Dataset Information

Factors associated with readmission in patients with eating disorders.

ABSTRACT:

Purpose

This study examined predictors of readmission to inpatient/residential settings in patients with eating disorders. We hypothesized that readmitted patients would report worse transitional care and continuity of care compared to those who were not readmitted.

Methods

We conducted a cross-sectional, online survey of 80 individuals from the US who reported that they were diagnosed with an eating disorder requiring inpatient/residential treatment. Participants completed questionnaires on demographic and clinical characteristics, the Care Transition Model-15, and the Continuity of Care Questionnaire. We analyzed data using univariate statistics and a series of logistic regression models.

Results

Participants who reported better transitional care (adjusted OR (AOR) = 1.14; p < 0.001), continuity of care during their inpatient or residential stay, including greater transfer of information (AOR = 6.39, p = 0.002), relationships in the hospital (AOR = 6.83, p = 0.003), management of follow-up (AOR = 3.41, p = 0.02), management of communication (AOR = 8.74, p = 0.001), and management of forms (AOR = 9.61, p = 0.002), reported increased odds of being readmitted to an inpatient or residential treatment facility. Use of nasogastric (NG) tube feedings was significantly associated with being readmitted.

Conclusions

Contrary to our hypotheses, we found that better transitional care and continuity of care were associated with higher odds of readmission.

Level of evidence

Level III, case-control analytic study.

SUBMITTER: Di Vitantonio KM

PROVIDER: S-EPMC7790843 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors associated with readmission in patients with eating disorders.

Di Vitantonio Kathryn M KM Chao Ariana M AM

Eating and weight disorders : EWD 20200708 5

<h4>Purpose</h4>This study examined predictors of readmission to inpatient/residential settings in patients with eating disorders. We hypothesized that readmitted patients would report worse transitional care and continuity of care compared to those who were not readmitted.<h4>Methods</h4>We conducted a cross-sectional, online survey of 80 individuals from the US who reported that they were diagnosed with an eating disorder requiring inpatient/residential treatment. Participants completed questi ...[more]

PMID: 32643081

Similar Datasets

Project description:Background: Heart failure (HF) is a significant cause of mortality, morbidity and impaired quality of life and is the leading cause of readmissions and hospitalization. This study aims to identify the factors contributing to readmission in patients with HF. Methods: A prospective-observational single-centre study was conducted in Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates. A total of 146 patients with HF are included in the study. Patient's demographics, patient medical characteristics, lab values, medications were collected for each patient, and the factors associated with readmission are identified. The primary outcome is to identify the factors contributing to readmission and reduce readmission rate. SPSS software for windows version 26 is used for data analysis. Results: The number of patients with heart failure admitted to hospital is higher with males (73.3%) than females. 42.1% were readmitted and were not compliant, whereas patients who are not readmitted and were compliant shows a lower percentage. Noncompliance was the most significant factor associated with readmission (p = 0.02, OR = 3.6, 95%CI: 1.57 - 8.28). Other factors that are associated with readmission were low haemoglobin (p = 0.001, OR = 0.96, 95%CI: 0.94 - 0.98), and NYHA class of HF (p = 0.023, OR = 2.22, 95%CI: 1.12 - 4.43). In addition, there are other factors that are linked with the disease but were not associated with readmission in our findings such as hypertension, coronary artery disease, gender, systolic blood pressure on admission, and age. Majority of the readmitted patients were NYHA Class IV 32/57 (56.1%) against 20/89 (22.7%) in non-readmission group. Length of stay is (Median ± IQR, 6 ± 8.5). Conclusion: The study has revealed that noncompliance, low haemoglobin and NYHA Class IV of HF were the main factors associated with readmission. Clinical pharmacist as a team member could help to improve adherence in order to reduce the rate of admission.

Project description:IntroductionHomelessness is associated with increased acute care utilization and poor healthcare outcomes. This study aims to compare hospital readmission rates among patients experiencing homelessness and patients who are not homeless and assess the impact of different clinical and demographic characteristics on acute care utilization among patients experiencing homelessness.MethodsThis was a retrospective study of patients encountered in 2018 and 2019 at ChristianaCare Health Systems. The analysis was done in August 2021. The prevalence of major chronic conditions among patients experiencing homelessness (n=1,329) and those not experiencing it (n=143,360) was evaluated. Patients experiencing homelessness were matched with nonhomeless patients using 1:1 propensity score matching. Time-to-event analysis approaches were used to analyze time-to-readmission and 30-day readmission rates.ResultsThe 30-day readmission rates were 42.8% among patients experiencing homelessness and 19.9% among matched patients not experiencing homelessness. The hazard of 30-day readmission among patients experiencing homelessness was 2.6 (95% CI=1.93, 3.53) times higher than that among the matched nonhomeless cohort. In patients experiencing homelessness, drug use disorder, major depressive disorder, chronic kidney disease, obesity, arthritis, HIV/AIDS, and epilepsy were associated with shortened time to readmission. Moreover, Black racial identity was associated with shortened time to readmission.ConclusionsPatients experiencing homelessness had higher acute care utilization than those not experiencing homelessness. Black racial identity and several comorbidities were associated with increased acute care utilization among patients experiencing homelessness. Efforts to address upstream social determinants of health, destigmatization, and healthcare management accounting for the whole spectrum of clinical comorbidities might be important in promoting the health of people experiencing homelessness.

