Continuity of care, measurement and association with hospital admission and mortality: a registry-based longitudinal cohort study

How to support caregivers in general practice: development of the Caregiver Care Model

Background

Caring for a family member can be demanding, particularly when caregivers experience profound distress. Supportive interventions may help prevent mental and physical illness in the caregiver. General practice plays a key role by regularly engaging with patients and caregivers, thereby being able to identify their support needs, offer talk therapy and refer to care initiatives.

Objective

This study aimed to develop and pilot-test the Caregiver Care Model to mitigate grief reactions among caregivers in general practice.

Design

A participatory intervention development study.

Methods

A prototype was developed in a workshop with healthcare professionals. The prototype was refined based on a pilot-test among 40 caregivers from 5 general practice clinics and a workshop with general practitioners. The data were obtained from workshops, feedback questionnaires completed by healthcare professionals, and interviews with caregivers and general practitioners. The analysis focused on model development and mechanisms of impact.

Results

The prototype was refined by focusing the dialogue questionnaire, minimising the grief facilitation tools and expanding the target group. The prototype seemed to accommodate the needs among caregivers by acknowledging their situation. The final model includes up to seven caregiver consultations in general practice. A dialogue questionnaire filled in by the caregiver serves as a fixed starting point and preparation for the first consultation. If needed, talk therapy in general practice or referrals to other services are used.

Conclusion

The model offers promising support for caregivers. Its flexible structure allows for customisation. The viability of the model should be further tested.

Association between continuity of care and inappropriate prescribing in outpatient care in Germany: a cross-sectional analysis conducted as part of the LoChro trial

OBJECTIVES

Potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs) are common in multimorbid patients. This study aims to describe PIMs and PPOs in an open-access outpatient setting and to investigate any association between continuity of care (CoC) and PIMs and PPOs in multimorbid older patients.

DESIGN

Cross-sectional study using patient-confirmed outpatient medication plans to describe PIMs and PPOs using the 'Screening Tool of Older Person's Prescription/Screening Tool to Alert to Right Treatment' version 2. Four Poisson regressions modelled the number of PIMs and PPOs using context-adapted versions of the Usual Provider of Care (UPC) and the Modified Modified Continuity Index (MMCI) as measures for CoC.

SETTING

Southern Germany, outpatient setting.

PARTICIPANTS

321 participants of the LoChro-trial at 12-month follow-up (both arms). The LoChro-trial compared healthcare involving an additional care manager with usual care. Inclusion criteria were age over 64, local residence and scoring over one in the Identification of Older patients at Risk Screening Tool.

PRIMARY OUTCOMES

Numbers of PIMs and PPOs.

RESULTS

The mean number of PIMs was 1.5 (SD 1.5), lower than the average number of PPOs at 2.9 (SD 1.7). CoC showed similar results for both indices with a mean of 0.548 (SD 0.279) for MMCI and 0.514 (SD 0.262) for UPC. Both models predicting PPOs indicated more PPOs with higher CoC; statistical significance was only demonstrated for MMCI (MMCI~PPO: Exp(B)=1.42, 95% CI (1.11; 1.81), p=0.004; UPC~PPO: Exp(B)=1.29, 95% CI (0.99; 1.67), p=0.056). No significant association between PIMs and CoC was found (MMCI~PIM: Exp(B)=0.72, 95% CI (0.50; 1.03), p=0.072; UPC~PIM: Exp(B)=0.83, 95% CI (0.57; 1.21), p=0.337).

CONCLUSION

The results did not show a significant association between higher CoC and lesser PIMs. Remarkably, an association between increased CoC, represented through MMCI, and more PPOs was found. Consultation of different care providers in open-access healthcare systems could possibly ameliorate under-prescribing in multimorbid older patients.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS): DRKS00013904.

Preadmission morbidity and healthcare utilization among older adults with potentially avoidable hospitalizations: a Danish case-control study

PURPOSE

Examine preadmission diagnoses, medication use, and preadmission healthcare utilization among older adults prior to first potentially avoidable hospitalizations.

METHODS

A nationwide population-based case-control study using Danish healthcare data. All Danish adults aged ≥ 65 years who had a first potentially avoidable hospitalization from January 1995 through March 2019 (n = 725,939) were defined as cases, and 1:1 age- and sex-matched general population controls (n = 725,939). Preadmission morbidity and healthcare utilization were assessed based on a complete hospital diagnosis history within 10 years prior, and all medication use and healthcare contacts 1 year prior. Using log-binomial regression, we calculated adjusted prevalence ratios (PR) with 95% confidence intervals (CI).

