TY - JOUR
T1 - Towards using administrative databases to measure population-based indicators of quality of end-of-life care
T2 - Testing the methodology
AU - Grunfeld, Eva
AU - Lethbridge, Lynn
AU - Dewar, Ron
AU - Lawson, Beverley
AU - Paszat, Lawrence F.
AU - Johnston, Grace
AU - Burge, Frederick
AU - McIntyre, Paul
AU - Earle, Craig C.
PY - 2006
Y1 - 2006
N2 - This study is concerned with methods to measure population-based indicators of quality end-of-life care. Using a retrospective cohort approach, we assessed the feasibility, validity and reliability of using administrative databases to measure quality indicators of end-of-life care in two Canadian provinces. The study sample consisted of all females who died of breast cancer between 1 January 1998 and 31 December 2002, in Nova Scotia or Ontario, Canada. From an initial list of 19 quality indicators selected from the literature, seven were determined to be fully measurable in both provinces. An additional seven indicators in one province and three in the other province were partially measurable. Tests comparing administrative and chart data show a high level of agreement with inter-rater reliability, confirming consistency in the chart abstraction process. Using administrative data is an efficient, population-based method to monitor quality of care which can compliment other methods, such as qualitative and purposefully collected clinical data.
AB - This study is concerned with methods to measure population-based indicators of quality end-of-life care. Using a retrospective cohort approach, we assessed the feasibility, validity and reliability of using administrative databases to measure quality indicators of end-of-life care in two Canadian provinces. The study sample consisted of all females who died of breast cancer between 1 January 1998 and 31 December 2002, in Nova Scotia or Ontario, Canada. From an initial list of 19 quality indicators selected from the literature, seven were determined to be fully measurable in both provinces. An additional seven indicators in one province and three in the other province were partially measurable. Tests comparing administrative and chart data show a high level of agreement with inter-rater reliability, confirming consistency in the chart abstraction process. Using administrative data is an efficient, population-based method to monitor quality of care which can compliment other methods, such as qualitative and purposefully collected clinical data.
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U2 - 10.1177/0269216306072553
DO - 10.1177/0269216306072553
M3 - Article
C2 - 17148531
AN - SCOPUS:33846000308
SN - 0269-2163
VL - 20
SP - 769
EP - 777
JO - Palliative Medicine
JF - Palliative Medicine
IS - 8
ER -