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Suzanne E. Mitchell MD MS Paula M. Gardiner MD MPH Ekaterina Sadikova MPH Jessica M. Martin MA MPH Brian W. Jack MD Judith H. Hibbard PHD Michael K. Paasche-Orlow MD MA MPH 《Journal of general internal medicine》2014,29(2):349-355
BACKGROUND
Patient activation is linked to better health outcomes and lower rates of health service utilization. The role of patient activation in the rate of hospital readmission within 30 days of hospital discharge has not been examined.METHODS
A secondary analysis using data from the Project RED-LIT randomized controlled trial conducted at an urban safety net hospital. Data from 695 English-speaking general medical inpatient subjects were analyzed. We used an adapted, eight-item version of the validated Patient Activation Measure (PAM). Total scores were categorized, according to standardized methods, as one of four PAM levels of activation: Level 1 (lowest activation) through Level 4 (highest activation). The primary outcome measure was total 30-day post-discharge hospital utilization, defined as total emergency department (ED) visits plus hospital readmissions including observation stays. Poisson regression was used to control for confounding.RESULTS
Of the 695 subjects, 67 (9.6 %) were PAM Level 1, 123 (17.7 %) were Level 2, 193 (27.8 %) were Level 3, and 312 (44.9 %) were Level 4. Compared with highly activated patients (PAM Level 4), a higher rate of 30-day post-discharge hospital utilization was observed for patients at lower levels of activation (PAM Level 1, incident rate ratio [IRR] 1.75, 95 % CI,1.18 to 2.60) and (PAM Level 2, IRR 1.50, 95 % CI 1.06 to 2.13). The rate of returning to the hospital among patients at PAM Level 3 was not statistically different than patients with PAM Level 4 (IRR 1.30, 95 % CI, 0.94 to 1.80). The rate ratio for PAM Level 1 was also higher compared with Level 4 for ED use alone (1.68(1.07 to 2.63)) and for hospital readmissions alone (1.93 [1.22 to 3.06]).CONCLUSION
Hospitalized adult medical patients in an urban academic safety net hospital with lower levels of Patient Activation had a higher rate of post-discharge 30-day hospital utilization. 相似文献3.
《Clinical gastroenterology and hepatology》2021,19(12):2648-2655
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Mihaela S. Stefan MD Penelope S. Pekow PhD Wato Nsa MD PhD Aruna Priya MS Lauren E. Miller MS Dale W. Bratzler DO MPH Michael B. Rothberg MD MPH Robert J. Goldberg PhD Kristie Baus RN MS Peter K. Lindenauer MD MSc 《Journal of general internal medicine》2013,28(3):377-385
BACKGROUND
Lowering hospital readmission rates has become a primary target for the Centers for Medicare & Medicaid Services, but studies of the relationship between adherence to the recommended hospital care processes and readmission rates have provided inconsistent and inconclusive results.OBJECTIVE
To examine the association between hospital performance on Medicare’s Hospital Compare process quality measures and 30-day readmission rates for patients with acute myocardial infarction (AMI), heart failure and pneumonia, and for those undergoing major surgery.DESIGN, SETTING AND PARTICIPANTS
We assessed hospital performance on process measures using the 2007 Hospital Inpatient Quality Reporting Program. The process measures for each condition were aggregated in two separate measures: Overall Measure (OM) and Appropriate Care Measure (ACM) scores. Readmission rates were calculated using Medicare claims.MAIN OUTCOME MEASURE
Risk-standardized 30-day all-cause readmission rate was calculated as the ratio of predicted to expected rate standardized by the overall mean readmission rate. We calculated predicted readmission rate using hierarchical generalized linear models and adjusting for patient-level factors.RESULTS
Among patients aged ≥ 66 years, the median OM score ranged from 79.4 % for abdominal surgery to 95.7 % for AMI, and the median ACM scores ranged from 45.8 % for abdominal surgery to 87.9 % for AMI. We observed a statistically significant, but weak, correlation between performance scores and readmission rates for pneumonia (correlation coefficient R?=?0.07), AMI (R?=?0.10), and orthopedic surgery (R?=?0.06). The difference in the mean readmission rate between hospitals in the 1st and 4th quartiles of process measure performance was statistically significant only for AMI (0.25 percentage points) and pneumonia (0.31 percentage points). Performance on process measures explained less than 1 % of hospital-level variation in readmission rates.CONCLUSIONS
Hospitals with greater adherence to recommended care processes did not achieve meaningfully better 30-day hospital readmission rates compared to those with lower levels of performance. 相似文献5.
