Comparison of Parent Report with Administrative Data to Identify Pediatric Reutilization Following Hospital Discharge.
Ontology highlight
ABSTRACT:
SUBMITTER: Statile AM
PROVIDER: S-EPMC6613522 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:ObjectiveTo describe parent perceptions of their child's hospital discharge and assess the relationship between these perceptions and hospital readmission.DesignA prospective study of parents surveyed with questions adapted from the care transitions measure, an adult survey that assesses components of discharge care. Participant answers, scored on a 5-point Likert scale, were compared between children who did and did not experience a readmission using a Fisher's exact test and logistic regression that accounted for patient characteristics associated with increased readmission risk, including complex chronic condition and assistance with medical technology.SettingA tertiary-care children's hospital.ParticipantsA total of 348 parents surveyed following their child's hospital discharge between March and October 2010.InterventionNone.Main outcome measureUnplanned readmission within 30 days of discharge.ResultsThere were 28 children (8.1%) who experienced a readmission. Children had a lower readmission rate (4.4 vs. 11.3%, P = 0.004) and lower adjusted readmission likelihood [odds ratio 0.2 (95% confidence interval 0.1, 0.6)] when their parents strongly agreed (n = 206) with the statement, 'I felt that my child was healthy enough to leave the hospital' from the index admission. Parent perceptions relating to care management responsibilities, medications, written discharge plan, warning signs and symptoms to watch for and primary care follow-up were not associated with readmission risk in multivariate analysis.ConclusionsParent perception of their child's health at discharge was associated with the risk of a subsequent, unplanned readmission. Addressing concerns with this perception prior to hospital discharge may help mitigate readmission risk in children.
| S-EPMC3786626 | biostudies-literature
Project description:OBJECTIVE:Efforts to decrease hospital revisits often focus on improving access to outpatient follow-up. Our objective was to assess the relationship between perceived access to timely office-based care and subsequent 30-day revisits following hospital discharge for 4 common respiratory illnesses. METHODS:This was a prospective cohort study of children 2 weeks to 16years admitted to 5 US children's hospitals for asthma, bronchiolitis, croup, or pneumonia between July 2014 and June 2016. Hospital and emergency department (ED) (in the case of croup) admission surveys administered to caregivers included the Consumer Assessments of Healthcare Providers and Systems Timely Access to Care. Access composite scores (range 0-100, with greater scores indicating better access) were linked with 30-day ED revisits and inpatient readmissions from the Pediatric Health Information System. The relationship between access to timely care and repeat utilization was assessed using multivariable logistic regression adjusting for demographics, hospitalization, and home/outpatient factors. RESULTS:Of the 2438 children enrolled, 2179 (89%) reported an office visit in the previous 6 months. Average access composite score was 52.0 (standard deviation, 36.3). In adjusted analyses, greater access scores were associated with greater odds of 30-day ED revisits (odds ratio [OR]?=?1.07; 95% confidence interval [CI], 1.02-1.13)-particularly for croup (OR?=?1.17; 95% CI, 1.02-1.36)-but not inpatient readmissions (OR?=?1.02; 95% CI, 0.96-1.09). CONCLUSIONS:Perceived access to timely office-based care was associated with significantly greater odds of subsequent ED revisit. Focusing solely on enhancing timely access to care following discharge for common respiratory illnesses may be insufficient to prevent repeat utilization.
| S-EPMC6347552 | biostudies-literature
Project description:Many of nearly 7 million smokers who are hospitalized each year plan to stay quit after they leave the hospital. Most, however, relapse after discharge. This is a secondary analysis of a large Midwestern hospital-based smoking cessation trial that occurred between July 2011 and May 2013 to better understand how quickly smokers relapse and the predictors of rapid relapse. Of 942 participants who completed follow up, 25% returned to smoking within a day after hospital discharge. Among these rapid relapses, 36.6% relapsed within one-hour of leaving the hospital, 35.3% between one and 24 h, and 28.1% relapsed one-day post-discharge. Predictors with the highest odds for rapid relapse (within a day of hospital discharge) included tobacco use during hospitalization (OR, 7.37, [95% CI, 3.85-14.13], P < 0.01); low confidence for quitting (OR, 2.07, [95% CI, 1.49-2.88], P < 0.01); and not setting a quit date (OR, 1.76, [95% CI, 1.25-2.48], P < 0.01). Other significant predictors included higher nicotine dependence, shorter length of stay, and depression. Patients who are vulnerable to rapid relapse may benefit from policies that discourage leaving the hospital to smoke. In addition, hospital interventions that target smokers' confidence in quitting, encourage setting a quit date, and addressing nicotine dependence and depression may also be effective at supporting smoker's intentions to make their pre-admission cigarette their last. Clinical Trials Registration NCT01305928.
