRIT guidelines. OBJECTIVE: To describe in detail the data management process and statistical methods that will be used to analyse the trial data. METHODS: An overview of the trial design and primary and secondary research questions are provided. Sample size assumptions and calculations are explained, and randomisation and data management processes are described in detail. The planned statistical analyses for primary and secondary outcomes and sub-group analyses are specified along with the intended table layouts for presentation of the results. CONCLUSION: In accordance with best practice, all analyses outlined in the document are based on the aims of the study and have been pre-specified prior to the completion of data collection and outcome analyses. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12616001372471 . Registered on 3 August 2016