Danny Lee1, Michelle S Keller2, Rachel Fridman3, Joshua Lee4, Joshua M Pevnick2. 1. Cedars-Sinai Division of Informatics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA. Electronic address: dlee33323@dhs.lacounty.gov. 2. Cedars-Sinai Division of Informatics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA; Enterprise Information Services, Cedars-Sinai Medical Center, 6500 Wilshire Blvd, Los Angeles, CA 90048, USA; Cedars-Sinai Division of General Internal Medicine, Department of Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA. 3. Enterprise Information Services, Cedars-Sinai Medical Center, 6500 Wilshire Blvd, Los Angeles, CA 90048, USA. 4. Cedars-Sinai Division of Informatics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA.
Abstract
BACKGROUND: Positive scores on inpatient depression symptom screens have been found to be associated with readmissions, yet most studies have used depression screens collected as part of research studies. OBJECTIVE: We evaluated whether the relationship between depression severity and readmission persisted when depression screening data was obtained for operational purposes. DESIGN: Retrospective analysis studying prospective use of PHQ data. SETTING: Large academic medical center. INTERVENTION: Ward nurses obtained depression screens from patients soon after admission. Patients who answered 'yes' to at least one Patient Health Questionnaire (PHQ)-2 question were screened using the PHQ-9. MAIN OUTCOMES AND MEASURES: We examined the association between depression severity and 30-day readmissions using logistic regression, adjusting for known predictors of hospital readmission. RESULTS: From July 2014-June 2016, 18,792 discharged adult medicine inpatients received an initial depression screen (PHQ-2) and 1105 patients (5.90%) had at least one positive response. Of this group, 3163 patients (6.32%) were readmitted within 30 days. 1128 patients received the PHQ-9. Compared to patients with no depression, patients with moderately-severe depression had 3.03 higher odds (95%CI, 1.44-6.38) and patients with severe depression had 1.63 higher odds (95%CI, 0.70-3.78) of being readmitted, after adjusting for known predictors of hospital admission. Adding PHQ-9 results did not significantly improve the predictive power of a readmissions model. CONCLUSIONS: Our mixed results call into question whether PHQ data obtained for operational purposes may differ compared to data obtained for research purposes. Differences in training of screening staff or patient discomfort with discussing depression in the hospital could explain our findings.
BACKGROUND: Positive scores on inpatient depression symptom screens have been found to be associated with readmissions, yet most studies have used depression screens collected as part of research studies. OBJECTIVE: We evaluated whether the relationship between depression severity and readmission persisted when depression screening data was obtained for operational purposes. DESIGN: Retrospective analysis studying prospective use of PHQ data. SETTING: Large academic medical center. INTERVENTION: Ward nurses obtained depression screens from patients soon after admission. Patients who answered 'yes' to at least one Patient Health Questionnaire (PHQ)-2 question were screened using the PHQ-9. MAIN OUTCOMES AND MEASURES: We examined the association between depression severity and 30-day readmissions using logistic regression, adjusting for known predictors of hospital readmission. RESULTS: From July 2014-June 2016, 18,792 discharged adult medicine inpatients received an initial depression screen (PHQ-2) and 1105 patients (5.90%) had at least one positive response. Of this group, 3163 patients (6.32%) were readmitted within 30 days. 1128 patients received the PHQ-9. Compared to patients with no depression, patients with moderately-severe depression had 3.03 higher odds (95%CI, 1.44-6.38) and patients with severe depression had 1.63 higher odds (95%CI, 0.70-3.78) of being readmitted, after adjusting for known predictors of hospital admission. Adding PHQ-9 results did not significantly improve the predictive power of a readmissions model. CONCLUSIONS: Our mixed results call into question whether PHQ data obtained for operational purposes may differ compared to data obtained for research purposes. Differences in training of screening staff or patient discomfort with discussing depression in the hospital could explain our findings.
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