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Estimating and reporting on the quality of inpatient stroke care by Veterans Health Administration Medical Centers.

ABSTRACT: Reporting of quality indicators (QIs) in Veterans Health Administration Medical Centers is complicated by estimation error caused by small numbers of eligible patients per facility. We applied multilevel modeling and empirical Bayes (EB) estimation in addressing this issue in performance reporting of stroke care quality in the Medical Centers.We studied a retrospective cohort of 3812 veterans admitted to 106 Medical Centers with ischemic stroke during fiscal year 2007. The median number of study patients per facility was 34 (range, 12-105). Inpatient stroke care quality was measured with 13 evidence-based QIs. Eligible patients could either pass or fail each indicator. Multilevel modeling of a patient's pass/fail on individual QIs was used to produce facility-level EB-estimated QI pass rates and confidence intervals. The EB estimation reduced interfacility variation in QI rates. Small facilities and those with exceptionally high or low rates were most affected. We recommended 8 of the 13 QIs for performance reporting: dysphagia screening, National Institutes of Health Stroke Scale documentation, early ambulation, fall risk assessment, pressure ulcer risk assessment, Functional Independence Measure documentation, lipid management, and deep vein thrombosis prophylaxis. These QIs displayed sufficient variation across facilities, had room for improvement, and identified sites with performance that was significantly above or below the population average. The remaining 5 QIs were not recommended because of too few eligible patients or high pass rates with little variation.Considerations of statistical uncertainty should inform the choice of QIs and their application to performance reporting.

SUBMITTER: Arling G

PROVIDER: S-EPMC3261327 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature

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Estimating and reporting on the quality of inpatient stroke care by Veterans Health Administration Medical Centers.

Arling Greg G Reeves Mathew M Ross Joseph J Williams Linda S LS Keyhani Salomeh S Chumbler Neale N Phipps Michael S MS Roumie Christianne C Myers Laura J LJ Salanitro Amanda H AH Ordin Diana L DL Myers Jennifer J Bravata Dawn M DM

Circulation. Cardiovascular quality and outcomes 20111206 1

<h4>Background</h4>Reporting of quality indicators (QIs) in Veterans Health Administration Medical Centers is complicated by estimation error caused by small numbers of eligible patients per facility. We applied multilevel modeling and empirical Bayes (EB) estimation in addressing this issue in performance reporting of stroke care quality in the Medical Centers.<h4>Methods and results</h4>We studied a retrospective cohort of 3812 veterans admitted to 106 Medical Centers with ischemic stroke duri ...[more]

PMID: 22147888

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Project description:BackgroundIn 2011, the Veterans Health Administration (VHA) released the Acute Ischemic Stroke (AIS) Directive, which mandated reorganization of acute stroke care, including self-designation of stroke centers as Primary (P), Limited Hours (LH), or Supporting (S).ObjectivesIn partnership with the VHA Offices of Emergency Medicine and Specialty Care Services, the VA Stroke QUERI conducted a formative evaluation in a national sample of three levels of stroke centers in order to understand barriers and facilitators.Design and approachThe evaluation consisted of a mixed-methods assessment that included a qualitative assessment of data from semi-structured interviews with key informants and a quantitative assessment of stroke quality-of-care data reporting practices by facility characteristics.ParticipantsThe final sample included 38 facilities (84 % participation rate): nine P, 24 LH, and five S facilities. In total, we interviewed 107 clinicians and 16 regional Veterans Integrated Service Network (VISN) leaders.ResultsAcross all three levels of stroke centers, stroke teams identified the specific need for systematic nurse training to triage and initiate stroke protocols. The most frequently reported barriers centered around quality-of-care data collection. A low number of eligible veterans arriving at the VAMC in a timely manner was another major impediment. The LH and S facilities reported some unique barriers: access to radiology and neurology services; EMS diverting stroke patients to nearby stroke centers, maintaining staff competency, and a lack of stroke clinical champions. Solutions that were applied included developing stroke order sets and templates to provide systematic decision support, implementing a stroke code in the facility for a coordinated response to stroke, and staff resource allocation and training. Data reporting by facility evaluation demonstrated that categorizing site volume did indicate a lower likelihood of reporting among VAMCs with 25-49 acute stroke admissions per year.ConclusionsThe AIS Directive brought focused attention to reorganizing stroke care across a wide range of facility types. Larger VA facilities tended to follow established practices for organizing stroke care, but the unique addition of the LH designation presented some challenges. S facilities tended to report a lack of a coordinated stroke team and champion to drive process changes.

Dataset Information

Estimating and reporting on the quality of inpatient stroke care by Veterans Health Administration Medical Centers.

Publications

Estimating and reporting on the quality of inpatient stroke care by Veterans Health Administration Medical Centers.

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