Abstract
Measuring rural health care quality is challenging, and payer and government reporting requirements are frequently misaligned. The Pennsylvania Rural Health Model, a multipayer global budget demonstration for rural hospitals, initially required the proposal of an All-Payer Quality (APQ) Program in which participating payers would have held participating hospitals accountable for performance on a common set of quality measures. We sought to identify quality measures appropriate for use in APQ measurement and reporting programs for globally budgeted rural hospitals. A method was devised to identify, assess, and select quality measures from an environmental scan of core measure sets. An initial screen identified measures that were relevant, valid, and reliable. Four reviewers then independently assessed measures that passed the initial screen on a Likert scale of 1-5 for relevance, validity, reliability, responsiveness, alignment, and feasibility, and they selected a proposed measure set guided by prespecified measure set criteria. The 4 reviewers selected 10 quality measures from a list of 344 measures drawn from 8 core measure sets. One hundred twenty-five measures satisfied screening criteria and were assessed. The mean total score was 21.5/30 (95% CI: 17.0-26.0). Inter-rater reliability was moderate (intraclass correlation coefficient range 0.544-0.656). A formal performance measure selection methodology can generate a set of rural-appropriate health care quality measures for a multipayer rural hospital global budget program. This methodology could be replicated to select quality measures for inclusion in rural multipayer quality measurement and reporting programs.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.