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Medication, Healthcare Follow-up, and Lifestyle Nonadherence: Do They Share the Same Risk Factors?

ABSTRACT: Background:Barriers to medication adherence may differ from barriers in other domains of adherence. In this study, we assessed the association between pre-kidney transplantation (KT) factors with nonadherent behaviors in 3 different domains post-KT. Methods:We conducted a prospective cohort study with patient interviews at initial KT evaluation (baseline-nonadherence predictors in sociodemographic, condition-related, health system, and patient-related psychosocial factors) and at ≈6 mo post-KT (adherence outcomes: medications, healthcare follow-up, and lifestyle behavior). All patients who underwent KT at our institution and had ≈6-mo follow-up interview were included in the study. We assessed nonadherence in 3 different domains using continuous composite measures derived from the Health Habit Survey. We built multiple linear and logistic regression models, adjusting for baseline characteristics, to predict adherence outcomes. Results:We included 173 participants. Black race (mean difference in adherence score: -0.72; 95% confidence interval [CI], -1.12 to -0.32) and higher income (mean difference: -0.34; 95% CI, -0.67 to -0.02) predicted lower medication adherence. Experience of racial discrimination predicted lower adherence (odds ratio, 0.31; 95% CI, 0.12-0.76) and having internal locus of control predicted better adherence (odds ratio, 1.46; 95% CI, 1.06-2.03) to healthcare follow-up. In the lifestyle domain, higher education (mean difference: 0.75; 95% CI, 0.21-1.29) and lower body mass index (mean difference: -0.08; 95% CI, -0.13 to -0.03) predicted better adherence to dietary recommendations, but no risk factors predicted exercise adherence. Conclusions:Different nonadherence behaviors may stem from different motivation and risk factors (eg, clinic nonattendance due to experiencing racial discrimination). Thus adherence intervention should be individualized to target at-risk population (eg, bias reduction training for medical staff to improve patient adherence to clinic visit).

SUBMITTER: Ng YH

PROVIDER: S-EPMC8670587 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Implementation of interventions concerning prevention and health promotion in health care has faced particular challenges resulting in a low frequency and quality of these services. In November 2011, the Swedish National Board of Health and Welfare released national clinical practice guidelines to counteract patients' unhealthy lifestyle habits. Drawing on the results of a previous study as a point of departure, the aim of this two-year follow up was to assess the progress of work with lifestyle interventions in primary healthcare as well as the uptake and usage of the new guidelines on lifestyle interventions in clinical practice.Longitudinal study among health professionals with survey at baseline and 2 years later. Development over time and differences between professional groups were calculated with Pearson chi-square test.Eighteen percent of the physicians reported to use the clinical practice guidelines, compared to 58% of the nurses. Nurses were also more likely to consider them as a support in their work than physicians did. Over time, health professionals usage of methods to change patients' tobacco habits and hazardous use of alcohol had increased, and the nurses worked to a higher extent than before with all four lifestyles. Knowledge on methods for lifestyle change was generally high; however, there was room for improvement concerning methods on alcohol, unhealthy eating and counselling. Forty-one percent reported to possess thorough knowledge of counselling skills.Even if the uptake and usage of the CPGs on lifestyle interventions so far is low, the participants reported more frequent counselling on patients' lifestyle changes concerning use of tobacco and hazardous use of alcohol. However, these findings should be evaluated acknowledging the possibility of selection bias in favour of health promotion and lifestyle guidance, and the loss of one study site in the follow up. Furthermore, this study indicates important differences in physicians and nurses' attitudes to and use of the guidelines, where the nurses reported working to a higher extent with all four lifestyles compared to the first study. These findings suggest further investigations on the implementation process in clinical practice, and the physicians' uptake and use of the CPGs.

Project description:BackgroundThe association between nonadherence to chronic medications and potentially preventable healthcare utilization and spending is largely unknown.ObjectivesTo examine the associations of chronic medication nonadherence with potentially preventable utilization and spending among patients who were prescribed diabetic medications, renin-angiotensin system antagonists (RASA) for hypertension, or statins for high cholesterol, and compare the associations by patient race/ethnicity and socioeconomic status.DesignRetrospective cohort study. Medicare fee-for-service claims data from 2013 to 2016 for 177,881 patients.MeasuresMedication nonadherence was defined as having a below 80% proportion of days covered in each 6-month interval after the index prescription. Potentially preventable utilization was measured by preventable emergency department visits and preventable hospitalizations. Potentially preventable spending was calculated as the geographically adjusted spending associated with preventable encounters.ResultsAfter adjustment for other patient characteristics, medication nonadherence was associated with a 1.7-percentage-point increase (95% confidence interval [CI]: 1.4 to 2.0 percentage points, p < 0.001) in the probability of preventable utilization among the diabetic medication cohort, a 1.7-percentage-point increase (95% CI: 1.5 to 1.9 percentage points, p < 0.001) among the RASA cohort, and a 1.0-percentage-point increase (95% CI: 0.8 to 1.1 percentage points, p < 0.001) among the statin cohort. Among patients with at least one preventable encounter, medication nonadherence was associated with $679-$898 increased preventable spending. The incremental probability of preventable utilization and incremental spending associated with nonadherence were higher among racial/ethnic minority and low socioeconomic groups.ConclusionsImproving medication adherence is a potential avenue to reducing preventable utilization and spending. Interventions are needed to address racial/ethnic and socioeconomic disparities.

