Dataset Information

Hospital readmission and parent perceptions of their child's hospital discharge.

ABSTRACT:

Objective

To describe parent perceptions of their child's hospital discharge and assess the relationship between these perceptions and hospital readmission.

Design

A 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.

Setting

A tertiary-care children's hospital.

Participants

A total of 348 parents surveyed following their child's hospital discharge between March and October 2010.

Intervention

None.

Main outcome measure

Unplanned readmission within 30 days of discharge.

Results

There 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.

Conclusions

Parent 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.

SUBMITTER: Berry JG

PROVIDER: S-EPMC3786626 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Hospital readmission and parent perceptions of their child's hospital discharge.

Berry Jay G JG Ziniel Sonja I SI Freeman Linda L Kaplan William W Antonelli Richard R Gay James J Coleman Eric A EA Porter Stephanie S Goldmann Don D

International journal for quality in health care : journal of the International Society for Quality in Health Care 20130820 5

<h4>Objective</h4>To describe parent perceptions of their child's hospital discharge and assess the relationship between these perceptions and hospital readmission.<h4>Design</h4>A 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 ...[more]

PMID: 23962990

Similar Datasets

Project description:ImportanceThe Affordable Care Act has led to US national reductions in hospital 30-day readmission rates for heart failure (HF), acute myocardial infarction (AMI), and pneumonia. Whether readmission reductions have had the unintended consequence of increasing mortality after hospitalization is unknown.ObjectiveTo examine the correlation of paired trends in hospital 30-day readmission rates and hospital 30-day mortality rates after discharge.Design, setting, and participantsRetrospective study of Medicare fee-for-service beneficiaries aged 65 years or older hospitalized with HF, AMI, or pneumonia from January 1, 2008, through December 31, 2014.ExposureThirty-day risk-adjusted readmission rate (RARR).Main outcomes and measuresThirty-day RARRs and 30-day risk-adjusted mortality rates (RAMRs) after discharge were calculated for each condition in each month at each hospital in 2008 through 2014. Monthly trends in each hospital's 30-day RARRs and 30-day RAMRs after discharge were examined for each condition. The weighted Pearson correlation coefficient was calculated for hospitals' paired monthly trends in 30-day RARRs and 30-day RAMRs after discharge for each condition.ResultsIn 2008 through 2014, 2 962 554 hospitalizations for HF, 1 229 939 for AMI, and 2 544 530 for pneumonia were identified at 5016, 4772, and 5057 hospitals, respectively. In January 2008, mean hospital 30-day RARRs and 30-day RAMRs after discharge were 24.6% and 8.4% for HF, 19.3% and 7.6% for AMI, and 18.3% and 8.5% for pneumonia. Hospital 30-day RARRs declined in the aggregate across hospitals from 2008 through 2014; monthly changes in RARRs were -0.053% (95% CI, -0.055% to -0.051%) for HF, -0.044% (95% CI, -0.047% to -0.041%) for AMI, and -0.033% (95% CI, -0.035% to -0.031%) for pneumonia. In contrast, monthly aggregate changes across hospitals in hospital 30-day RAMRs after discharge varied by condition: HF, 0.008% (95% CI, 0.007% to 0.010%); AMI, -0.003% (95% CI, -0.005% to -0.001%); and pneumonia, 0.001% (95% CI, -0.001% to 0.003%). However, correlation coefficients in hospitals' paired monthly changes in 30-day RARRs and 30-day RAMRs after discharge were weakly positive: HF, 0.066 (95% CI, 0.036 to 0.096); AMI, 0.067 (95% CI, 0.027 to 0.106); and pneumonia, 0.108 (95% CI, 0.079 to 0.137). Findings were similar in secondary analyses, including with alternate definitions of hospital mortality.Conclusions and relevanceAmong Medicare fee-for-service beneficiaries hospitalized for heart failure, acute myocardial infarction, or pneumonia, reductions in hospital 30-day readmission rates were weakly but significantly correlated with reductions in hospital 30-day mortality rates after discharge. These findings do not support increasing postdischarge mortality related to reducing hospital readmissions.

