Dataset Information

A methodology to design a performance management system in preventive care.

ABSTRACT:

Background

Preventive care has gained increasing attention in health reforms around the world due to its ability to reduce the burden of disease and to save health costs. Nevertheless, there is a gap in terms of the development of reliable systems to measure and evaluate performance of preventive care in order to support decision-making and increase service outcomes. The aim of this study is to define a methodology for designing a performance management system (PMS) in order to effectively support the planning, control and evaluation of preventive care and to identify the factors that influence such a process.

Methods

The methodology is based on the participatory action research approach, which implies collaboration between researchers and practitioners. The study was articulated in four phases and carried out in an Italian regional healthcare system that was undergoing a major reorganization process.

Results

The findings provide insights into the peculiarities that affect preventive care and highlight two categories of critical factors: general issues regarding the process and specific issues regarding preventive care. The first category includes the importance of interactions between academics, physicians and policy-makers, the impact of workloads and red tape on employee involvement and the increased conservation mechanisms during periods of institutional change. The second category concerns the strong heterogeneity of preventive activities within health organizations, the huge amount of regulations and the incompleteness of information systems.

Conclusion

The development of a PMS for preventive care can best be served by collaborative methods that involve academics, professionals and policy-makers, whose roles and responsibilities must be clearly defined, and by an improvement in transparency and communication within organizations in order to enhance the involvement of different professionals at appropriate times and in appropriate ways. Key recommendations that may improve the maintenance and use of information systems are proposed to policy-makers.

SUBMITTER: Rotondo F

PROVIDER: S-EPMC6311075 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Publications

A methodology to design a performance management system in preventive care.

Rotondo Federico F Giovanelli Lucia L Fadda Nicoletta N Ezza Alberto A

BMC health services research 20181229 1

<h4>Background</h4>Preventive care has gained increasing attention in health reforms around the world due to its ability to reduce the burden of disease and to save health costs. Nevertheless, there is a gap in terms of the development of reliable systems to measure and evaluate performance of preventive care in order to support decision-making and increase service outcomes. The aim of this study is to define a methodology for designing a performance management system (PMS) in order to effective ...[more]

PMID: 30594191

Similar Datasets

Project description:BackgroundElectronic medical records are widely used in family practices across Canada and can improve health outcomes. However, recent reports indicate that physicians using electronic medical records work longer and have less direct patient contact which may contribute to burnout. Therefore, new and innovative digital tools are essential to reduce physician workloads and improve patient-physician interaction to address physician burnout. The objective of this study was to assess the efficiency and accuracy of clinical decision-making when using a new preventive care point-of-care clinical decision support system (CDSS). An estimate of the potential annual time savings was also determined. This study also assessed physician reported perceived usefulness and ease of use of the CDSS.MethodsQuantitative and qualitative data were collected during this study. Each participant evaluated two simulated patient charts and identified which preventive care metrics were due. The participants recorded their decisions and the time required to assess each chart. Participants then completed a Technology Acceptance Model survey regarding the perceived usefulness and ease of use of the CDSS, which included qualitative feedback. The amount of time saved was determined and participants' clinical decision-making accuracy was scored against current Canadian preventive care guidelines. The number of preventive care specific visits completed per year was determined using clinic billing data.ResultsThe preventive care CDSS saved an average of 195.7 s of chart review time (249.5 s vs 445.2 s; P < 0.001). A total of 1520 preventive visits were performed at Primrose and Bruyère Family Medicine Centres. Extrapolated across the organization, implementation of the new tool could save 82.6 h per year. Decision-making accuracy was not affected by the new tool (78.4% vs 80.9%, P > 0.05). Participants rated the perceived ease of use and usefulness to be very high.ConclusionsNew digital tools may reduce providers' workload without impacting clinical decision-making accuracy. Participants indicated that the preventive care CDSS was useful and easy to use. Further software development and clinical studies are required to further improve and characterize the effect this new CDSS has when implemented in clinical practice.

Dataset Information

A methodology to design a performance management system in preventive care.

Background

Methods

Results

Conclusion

Publications

A methodology to design a performance management system in preventive care.

Similar Datasets

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