OBJECTIVES: To adapt the Assessing Care of Vulnerable Elders project nursing home (NH) specific quality indicators (QIs), for use with routinely collected data, and to evaluate which clinical conditions and types of care were inadequately measured using these data sources. DESIGN: Retrospective cohort study. SETTING: Nursing homes. PARTICIPANTS: NH residents 66 years of age and older dually enrolled in Medicare and Medicaid in 19 California counties between 1999 and 2000. MEASUREMENTS: Identification of care inaccessible to measurement by Medicare and Medicaid claims linked to the Minimum Data Set (MDS). Assessment of care provided for measurable QIs by condition (eg, heart failure) and by intervention type (eg, medication use). RESULTS: Only 50 of 283 QIs were captured using linked claims data. The 21,657 patients triggered 152,376 QIs (7.0 QIs/person). The overall QI pass rate (receipt of recommended care) for eligible participants was 76%. In this sample, QIs with the highest pass rates measured avoidance of adverse medications and appropriate medication use. Fewer than half of the QIs were passed for ischemic heart disease, stroke, and osteoporosis. The MDS permitted assessment of 8 QIs that focus on geriatric care. No measured QIs assessed history taking or nursing care. CONCLUSIONS: The use of claims data linked to MDS to measure the quality of care process measures is feasible for NH populations, but would be more valuable if additional data elements focused on geriatric and residential care. QIs that could be applied to patients in this study suggested areas of care needing improvement.
OBJECTIVES: To adapt the Assessing Care of Vulnerable Elders project nursing home (NH) specific quality indicators (QIs), for use with routinely collected data, and to evaluate which clinical conditions and types of care were inadequately measured using these data sources. DESIGN: Retrospective cohort study. SETTING: Nursing homes. PARTICIPANTS: NH residents 66 years of age and older dually enrolled in Medicare and Medicaid in 19 California counties between 1999 and 2000. MEASUREMENTS: Identification of care inaccessible to measurement by Medicare and Medicaid claims linked to the Minimum Data Set (MDS). Assessment of care provided for measurable QIs by condition (eg, heart failure) and by intervention type (eg, medication use). RESULTS: Only 50 of 283 QIs were captured using linked claims data. The 21,657 patients triggered 152,376 QIs (7.0 QIs/person). The overall QI pass rate (receipt of recommended care) for eligible participants was 76%. In this sample, QIs with the highest pass rates measured avoidance of adverse medications and appropriate medication use. Fewer than half of the QIs were passed for ischemic heart disease, stroke, and osteoporosis. The MDS permitted assessment of 8 QIs that focus on geriatric care. No measured QIs assessed history taking or nursing care. CONCLUSIONS: The use of claims data linked to MDS to measure the quality of care process measures is feasible for NH populations, but would be more valuable if additional data elements focused on geriatric and residential care. QIs that could be applied to patients in this study suggested areas of care needing improvement.
Authors: Neil S Wenger; David H Solomon; Carol P Roth; Catherine H MacLean; Debra Saliba; Caren J Kamberg; Laurence Z Rubenstein; Roy T Young; Elizabeth M Sloss; Rachel Louie; John Adams; John T Chang; Patricia J Venus; John F Schnelle; Paul G Shekelle Journal: Ann Intern Med Date: 2003-11-04 Impact factor: 25.391
Authors: Marjan Askari; Peter C Wierenga; Saied Eslami; Stephanie Medlock; Sophia E de Rooij; Ameen Abu-Hanna Journal: PLoS One Date: 2011-12-16 Impact factor: 3.240