The 'goodness-of-fit' of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care

Background

Person-environment fit, which examines the individual’s perceptions of if, and in what way, he or she is compatible with aspects of the work context, offers a promising conceptual model for understanding employees and their interactions in health care environments. There are numerous potential ways an individual feels they “fit” with their environment. The construct was first noted almost thirty years ago, yet still remains elusive. Feelings of fit with one’s environment are typically measured by surveys, but current surveys encompass only a subset of the different components of fit, which may limit the conclusions drawn. Further, these surveys have rarely been conducted in a focused way in health care settings.

Method

This article describes the development of a multidimensional survey tool to measure fit in relation to the person’s work group (termed person-group (P-G) fit) and their organisation (person-organisation (P-O) fit). The participants were mental health care employees, volunteers, and university interns (n = 213 for P-O fit; n = 194 for P-G fit). Confirmatory Factor Analyses (CFAs) were conducted using LISREL.

Results

Valid and reliable sub-scales were found.

Conclusion

This advanced multidimensional survey tool can be used to measure P-O and P-G fit, and illuminates new information about the theoretical structure of the fit construct.

A systems science perspective on the capacity for change in public hospitals

Many types of organisation are difficult to change, mainly due to structural, cultural and contextual barriers. Change in public hospitals is arguably even more problematic than in other types of hospitals, due to features such as structural dysfunctionalities and bureaucracy stemming from being publicly-run institutions. The main goals of this commentary are to bring into focus and highlight the "3 + 3 Decision Framework" proposed by Edwards and Saltman. This aims to help guide policymakers and managers implementing productive change in public hospitals. However, while change from the top is popular, there are powerful front-line clinicians, especially doctors, who can act to counterbalance top-down efforts. Front-line clinicians have cultural characteristics and power that allows them to influence or reject managerial decisions. Clinicians in various lower-level roles can also influence other clinicians to resist or ignore management requirements. The context is further complicated by multi-stakeholder agendas, differing goals, and accumulated inertia. The special status of clinicians, along with other system features of public hospitals, should be factored into efforts to realise major system improvements and progressive change.

Association between organisational and workplace cultures, and patient outcomes: systematic review protocol

INTRODUCTION

Despite widespread interest in the topic, no current synthesis of research is available analysing the linkages between organisational or workplace cultures on the one hand, and patient outcomes on the other. This protocol proposes a systematic review to analyse and synthesise the literature to date on this topic. The resulting review will discuss characteristics of included studies in terms of the type of healthcare settings researched, the measurements of organisational and workplace culture, patient outcomes measured and the influence of these cultures on patient outcomes.

METHODS AND ANALYSIS

A systematic review will be conducted aiming to examine the associations between organisational and workplace cultures, and patient outcomes, guided by the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) statement. An English language search of abstracts will be executed using the following academic databases: CINAHL, EMBASE, Ovid MEDLINE, Web of Science and PsycINFO. The review will include relevant peer-reviewed articles from randomised controlled trials (RCTs), non-RCTs, controlled before and after studies, interrupted time series studies, cross-sectional analyses, qualitative studies and mixed-method studies. Multiple researchers will be involved in assessing the quality of articles for inclusion in the review. This protocol documents a detailed search strategy, including terms and inclusion criteria, which will form the basis of the subsequent systematic review.

ETHICS AND DISSEMINATION

Ethics approval is not required as no primary data will be collected. Results will be disseminated through a peer-reviewed publication and conference presentations.