Linking Data to Decision-Making: Applying Qualitative Data Analysis Methods and Software to Identify Mechanisms for Using Outcomes Data
保存先:
| 出版年: | The Journal of Behavioral Health Services & Research vol. 34, no. 4 (Oct 2007), p. 459 |
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| 出版事項: |
Springer Nature B.V.
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| オンライン･アクセス: | Citation/Abstract |
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| 抄録: | A multiple case study was conducted to examine how staff in child out-of-home care programs used data from an Outcomes Management System (OMS) and other sources to inform decision-making. Data collection consisted of thirty-seven semi-structured interviews with clinicians, managers, and directors from two treatment foster care programs and two residential treatment centers, and individuals involved with developing the OMS; and observations of clinical and quality management meetings. Case study and grounded theory methodology guided analyses. The application of qualitative data analysis software is described. Results show that although staff rarely used data from the OMS, they did rely on other sources of systematically collected information to inform clinical, quality management, and program decisions. Analyses of how staff used these data suggest that improving the utility of OMS will involve encouraging staff to participate in data-based decision-making, and designing and implementing OMS in a manner that reflects how decision-making processes operate. [PUBLICATION ABSTRACT] A multiple case study was conducted to examine how staff in child out-of-home care programs used data from an Outcomes Management System (OMS) and other sources to inform decision-making. Data collection consisted of thirty-seven semi-structured interviews with clinicians, managers, and directors from two treatment foster care programs and two residential treatment centers, and individuals involved with developing the OMS; and observations of clinical and quality management meetings. Case study and grounded theory methodology guided analyses. The application of qualitative data analysis software is described. Results show that although staff rarely used data from the OMS, they did rely on other sources of systematically collected information to inform clinical, quality management, and program decisions. Analyses of how staff used these data suggest that improving the utility of OMS will involve encouraging staff to participate in data-based decision-making, and designing and implementing OMS in a manner that reflects how decision-making processes operate. |
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| ISSN: | 1094-3412 1556-3308 0092-8623 |
| DOI: | 10.1007/s11414-007-9064-4 |
| ソース: | ABI/INFORM Global |