Project description:BackgroundIn this study, we tested the efficacy of a low-intensity lifestyle intervention aimed at reducing the risk of cardiovascular disease among mid-life individuals.MethodsWe conducted a randomized controlled trial in which participants were randomly assigned either to receive a health report card with counselling (from a Telehealth nurse) on smoking, exercise, nutrition and stress or to receive usual care. The patients were divided into 2 groups on the basis of risk: the primary prevention group, with a Framingham risk score of 10% or higher (intervention, n = 157; control, n = 158), and the secondary prevention group, who had a diagnosis of coronary artery disease (intervention, n = 153; control, n = 143). The primary outcome was a change in the Framingham global risk score between baseline and 1-year follow-up. Data were analyzed separately for the 2 prevention groups using an intention-to-treat analysis controlling for covariates.ResultsWithin the primary prevention group, there were statistically significant changes for the treatment group relative to the controls, from baseline to year 1, in Framingham score (intervention, -3.10 [95% confidence interval (CI) -3.98 to -2.22]; control, -1.30 [95% CI -2.18 to -0.42]; p < 0.01) and scores for total cholesterol (intervention, -0.41 [95% CI -0.59 to -0.23]; control, -0.14 [95% CI -0.32 to 0.04]; p < 0.05), systolic blood pressure (intervention, -7.49 [95% CI -9.97 to -5.01]; control, -3.58 [95% CI -6.08 to -1.08]; p < 0.05), nutrition level (intervention, 0.30 [95% CI 0.13 to 0.47]; control, -0.05 [95% CI -0.22 to 0.12]; p < 0.01), and health confidence (intervention, 0.20 [95% CI 0.09 to 0.31]; control, 0.04 [95% CI -0.07 to 0.15]; p < 0.05), with adjustment for covariates. No significant changes in outcome variables were found for the secondary prevention group.InterpretationWe found evidence for the efficacy of an intervention addressing multiple risk factors for primary prevention at 1 year using Framingham risk score report cards and telephone counselling. (Requirement for clinical trial registration waived [enrolment completed before requirement became applicable].).

Project description:BackgroundThe 20% observed mortality within 5 years among survivors of myocardial infarction may be explained in part by non-adherence to the recommended treatment over the long term.Main objectiveTo investigate post-myocardial infarction patients' adherence to the therapeutic, lifestyle and risk factor control recommendations of the French health authority over 6 years.Materials and methodsA cohort of survivors of myocardial infarction established in Tours in 2009 was followed over 6 years. The general practitioner of the patients included in the first 1-year follow-up study was contacted to collect data on treatments, cardiovascular risk factors and lifestyle between January and June 2015. Data were described and compared with the recommendations and predictors of achieving all the recommended targets were determined.ResultsA total of 97 patients (52%) among the 185 patients who underwent a coronary angioplasty for MI were included at baseline. Treatment was adapted by the general practitioner on the advice on the cardiologist for 75% (73/97) patients, by both of them for 12% (12/97) and by the general practitioner alone for 7% (7/97) patients. Among the 97 initial patients, 62 were included in the final analysis at 6 years. Fatal events rate was 5% (5/97) at 1 year and 12% (11/91) at 6 years. Non-fatal events rate was 44% (43/97) at 6 months, 19% (17/91) at 1 year and 29% (18/62) at 6 years. Six years after the myocardial infarction, 6 (10%) patients achieved the recommended targets in terms of prescriptions of treatment, risk factors and lifestyle targets. Exposure to a cardiac rehabilitation program after a myocardial infarction was associated with long-term achievement of optimal therapeutic objectives (OR = 7.31 [95% CI 1.74; 44.88], p<0.002).ConclusionOur data show suboptimal long-term adherence to secondary prevention treatment in this high-risk population of survivors of myocardial infarction, which seems to be improved in patients exposed to a cardiac rehabilitation program.

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Medication, Healthcare Follow-up, and Lifestyle Nonadherence: Do They Share the Same Risk Factors?

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