《The American journal of medicine》2021,134(9):1127-1134
BackgroundLimited data exist about relatively recent trends in the magnitude and characteristics of patients who are re-hospitalized after hospital admission for an acute myocardial infarction. This study examined trends in the frequency and sociodemographic and clinical characteristics of patients readmitted to the hospital within 30 days after an initial acute myocardial infarction.MethodsWe reviewed the medical records of 3116 individuals who were hospitalized for a validated first acute myocardial infarction in 6 study periods between 2003 and 2015 at the 3 major medical centers in central Massachusetts.ResultsThe median age of our population was 67 years, and 42% were women. The risk of being readmitted to the hospital within 30 days after an initial acute myocardial infarction increased slightly during the most recent study years after controlling for potentially confounding factors. Overall, older adults and patients with previously diagnosed atrial fibrillation, heart failure, diabetes, chronic kidney disease, stroke, and peripheral vascular disease were at higher risk for being readmitted to the hospital than respective comparison groups. For those hospitalized in the most recent study years of 2011/2015, a higher risk of rehospitalization was associated with a previous diagnosis of chronic kidney disease, peripheral vascular disease, the presence of 3 or more chronic conditions, and having developed atrial fibrillation or heart failure during the patient's hospitalization for a first acute myocardial infarction.ConclusionsWe identified several groups at higher risk for hospital readmission in whom enhanced surveillance efforts as well as tailored educational and treatment approaches remain needed. 相似文献
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Justin M. Glasgow Mary Vaughn-Sarrazin Peter J. Kaboli 《Journal of general internal medicine》2010,25(9):926-929
Background
With 1–2% of patients leaving the hospital against medical advice (AMA), the potential for these patients to suffer adverse health outcomes is of major concern. 相似文献10.
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Suveen Angraal Rohan Khera Shengfan Zhou Yongfei Wang Zhenqiu Lin Kumar Dharmarajan Nihar R. Desai Susannah M. Bernheim Elizabeth E. Drye Khurram Nasir Leora I. Horwitz Harlan M. Krumholz 《The American journal of medicine》2018,131(11):1324-1331.e14
Background
Temporal changes in the readmission rates for patient groups and conditions that were not directly under the purview of the Hospital Readmissions Reduction Program (HRRP) can help assess whether efforts to lower readmissions extended beyond targeted patients and conditions.Methods
Using the Nationwide Readmissions Database (2010-2015), we assessed trends in all-cause readmission rates for 1 of the 3 HRRP conditions (acute myocardial infarction, heart failure, pneumonia) or conditions not targeted by the HRRP in age-insurance groups defined by age group (≥65 years or <65 years) and payer (Medicare, Medicaid, or private insurance).Results
In the group aged ≥65 years, readmission rates for those covered by Medicare, Medicaid, and private insurance decreased annually for acute myocardial infarction (risk-adjusted odds ratio [OR; 95% confidence interval] among Medicare patients, 0.94 [0.94-0.95], among Medicaid patients, 0.93 [0.90-0.97], and among patients with private-insurance, 0.95 [0.93-0.97]); heart failure (ORs, 0.96 [0.96-0.97], 0.96 [0.94-0.98], and 0.97 [0.96-0.99], for the 3 payers, respectively), and pneumonia (ORs, 0.96 [0.96-0.97), 0.94 [0.92-0.96], and 0.96 [0.95-0.97], respectively). Readmission rates also decreased in the group aged <65 years for acute myocardial infarction (ORs: Medicare 0.97 [0.96-0.98], Medicaid 0.94 [0.92-0.95], and private insurance 0.93 [0.92-0.94]), heart failure (ORs, 0.98 [0.97-0.98]: 0.96 [0.96-0.97], and 0.97 [0.95-0.98], for the 3 payers, respectively), and pneumonia (ORs, 0.98 [0.97-0.99], 0.98 [0.97-0.99], and 0.98 [0.97-1.00], respectively). Further, readmission rates decreased significantly for non-target conditions.Conclusions
There appears to be a systematic improvement in readmission rates for patient groups beyond the population of fee-for-service, older, Medicare beneficiaries included in the HRRP. 相似文献12.