| S-EPMC6543250 | biostudies-literature
Project description:ContextMany of the publicly available health quality report cards are based on administrative data. ICD-9-CM codes in administrative data are not date stamped to distinguish between medical conditions present at the time of hospital admission and complications, which occur after hospital admission. Treating complications as preexisting conditions gives poor-performing hospitals "credit" for their complications and may cause some hospitals that are delivering low-quality care to be misclassified as average- or high-performing hospitals.ObjectiveTo determine whether hospital quality assessment based on administrative data is impacted by the inclusion of condition present at admission (CPAA) modifiers in administrative data as a date stamp indicator.Design, setting, and patientsRetrospective cohort study based on 648,866 inpatient admissions between 1998 and 2000 for coronary artery bypass graft (CABG) surgery, coronary angioplasty (PTCA), carotid endarterectomy (CEA), abdominal aortic aneurysm (AAA) repair, total hip replacement (THR), acute MI (AMI), and stroke using the California State Inpatient Database which includes CPAA modifiers. Hierarchical logistic regression was used to create separate condition-specific risk adjustment models. For each study population, one model was constructed using only secondary diagnoses present at admission based on the CPAA modifier: "date stamp" model. The second model was constructed using all secondary diagnoses, ignoring the information present in the CPAA modifier: the "no date stamp model." Hospital quality was assessed separately using the "date stamp" and the "no date stamp" risk-adjustment models.ResultsForty percent of the CABG hospitals, 33 percent of the PTCA hospitals, 40 percent of the THR hospitals, and 33 percent of the AMI hospitals identified as low-performance hospitals by the "date stamp" models were not classified as low-performance hospitals by the "no date stamp" models. Fifty percent of the CABG hospitals, 33 percent of the PTCA hospitals, 50 percent of the CEA hospitals, and 36 percent of the AMI hospitals identified as low-performance hospitals by the "no date stamp" models were not identified as low-performance hospitals by the "date stamp" models. The inclusion of the CPAA modifier had a minor impact on hospital quality assessment for AAA repair, stroke, and CEA.ConclusionThis study supports the hypothesis that the use of routine administrative data without date stamp information to construct hospital quality report cards may result in the mis-identification of hospital quality outliers. However, the CPAA modifier will need to be further validated before date stamped administrative data can be used as the basis for health quality report cards.
| S-EPMC1797077 | biostudies-literature
Project description:ObjectiveTo compare the clinical and procedural characteristics of emergency hospital admissions for drug poisoning and major diseases.DesignRetrospective observational study.SettingDischarged patients from 855 acute care hospitals from 1 July to 31 December in 2008 in Japan.ResultsThere were a total of 1 157 893 emergency hospital admissions. Among the top 100 causes, drug poisoning was ranked higher in terms of the percentage of patients using ambulance services (74.1%; second) and tertiary emergency medical services (37.8%; first). Despite higher utilisation of emergency care resources, drug poisoning ranked lower in terms of the median length of stay (2 days; 100th), percentage of requirement for surgical procedures (1.7%; 91st) and inhospital mortality ratio (0.3%; 74th).ConclusionsDrug poisoning is unique among the top 100 causes of emergency admissions. Our findings suggest that drug poisoning imposes a greater burden on emergency care resources but has a less severe clinical course than other causes of admissions. Future research should focus on strategies to reduce the burden of drug poisoning on emergency medical systems.
| S-EPMC3533045 | biostudies-literature
Project description:AimsMedication-related harm (MRH) is common in older adults following hospital discharge. In resource-limited health systems, interventions to reduce this risk can be targeted at high-risk patients. This study aims to determine whether (1) doctors can predict which older patients will experience MRH requiring healthcare following hospital discharge, (2) clinical experience and confidence in prediction influence the accuracy of the prediction.MethodsThis was a multicentre observational prospective study involving five teaching hospitals in England between September 2013 and November 2015. Doctors discharging patients (aged ?65 years) from medical wards predicted the likelihood of their patient experiencing MRH requiring healthcare (hospital readmission or community healthcare) in the initial 8-week period post-discharge. Patients were followed up by senior pharmacists to determine MRH occurrence.ResultsData of 1066 patients (83%) with completed predictions and follow-up, out of 1280 recruited patients, were analysed. Patients had a median age of 82 years (65-103 years), and 58% were female. Most predictions (85%) were made by junior doctors with less than 5 years' clinical experience. There was no relationship between doctors' predictions and patient MRH (OR 1.10, 95% CI 0.82-1.46, P = 0.53), irrespective of years of clinical experience. Doctors' predictions were more likely to be accurate when they reported higher confidence in their prediction, especially in predicting MRH-associated hospital readmissions (OR 1.58, 95% CI 1.42-1.76, P < 0.001).ConclusionsClinical judgement of doctors is not a reliable tool to predict MRH in older adults post-discharge.
| S-EPMC6138491 | biostudies-literature
Project description:ObjectivePressure ulcer development is a quality of care indicator, as pressure ulcers are potentially preventable. Yet pressure ulcer is a leading cause of morbidity, discomfort and additional healthcare costs for inpatients. Methods are lacking for accurate surveillance of pressure ulcer in hospitals to track occurrences and evaluate care improvement strategies. The main study aim was to validate hospital discharge abstract database (DAD) in recording pressure ulcers against nursing consult reports, and to calculate prevalence of pressure ulcers in Alberta, Canada in DAD. We hypothesised that a more inclusive case definition for pressure ulcers would enhance validity of cases identified in administrative data for research and quality improvement purposes.SettingA cohort of patients with pressure ulcers were identified from enterostomal (ET) nursing consult documents at a large university hospital in 2011.ParticipantsThere were 1217 patients with pressure ulcers in ET nursing documentation that were linked to a corresponding record in DAD to validate DAD for correct and accurate identification of pressure ulcer occurrence, using two case definitions for pressure ulcer.ResultsUsing pressure ulcer definition 1 (7 codes), prevalence was 1.4%, and using definition 2 (29 codes), prevalence was 4.2% after adjusting for misclassifications. The results were lower than expected. Definition 1 sensitivity was 27.7% and specificity was 98.8%, while definition 2 sensitivity was 32.8% and specificity was 95.9%. Pressure ulcer in both DAD and ET consultation increased with age, number of comorbidities and length of stay.ConclusionDAD underestimate pressure ulcer prevalence. Since various codes are used to record pressure ulcers in DAD, the case definition with more codes captures more pressure ulcer cases, and may be useful for monitoring facility trends. However, low sensitivity suggests that this data source may not be accurate for determining overall prevalence, and should be cautiously compared with other prevalence studies.
| S-EPMC5629722 | biostudies-literature
Project description:ObjectiveTo produce comparable risk-adjusted outcome rates for an international sample of hospitals in a collaborative project to share outcomes and learning.Data sourcesAdministrative data varying in scope, format, and coding systems were pooled from each participating hospital for the years 2005-2010.Study designFollowing reconciliation of the different coding systems in the various countries, in-hospital mortality, unplanned readmission within 30 days, and "prolonged" hospital stay (>75th percentile) were risk-adjusted via logistic regression. A web-based interface was created to facilitate outcomes analysis for individual medical centers and enable peer comparisons. Small groups of clinicians are now exploring the potential reasons for variations in outcomes in their specialty.Principal findingsThere were 6,737,211 inpatient records, including 214,622 in-hospital deaths. Although diagnostic coding depth varied appreciably by country, comorbidity weights were broadly comparable. U.S. hospitals generally had the lowest mortality rates, shortest stays, and highest readmission rates.ConclusionsIntercountry differences in outcomes may result from differences in the quality of care or in practice patterns driven by socio-economic factors. Carefully managed administrative data can be an effective resource for initiating dialog between hospitals within and across countries. Inclusion of important outcomes beyond hospital discharge would increase the value of these analyses.
| S-EPMC3876394 | biostudies-literature
Project description: Not available
| S-EPMC9310193 | biostudies-literature
Project description:BackgroundThe national Epithor database was initiated in 2003 in France. Fifteen years on, a quality assessment of the recorded data seemed necessary. This study examines the completeness of the data recorded in Epithor through a comparison with the French PMSI database, which is the national medico-administrative reference database. The aim of this study was to demonstrate the influence of data quality with respect to identifying 30-day mortality hospital outliers.MethodsWe used each hospital's individual FINESS code to compare the number of pulmonary resections and deaths recorded in Epithor to the figures found in the PMSI. Centers were classified into either the good-quality data (GQD) group or the low-quality data (LQD) group. To demonstrate the influence of case-mix quality on the ranking of centers with low-quality data, we used 2 methods to estimate the standardized mortality rate (SMR). For the first (SMR1), the expected number of deaths per hospital was estimated with risk-adjustment models fitted with low-quality data. For the second (SMR2), the expected number of deaths per hospital was estimated with a linear predictor for the LQD group using the coefficients of a logistic regression model developed from the GQD group.ResultsOf the hospitals that use Epithor, 25 were classified in the GQD group and 75 in the LQD group. The 30-day mortality rate was 2.8% (n = 300) in the GQD group vs. 1.9% (n = 181) in the LQD group (P <0.0001). The between-hospital differences in SMR1 appeared substantial (interquartile range (IQR) 0-1.036), and they were even higher in SMR2 (IQR 0-1.19). SMR1 identified 7 hospitals as high-mortality outliers. SMR2 identified 4 hospitals as high-mortality outliers. Some hospitals went from non-outlier to high mortality and vice-versa. Kappa values were roughly 0.46 and indicated moderate agreement.ConclusionWe found that most hospitals provided Epithor with high-quality data, but other hospitals needed to improve the quality of the information provided. Quality control is essential for this type of database and necessary for the unbiased adjustment of regression models.
| S-EPMC6655697 | biostudies-literature