Project description:BackgroundPeople who are homeless have a higher burden of illness and higher rates of hospital admission and readmission compared to the general population. Identifying the factors associated with hospital readmission could help healthcare providers and policymakers improve post-discharge care for homeless patients.ObjectiveTo identify factors associated with hospital readmission within 90 days of discharge from a general internal medicine unit among patients experiencing homelessness.DesignThis prospective observational study was conducted at an urban academic teaching hospital in Toronto, Canada. Interviewer-administered questionnaires and chart reviews were completed to assess medical, social, processes of care, and hospitalization data. Multivariable logistic regression with backward selection was used to identify factors associated with a subsequent readmission and estimate odds ratios and 95% confidence intervals.ParticipantsAdults (N = 129) who were admitted to the general internal medicine service between November 2017 and November 2018 and who were homeless at the time of admission.Main measuresUnplanned all-cause readmission to the study hospital within 90 days of discharge.Key resultsThirty-five of 129 participants (27.1%) were readmitted within 90 days of discharge. Factors associated with lower odds of readmission included having an active case manager (adjusted odds ratios [aOR]: 0.31, 95% CI, 0.13-0.76), having informal support such as friends and family (aOR: 0.25, 95% CI, 0.08-0.78), and sending a copy of the patient's discharge plan to a primary care physician who had cared for the patient within the last year (aOR: 0.44, 95% CI, 0.17-1.16). A higher number of medications prescribed at discharge was associated with higher odds of readmission (aOR: 1.12, 95% CI, 1.02-1.23).ConclusionInterventions to reduce hospital readmission for people who are homeless should evaluate tailored discharge planning and dedicated resources to support implementation of these plans in the community.

Project description:BackgroundRisk factors represent a range of complex variables associated with the onset, development, and course of eating disorders. Understanding these risk factors is vital for the refinement of aetiological models, which may inform the development of targeted, evidence-based prevention, early intervention, and treatment programs. This Rapid Review aimed to identify and summarise research studies conducted within the last 12 years, focusing on risk factors associated with eating disorders.MethodsThe current review forms part of a series of Rapid Reviews to be published in a special issue in the Journal of Eating Disorders, funded by the Australian Government to inform the development of the National Eating Disorder Research and Translation Strategy 2021-2031. Three databases were searched for studies published between 2009 and 2021, published in English, and comprising high-level evidence studies (meta-analyses, systematic reviews, moderately sized randomised controlled studies, moderately sized controlled-cohort studies, or population studies). Data pertaining to risk factors for eating disorders were synthesised and outlined in the current paper.ResultsA total of 284 studies were included. The findings were divided into nine main categories: (1) genetics, (2) gastrointestinal microbiota and autoimmune reactions, (3) childhood and early adolescent exposures, (4) personality traits and comorbid mental health conditions, (5) gender, (6) socio-economic status, (7) ethnic minority, (8) body image and social influence, and (9) elite sports. A substantial amount of research exists supporting the role of inherited genetic risk in the development of eating disorders, with biological risk factors, such as the role of gut microbiota in dysregulation of appetite, an area of emerging evidence. Abuse, trauma and childhood obesity are strongly linked to eating disorders, however less conclusive evidence exists regarding developmental factors such as role of in-utero exposure to hormones. Comorbidities between eating disorders and mental health disorders, including personality and mood disorders, have been found to increase the severity of eating disorder symptomatology. Higher education attainment, body image-related factors, and use of appearance-focused social media are also associated with increased risk of eating disorder symptoms.ConclusionEating disorders are associated with multiple risk factors. An extensive amount of research has been conducted in the field; however, further studies are required to assess the causal nature of the risk factors identified in the current review. This will assist in understanding the sequelae of eating disorder development and in turn allow for enhancement of existing interventions and ultimately improved outcomes for individuals.

Dataset Information

Factors associated with readmission in patients with eating disorders.

Purpose

Methods

Results

Conclusions

Level of evidence

Publications

Factors associated with readmission in patients with eating disorders.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets