Effects of an Intensive Discharge Intervention on Medication Adherence, Glycemic Control, and Readmission Rates in Patients With Type 2 Diabetes

Transfers between health facilities of people living with diabetes attending primary health care services in the Western Cape Province of South Africa: A retrospective cohort study

OBJECTIVES

Transfers between health facilities of people living with HIV attending primary health care (PHC) including hospital to PHC facility, PHC facility to hospital and PHC facility to PHC facility transfers occur frequently, affect health service planning, and are associated with disengagement from care and viraemia. Data on transfers among people living with diabetes attending PHC, particularly transfers between PHC facilities, are few. We assessed the transfer incidence rate of people living with diabetes attending PHC, and the association between transfers between PHC facilities and subsequent HbA1c values.

METHODS

We analysed data on HbA1c tests at public sector facilities in the Western Cape Province (2016-March 2020). Individuals with an HbA1c in 2016-2017 were followed-up for 27 months and included in the analysis if ≥18 years at first included HbA1c, ≥2 HbA1cs during follow-up and ≥1 HbA1c at a PHC facility. A visit interval was the duration between two consecutive HbA1cs. Successive HbA1cs at different facilities of any type indicated any transfer, and HbA1cs at different PHC facilities indicated a transfer between PHC facilities. Mixed effects logistic regression adjusted for sex, age, rural/urban facility attended at the start of the visit interval, disengagement (visit interval >14 months) and a hospital visit during follow-up assessed the association between transfers between PHC facilities and HbA1c >8%.

RESULTS

Among 102,813 participants, 22.6% had ≥1 transfer of any type. Including repeat transfers, there were 29,994 transfers (14.4 transfers per 100 person-years, 95% confidence interval [CI] 14.3-14.6). A total of 6996 (30.1%) of those who transferred had a transfer between PHC facilities. Visit intervals with a transfer between PHC facilities were longer (349 days, interquartile range [IQR] 211-503) than those without any transfer (330 days, IQR 182-422). The adjusted relative odds of an HbA1c ≥8% after a transfer between PHC facilities versus no transfer were 1.20 (95% CI 1.05-1.37).

CONCLUSION

The volume of transfers involving PHC facilities requires consideration when planning services. Individuals who transfer between PHC facilities require additional monitoring and support.

Improved Outcomes in Eosinophilic Esophagitis with Higher Medication Possession Ratio

Eosinophilic esophagitis (EoE) disease activity can be caused by treatment non-adherence. Medication possession ratio (MPR) is an established metric of medication adherence. A higher MPR correlates with better outcomes in several chronic diseases, but MPR has not been investigated with respect to EoE. A retrospective cohort study was performed using an established EoE registry for the years 2005 to 2020. Treatment periods were identified, MPRs were calculated, and medical records were assessed for histologic remission (<15 eos/hpf), dysphagia, food impaction, stricture occurrence, and esophageal dilation that corresponded to each treatment period. In total, 275 treatment periods were included for analysis. The MPR in the histologic remission treatment period group was 0.91 (IQR 0.63-1) vs. 0.63 (IQR 0.31-0.95) for the non-remission treatment period group (p < 0.001). The optimal MPR cut-point for histologic remission was 0.7 (Sen 0.66, Spec 0.62, AUC 0.63). With MPRs ≥ 0.7, there were significantly increased odds of histologic remission (odds ratio 3.05, 95% confidence interval 1.79-5.30) and significantly decreased odds of dysphagia (OR 0.27, 95% CI 0.15-0.45), food impaction (OR 0.26, 95% CI 0.11-0.55), stricture occurrence (OR 0.52 95% CI 0.29-0.92), and esophageal dilation (OR 0.29, 95% CI 0.15-0.54). Assessing MPR before repeating an esophagogastroduodenoscopy may decrease unnecessary procedures in the clinical management of eosinophilic esophagitis.

Identifying and mapping measures of medication safety during transfer of care in a digital era: a scoping literature review

BACKGROUND

Measures to evaluate high-risk medication safety during transfers of care should span different safety dimensions across all components of these transfers and reflect outcomes and opportunities for proactive safety management.

OBJECTIVES

To scope measures currently used to evaluate safety interventions targeting insulin, anticoagulants and other high-risk medications during transfers of care and evaluate their comprehensiveness as a portfolio.

