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Can administrative data replace patient survey data in the monitoring of waiting time for community-based specialist care?

Can administrative data replace patient survey data in the monitoring of waiting time for... BackgroundWaiting time (WT) is commonly measured via both computerized systems and patient surveys. Comparison between these types of data can reveal important issues about the relationship between self-reported survey data and objective administrative measurement of WT.AimTo compare national wait time data from two sources: patients’ reported waiting time for community specialist appointments in Israel, with waiting time calculated from computerized administrative data, across specialties and geographic areas.MethodsMedian WT for > 1 million appointments from over 6,000 physician practices in 5 specialties (ophthalmology, gynecology, otolaryngology, orthopedics, dermatology) were computed via an algorithm, for “specific” and “any” physician in the region, in December 2018. Results were compared with WT reported in a representative national sample survey of 3508 adults during August-December 2018.ResultsSimilar trends in WT were seen using both methods, with the longest wait times in dermatology, and in the Southern region. Correlation between survey and administrative data was high (r = 0.9, p < 0.01), with greater correlation for specific compared to any physician scenario. Survey respondents reported longer waiting times compared to administrative data.ConclusionsPatient survey data reflected trends in waiting time for community specialists derived from objective administrative data. Routine computation of WT from administrative data can save time and resources invested in patient surveys and provide a continuous, accurate and timely evaluation of trends. Surveys can provide deeper understanding of patient experience. Alternate use of both platforms provides a better understanding of access to care. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Health Services and Outcomes Research Methodology Springer Journals

Can administrative data replace patient survey data in the monitoring of waiting time for community-based specialist care?

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References (29)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
ISSN
1387-3741
eISSN
1572-9400
DOI
10.1007/s10742-022-00276-w
Publisher site
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Abstract

BackgroundWaiting time (WT) is commonly measured via both computerized systems and patient surveys. Comparison between these types of data can reveal important issues about the relationship between self-reported survey data and objective administrative measurement of WT.AimTo compare national wait time data from two sources: patients’ reported waiting time for community specialist appointments in Israel, with waiting time calculated from computerized administrative data, across specialties and geographic areas.MethodsMedian WT for > 1 million appointments from over 6,000 physician practices in 5 specialties (ophthalmology, gynecology, otolaryngology, orthopedics, dermatology) were computed via an algorithm, for “specific” and “any” physician in the region, in December 2018. Results were compared with WT reported in a representative national sample survey of 3508 adults during August-December 2018.ResultsSimilar trends in WT were seen using both methods, with the longest wait times in dermatology, and in the Southern region. Correlation between survey and administrative data was high (r = 0.9, p < 0.01), with greater correlation for specific compared to any physician scenario. Survey respondents reported longer waiting times compared to administrative data.ConclusionsPatient survey data reflected trends in waiting time for community specialists derived from objective administrative data. Routine computation of WT from administrative data can save time and resources invested in patient surveys and provide a continuous, accurate and timely evaluation of trends. Surveys can provide deeper understanding of patient experience. Alternate use of both platforms provides a better understanding of access to care.

Journal

Health Services and Outcomes Research Methodology – Springer Journals

Published: Mar 1, 2023

Keywords: Waiting time; Patient survey; Administrative data; Specialist; Primary care

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