Examining the Impact of the AHRQ Patient Safety Indicators (PSIs) on the Veterans Health Administration
The Case of Readmissions
Bibliographic Data
| ID | 9100809 |
|---|---|
| Authors | Amy K Rosen (0000-0002-7539-7749, University School, corresponding author), Susan Loveland (VA Boston Healthcare System, corresponding author), Marlena H Shin (0000-0001-5555-6258, VA Boston Healthcare System, corresponding author), Marlena Shin, Michael Shwartz (0000-0003-4840-1682, Boston University, corresponding author), Amresh Hanchate (0000-0002-7038-4463, Boston University, corresponding author), Qi Chen (0000-0002-2835-5394, VA Boston Healthcare System, corresponding author), Haytham M A Kaafarani (0000-0002-4682-9135, Massachusetts General Hospital), Ann M Borzecki (0000-0003-1894-1274, Bedford VA Research Corporation), Ann Borzecki |
| Year | 2013 |
| Volume | 51 |
| Issue | 1 |
| Pages | 37-44 |
| Publication date | 2013-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e318270c0f7 |
| PMID | 23032358 |
| OpenAlex | W2043351417 |
| Language | EN |
| Citations received | 3 |
| References cited | 19 |
BACKGROUND: By focusing primarily on outcomes in the inpatient setting one may overlook serious adverse events that may occur after discharge (eg, readmissions, mortality) as well as opportunities for improving outpatient care. OBJECTIVE: Our overall objective was to examine whether experiencing an Agency for Healthcare Research and Quality Patient Safety Indicator (PSI) event in an index medical or surgical hospitalization increased the likelihood of readmission. METHODS: We applied the Agency for Healthcare Research and Quality PSI software (version 4.1.a) to 2003-2007 Veterans Health Administration inpatient discharge data to generate risk-adjusted PSI rates for 9 individual PSIs and 4 aggregate PSI measures: any PSI event and composite PSIs reflecting "Technical Care," "Continuity of Care," and both surgical and medical care (Mixed). We estimated separate logistic regression models to predict the likelihood of 30-day readmission for individual PSIs, any PSI event, and the 3 composites, adjusting for age, sex, comorbidities, and the occurrence of other PSI(s). RESULTS: The odds of readmission were 23% higher for index hospitalizations with any PSI event compared with those with no event [confidence interval (CI), 1.19-1.26], and ranged from 22% higher for Iatrogenic Pneumothorax (CI, 1.03-1.45) to 61% higher for Postoperative Wound Dehiscence (CI, 1.27-2.05). For the composites, the odds of readmission ranged from 15% higher for the Technical Care composite (CI, 1.08-1.22) to 37% higher for the Continuity of Care composite (CI, 1.26-1.50). CONCLUSIONS: Our results suggest that interventions that focus on minimizing preventable inpatient safety events as well as improving coordination of care between and across settings may decrease the likelihood of readmission
Adverse effect · Confidence interval · Health care · Logistic regression · Odds · Odds ratio · Patient safety · Propensity score matching · Psychological intervention · Emergency Medicine · Hospital Admissions and Outcomes · Internal Medicine · Medicine · Nursing · Patient Safety and Medication Errors · Sepsis Diagnosis and Treatment
Risk Prediction Models for Hospital Readmission
Rehospitalizations among Patients in the Medicare Fee-for-Service Program
The Care Transitions Intervention
Effect of the Transformation of the Veterans Affairs Health Care System on the Quality of Care
A Surgical Safety Checklist to Reduce Morbidity and Mortality in a Global Population
Hospital Readmissions and Quality of Care
Effects of Resident Duty Hour Reform on Surgical and Procedural Patient Safety Indicators Among Hospitalized Veterans Health Administration and Medicare Patients
The Association Between the Quality of Inpatient Care and Early Readmission
Tracking Rates of Patient Safety Indicators Over Time
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,23 |
| Citation span | 2013 - 2016 (4) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |