Effect Of Health Coaching Research Articles

Effects of Health Coaching on Cardiometabolic Health in Middle-Aged Adults: A Systematic Review and Meta-analysis.

To appraise and synthesize evidence on the effects of health coaching as the primary intervention on cardiometabolic health among middle-aged adults. Six electronic databases (MEDLINE, Embase, PsycINFO, CINAHL, PubMed, and the Cochrane library) were searched from inception until July 2021. Randomized controlled trials and controlled clinical trials published in English, reporting health coaching aimed to promote behavioral changes for improving cardiometabolic health among middle-aged adults were included. Studies on health coaching as secondary intervention were excluded. Two reviewers selected the articles, appraised the study quality, and extracted data independently. All kinds of outcomes related to cardiometabolic health, including health behaviors, psychological and physiological outcomes, were included. Meta-analysis was performed if three or more studies reported the same outcomes. Narrative synthesis was performed if pooling of data for meta-analysis was not feasible. Eight studies were reviewed. Most studies involved substantial risk of bias. The majority of the participants were women (99.1%). Meta-analysis showed a small but significant effect of health coaching on increasing physical activity (SMD = .34, 95% CI = .08-.60, p = .01, I2 = 0%); however, its effect on perceived barriers to physical activity and depressive symptoms was nonsignificant. Narrative synthesis yielded inconsistent results on diet, smoking, anxiety, goal achievement and self-efficacy for behavioral change, physiological outcomes, and metabolic syndrome severity, and nonsignificant effects on alcohol consumption, sleep quality, perceived benefits of physical activities, and cardiovascular symptoms. Health coaching has significant effects on increasing physical activity among middle-aged adults; however, its effects on health behaviors and risk factors related to cardiometabolic health are inconclusive. Further efforts are warranted to examine how health coaching can improve cardiometabolic health among middle-aged adults.

The Effect of Health Coaching and Education on the Control of Type 2 Diabetes: A Randomized Controlled Trial

The Effect of Health Coaching and Education on the Control of Type 2 Diabetes: A Randomized Controlled Trial

Eight-year post-trial follow-up of morbidity and mortality of telephone health coaching

BackgroundHealth coaching is a patient-centred approach to supporting self-management for the chronic conditions. However, long-term evidence of effectiveness of health coaching remains scarce. The object of this study was to evaluate the long-term effect of telephone health coaching (THC) on mortality and morbidity among people with type 2 diabetes (T2D), coronary artery disease (CAD) and congestive heart failure (CHF)..Methods1535 T2D, CAD and CHF patients with unmet treatment targets were randomly allocated into an intervention group (n = 1034) and control group (n = 501). Intervention group received monthly individual strength-based, autonomy supportive THC sessions (average 30 min) for behavior change with a specially trained nurse for 12 months additional to usual health care. Control group received usual health care services. The primary outcome was a composite of death from cardiovascular causes or non-fatal stroke or non-fatal myocardial infarction (AMI) or unstable angina pectoris (UAP) during a follow-up of 8 years Three other composite endpoints with distinct combinations of fatal and non-fatal cardiovascular events and death from any cause were used as secondary outcomes. Other outcomes followed were the most relevant components of the composite endpoints. Randomized controlled trial (RCT) data was linked to Finnish national health and social care registries and electronic health records (EHR). Post-trial eight-year evaluation was conducted using intention-to-treat (ITT) and per-protocol (PP) analysis.ResultsThe composite primary outcome event rate per 100 person years was lower in the intervention group (3.45) than in control group (3.88) in ITT -analysis, but the difference was not statistically significant (hazard ratio in the intervention group 0.87; 95% CI, 0.71 to 1.07; P = 0.19). In the subgroup (T2D, CAD/CHF) analysis, there were no statistically significant effects. The secondary PP-analysis showed statistically significant benefits for those who participated in the study.ConclusionsNo statistically significant effect of health coaching on mortality and morbidity was found in intention to treat analysis. The per protocol results suggest, however, that the intervention may be effective among patients who are willing and able to participate in health coaching. More research is needed to identify patients most likely to benefit from low-intensity health coaching.Trial registrationNCT00552903 (registration date: the 1st of November 2007, updated the 3rd of February 2009).

Effect of Health Coaching on the Community's Availability to Vaccinate

Background: The number of negative issues regarding COVID-19 affects the public's perception of not participating in the COVID-19 vaccination. Based on a brief interview conducted by the researcher with 20 people in the Matangnga Health Center working area regarding the implementation of vaccination, 17 people expressed their doubts and were not willing to vaccinate. Because in this study, what needs to be changed is the public's perception of the COVID-19 vaccination, the health education method that will be used is the health coaching method. Objective: To determine the effect of providing health coaching on people's willingness to vaccinate in the work area of the Matangnga Health Center, Polewali Mandar Regency. Methods: The research design used was experimental research with a one-group pretest-posttest research design. Population In the study, namely all people over the age of 18 years, amounting to 3,444 people with a sample of 20 respondents, Sampling was done using the multistage sampling technique. The data collection tool used in this study was a questionnaire consisting of 17 statement items. Results: The normality test of the data using the Saphiro Wilk test showed that the data was normally distributed, and then the data was analyzed using the paired t test with the results of the p value of 0.000 <0.05. Conclusion: The results of the analysis of community attitudes towards the implementation of vaccination before and after the provision of health coaching showed that there was an effect of providing health coaching on the community's willingness to vaccinate in the work area of the Matangnga Health Center, Polewali Mandar Regency. Suggestion: It is hoped that this health coaching intervention can be developed further and can be used as a method for providing health education.

