BACKGROUND: The provision of preventive services and continuity of care are important aspects of long-term care (LTC). A proposed quality indicator of such care is the rate of hospitalizations due to ambulatory care sensitive conditions (ACSCs). As the ACSC approach to identifying potentially avoidable hospitalizations (PAH) was developed for younger community-dwelling adults in the United States, we sought to examine its applicability as a quality indicator for older institutionalized residents in Canada. METHODS: ACSCs were identified in a linked hospital-based LTC and acute care administrative database at the Institute for Clinical Evaluative Sciences in Ontario, Canada. An expert panel was then convened to assess the applicability of existing ACSCs to an older institutionalized population in Canada and to develop consensus-based revisions appropriate to this setting. The revised definition of PAH was then applied to the same linked database. RESULTS: The proportion of hospitalizations categorized as a PAH using the original ACSCs was 47% (4177 of 8885). The panel suggested the inclusion of 2 new conditions (septicemia and falls/fractures) coupled with the deletion of 4 of the original ACSCs (immunization-preventable conditions; nutritional deficiency; severe ear, nose and throat infections; tuberculosis) that were rare hospital diagnoses in this population. Using the revised definition, 55% of hospitalizations (4874) were identified as potentially avoidable. CONCLUSIONS: Changes to the original list of ACSCs led to more hospitalizations being categorized as potentially avoidable. Significant variation between LTC facilities and over time in our PAH indicator may identify areas for improvement in preventive services and continuity of care for LTC residents.
BACKGROUND: The provision of preventive services and continuity of care are important aspects of long-term care (LTC). A proposed quality indicator of such care is the rate of hospitalizations due to ambulatory care sensitive conditions (ACSCs). As the ACSC approach to identifying potentially avoidable hospitalizations (PAH) was developed for younger community-dwelling adults in the United States, we sought to examine its applicability as a quality indicator for older institutionalized residents in Canada. METHODS: ACSCs were identified in a linked hospital-based LTC and acute care administrative database at the Institute for Clinical Evaluative Sciences in Ontario, Canada. An expert panel was then convened to assess the applicability of existing ACSCs to an older institutionalized population in Canada and to develop consensus-based revisions appropriate to this setting. The revised definition of PAH was then applied to the same linked database. RESULTS: The proportion of hospitalizations categorized as a PAH using the original ACSCs was 47% (4177 of 8885). The panel suggested the inclusion of 2 new conditions (septicemia and falls/fractures) coupled with the deletion of 4 of the original ACSCs (immunization-preventable conditions; nutritional deficiency; severe ear, nose and throat infections; tuberculosis) that were rare hospital diagnoses in this population. Using the revised definition, 55% of hospitalizations (4874) were identified as potentially avoidable. CONCLUSIONS: Changes to the original list of ACSCs led to more hospitalizations being categorized as potentially avoidable. Significant variation between LTC facilities and over time in our PAH indicator may identify areas for improvement in preventive services and continuity of care for LTC residents.
Authors: Rodolphe Bourret; Grégoire Mercier; Jacques Mercier; Olivier Jonquet; Jean-Emmanuel De La Coussaye; Philippe J Bousquet; Jean-Marie Robine; Jean Bousquet Journal: BMC Health Serv Res Date: 2015-01-22 Impact factor: 2.655
Authors: Sergei Muratov; Justin Lee; Anne Holbrook; J Michael Paterson; Jason Robert Guertin; Lawrence Mbuagbaw; Tara Gomes; Wayne Khuu; Priscila Pequeno; Andrew P Costa; Jean-Eric Tarride Journal: BMJ Open Date: 2017-12-26 Impact factor: 2.692
Authors: Joanna B Broad; Toni Ashton; Thomas Lumley; Michal Boyd; Ngaire Kerse; Martin J Connolly Journal: BMC Med Res Methodol Date: 2014-07-22 Impact factor: 4.615
Authors: David B Hogan; Joseph E Amuah; Laurel A Strain; Walter P Wodchis; Andrea Soo; Misha Eliasziw; Andrea Gruneir; Brad Hagen; Gary Teare; Colleen J Maxwell Journal: Open Med Date: 2014-03-04