METHODS

Embase, Medline, Cochrane and CINAHL databases were searched using scoping methodology for studies evaluating the safety of insulin, anticoagulants and other high-risk medications during transfer of care. Measures identified were extracted into a spreadsheet, collated and mapped against three frameworks: (1) 'Key Components of an Ideal Transfer of Care', (2) work systems, processes and outcomes and (3) whether measures captured past harms, events in real time or areas of concern. The potential for digital health systems to support proactive measures was explored.

RESULTS

Thirty-five studies were reviewed with 162 measures in use. Once collated, 29 discrete categories of measures were identified. Most were outcome measures such as adverse events. Process measures included communication and issue identification and resolution. Clinic enrolment was the only work system measure. Twenty-four measures captured past harm (eg, adverse events) and six indicated future risk (eg, patient feedback for organisations). Two real-time measures alerted healthcare professionals to risks using digital systems. No measures were of advance care planning or enlisting support.

CONCLUSION

The measures identified are insufficient for a comprehensive portfolio to assess safety of key medications during transfer of care. Further measures are required to reflect all components of transfers of care and capture the work system factors contributing to outcomes in order to support proactive intervention to reduce unwanted variation and prevent adverse outcomes. Advances in digital technology and its employment within integrated care provide opportunities for the development of such measures.

Patient- and family-centred care transition interventions for adults: a systematic review and meta-analysis of RCTs

Although patient centredness is part of providing high-quality health care, little is known about the effectiveness of care transition interventions that involve patients and their families on readmissions to the hospital or emergency visits post-discharge. This systematic review (SR) aimed to examine the evidence on patient- and family-centred (PFC) care transition interventions and evaluate their effectiveness on adults' hospital readmissions and emergency department (ED) visits after discharge. Searches of Medline, CINAHL, and Embase databases were conducted from the earliest available online year of indexing up to and including 14 March 2021. The studies included: (i) were about care transitions (hospital to home) of ≥18-year-old patients; (ii) had components of patient-centred care and care transition frameworks; (iii) reported on one or more outcomes were among hospital readmissions and ED visits after discharge; and (iv) were cluster-, pilot- or randomized-controlled trials published in English or French. Study selection, data extraction, and risk of bias assessment were completed by two independent reviewers. A narrative synthesis was performed, and pooled odd ratios, standardized mean differences, and mean differences were calculated using a random-effects meta-analysis. Of the 10,021 citations screened, 50 trials were included in the SR and 44 were included in the meta-analyses. Care transition intervention types included health assessment, symptom and disease management, medication reconciliation, discharge planning, risk management, complication detection, and emotional support. Results showed that PFC care transition interventions significantly reduced the risk of hospital readmission rates compared to usual care [incident rate ratio (IRR), 0.86; 95% confidence interval (CI), 0.75-0.98; I2 = 73%] regardless of time elapsed since discharge. However, these same interventions had minimal impact on the risk of ED visit rates compared to usual care group regardless of time passed after discharge (IRR, 1.00; 95% CI, 0.85-1.18; I2 = 29%). PFC care transition interventions containing a greater number of patient-centred care (IRR, 0.73; 95% CI, 0.57-0.94; I2 = 59%) and care transition components (IRR, 0.76; 95% CI, 0.64-0.91; I2 = 4%) significantly decreased the risk of patients being readmitted. However, these interventions did not significantly increase the risk of patients visiting the ED after discharge (IRR, 1.54; CI 95%, 0.91-2.61). Future interventions should focus on patients' and families' values, beliefs, needs, preferences, race, age, gender, and social determinants of health to improve the quality of adults' care transitions.

Staff knowledge, attitudes and practices regarding glycaemic management in adult intensive care units: A national survey

BACKGROUND

Hyperglycaemia is common in critically ill adult patients. Many studies have identified the content, methods, and effects of glycaemic control but have not explored the effects of knowledge, attitudes, and practices (KAP) on glycaemic control in critically ill adults. Various factors also influence the KAP of intensive care unit (ICU) staff.

AIMS

To assess KAP regarding glucose management for critically ill adults among nurses and medical professionals and identify the factors that influence their KAP in ICUs.

METHODS

A multicentre cross-sectional survey.

RESULTS

In total, 403/459 (response rate: 87.8%) participants from ICUs in nine tertiary hospitals in China participated in this study, 82.4% of whom were female and 93.4% of whom were nurses. The mean work experience was 8.88 years, and the mean critical care experience was 6.59 years. The scoring rate for the three dimensions of knowledge, attitudes, and practices were 82.35%, 87.69%, and 76%, respectively. We did not find any other factors affecting the KAP scores except for the level of knowledge awareness (p < 0.001), awareness of the importance (p < 0.001), and training for glucose control (p = 0.004).