Kevin Coppa Eun Ji Kim Michael I. Oppenheim Kevin R. Bock Joseph Conigliaro Jamie S. Hirsch 《Journal of general internal medicine》2021,36(5):1214
BackgroundPost-hospital discharge follow-up appointments are intended to evaluate patients’ recovery following a hospitalization, but it is unclear how appointment statuses are associated with readmissions.ObjectiveTo examine the association between post-discharge ambulatory follow-up status, (1) having a scheduled appointment and (2) arriving to said appointment, and 30-day readmission.Design and SettingA retrospective cohort study of patients hospitalized at 12 hospitals in an Integrated Delivery Network and their ambulatory appointments in that same network.Patients and Main MeasuresWe included 50,772 patients who had an ambulatory appointment within 18 months of an inpatient admission in 2018. Primary outcome was readmission within 30 days post-discharge.Key ResultsThere were 32,108 (63.2%) patients with scheduled follow-up appointments and 18,664 (36.8%) patients with no follow-up; 28,313 (88.2%) patients arrived, 3149 (9.8%) missed, and 646 (2.0%) were readmitted prior to their scheduled appointments. Overall 30-day readmission rate was 7.3%; 6.0% [5.75–6.31] for those who arrived, 8.8% [8.44–9.25] for those without follow-up, and 10.3% [9.28–11.40] for those who missed a scheduled appointment (p < 0.001). After adjusting for covariates, patients who arrived at their appointment in the first week following discharge were significantly less likely to be readmitted than those not having any follow-up scheduled (medical adjusted hazard ratio (aHR) 0.57 [0.47–0.69], p < 0.001; surgical aHR 0.58 [0.44–0.75], p < 0.001) There was an increased risk at weeks 3 and 4 for medical patients who arrived at a follow-up compared to those with no follow-up scheduled (week 3 aHR 1.29 [1.10–1.51], p = 0.001; week 4 aHR 1.46 [1.26–1.70], p < 0.001).ConclusionsThe benefit of patients arriving to their post-discharge appointments compared with patients who missed their follow-up visits or had no follow-up scheduled, is only significant during first week post-discharge, suggesting that coordination within 1 week of discharge is critical in reducing 30-day readmissions.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11606-020-06569-5. 相似文献
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Press MJ Silber JH Rosen AK Romano PS Itani KM Zhu J Wang Y Even-Shoshan O Halenar MJ Volpp KG 《Journal of general internal medicine》2011,26(4):405-411
Background
A key goal of resident duty hour reform by the Accreditation Council for Graduate Medical Education (ACGME) in 2003 was to improve patient outcomes. 相似文献14.
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Jonathan D. Davis Margaret A. Olsen Kerry Bommarito Shane J. LaRue Mohammed Saeed Michael W. Rich Justin M. Vader 《The American journal of medicine》2017,130(1):93.e9-93.e28
Background
Thirty-day readmission following heart failure hospitalization impacts hospital performance measures and reimbursement. We investigated readmission characteristics and the magnitude of 30-day hospital readmissions after hospital discharge for heart failure using the Healthcare Cost and Utilization Project State Inpatient Databases (SID).Methods
Adults aged ≥ 40 years hospitalized with a primary discharge diagnosis of heart failure from 2007-2011 were identified in the California, New York, and Florida SIDs. Characteristics of patients with and without 7-, 8 to 30-, and 30-day readmission, and primary readmission diagnoses and risk factors for readmission were examined.Results
We identified 547,068 patients with mean age 74.7 years; 50.7% were female, and 65.4% were White. Of 117,123 patients (21.4%) readmitted within 30 days (median 12 days), 69.7% had a non-heart failure primary readmission diagnosis. Patients with 30-day readmissions more frequently had a history of previous admission with heart failure as a secondary diagnosis, fluid and electrolyte disorders, and chronic deficiency anemia. There were no significant clinical differences at baseline between those patients whose first readmission was in the first 7 days after discharge vs in the next 23 days. The most common primary diagnoses for 30-day non-heart failure readmissions were other cardiovascular conditions (14.9%), pulmonary disease (8.5%), and infections (7.7%).Conclusions
In this large all-payer cohort, ~70% of 30-day readmissions were for non-heart failure causes, and the median time to readmission was 12 days. Future interventions to reduce readmissions should focus on common comorbid conditions that contribute to readmission burden. 相似文献19.