Randomized controlled study of the impact of a participatory patient care plan among primary care patients with common chronic diseases: a one-year follow-up study

Shared Decision-Making in Cardiovascular Risk Factor Management: A Systematic Review and Meta-Analysis

Importance

The effect of shared decision-making (SDM) and the extent of its use in interventions to improve cardiovascular risk remain unclear.

Objective

To assess the extent to which SDM is used in interventions aimed to enhance the management of cardiovascular risk factors and to explore the association of SDM with decisional outcomes, cardiovascular risk factors, and health behaviors.

Data Sources

For this systematic review and meta-analysis, a literature search was conducted in the Medline, CINAHL, Embase, Cochrane, Web of Science, Scopus, and ClinicalTrials.gov databases for articles published from inception to June 24, 2022, without language restrictions.

Study Selection

Randomized clinical trials (RCTs) comparing SDM-based interventions with standard of care for cardiovascular risk factor management were included.

Data Extraction and Synthesis

The systematic search resulted in 9365 references. Duplicates were removed, and 2 independent reviewers screened the trials (title, abstract, and full text) and extracted data. Data were pooled using a random-effects model. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline.

Main Outcomes and Measures

Decisional outcomes, cardiovascular risk factor outcomes, and health behavioral outcomes.

Results

This review included 57 RCTs with 88 578 patients and 1341 clinicians. A total of 59 articles were included, as 2 RCTs were reported twice. Nearly half of the studies (29 [49.2%]) tested interventions that targeted both patients and clinicians, and an equal number (29 [49.2%]) exclusively focused on patients. More than half (32 [54.2%]) focused on diabetes management, and one-quarter focused on multiple cardiovascular risk factors (14 [23.7%]). Most studies (35 [59.3%]) assessed cardiovascular risk factors and health behaviors as well as decisional outcomes. The quality of studies reviewed was low to fair. The SDM intervention was associated with a decrease of 4.21 points (95% CI, -8.21 to -0.21) in Decisional Conflict Scale scores (9 trials; I2 = 85.6%) and a decrease of 0.20% (95% CI, -0.39% to -0.01%) in hemoglobin A1c (HbA1c) levels (18 trials; I2 = 84.2%).

Conclusions and Relevance

In this systematic review and meta-analysis of the current state of research on SDM interventions for cardiovascular risk management, there was a slight reduction in decisional conflict and an improvement in HbA1c levels with substantial heterogeneity. High-quality studies are needed to inform the use of SDM to improve cardiovascular risk management.

A short tool to screen self-care preparedness: cross-sectional study in general practice

BACKGROUND

Self-care is crucial in the prevention and treatment of chronic diseases. It is important to identify patients who need support with self-care.

OBJECTIVES

This study introduces a self-care preparedness index (SCPI) and examines its associations with health-related quality of life (HRQoL) and other outcomes.

METHODS

A cross-sectional study of adults (n = 301) with hypertension, coronary artery disease, or diabetes in primary health care. Based on the self-care questionnaire, SCPI was formed. A higher SCPI value indicated better self-care preparedness. We examined correlations and a hypothesis of linearity between SCPI and HRQoL (15D), depressive symptoms (BDI), patient activation (PAM), and health-related outcomes (self-rated health, life satisfaction, physical activity, body mass index [BMI], waist, low-density lipoprotein). Exploratory factor analysis was used to test the construct validity of SCPI.

RESULTS

A total of 293 patients with a mean age of 68 (54.3% women) were included in the analysis. BDI, BMI, and waist had a negative linear trend with SCPI. Self-rated health, physical activity, patient activity, and life satisfaction had a positive linear trend with SCPI. SCPI correlated with HRQoL (r = 0.31 [95% CI: 0.20 to 0.41]). Exploratory factor analysis of the SCPI scores revealed 3 factors explaining 82% of the total variance.

CONCLUSIONS

SCPI seems to identify individuals with different levels of preparedness in self-care. This provides means for health care providers to individualize the levels of support and counselling. SCPI seems to be a promising tool in primary health care but needs further validation before use in large scale trials or clinical practice.

Depressive symptoms decrease health-related quality of life of patients with coronary artery disease and diabetes: a 12-month follow up study in primary care

OBJECTIVE

Health-related quality of life (HRQoL) is a multidimensional patient-related outcome. Less is known about the role of depressive symptoms on HRQoL in chronic diseases. This follow-up study analyzed depressive symptoms' association with HRQoL change measured with 15D in patients with chronic diseases.

DESIGN AND SETTING

A total of 587 patients from the Siilinjärvi Health Center, Finland were followed up due to the treatment of hypertension (HA), coronary artery disease (CAD) or diabetes (DM). Depressive symptoms were based on Beck Depression Inventory (BDI) (BDI ≥10 =depressive symptoms). HRQoL was assessed at the baseline and after 12 months.

RESULTS

There were 244 patients with HA (mean age 70 years, 59% women); 103 patients (72 years, 38%) with CAD and 240 with DM (67 years, 52%). The change from baseline to the 12-month follow-up in 15D was significantly different between patients without and with depressive symptoms in CAD (p < 0.001) and DM (p = 0.024). In CAD with depressive symptoms, the change was -0.064 (95% CI: -0.094 to -0.035) and in DM -0.018 (95% CI: -0.037 to 0.001). In the 15 HRQoL dimensions of 15D, a depressive symptoms-related decrease was found in three dimensions with HA, in 9 with CAD and in 7 with DM. As a function of the BDI at baseline, the 15D score decreased significantly among patients with CAD and DM.

CONCLUSIONS

Depressive symptoms impact negatively on future HRQoL among primary care patients with coronary artery disease and diabetes emphasizing that mood should be acknowledged in their care and follow-up.

TRIAL REGISTRATION

Clinical Trials registration number: NCT02992431, registered December 14th 2016.

Use of primary health care services among older patients with and without diabetes

Background

The aim of this study was to compare the utilization of primary healthcare services by older patients with and without type 2 diabetes.

Methods

Electronic patient records were used to identify persons over 65 years of age with a diagnosis of diabetes. Two age- and sex-adjusted controls without diabetes were extracted for each person with diagnosis of diabetes. A health questionnaire was sent by mail to 527 people with diabetes and 890 controls. Of the persons who answered the questionnaire, 518 persons were randomly selected to participate in a health examination. The study group in this analysis consisted of 187 persons with diabetes and 176 persons without diabetes who attended the health examination. The data on primary health care utilization were extracted from electronic patient records one year before and one after the health examination.

Results

Before the onset of the study, the patients with diabetes had more doctor’s appointments (p < 0.001), nurse’s appointments (< 0.001) and laboratory tests taken (p < 0.001) than those without diabetes After 1-year follow-up period the patients with diabetes had more doctor’s appointments (p = 0.002), nurse’s appointments (p = 0.006), laboratory tests taken (p = 0.006) and inpatient care at the community hospital (p = 0.004) than patients without a diagnosis of type 2 diabetes. The use of the community hospital increased significantly among patients with diabetes (ratio 2.50; 95% Cl 1.16–5.36) but not by patients without diabetes (ratio 0.91; 95% Cl 0.40.2.06). The number of nurse’s appointments increased for patients without diabetes (ratio 1.31; 95% Cl 1.07–1.60) but not for those with diabetes (ratio 1.04; 95% Cl 0.88–1.24).

Conclusions

Patients with diabetes visit more often physicians and nurses compared with those without diabetes. During a 1-year follow-up, the use of community hospital care increased significantly among patients with diabetes. In addition to focusing on prevention and care of diabetes, these results suggest the importance of diabetes in planning community-based health care services.