RESULTS

Included cases and controls had a median age of 78 years and 59% were female. The burden of preadmission morbidity was higher among cases than controls. The strongest associations were observed for preadmission chronic lung disease (PR 3.8, CI 3.7-3.8), alcohol-related disease (PR 3.1, CI 3.0-3.2), chronic kidney disease (PR 2.4, CI 2.4-2.5), psychiatric disease (PR 2.2, CI 2.2-2.3), heart failure (PR 2.2, CI 2.2-2.3), and previous hospital contacts with infections (PR 2.2, CI 2.2-2.3). A high and accelerating number of healthcare contacts was observed during the months preceding the potentially avoidable hospitalization (having over 5 GP contacts 1 month prior, PR 3.0, CI 3.0-3.0).

CONCLUSION

A high number of healthcare contacts and preadmission morbidity and medication use, especially chronic lung, heart, and kidney disease, alcohol-related or psychiatric disease including dementia, and previous infections are strongly associated with potentially avoidable hospitalizations.

Continuity of primary care for type 2 diabetes and hypertension and its association with health outcomes and disease control: insights from Central Vietnam

BACKGROUND

Vietnam is undergoing a rapid epidemiological transition with a considerable burden of non-communicable diseases (NCDs), especially hypertension and diabetes (T2DM). Continuity of care (COC) is widely acknowledged as a benchmark for an efficient health system. This study aimed to determine the COC level for hypertension and T2DM within and across care levels and to investigate its associations with health outcomes and disease control.

METHODS

A cross-sectional study was conducted on 602 people with T2DM and/or hypertension managed in primary care settings. We utilized both the Nijmegen continuity of care questionnaire (NCQ) and the Bice - Boxerman continuity of care index (COCI) to comprehensively measure three domains of COC: interpersonal, informational, and management continuity. ANOVA, paired-sample t-test, and bivariate and multivariable logistic regression analysis were performed to examine the predictors of COC.

RESULTS

Mean values of COC indices were: NCQ: 3.59 and COCI: 0.77. The proportion of people with low NCQ levels was 68.8%, and that with low COCI levels was 47.3%. Primary care offered higher informational continuity than specialists (p < 0.01); management continuity was higher within the primary care team than between primary and specialist care (p < 0.001). Gender, living areas, hospital admission and emergency department encounters, frequency of health visits, disease duration, blood pressure and blood glucose levels, and disease control were demonstrated to be statistically associated with higher levels of COC.

CONCLUSIONS

Continuity of primary care is not sufficiently achieved for hypertension and diabetes mellitus in Vietnam. Strengthening robust primary care services, improving the collaboration between healthcare providers through multidisciplinary team-based care and integrated care approach, and promoting patient education programs and shared decision-making interventions are priorities to improve COC for chronic care.

Continuity of care and mortality for patients with chronic disease: an observational study using Norwegian registry data

BACKGROUND

Research on continuity of care (CoC) is mainly conducted in primary care and has received little acknowledgment in other levels of care. This study sought to investigate CoC across care levels for patients with selected chronic diseases, along with its association with mortality.

METHODS

In a registry-based cohort study, patients with ≥1 consultation in primary or specialist healthcare or hospital admission with asthma, chronic obstructive pulmonary disease (COPD), diabetes mellitus, or heart failure in 2012 were linked to disease-related consultation data in 2013-2016. CoC was measured by Usual Provider of Care index (UPC) and Bice-Boxermann continuity of care score (COCI). Values equal to one were categorized into one group and the rest into three equal groups (tertiles). The association with mortality was determined by Cox regression models.

RESULTS

The highest mean UPCtotal was measured for patients with diabetes mellitus (0.58) and the lowest for those with asthma (0.46). The population with heart failure had the highest death rate (26.5). In adjusted Cox regression analyses for COPD, mortality was 2.6 times higher (95% CI 2.25-3.04) for patients in the lowest tertile of continuity compared to those with UPCtotal = 1. Patients with diabetes mellitus and heart failure showed similar results.

CONCLUSION

CoC was moderate to high for disease-related contacts across care levels. A higher mortality associated with lower CoC was observed for patients with COPD, diabetes mellitus, and heart failure. A similar, but not statistically significant trend was found for patients with asthma. This study suggests that higher CoC across levels of care can decrease mortality.