Interrelation between patient satisfaction and patient-provider communication in diabetes management

The impact of health and wellness coaching on patient-important outcomes in chronic illness care: A systematic review and meta-analysis

BACKGROUND

Health and Wellness Coaching (HWC) may be beneficial in chronic condition care. We sought to appraise its effectiveness on quality of life (QoL), self-efficacy (SE), depression, and anxiety.

METHODS

We searched MEDLINE, EMBASE, CINAHL, PsycINFO, and Cochrane CENTRAL for randomized trials published January 2005 - March 2023 that compared HWC to standard clinical care or another intervention without coaching. We examined QoL, SE, depression, or anxiety outcomes. Meta-analysis utilizing the random-effects model was used to estimate the pooled standardized mean difference (SMD).

RESULTS

Thirty included studies demonstrated that HWC improved QoL within 3 months (SMD 0.62 95 % CI 0.22-1.02, p = 0.002), SE within 1.5 months (SMD 0.38, 95 % CI 0.03-0.73, p = 0.03), and depression at 3, 6, and 12 months (SMD 0.67, 95 % CI 0.13-1.20, p = 0.01), (SMD 0.72, 95 % CI 0.19-1.24, p = 0.006), and (SMD 0.41, 95 % CI 0.09-0.73, p = 0.01) Certainty in the evidence for most outcomes was either very low or low primarily due to the high risk of bias, heterogeneity, and imprecision.

CONCLUSION

HWC improves QoL, SE, and depression across chronic illness populations. Future research needs to standardize intervention reporting and outcome collection.

PRACTICE IMPLICATIONS

Future HWC studies should standardize intervention components, reporting, and outcome measures, apply relevant chronic illness theories, and aim to follow participants for greater than one year.

Dosing of Health and Wellness Coaching for Obesity and Type 2 Diabetes: Research Synthesis to Derive Recommendations

Health and wellness coaching (HWC) is an effective intervention for lifestyle disease such as obesity and type 2 diabetes. The evolving HWC profession needs recommendations to guide clinical practice, particularly the appropriate dose of coaching. The purpose of this paper was to systematically review and synthesize HWC literature to derive HWC programming recommendations. Of 102 papers retrieved, 88 were retained with data extracted determining HWC session number, frequency, duration, program length, and total coaching load. Differential analysis yielded no statistical difference in programming variables for randomized control trials and other designs, nor for studies with significant findings v. those not finding statistical significance, allowing these data to be pooled. The HWC intervention for obesity was slightly more intense (15 sessions over 7-8 mo) than the diabetes programming (12 sessions over 9-10 mo). On average, HWC programming applied in the peer-reviewed literature was 12-15 sessions of 35-40 min duration over 7-9 months. These recommendations for HWC programming variables are put forth as initial practice guidelines and should be examined with comparative effectiveness study for optimization. HWC best practice guidelines for other patient groups (e.g., heart disease, cancer, and chronic pain) should also be studied once an adequate literature data base is available.

Development and validation in Ecuador of the EPD Questionnaire, a diabetes-specific patient-reported experience and outcome measure: A mixed-methods study

Introduction

The global prevalence of diabetes in 2019 in adults was estimated to be 9.3%. This study developed in Ecuador, for the first time, instruments to assess patient‐reported outcomes and experiences.

Methods

The Experiences of the Person with Diabetes (EPD) Questionnaire is a diabetes‐specific instrument. A mixed‐methods study was conducted. First, a qualitative item development phase that included four focus groups and six semi‐structured interviews with patients was conducted in different rural and urban areas of Ecuador to obtain information on culture, beliefs, demographics, diet and social perspectives. A second quantitative phase for psychometric validation was carried out in primary care settings of rural and urban areas of Ecuador.

Results

Forty‐two and four hundred and eighty‐nine participants were included in each phase, respectively. The item development phase resulted in a questionnaire of 44 items (23 for perceived outcomes and 21 for experiences). In the validation study, most participants were women (58%) and from urban areas (57%). Exploratory factor analysis revealed three dimensions for each instrument. Outcomes instrument dimensions were symptoms and burnout, worries and fears and social limitations. Experiences instrument dimensions were information, patient‐centred care and care delivery. Cronbach's α values of the total score and dimensions were high, ranging between .81 and .93 in both instruments. Confirmatory factor analysis showed an acceptable fit of the data.

Conclusion

The EPD Questionnaire is probably the first instrument developed to assess patient‐reported experiences and perceived outcomes in a middle‐income country that included patients to capture all dimensions relevant for the intended population. Its psychometric properties are robust and could provide valuable information for clinicians and policymakers in the region.

Patient or Public Contribution

The development of these instruments has taken into consideration patients and the public since their conception. A qualitative approach gathered relevant information related to the cultural, social and economic burden of different populations in Ecuador. Before validation, a pilot test was carried out with users of the National Health Services to obtain their perspectives and insights of the developed instrument. Finally, during the data analysis, we have given special consideration to social variables such as rural and urban populations.

Assessing Impacts on Unplanned Hospitalisations of Care Quality and Access Using a Structural Equation Method: With a Case Study of Diabetes

Background: Enhanced quality of care and improved access are central to effective primary care management of long term conditions. However, research evidence is inconclusive in establishing a link between quality of primary care, or access, and adverse outcomes, such as unplanned hospitalisation. Methods: This paper proposes a structural equation model for quality and access as latent variables affecting adverse outcomes, such as unplanned hospitalisations. In a case study application, quality of care (QOC) is defined in relation to diabetes, and the aim is to assess impacts of care quality and access on unplanned hospital admissions for diabetes, while allowing also for socio-economic deprivation, diabetes morbidity, and supply effects. The study involves 90 general practitioner (GP) practices in two London Clinical Commissioning Groups, using clinical quality of care indicators, and patient survey data on perceived access. Results: As a single predictor, quality of care has a significant negative impact on emergency admissions, and this significant effect remains when socio-economic deprivation and morbidity are allowed. In a full structural equation model including access, the probability that QOC negatively impacts on unplanned admissions exceeds 0.9. Furthermore, poor access is linked to deprivation, diminished QOC, and larger list sizes. Conclusions: Using a Bayesian inference methodology, the evidence from the analysis is weighted towards negative impacts of higher primary care quality and improved access on unplanned admissions. The methodology of the paper is potentially applicable to other long term conditions, and relevant when care quality and access cannot be measured directly and are better regarded as latent variables.