Health coaching improves interventional effects in high-risk population of stroke

Objective To assess the effect of health coaching on interventional effect in high-risk population of stroke. Methods A baseline survey was conducted among 897 residents aged 40 years and above selected by cluster sampling method in a community of Shijiazhuang city from January 2016 to June 2016, and 178 subjects were identified as high risk population of stroke. The high-risk subjects were randomly divided into two groups: the control group (n=89) was given routine health education, while the intervention group (n=89) received health coaching based on motivational interview for 13 months. The behavioral risk factors and self-efficacy scores were compared between two groups before and after intervention. Results There were no significant differences in behavioral risk factors between the two groups: for hypertension 72 vs. 74 cases (χ2=0.152, P=0.67), for hyperglycocemia 44 vs.48 cases (χ2=0.360, P=0.55), for dyslipidemia 62 vs. 60 cases (χ2=0.104, P=0.75), for smoking 35 vs.32 cases (χ2=0.215, P=0.64), for obesity 50 vs.52 cases (χ2=0.092, P=0.76), for lack of exercises 72 vs.70 cases (χ2=0.139, P=0.71), for atrial fibrillation 14 vs. 16 cases (χ2=0.160, P=0.19). And there was no significant difference in self-efficacy scores between the two groups [(5.3±1.2) vs. (5.6±2.0), t=0.997,P=0.32]. After intervention, there were significant differences between the two groups in behavioral risk factors: for hypertension 25 vs. 34 cases (χ2=19.984, P<0.05) , for hyperglycaemia 16 vs.32 cases (χ2=8.448, P<0.05) , for dyslipidemia 30 vs. 48 cases (χ2=13.216, P<0.05) , for smoking 20 vs.28 cases (χ2=7.583, P<0.05) , for obesity 18 vs.38 cases (χ2=14.158, P<0.05) , for lack of exercises 28 vs. 36 cases (χ2=10.235, P<0.01) , for atrial fibrillation 5 vs. 13 cases (χ2=6.451, P<0.05) . And the self-efficacy scores of intervention group were higher than those of control group[ (8.4±2.1) vs. (6.8±2.2), t=4.852, P<0.01]. Conclusion Health coaching based on motivational interview is beneficial to reduce risk factors and improve self-efficacy in high risk population of stroke, which is worthy of popularization. Key words: Health coaching; Stroke, high-risk; Community health services; Primary prevention

Effects of non-medical health coaching on multimorbid patients in primary care: a difference-in-differences analysis

BackgroundHealth systems, globally, are attempting to strengthen primary care to promote a population-health management approach to care provision, incentivising prevention and self-management. This paper evaluates the "Enhanced Primary Care" model implemented in a geographical region in England. Enhanced Primary Care introduces a new non-medical role, health coaches, to the traditional primary care team to provide additional support for patients with chronic conditions. We evaluate effects of health coaching on patient outcomes using a quasi-experiment.MethodsWe estimate the programme’s effects on health status (EQ-5D-5L, physical functioning, psychological wellbeing, and resilience), health behaviour (smoking habit), experience of care (person-centeredness and continuity of care), and health care (primary care) utilisation using data from 3.5 million respondents to the national GP Patient Surveys between 2013 and 2017.We use a weighted difference-in-differences design to compare changes in outcomes over time between intervention practices and comparable control practices in the rest of England. We conduct our main analysis on multimorbid patients and additional analysis on all patients to assess population-level effects.ResultsFor multimorbid patients, we find reductions in psychological wellbeing (short and medium term) of −0.0174 (95% confidence interval −0.0283 to −0.0065), relative difference −2% from the pre-intervention mean; and person-centeredness (short term) of −0.0356 (−0.0530 to −0.0183), −4%. We find no significant effects on other outcome measures. For population-level effects, in the short term we find reductions in primary care utilisation of −0.0331 (−0.0448 to −0.0214), −5%. All other outcomes are not consistently statistically significant.ConclusionsOur results show that there is very little effect of health coaching on patient experience and outcomes in the short-to-medium term (up to 14 months). Introduction of Enhanced Primary Care was associated with slightly lower psychological wellbeing and person-centeredness amongst multimorbid patients (it might be initially difficult for patients to adjust to the model). However, it was also associated with a decline in primary care visits at the population-level (potentially freeing up practitioner time for more complex patients). The results raise important questions regarding primary care workforce changes advocated in the NHS Long Term Plan, and the time horizon of any benefits of prevention strategies.

The effect of health coaching on treatment adherence, self-efficacy, and quality of life in patients with chronic obstructive pulmonary disease.

The aim of this study was to determine the impact of health coaching on respiratory functions, treatment adherence, self-efficacy, and quality of life in chronic obstructive pulmonary disease patients. This study was conducted as an experimental study with non-randomized control group in chronic obstructive pulmonary disease individuals. The study group included a total of 54 chronic obstructive pulmonary disease patients (27 patients both health coaching and control groups), was selected between 13 July 2016 and 2 July 2017. Data were collected by using a questionnaire form, St. George Respiratory Questionnaire, 8-Item Morisky Adherence Scale, and chronic obstructive pulmonary disease Self-Efficacy Scale. A total of 12 coaching interviews were conducted with the patients in the health coaching group. After health coaching intervention, self-efficacy scale general score, and St. George Respiratory Questionnaire, total scores were found statistically significant different between 2 groups in interaction values. There was a significant difference in the 8-Item Morisky Adherence Scale scores for degree of treatment adherence between the groups. The health coaching intervention is recommended, as it contributes to facilitate the treatment adherence and increase the self-efficacy skills by improving the quality of life of the chronic obstructive pulmonary disease patients.