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Effects of telephone-based health coaching on patient-reported outcomes and health behavior change: A randomized controlled trial.

ABSTRACT: OBJECTIVE:Telephone based health coaching (TBHC) seems to be a promising approach to foster self-management in patients with chronic conditions. The aim of this study was to evaluate the effectiveness of a TBHC on patient-reported outcomes and health behavior for people living with chronic conditions in Germany. METHODS:Patients insured at a statutory health insurance were randomized to an intervention group (IG; TBHC) and a control group (CG; usual care), using a stratified random allocation before giving informed consent (Zelen's single-consent design). The TBHC was based on motivational interviewing, goal setting, and shared decision-making and carried out by trained nurses. All outcomes were assessed yearly for three years. We used mixed effects models utilizing all available data in a modified intention-to-treat sample for the main analysis. Participants and study centers were included as random effects. All models were adjusted for age, education and campaign affiliation. RESULTS:Of the 10,815 invited patients, 4,283 returned their questionnaires at baseline. The mean age was 67.23 years (SD = 9.3); 55.5% were female. According to the model, TBHC was statistically significant superior to CG regarding 6 of 19 outcomes: physical activity in hours per week (p = .030) and in metabolic rate per week (p = .048), BMI (p = .009) (although mainly at baseline), measuring blood pressure (p< .001), patient activation (p< .001), and health literacy (p< .001). Regarding stages of change (p = .005), the IG group also showed statistically different results than the CG group, however the conclusion remains inconclusive. Within-group contrasts indicating changes from baseline to follow-ups and significant between-group comparisons regarding these changes supported the findings. Standardized effect sizes were small. TBHC did not show any effect on mental QoL, health status, alcohol, smoking, adherence, measuring blood sugar, foot monitoring, anxiety, depression and distress. Campaign-specific subgroup effects were detected for 'foot monitoring by a physician' and 'blood sugar measurement'. CONCLUSION:TBHC interventions might have small effects on some patient reported and behavioral outcomes. PRACTICE IMPLICATIONS:Future research should focus on analyzing which intervention components are effective and who profits most from TBHC interventions. REGISTRATION:German Clinical Trials Register (Deutsches Register Klinischer Studien; DRKS): DRKS00000584.

SUBMITTER: Dwinger S

PROVIDER: S-EPMC7508388 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Effects of telephone-based health coaching on patient-reported outcomes and health behavior change: A randomized controlled trial.

Dwinger Sarah S Rezvani Farhad F Kriston Levente L Herbarth Lutz L Härter Martin M Dirmaier Jörg J

PloS one 20200922 9

<h4>Objective</h4>Telephone based health coaching (TBHC) seems to be a promising approach to foster self-management in patients with chronic conditions. The aim of this study was to evaluate the effectiveness of a TBHC on patient-reported outcomes and health behavior for people living with chronic conditions in Germany.<h4>Methods</h4>Patients insured at a statutory health insurance were randomized to an intervention group (IG; TBHC) and a control group (CG; usual care), using a stratified rando ...[more]

PMID: 32960886

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Project description:BackgroundChronic diseases, like diabetes mellitus, heart disease and cancer are leading causes of death and disability. These conditions are at least partially preventable or modifiable, e.g. by enhancing patients' self-management. We aimed to examine the effectiveness of telephone-based health coaching (TBHC) in chronically ill patients.Methods and findingsThis prospective, pragmatic randomized controlled trial compares an intervention group (IG) of participants in TBHC to a control group (CG) without TBHC. Endpoints were assessed two years after enrolment. Three different groups of insurees with 1) multiple conditions (chronic campaign), 2) heart failure (heart failure campaign), or 3) chronic mental illness conditions (mental health campaign) were targeted. The telephone coaching included evidence-based information and was based on the concepts of motivational interviewing, shared decision-making, and collaborative goal setting. Patients received an average of 12.9 calls. Primary outcome was time from enrolment until hospital readmission within a two-year follow-up period. Secondary outcomes comprised the probability of hospital readmission, number of daily defined medication doses (DDD), frequency and duration of inability to work, and mortality within two years. All outcomes were collected from routine data provided by the statutory health insurance. As informed consent was obtained after randomization, propensity score matching (PSM) was used to minimize selection bias introduced by decliners. For the analysis of hospital readmission and mortality, we calculated Kaplan-Meier curves and estimated hazard ratios (HR). Probability of hospital readmission and probability of death were analysed by calculating odds ratios (OR). Quantity of health service use and inability to work were analysed by linear random effects regression models. PSM resulted in patient samples of 5,309 (IG: 2,713; CG: 2,596) in the chronic campaign, of 660 (IG: 338; CG: 322) in the heart failure campaign, and of 239 (IG: 101; KG: 138) in the mental health campaign. In none of the three campaigns, there were significant differences between IG and CG in time until hospital readmission. In the chronic campaign, the probability of hospital readmission was higher in the IG than in the CG (OR = 1.13; p = 0.045); no significant differences could be found for the other two campaigns. In the heart failure campaign, the IG showed a significantly reduced number of hospital admissions (-0.41; p = 0.012), although the corresponding reduction in the number of hospital days was not significant. In the chronic campaign, the IG showed significantly increased number of DDDs. Most striking, there were significant differences in mortality between IG and CG in the chronic campaign (OR = 0.64; p = 0.005) as well as in the heart failure campaign (OR = 0.44; p = 0.001).ConclusionsWhile TBHC seems to reduce hospitalization only in specific patient groups, it may reduce mortality in patients with chronic somatic conditions. Further research should examine intervention effects in various subgroups of patients, for example for different diagnostic groups within the chronic campaign, or duration of coaching.Trial registrationGerman Clinical Trials Register DRKS00000584.