CONCLUSION

ICU staff KAP regarding glycaemic control in critically ill adults among ICU professionals were acceptable in China. However, ICU professionals' current knowledge regarding nutrition, glucose variability, and skills related to glucose management could be improved.

RELEVANCE TO CLINICAL PRACTICE

ICU educators should provide more skills-related training for healthcare professionals in the glycaemic management of critically ill adults. Moreover, the process of managing blood glucose in adult ICU patients is a collaborative, multidisciplinary team effort, with monitoring and feedback required during implementation.

Transitional Care Interventions From Hospital to Community to Reduce Health Care Use and Improve Patient Outcomes: A Systematic Review and Network Meta-Analysis

Importance

Discharge from the hospital to the community has been associated with serious patient risks and excess service costs.

Objective

To evaluate the comparative effectiveness associated with transitional care interventions with different complexity levels at improving health care utilization and patient outcomes in the transition from the hospital to the community.

Data Sources

CENTRAL, Embase, MEDLINE, and PsycINFO were searched from inception until August 2022.

Study Selection

Randomized clinical trials evaluating transitional care interventions from hospitals to the community were identified.

Data Extraction and Synthesis

At least 2 reviewers were involved in all data screening and extraction. Random-effects network meta-analyses and meta-regressions were applied. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed.

Main Outcomes and Measures

The primary outcomes were readmission at 30, 90, and 180 days after discharge. Secondary outcomes included emergency department visits, mortality, quality of life, patient satisfaction, medication adherence, length of stay, primary care and outpatient visits, and intervention uptake.

Results

Overall, 126 trials with 97 408 participants were included, 86 (68%) of which were of low risk of bias. Low-complexity interventions were associated with the most efficacy for reducing hospital readmissions at 30 days (odds ratio [OR], 0.78; 95% CI, 0.66 to 0.92) and 180 days (OR, 0.45; 95% CI, 0.30 to 0.66) and emergency department visits (OR, 0.68; 95% CI, 0.48 to 0.96). Medium-complexity interventions were associated with the most efficacy at reducing hospital readmissions at 90 days (OR, 0.64; 95% CI, 0.45 to 0.92), reducing adverse events (OR, 0.42; 95% CI, 0.24 to 0.75), and improving medication adherence (standardized mean difference [SMD], 0.49; 95% CI, 0.30 to 0.67) but were associated with less efficacy than low-complexity interventions for reducing readmissions at 30 and 180 days. High-complexity interventions were most effective for reducing length of hospital stay (SMD, -0.20; 95% CI, -0.38 to -0.03) and increasing patient satisfaction (SMD, 0.52; 95% CI, 0.22 to 0.82) but were least effective for reducing readmissions at all time periods. None of the interventions were associated with improved uptake, quality of life (general, mental, or physical), or primary care and outpatient visits.

Conclusions and Relevance

These findings suggest that low- and medium-complexity transitional care interventions were associated with reducing health care utilization for patients transitioning from hospitals to the community. Comprehensive and consistent outcome measures are needed to capture the patient benefits of transitional care interventions.

The Impact of Electronic Health Record Interventions on Patient Access to Post-Hospital Discharge Prescriptions

Purpose: Assess the impact of electronic health record interventions on patient access to post-hospital discharge prescriptions. Methods: Five interventions were implemented in the electronic health record to improve patient access to prescriptions after discharge from hospital: electronic prior authorization, alternative medication suggestions, order sets, mail order pharmacy alerts, and medication interchange instructions. This was a retrospective cohort study of patient responses from discharges during 6 months before the first intervention implementation and 6 months after the last intervention implementation documented in the electronic health record and a transition-in-care platform. Primary endpoint was the proportion of discharges with patient-reported issues that would have been prevented by the studied interventions out of number of discharges with at least one prescription, analyzed using Chi-squared test (level of significance .05). Results: Discharges with patient-reported issues that would have been prevented by the studied interventions decreased from 1.68 to 1.07 out of 1000 discharges with prescriptions (P < .001). Conclusion: Interventions in the electronic health record reduced barriers faced by patients to picking up prescriptions post-discharge from hospital, potentially leading to improved patient satisfaction and improved health outcomes. Important factors to consider for electronic health record intervention implementation are workflow development and intrusiveness of clinical decision support. Multiple targeted electronic health record interventions can improve patients' access to prescriptions after discharge from hospital.

