Asthma Control And Frequent Mental Distress (Fmd) In Adults With Active Asthma
Value in Health
A 1 -A 2 9 8 who did not, and (2) between smokers who succeeded in their smoking cessation attempts and those who did not. RESULTS: Among smokers, 60.8% made smoking cessation attempts and 17.9% succeeded. Being younger, married, having health insurance, BMI (Body Mass Index) > 25kg/m 2 , and having a health care provider were independent and significant predictors of both quitting attempts and quitting success. African American race and having children in the household were positively and
... ficantly associated with quitting attempts but had an inverse relationship with quitting success. Additional significant predictors of quitting attempts were Hispanic ethnicity and the presence of smoking-related diseases. Social support was an additional predictor of quitting success. CONCLUSIONS: Our findings indicate that some predictors related to smoking cessation attempts and successful smoking cessation were different. Sub-groups of patients (e.g. ethnic minorities, patients with smoking-related disorders, patients with children) might be motivated to initiate smoking cessation but might particularly benefit from additional support such as pharmacological interventions. OBJECTIVES: To evaluate the accuracy of patients as reporters of health care utilization compared to administrative claims data in a sample of patients with chronic obstructive pulmonary disease (COPD). METHODS: This study consisted of a cross-sectional patient survey linked to respondents' claims data for 12 months prior to the survey date. Administrative claims from the HealthCore Integrated Research Database were utilized to identify commercially insured patients aged ≥40 with ≥1 medical claim with a COPD ICD-9-CM diagnosis code or ≥1 pharmacy claim for COPD maintenance medication. Consenting patients completed a 25-minute survey including questions about the number of hospitalizations and ER visits 12 months prior to the survey. For reported hospitalizations and ER visits, respondents answered an additional question assessing whether the event was COPD-related. All-cause hospitalizations and ER visits were defined as hospitalizations or ER visits for any reason during the 12 months prior to the survey, whereas COPD-related hospitalizations and ER visits required ≥1 medical claim with a COPD ICD-9-CM primary diagnosis code. RESULTS: Of 725 patients with both survey and claims data, 25.8% reported ≥1 hospitalization on the survey in the 12 months prior compared to 23.6% with ≥1 hospitalization for the same period using claims data. COPD-related hospitalization was 9.8% for survey data, 4.7% for claims. Using claims data as the gold standard, self-reported all-cause hospitalization showed high sensitivity (144 of 171, 84.2%) and specificity (511 of 554, 92.2%). COPD-related sensitivity was lower (67.6%) but had similar specificity (93.1%). Sensitivity and specificity of self-reported ER visits was lower but results were similar for both all-cause and COPD-related ER visits (all-cause: sensitivity 63.4%, specificity 89.2%; COPDrelated: sensitivity 68.4%, specificity 91.9%). CONCLUSIONS: Findings show that self-reported and claims data correspond well with respect to all-cause hospitalization; however, ER visits and disease-specific hospitalization may not correspond as well with claims.