Project description:ObjectiveTo evaluate the effectiveness of goal focused telephone coaching by practice nurses in improving glycaemic control in patients with type 2 diabetes in Australia.DesignProspective, cluster randomised controlled trial, with general practices as the unit of randomisation.SettingGeneral practices in Victoria, Australia.Participants59 of 69 general practices that agreed to participate recruited sufficient patients and were randomised. Of 829 patients with type 2 diabetes (glycated haemoglobin (HbA1c) >7.5% in the past 12 months) who were assessed for eligibility, 473 (236 from 30 intervention practices and 237 from 29 control practices) agreed to participate.InterventionPractice nurses from intervention practices received two days of training in a telephone coaching programme, which aimed to deliver eight telephone and one face to face coaching episodes per patient.Main outcome measuresThe primary end point was mean absolute change in HbA1c between baseline and 18 months in the intervention group compared with the control group.ResultsThe intervention and control patients were similar at baseline. None of the practices dropped out over the study period; however, patient attrition rates were 5% in each group (11/236 and 11/237 in the intervention and control group, respectively). The median number of coaching sessions received by the 236 intervention patients was 3 (interquartile range 1-5), of which 25% (58/236) did not receive any coaching sessions. At 18 months' follow-up the effect on glycaemic control did not differ significantly (mean difference 0.02, 95% confidence interval -0.20 to 0.24, P=0.84) between the intervention and control groups, adjusted for HbA1c measured at baseline and the clustering. Other biochemical and clinical outcomes were similar in both groups.ConclusionsA practice nurse led telephone coaching intervention implemented in the real world primary care setting produced comparable outcomes to usual primary care in Australia. The addition of a goal focused coaching role onto the ongoing generalist role of a practice nurse without prescribing rights was found to be ineffective.Trial registrationCurrent Controlled Trials ISRCTN50662837.

Project description:BackgroundFor chronic disease management, self-management strategies are essential to achieve sustained improvement.ObjectiveOur study evaluated the efficacy of health coaching and a self-management strategy-based electronic program on self-management strategies for patients with osteoporosis, chronic respiratory disease, or arthritis.DesignThree-arm randomized controlled trial, pilot study PARTICIPANTS: Fifty-four participants INTERVENTIONS: The first intervention group (n = 53) received a self-management strategy-based electronic program and 12 weeks of health coaching (20 sessions). The second intervention group received the information and communications technology (ICT) program; the control group received usual care and an educational booklet about self-management of chronic diseases.Main measuresThe primary outcome was the difference in the change of the mean of self-management strategy scores. Secondary outcomes included depression (PHQ-9), physical activity (Godin Leisure Exercise Questionnaire), and health habit maintenance (transtheoretical model) after 12 weeks in the program.Key resultsThe combination of health coaching and ICT was superior to control group (change 18.5 vs. - 2.6, adjusted difference = 24.5, p < 0.001); however, the ICT alone group was not superior to the control group (change 8.0 vs. - 2.6, adjusted difference = 8.0, p = 0.156). As a result of evaluating the change in the percentage of people with positive stage changes in the transtheoretical model of health habits, regular exercise (p = 0.008), a balanced diet (p = 0.005), helping others (p = 0.001), and living with loved ones (p = 0.038) showed significant differences. There was no significant difference in the changes in percentage of patients with depressive symptoms in comparison with control group; however, there was in comparison with control group among groups (p = 0.033). Compared to the control group, the proportion of patients who achieved an exercise amount of 12.5 MET or higher was significantly higher (p = 0.028) in the health coaching and ICT group.ConclusionsThe combination of ICT + health coaching led to improvement in self-management as well as in increasing exercise, and several healthy behaviors.Trial registrationhttps://clinicaltrials.gov/ct2/show/NCT03294057.

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Effects of telephone-based health coaching on patient-reported outcomes and health behavior change: A randomized controlled trial.

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Effects of telephone-based health coaching on patient-reported outcomes and health behavior change: A randomized controlled trial.

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