Similar analyses may be used for continuing education, quality improvement, and documentation system refinement. Part 2 will discuss data retrieval and implications for building a multiorganizational data warehouse.
Purpose
: To evaluate the content validity and nursing sensitivity of six community‐level outcomes from the Nursing Outcomes Classification (NOC; Johnson, Maas, & Moorhead, 2000).
Design and Methods
: A survey research design was used. Questionnaires were mailed to 300 public health nursing experts; 102 nurses responded. Experts evaluated between 11 and 30 indicators for each of the six outcomes for: (a) importance of the indicators for measuring the outcome, and (b) influence of nursing on the indicators. Content validity and nursing sensitivity of the outcomes were estimated with a modified Fehring technique.
Findings
: All outcomes were deemed important; only Community Competence had an outcome content validity score <.80. The outcome sensitivity score for Community Health: Immunity was .80; other outcome scores ranged from .62‐.70. Indicator ratios for all 102 indicators met the study criterion for importance, with 87% designated as critical and 13% as supplemental. Sensitivity ratios reflected judgments that 45% of the indicators were sensitive to nursing intervention.
Conclusions
: The study provided evidence of outcome content validity and nursing sensitivity of the study outcomes; further validation research is recommended, followed by testing of the study outcomes in clinical practice. Community‐level nursing‐sensitive outcomes will potentially enable study of the efficacy and effectiveness of public health interventions focused on improving health of populations and communities.
A survey research design was used to assess the importance, sensitivity to nursing interventions, and content validity of six client outcomes from the Nursing Outcomes Classification (NOC)). Outcomes relevant for elderly community residents and caregivers were included in a questionnaire mailed to American Nurses Credentialing Center-certified expert community health nurses. Two hundred thirty-nine experts rated specific indicators of the six outcomes for their importance in determining the outcomes and the contribution of nursing to their achievement. Outcomes also were rated for their importance for community health nursing clients and responsiveness to community health nursing intervention. Results strongly support the content validity and nursing sensitivity of outcomes and specific indicators. Experts judged all six outcomes to be important and 90% of indicators as important in determining the outcome. All outcomes and 78% of indicators were judged to be responsive to community health nursing intervention. Recommendations include the testing of NOC outcomes in community health nursing clinical practice and inclusion in community health nursing curricula. Areas for further research include development and validation of community-level outcomes, validation of outcomes with rural and home health nursing experts, and exploration of the community health nursing-sensitivity of one study outcome.
When clinical information systems (CISs) are developed, developers and nurses must discuss how standardized data will be entered to ensure retrieval and usefulness in evaluating nursing care. For nursing effectiveness research, CISs must also provide linkages among nursing diagnoses and specific interventions, and nursing-sensitive patient outcomes.
A study was conducted by academic and community hospital partners with clinical information systems that included the standardized nursing language classifications of the North American Nursing Diagnosis Association International (NANDA-I), Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). The aim of the study was to determine the frequency of NANDA-I, NIC, and NOC (NNN) terms documented for older adults with pneumonia who were discharged from three hospitals during a 1-year period. NNN terms were ranked according to frequency for each hospital, and then the rankings were compared with previous studies. Similarity was greater across hospitals in rankings of NANDA-I and NOC terms than in rankings of NIC terms. NANDA-I and NIC terms are influenced by reimbursement and regulatory factors as well as patient condition. The 10 most frequent NNN terms for each hospital accounted only for a small to moderate percentage of the terms selected.
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