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  • Ovid Technologies (Wolters Kluwer Health)  (2)
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  • Ovid Technologies (Wolters Kluwer Health)  (2)
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  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2019
    In:  Journal of Patient Safety Vol. 15, No. 4 ( 2019-12), p. 267-273
    In: Journal of Patient Safety, Ovid Technologies (Wolters Kluwer Health), Vol. 15, No. 4 ( 2019-12), p. 267-273
    Abstract: Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment or by leading to unnecessary or harmful treatment. Objectives The aim of the study was to investigate the relationship between patient safety culture, health information technology (IT) implementation, and the frequency of problems that could lead to diagnostic errors in the medical office setting, such as unavailable test results, unavailable medical records, or unpursued abnormal results. Methods We used survey data from 925 medical offices nationwide that voluntarily submitted results to the 2012 Agency for Healthcare Research and Quality Medical Office Surveys on Patient Safety Culture database. At the office level, we ran a multivariate regression model to estimate the effect of culture on problem frequency while controlling for office-reported implementation levels of health IT, office characteristics such as the number of locations, and survey characteristics such as the percent of respondents that were physicians. Results The most frequent problem was “results from a lab or imaging test were not available when needed”; across 925 offices, the average was 15% reporting that it happened daily or weekly. Higher overall culture scores were significantly associated with fewer occurrences of each problem assessed. Compared with offices with completed health IT implementation, offices in the process of health IT implementation had higher frequency of problems. Conclusions This study offers insight into how patient safety culture and health IT implementation in medical offices can influence the frequency of breakdowns in processes of care, thereby identifying potential vulnerabilities that can increase diagnostic errors.
    Type of Medium: Online Resource
    ISSN: 1549-8425 , 1549-8417
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
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  • 2
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2017
    In:  American Journal of Medical Quality Vol. 32, No. 1 ( 2017-01), p. 48-57
    In: American Journal of Medical Quality, Ovid Technologies (Wolters Kluwer Health), Vol. 32, No. 1 ( 2017-01), p. 48-57
    Abstract: This study investigates the relationship between inpatient quality of care as measured by the Agency for Healthcare Research and Quality (AHRQ) patient safety indicator (PSI) composite and all-cause, hospital-wide, 30-day readmission rates. Discharge data from 4 statewide databases were analyzed. Linear, repeated-measures regressions were performed to predict hospital-level 30-day readmission rates. The mean readmission rate was 12.9%, and the mean PSI composite ratio was 0.95 among 524 hospitals with 2592 observations. In the hospital-level analysis, the risk-adjusted AHRQ PSI composite was not significantly associated with hospital 30-day readmission rate after controlling for hospital-level characteristics, patient case mix, and sociodemographics. Inpatient quality of care appears to have less influence on hospital readmission rates than do clinical and socioeconomic factors. However, these results suggest that a patient safety composite measure that includes postdischarge complications would provide more information to assist hospitals and communities in understanding the association between quality of care and readmission rates.
    Type of Medium: Online Resource
    ISSN: 1062-8606 , 1555-824X
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2017
    detail.hit.zdb_id: 2181248-2
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