Project description:ImportanceHospital readmissions contribute to higher expenditures and may sometimes reflect suboptimal patient care. Individuals discharged against medical advice (AMA) are a vulnerable patient population and may have higher risk for readmission.ObjectivesTo determine odds of readmission and mortality for patients discharged AMA vs all others, to characterize patient and hospital-level factors associated with readmissions, and to quantify their overall cost burden.Design, setting, and participantsNationally representative, all-payer cohort study using the 2014 National Readmissions Database. Eligible index admissions were nonobstetrical/newborn hospitalizations for patients 18 years and older discharged between January 2014 and November 2014. Admissions were excluded if there was a missing primary diagnosis, discharge disposition, length of stay, or if the patient died during that hospitalization. Data were analyzed between January 2018 and June 2018.ExposuresDischarge AMA and non-AMA discharge.Main outcomes and measuresThirty-day all-cause readmission and in-hospital mortality rate.ResultsThere were 19.9 million weighted index admissions, of which 1.5% resulted in an AMA discharge. Within the AMA cohort, 85% were younger than 65 years, 63% were male, 55% had Medicaid or other (including uninsured) coverage, and 39% were in the lowest income quartile. Thirty-day all-cause readmission was 21.0% vs 11.9% for AMA vs non-AMA discharge (P < .001), and 30-day in-hospital mortality was 2.5% vs 5.6% (P < .001), respectively. Individuals discharged AMA were more likely to be readmitted to a different hospital compared with non-AMA patients (43.0% vs 23.9%; P < .001). Of all 30-day readmissions, 19.0% occurred within the first day after AMA discharge vs 6.1% for non-AMA patients (P < .001). On multivariable regression, AMA discharge was associated with a 2.01 (95% CI, 1.97-2.05) increased adjusted odds of readmission and a 0.80 (95% CI, 0.74-0.87) decreased adjusted odds of in-hospital mortality compared with non-AMA discharge. Nationwide readmissions after AMA discharge accounted for more than 400 000 inpatient hospitalization days at a total cost of $822 million in 2014.Conclusions and relevanceIndividuals discharged AMA have higher odds of 30-day readmission at significant cost to the health care system and lower in-hospital mortality rates compared with non-AMA patients. Patients discharged AMA are also more likely to be readmitted to different hospitals and to have earlier bounce-back readmissions, which may reflect dissatisfaction with their initial episode of care.

Project description:ImportanceThe Centers for Medicare & Medicaid Services recently identified 30-day readmission after discharge from inpatient rehabilitation facilities as a national quality indicator. Research is needed to determine the rates and factors related to readmission in this patient population.ObjectiveTo determine 30-day readmission rates and factors related to readmission for patients receiving postacute inpatient rehabilitation.Design, setting, and patientsRetrospective cohort study of records for 736,536 Medicare fee-for-service beneficiaries (mean age, 78.0 [SD, 7.3] years) discharged from 1365 inpatient rehabilitation facilities to the community in 2006 through 2011. Sixty-three percent of patients were women, and 85.1% were non-Hispanic white.Main outcomes and measuresThirty-day readmission rates for the 6 largest diagnostic impairment categories receiving inpatient rehabilitation. These included stroke, lower extremity fracture, lower extremity joint replacement, debility, neurologic disorders, and brain dysfunction.ResultsMean rehabilitation length of stay was 12.4 (SD, 5.3) days. The overall 30-day readmission rate was 11.8% (95% CI, 11.7%-11.8%). Rates ranged from 5.8% (95% CI, 5.8%-5.9%) for patients with lower extremity joint replacement to 18.8% (95% CI, 18.8%-18.9%). for patients with debility. Rates were highest in men (13.0% [ 95% CI, 12.8%-13.1%], vs 11.0% [95% CI, 11.0%-11.1%] in women), non-Hispanic blacks (13.8% [95% CI, 13.5%-14.1%], vs 11.5% [95% CI, 11.5%-11.6%] in whites, 12.5% [95% CI, 12.1%-12.8%] in Hispanics, and 11.9% [95% CI, 11.4%-12.4%] in other races/ethnicities), beneficiaries with dual eligibility (15.1% [95% CI, 14.9%-15.4%], vs 11.1% [95% CI, 11.0%-11.2%] for no dual eligibility), and in patients with tier 1 comorbidities (25.6% [95% CI, 24.9%-26.3%], vs 18.9% [95% CI, 18.5%-19.3%] for tier 2, 15.1% [95% CI, 14.9%-15.3%] for tier 3, and 9.9% [95% CI, 9.9%-10.0%] for no tier comorbidities). Higher motor and cognitive functional status were associated with lower hospital readmission rates across the 6 impairment categories. Adjusted readmission rates by state ranged from 9.2% to 13.6%. Approximately 50% of patients rehospitalized within the 30-day period were readmitted within 11 days of discharge. Medicare Severity Diagnosis-Related Group codes for heart failure, urinary tract infection, pneumonia, septicemia, nutritional and metabolic disorders, esophagitis, gastroenteritis, and digestive disorders were common reasons for readmission.Conclusions and relevanceAmong postacute rehabilitation facilities providing services to Medicare fee-for-service beneficiaries, 30-day readmission rates ranged from 5.8% to 18.8% for selected impairment groups. Further research is needed to understand the causes of readmission.

