[Experience with the linkage of primary and secondary claims data in an intervention trial].
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[Experience with the linkage of primary and secondary claims data in an intervention trial]. / Swart, E; Thomas, D; March, S; Salomon, T; von dem Knesebeck, Olaf.
In: GESUNDHEITSWESEN, Vol. 73, No. 12, 12, 2011, p. 126-132.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - [Experience with the linkage of primary and secondary claims data in an intervention trial].
AU - Swart, E
AU - Thomas, D
AU - March, S
AU - Salomon, T
AU - von dem Knesebeck, Olaf
PY - 2011
Y1 - 2011
N2 - The data linkage of health-related primary and secondary data provides new opportunities for health services research. The advantages of both data sources can be used synergistically, in this way their disadvantages can be overcome. In the context of the evaluation of a health intervention - the integrated health services project ('Gesundes Kinzigtal') - the conditions and requirements for an individualised data linkage of primary data (survey) and claims data of a statutory health insurance are described in this paper. The integration of secondary data permits us not only to assess the intervention concerning physical activity, nutrition and social participation of elderly people ('AGil') but, above all, also to measure and analyse the program effects on the utilisation of health care services. Recommendations regarding the data linkage of primary and secondary data in health services research are derived from the results and experiences of the AGil study. Suggestions are made concerning the suitable pseudonymisation algorithm for primary and secondary data, the matching method, approaches to reduce mismatching and their validation, as well as the legal basis for such a data linkage. Overall, an individualised data linkage of primary and secondary data does not pose any technical problems. Nevertheless a couple of data protection rules have to be followed; the data linkage offers a high knowledge insight to many health and epidemiological research questions and might be the new gold standard for health services research.
AB - The data linkage of health-related primary and secondary data provides new opportunities for health services research. The advantages of both data sources can be used synergistically, in this way their disadvantages can be overcome. In the context of the evaluation of a health intervention - the integrated health services project ('Gesundes Kinzigtal') - the conditions and requirements for an individualised data linkage of primary data (survey) and claims data of a statutory health insurance are described in this paper. The integration of secondary data permits us not only to assess the intervention concerning physical activity, nutrition and social participation of elderly people ('AGil') but, above all, also to measure and analyse the program effects on the utilisation of health care services. Recommendations regarding the data linkage of primary and secondary data in health services research are derived from the results and experiences of the AGil study. Suggestions are made concerning the suitable pseudonymisation algorithm for primary and secondary data, the matching method, approaches to reduce mismatching and their validation, as well as the legal basis for such a data linkage. Overall, an individualised data linkage of primary and secondary data does not pose any technical problems. Nevertheless a couple of data protection rules have to be followed; the data linkage offers a high knowledge insight to many health and epidemiological research questions and might be the new gold standard for health services research.
KW - Germany
KW - Databases, Factual
KW - Clinical Trials as Topic/statistics & numerical data
KW - Data Collection/methods
KW - Data Mining/methods
KW - Insurance Claim Review/statistics & numerical data
KW - Insurance, Health, Reimbursement/statistics & numerical data
KW - Intervention Studies
KW - Germany
KW - Databases, Factual
KW - Clinical Trials as Topic/statistics & numerical data
KW - Data Collection/methods
KW - Data Mining/methods
KW - Insurance Claim Review/statistics & numerical data
KW - Insurance, Health, Reimbursement/statistics & numerical data
KW - Intervention Studies
M3 - SCORING: Zeitschriftenaufsatz
VL - 73
SP - 126
EP - 132
JO - GESUNDHEITSWESEN
JF - GESUNDHEITSWESEN
SN - 0941-3790
IS - 12
M1 - 12
ER -
