Andrew T Harris 1,2 , Catherine Hoover 3 , Brendan Cmolik 4 , Mariel Zaun 4 , Corinna Falck-Ytter 3,2 , Mamta K Singh 3,2 Show Affiliations »
Abstract
BACKGROUND: Loss to follow-up is an under-recognised problem in primary care. Continuity with a primary care provider improves morbidity and mortality in the Veterans Health Administration. We sought to reduce the percentage of patients lost to follow-up at the Northeast Ohio Veterans Affairs Healthcare System from October 2017 to March 2019. METHODS: The Panel Retention Tool (PRT) was developed and tested with primary care teams using multiple Plan, Do, Study and Act cycles to identify and schedule lost to follow-up patients. Baseline data on loss to follow-up, defined as the percentage of panelled patients not seen in primary care in the past year, was collected over 6 months during tool development. Outcomes were tracked from implementation through spread and sustainment (12 months) across 14 primary care clinics. RESULTS: Of the 96 170 panelled patients at the beginning of the study period, 2715 (2.8%) were found to be inactive and removed from provider panels, improving panel reliability. Among the remaining, 1856 (1.9%) patients without scheduled follow-up were scheduled for future care, and 1239 (1.3%) without recent prior care completed encounters during the study period. The percentage of patients lost to follow-up decreased from 10.1% (lower control limit (LCL) 9.8%-upper control limit (UCL) 10.4%) at baseline to 6.4% (LCL 6.2%-UCL 6.7%) postintervention and patients without planned future care decreased from 21.7% (LCL 21.3%-UCL 22.1%) to 17.1% (LCL 16.7%-UCL 17.5%). CONCLUSIONS: The PRT allowed primary care teams in an integrated health system to identify and schedule lost to follow-up patients. Ease of use, adaptability and encouraging outcomes facilitated spread. This has the potential to contribute to more appropriate utilisation of healthcare resources and improved access to primary care. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.
BACKGROUND: Loss to follow-up is an under-recognised problem in primary care. Continuity with a primary care provider improves morbidity and mortality in the Veterans Health Administration. We sought to reduce the percentage of patients lost to follow-up at the Northeast Ohio Veterans Affairs Healthcare System from October 2017 to March 2019. METHODS: The Panel Retention Tool (PRT) was developed and tested with primary care teams using multiple Plan, Do, Study and Act cycles to identify and schedule lost to follow-up patients . Baseline data on loss to follow-up, defined as the percentage of panelled patients not seen in primary care in the past year, was collected over 6 months during tool development. Outcomes were tracked from implementation through spread and sustainment (12 months) across 14 primary care clinics. RESULTS: Of the 96 170 panelled patients at the beginning of the study period, 2715 (2.8%) were found to be inactive and removed from provider panels, improving panel reliability. Among the remaining, 1856 (1.9%) patients without scheduled follow-up were scheduled for future care, and 1239 (1.3%) without recent prior care completed encounters during the study period. The percentage of patients lost to follow-up decreased from 10.1% (lower control limit (LCL) 9.8%-upper control limit (UCL) 10.4%) at baseline to 6.4% (LCL 6.2%-UCL 6.7%) postintervention and patients without planned future care decreased from 21.7% (LCL 21.3%-UCL 22.1%) to 17.1% (LCL 16.7%-UCL 17.5%). CONCLUSIONS: The PRT allowed primary care teams in an integrated health system to identify and schedule lost to follow-up patients . Ease of use, adaptability and encouraging outcomes facilitated spread. This has the potential to contribute to more appropriate utilisation of healthcare resources and improved access to primary care. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Disease
Species
Keywords:
ambulatory care; primary care; quality improvement
Year: 2020
PMID： 32522802 DOI： 10.1136/bmjqs-2019-010398
Source DB: PubMed Journal: BMJ Qual Saf ISSN： 2044-5415 Impact factor: 7.035