A quantitative analysis of the effect of continuity of care on 30-day readmission and in-hospital mortality among patients with acute ischemic stroke

Associations between continuity of care, perceived control and self-care and their impact on health-related quality of life and hospital readmission-A structural equation model

AIM

The aim of this study is to examine whether a conceptual model including the associations between continuity of care, perceived control and self-care could explain variations in health-related quality of life and hospital readmissions in people with chronic cardiac conditions after hospital discharge.

DESIGN

Correlational design based on cross-sectional data from a multicentre survey study.

METHODS

People hospitalized due to angina, atrial fibrillation, heart failure or myocardial infarction were included at four hospitals using consecutive sampling procedures during 2017-2019. Eligible people received questionnaires by regular mail 4-6 weeks after discharge. A tentative conceptual model describing the relationship between continuity of care, self-care, perceived control, health-related quality of life and readmission was developed and evaluated using structural equation modelling.

RESULTS

In total, 542 people (mean age 75 years, 37% females) were included in the analyses. According to the structural equation model, continuity of care predicted self-care, which in turn predicted health-related quality of life and hospital readmission. The association between continuity of care and self-care was partly mediated by perceived control. The model had an excellent model fit: RMSEA = 0.06, 90% CI, 0.05-0.06; CFI = 0.90; TLI = 0.90.

CONCLUSION

Interventions aiming to improve health-related quality of life and reduce hospital readmission rates should focus on enhancing continuity of care, perceived control and self-care.

IMPACT

This study reduces the knowledge gap on how central factors after hospitalization, such as continuity of care, self-care and perceived control, are associated with improved health-related quality of life and hospital readmission in people with cardiac conditions. The results suggest that these factors together predicted the quality of life and readmissions in this sample. This knowledge is relevant to researchers when designing interventions or predicting health-related quality of life and hospital readmission. For clinicians, it emphasizes that enhancing continuity of care, perceived control and self-care positively impacts clinical outcomes.

PATIENT OR PUBLIC CONTRIBUTION

People and healthcare personnel evaluated content validity and were included in selecting items for the short version.

Development of a Readiness for Hospital Discharge assessment tool in Thai patients with stroke

Background

The transition from hospital to home among patients with stroke is quite challenging. If the patients are not ready for hospital discharge, their condition may worsen, which also causes a high rate of readmission. Although instruments to measure readiness for hospital discharge exist, none of them fit with the Thailand context.

Objective

This study aimed to develop a Readiness for Hospital Discharge assessment tool in Thai patients with stroke.

Methods

The study was conducted from February to September 2020, which consisted of several steps: 1) conducting an extensive literature review, 2) content validity with five experts, 3) pilot testing with 30 samples, and 4) field testing with 348 participants. Content validity index (CVI) was used to measure the content validity, Cronbach's alpha and inter-item correlation to evaluate reliability, and multiple logistic regression analysis to measure the construct validity.

Results

The findings showed good validity and reliability, with I-CVI of 0.85, Cronbach's alpha of 0.94, and corrected item-total correlation ranging from 0.43 to 0.86. The construct validity was demonstrated through the results of regression analysis showing that the nine variables include level of consciousness (OR = 0.544; CI 95% = 0.311 - 0.951), verbal response (OR = 0.445; 95% CI 0.272- 0.729), motor power right leg (OR = 0.165; 95% CI 0.56- 0.485), visual field (OR = 0.188; 95% CI 0.60-0.587), dysphagia (OR = 0.618; 95% CI 0.410-0.932), mobility (OR = 0.376; 95% CI 0.190 - 0.741), self-feeding (OR = 0.098; 95% CI 0.036 -0.265), bathing (OR = 0.099; 95% CI 0.026-0.378), and bladder control (OR = 0.589; 95% CI 0.355-0.977) that significantly influenced the hospital readmission within 30 days in patients with stroke.

Conclusion

The Readiness for Hospital Discharge assessment tool is valid and reliable. Healthcare providers, especially nurses, can use this tool to assess discharge conditions for patients with stroke with greater accuracy in predicting hospital readmission.

Transitions of Care Coordination Intervention Identifies Barriers to Discharge in Hospitalized Stroke Patients

Background: Prolonged hospital lengths of stay increase costs, delay rehabilitation, and expose acute ischemic stroke patients to hospital-acquired infections. We designed and implemented a nurse-driven transitions of care coordinator (TOCC) program to facilitate the transition of care from the acute care hospital setting to rehabilitation centers and home.

Methods: This was a single-blinded, prospective, randomized pilot study of 40 participants to evaluate the feasibility of implementing a TOCC program led by a stroke nurse navigator in hospitalized acute ischemic stroke patients. The intervention consisted of a stroke nurse navigator completing eight specific tasks, including meeting with stroke patients and their families, facilitating communication between team members at multi-disciplinary rounds, assisting with referrals to rehabilitation facilities, providing stroke education, and arranging stroke clinic follow-up appointments, which were confirmed to be completed by independent study personnel. The primary outcome was to assess the feasibility of the program. The secondary outcomes included comparing hospital length of stay (LOS) and patient satisfaction between the TOCC and usual care groups. We also explored the association between patient-level variables and LOS.

Results: The TOCC program was feasible with all pre-specified components completed in 84.2% (95% CI: 60.4–96.6%) and was not significantly different from the assumed completion rate of 75% (p = 0.438). There was no significant difference in median LOS between the two groups [TOCC 5.95 days (4.02, 9.57) vs. usual care 4.01 days (2.00, 10.45), false discovery rate (FDR)-adjusted p = 0.138]. There was a trend toward higher patient median satisfaction in the TOCC group [TOCC 35.00 (33.00, 35.00) vs. usual care 30 (26.00, 35.00), FDR-adjusted p = 0.1] as assessed by a questionnaire at 30 days after discharge. The TOCC study allowed us to identify patient variables (gender, insurance, stroke severity, and discharge disposition) that were significantly associated with longer hospital LOS.

Conclusion: A TOCC program is feasible and can serve as a guide for future allocation of resources to facilitate transitions of care and avoid prolonged hospital stays.

The Effect of Continuity of Care and Provider Volume on Late Presentation of Glaucoma: A Nested Case-Control Study

PRCIS

Glaucoma late presentation is not associated with continuity of care. However, it is associated with frequency of physician visits and physician volume.

PURPOSE

Late presentation of glaucoma often causes blindness. Continuity of care (COC) has been the central element in primary care. We investigated whether COC, frequency of visits to ophthalmology departments, and provider experience can reduce late presentation.

METHODS

We conducted a nested case-control study on patients aged above 20 years with confirmed glaucoma diagnosis. Claims data from the Taiwan's National Health Insurance Research Database during 2007 to 2016 were linked to the Disability Registry (n=231,330) to identify patients with glaucoma late presentation. Physician experience was proxied using service volume. Logistic regression was estimated using matched samples.

RESULTS

A total of 111 patients satisfied the definition of late presentation. Patients with a low frequency of visits had lower odds of being in the late-presentation group (odds ratio=0.39, 95% confidence interval=0.18-0.81). COC index did not statistically affect late presentation. Old age and lower socioeconomic status were significantly associated with higher odds of late presentation. A statistically significant negative association was observed between physician volume and odds of late presentation.

CONCLUSION

Late presentation for glaucoma can be reduced by promoting more frequent physician visits. However, enhancement from the provider-side, such as spreading awareness and offering routine tests, also play essential role in reducing late presentation.