Project description:BackgroundSeveral care transition interventions propose that post-discharge phone calls can reduce adverse events and decrease costly return visits to the hospital. However, given the multi-faceted nature of most care transitions interventions, the true relationship between post-discharge phone calls and readmissions in a real world setting is uncertain.ObjectiveTo determine the effect of receiving a post-discharge telephone call on all-cause 30-day readmission in a general medicine population.DesignRetrospective observational study.ParticipantsPatients discharged home from the Medicine Service at a tertiary care academic medical center between November 2010 and May 2012.InterventionPatients received two telephone call attempts by a nurse within 72 h of discharge. Nurses followed a standard script to address issues associated with readmission.Main outcome and measuresBilling data captured readmissions. We used logistic regression-adjusted patient and clinical covariates as well as a propensity score representing likelihood of being called to determine the association between call receipt and risk for readmission.Key resultsThere were 5,507 eligible patients. In unadjusted analyses, patients who received a call and completed the intervention were significantly less likely to be readmitted compared to those who did not [155 (5.8 %) vs 123 (8.6 %), p < 0.01]. In multivariable models adjusting for socio-demographic and clinical covariates alone, completing a post-discharge telephone call intervention was associated with lower odds for readmission (AOR 0.71; 95 % CI: 0.55-0.91). However, when models adjusted for the likelihood of receiving the phone call using the propensity score, no association between call receipt and readmission was observed (AOR 0.91; 95%CI: 0.69-1.20).ConclusionsEffectiveness of post-discharge phone call programs may be more related to whether patients are able to answer a phone call than to the care delivered by the phone call. Programs would benefit from improving their ability to perform phone outreach while simultaneously improving on the care delivered during the calls.

Project description:ImportanceHealth care in the US is often expensive for families; however, there is little transparency in the cost of medical services. The extent to which parents want cost transparency in their children's care is not well characterized.ObjectiveTo explore the preferences and experiences of parents of hospitalized children regarding the discussion and consideration of health care costs in the inpatient care of their children.Design, setting, and participantsThis cross-sectional multicenter survey study included 6 geographically diverse university-affiliated US children's hospitals from November 3, 2017, to November 8, 2018. Participants included a convenience sample of English- and Spanish-speaking parents of hospitalized children nearing hospital discharge. Data were analyzed from January 1, 2020, to June 25, 2021.Main outcomes and measuresParents' preferences and experiences regarding transparency of their child's health care costs. Multivariable linear regression examined associations between clinical and sociodemographic variables with parents' preferences for knowing, discussing, and considering costs in the clinical setting. Factors included family financial difficulties, child's level of chronic disease, insurance payer, deductible, family poverty level, race, ethnicity, parental educational level, and study site.ResultsOf 644 invited participants, 526 (82%) were enrolled (290 [55%] male), of whom 362 (69%) were White individuals, 400 (76%) were non-Hispanic/Latino individuals, and 274 (52%) had children with private insurance. Overall, 397 families (75%) wanted to discuss their child's medical costs, but only 36 (7%) reported having a cost conversation. If cost discussions were to occur, 294 families (56%) would prefer to speak to a financial counselor. Ninety-eight families (19%) worried discussing costs would hurt the quality of their child's care. Families with a medical financial burden unrelated to their hospitalized child had higher mean agreement that their child's physician should consider the family's costs in medical decision-making than families without a medical financial burden (effect size, 0.55 [95% CI, 0.18-0.92]). No variables were consistently associated with cost transparency preferences.Conclusions and relevanceMost parents want to discuss their child's costs during an acute hospitalization. Discussions of health care costs may be an important, relatively unexplored component of family-centered care. However, these discussions rarely occur, indicating a tremendous opportunity to engage and support families in this issue.

Dataset Information

Hospital readmission and parent perceptions of their child's hospital discharge.

Objective

Design

Setting

Participants

Intervention

Main outcome measure

Results

Conclusions

Publications

Hospital readmission and parent perceptions of their child's hospital discharge.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets