2016
DOI: 10.1097/qmh.0000000000000093
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Impact of Patient-Centered Care Innovations on Access to Providers, Ambulatory Care Utilization, and Patient Clinical Indicators in the Veterans Health Administration

Abstract: Secondary data analysis can reveal longitudinal trends associated with system changes, thereby informing program evaluation and identifying opportunities for quality improvement.

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Cited by 4 publications
(6 citation statements)
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“…Secondary data provides researchers the ability to evaluate quality markers within institutions and the impact such initiatives may have that are independent of other variables within particular settings. 33…”
Section: Methodsmentioning
confidence: 99%
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“…Secondary data provides researchers the ability to evaluate quality markers within institutions and the impact such initiatives may have that are independent of other variables within particular settings. 33…”
Section: Methodsmentioning
confidence: 99%
“…A cross-sectional study of secondary data is well suited for describing variables and their distribution patterns. Secondary data provides researchers the ability to evaluate quality markers within institutions and the impact such initiatives may have that are independent of other variables within particular settings 33 …”
Section: Methodsmentioning
confidence: 99%
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“…The innovation categories explored in each of the included articles are outlined in S3). Thirty-five per cent (13/37) [17][18][19][20][21][22][23][24][25][26][27][28][29] of the interventions/programmes impacted all of the 4Cs (Supplementary Table S2a). These programmes included, on average, 7.25 intervention categories each (median = 7), and the most recurrently explored outcome was healthcare costs and utilisation (which featured in 10 of the 13 articles), followed by population health outcomes (in five of the 13 articles).…”
Section: Descriptions Of Interventions Impact On the 4cs And Their Effects On Outcomesmentioning
confidence: 99%
“…… aimed at improving patient care and included offerings aimed at improving the employee experience. (Burkhart et al , p103)56…”
Section: Resultsmentioning
confidence: 99%