Hospital Readmission Risk and Risk Factors of People with a Primary or Secondary Discharge Diagnosis of Diabetes

Hospital readmission among people with diabetes is common and costly. A better understanding of the differences between people requiring hospitalization primarily for diabetes (primary discharge diagnosis, 1°DCDx) or another condition (secondary discharge diagnosis, 2°DCDx) may translate into more effective ways to prevent readmissions. This retrospective cohort study compared readmission risk and risk factors between 8054 hospitalized adults with a 1°DCDx or 2°DCDx. The primary outcome was all-cause hospital readmission within 30 days of discharge. The readmission rate was higher in patients with a 1°DCDx than in patients with a 2°DCDx (22.2% vs. 16.2%, p < 0.01). Several independent risk factors for readmission were common to both groups including outpatient follow up, length of stay, employment status, anemia, and lack of insurance. C-statistics for the multivariable models of readmission were not significantly different (0.837 vs. 0.822, p = 0.15). Readmission risk of people with a 1°DCDx was higher than that of people with a 2°DCDx of diabetes. Some risk factors were shared between the two groups, while others were unique. Inpatient diabetes consultation may be more effective at lowering readmission risk among people with a 1°DCDx. These models may perform well to predict readmission risk.

Public health interventions on prescription redemptions and secondary medication adherence among type 2 diabetes patients: systematic review and meta-analysis of randomized controlled trials

Background

Despite the inadequate filling of prescriptions among chronic care patients has been a problem, little is known about the intervention effect on it.

Objective

The aim of this systematic review and meta-analysis (SRMA) was to investigate the effectiveness of various public health interventions on primary and secondary medication adherence among T2DM patients.

Methods

Searching was done from the major databases; Cochrane Library, Medline/PubMed, EBSCOhost, and SCOPUS. A hand search was made to find grey works of literature. Articles focused on interventions to enhance primary and secondary medication among type 2 diabetes mellitus patients were included. After screening and checking eligibility, the methodological quality was assessed. Secondary medication adherence was synthesized descriptively due to measurement and definition variations across studies. Finally, a meta-analysis was made using the fixed effects model for primary medication adherence.

Results

3992 studies were screened for both primary and secondary medication adherences. Among these, 24 studies were included in the analysis for primary (5) and secondary (19) medication adherence. Pooled relative medication redemption difference was RD = 8% (95% CI: 6-11%) among the intervention groups. Age, intervention, provider setting, and IDF region were determinant factors of primary medication adherence. About two-thirds of the studies revealed that interventions were effective in improving secondary medication adherence.

Conclusion

Both primary and secondary medications were enhanced by a variety of public health interventions for patients worldwide. However, there is a scarcity of studies on primary medication adherence globally, and in resource-limited settings for the type of adherences.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-021-00878-0.

Predicting and Preventing Acute Care Re-Utilization by Patients with Diabetes

PURPOSE OF REVIEW

Acute care re-utilization, i.e., hospital readmission and post-discharge Emergency Department (ED) use, is a significant driver of healthcare costs and a marker for healthcare quality. Diabetes is a major contributor to acute care re-utilization and associated costs. The goals of this paper are to (1) review the epidemiology of readmissions among patients with diabetes, (2) describe models that predict readmission risk, and (3) address various strategies for reducing the risk of acute care re-utilization.

RECENT FINDINGS

Hospital readmissions and ED visits by diabetes patients are common and costly. Major risk factors for readmission include sociodemographics, comorbidities, insulin use, hospital length of stay (LOS), and history of readmissions, most of which are non-modifiable. Several models for predicting the risk of readmission among diabetes patients have been developed, two of which have reasonable accuracy in external validation. In retrospective studies and mostly small randomized controlled trials (RCTs), interventions such as inpatient diabetes education, inpatient diabetes management services, transition of care support, and outpatient follow-up are generally associated with a reduction in the risk of acute care re-utilization. Data on readmission risk and readmission risk reduction interventions are limited or lacking among patients with diabetes hospitalized for COVID-19. The evidence supporting post-discharge follow-up by telephone is equivocal and also limited. Acute care re-utilization of patients with diabetes presents an important opportunity to improve healthcare quality and reduce costs. Currently available predictive models are useful for identifying higher risk patients but could be improved. Machine learning models, which are becoming more common, have the potential to generate more accurate acute care re-utilization risk predictions. Tools embedded in electronic health record systems are needed to translate readmission risk prediction models into clinical practice. Several risk reduction interventions hold promise but require testing in multi-site RCTs to prove their generalizability, scalability, and effectiveness.