Telephone Counseling for Patients with Chronic Heart Failure: Results of an Evaluation Study

Böhme, Sylvia; Geiser, Christian; Mühlenhoff, Thomas; Holtmann, Jana; Renneberg, Babette

doi:10.1007/s12529-011-9179-0

Cited by 7 publications

(5 citation statements)

References 32 publications

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“…13 There is promising evidence that TBHC can succeed in long-term reduction of hospitalisation and mortality. 22 More specifically TBHC for HF patients seems to improve perceived health status 23 and self-management skills. Still there is little evidence for improved QoL, 24 depression or anxiety in HF patients, showing promising results for anxiety 24,25 but mostly no effects on depression.…”

Section: Telephone-based Health Coachingmentioning

confidence: 99%

Long-term effectiveness of telephone-based health coaching for heart failure patients: A post-only randomised controlled trial

et al. 2016

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Introduction The * Equal contributors. health-status of heart failure patients can be improved to some extent by disease self-management. One method of developing such skills is telephone-based health coaching. However, the effects of telephone-based health coaching remain inconclusive. The aim of this study was to evaluate the effects of telephone-based health coaching for people with heart failure. Methods A total sample of 7186 patients with various chronic diseases was randomly assigned to either the coaching or the control group. Then 184 patients with heart failure were selected by International Classification of Diseases (ICD)-10 code for subgroup analysis. Data were collected at 24 and 48 months after the beginning of the coaching. The primary outcome was change in quality of life. Secondary outcomes were changes in depression and anxiety, health-related control beliefs, control preference, health risk behaviour and health-related behaviours. Statistical analyses included a per-protocol evaluation, employing analysis of variance and analysis of covariance (ANCOVA) as well as Mann-Whitney U tests. Results Participants' average age was 73 years (standard deviation (SD) = 9) and the majority were women (52.8%). In ANCOVA analyses there were no significant differences between groups for the change in quality of life (QoL) However, the coaching group reported a significantly higher level of physical activity ( p = 0.03), lower intake of non-prescribed drugs ( p = 0.04) and lower levels of stress ( p = 0.02) than the control group. Mann-Whitney U tests showed a different external locus of control ( p = 0.014), and higher reduction in unhealthy nutrition ( p = 0.019), physical inactivity ( p = 0.004) and stress ( p = 0.028). Discussion Our results suggest that telephone-based health coaching has no effect on QoL, anxiety and depression of heart failure patients, but helps in improving certain risk behaviours and changes the locus of control to be more externalised.

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Section: Telephone-based Health Coachingmentioning

confidence: 99%

Long-term effectiveness of telephone-based health coaching for heart failure patients: A post-only randomised controlled trial

et al. 2016

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“…We can only suspect that it might have been the even higher disease burden in terms of health appraisal that was responsible for non-participation due to higher physical/mental distress or less self-efficacy. In several studies with the health insurance company, we noticed a very high response rate ( 26 , 44 , 45 ). We assume that a reminder letter that was sent 2 weeks after the initial questionnaire added to this excellent response rate.…”

Section: Limitationsmentioning

confidence: 83%

“…Participants were asked to estimate their SRH on a scale ranging from 0 to 10. The exact wording of the single-item measure was: “If you were to rate your general state of health on a scale from 0 to 10 – (“0” meaning “couldn’t be worse” and “10” meaning “couldn’t be better”) – how would you rate your current state of health?” Research results and psychometric properties concerning this specific measure are described elsewhere ( 25 , 26 ).…”

Section: Methodsmentioning

confidence: 99%

Predicting Self-Rated Health in Diabetes and Chronic Heart Failure – A Multiple Mediation Model

Böhme

Renneberg

2015

Front. Public Health

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PurposeSelf-rated health (SRH) is a powerful predictor of health-related outcomes such as morbidity and mortality. Aim of the current study was to examine the role of comorbidity, well-being, functional health, and physical limitations as possible predictors of SRH in diabetes and chronic heart failure (CHF).MethodsThree large samples with persons suffering from diabetes (n = 974), CHF (n = 955), or both diseases combined (n = 934) were analyzed longitudinally over the course of 4 months. To test the mediating effect of comorbidity, well-being, functional health, and physical limitations in association with former and future SRH multiple mediator models were applied.ResultsAcross all groups emotional well-being was a consistent and powerful determinant of SRH. The effects of functional health and physical limitations on SRH were also significant but varied between diagnostic groups. The number of comorbid diseases did not predict SRH.ConclusionEmotional well-being and physical health appraisal were strong predictors of SRH. Thus, SRH may be improved by influencing well-being and physical health appraisal via targeted interventions.

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“…These diseases are also associated with high utilization of medical care and frequent hospitalization. Prior evaluations of telephone counseling interventions with several chronic diseases have shown improvements in outcomes such as medication adherence, dietary habits, quality of life, and individual health outcomes (e.g., Buhrman, Fältenhag, Ström, & Anderson, 2004) and decreased impairments in everyday life (Böhme, Geiser, Mühlenhoff, Holtmann, & Renneberg, 2012). Our outcome variable here is the reported well-being of the patients.…”

Section: Illustrative Examplementioning

confidence: 99%

Propensity scores as a basis for equating groups: Basic principles and application in clinical treatment outcome research.

West¹,

Cham²,

Thoemmes³

et al. 2014

Journal of Consulting and Clinical Psychology

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107

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A propensity score is the probability that a participant is assigned to the treatment group based on a set of baseline covariates. Propensity scores provide an excellent basis for equating treatment groups on a large set of covariates when randomization is not possible. This article provides a nontechnical introduction to propensity scores for clinical researchers. If all important covariates are measured, then methods that equate on propensity scores can achieve balance on a large set of covariates that mimics that achieved by a randomized experiment. We present an illustration of the steps in the construction and checking of propensity scores in a study of the effectiveness of a health coach versus treatment as usual on the well-being of seriously ill individuals. We then consider alternative methods of equating groups on propensity scores and estimating treatment effects including matching, stratification, weighting, and analysis of covariance. We illustrate a sensitivity analysis that can probe for the potential effects of omitted covariates on the estimate of the causal effect. Finally, we briefly consider several practical and theoretical issues in the use of propensity scores in applied settings. Propensity score methods have advantages over alternative approaches to equating groups particularly when the treatment and control groups do not fully overlap, and there are nonlinear relationships between covariates and the outcome.

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Telephone Counseling for Patients with Chronic Heart Failure: Results of an Evaluation Study

Abstract: The results are auspicious and, if sustained, are expected to bring about long-term health benefits for our study's participants. The program proved to be applicable and well accepted in the sample of older, severely impaired CHF patients and effective in changing perceived health.

Cited by 7 publications

References 32 publications

Long-term effectiveness of telephone-based health coaching for heart failure patients: A post-only randomised controlled trial

Long-term effectiveness of telephone-based health coaching for heart failure patients: A post-only randomised controlled trial

Predicting Self-Rated Health in Diabetes and Chronic Heart Failure – A Multiple Mediation Model

Propensity scores as a basis for equating groups: Basic principles and application in clinical treatment outcome research.

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