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Predictors of Counselling Related to a Healthy Lifestyle Carried Out by a General Practitioner.

ABSTRACT: The aim of the study was to assess whether general practitioners (GPs) monitor and evaluate the health behavior of their patients in the field of a diet, physical activity, and weight control, and whether they provide appropriate counselling as part of this evaluation. Predictors of those activities among physicians were also determined. The cross-sectional study was conducted in the Piotrkowski district among 200 GPs. The questionnaire covered socio-demographic data and lifestyle characteristics of the physicians, their role as healthy lifestyle providers, and whether they assess lifestyle characteristics of their patients and perform healthy lifestyle counselling. More than 60% of the GPs did not evaluate lifestyle features during their patients' examination. In total, 56% of the GPs provided healthy lifestyle recommendations among patients who have not been diagnosed with chronic lifestyle-related diseases but who do not follow healthy recommendations, and 73% of GPs provided recommendations to patients with chronic diseases related to lifestyle. The study showed that the chance to assess lifestyle characteristics of the patients was significantly higher for the GPs who believed that they were obliged to do so (OR = 6.5; p = 0.002). The chance to recommend a healthy lifestyle among patients who have not been diagnosed with chronic lifestyle-related diseases but who do not follow healthy recommendations was 5.9 times higher among the GPs working in the public sector (p < 0.001) and 16.3 times higher for these who believed that they had sufficient knowledge to provide the advice (p = 0.02). The following predictors of providing a healthy lifestyle counselling among patients with diagnosed chronic lifestyle-related diseases were identified: conviction that a GPs is obligated to provide it (OR = 4.4; p = 0.02), sufficient knowledge (OR = 8.7; p = 0.01), and following health recommendations by themselves (OR = 3.9; p = 0.04). Conclusions: The identified predictors are crucial for the development of appropriate strategies aiming at increasing GPs' involvement in preventive measures and consequently at improving the population's health.

SUBMITTER: Znyk M

PROVIDER: S-EPMC6888170 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Predictors of Counselling Related to a Healthy Lifestyle Carried Out by a General Practitioner.

Znyk Małgorzata M Polańska Kinga K Wojtysiak Piotr P Szulc Michał M Bąk-Romaniszyn Leokadia L Makowiec-Dąbrowska Teresa T Zajdel-Całkowska Justyna J Kaleta Dorota D

International journal of environmental research and public health 20191114 22

The aim of the study was to assess whether general practitioners (GPs) monitor and evaluate the health behavior of their patients in the field of a diet, physical activity, and weight control, and whether they provide appropriate counselling as part of this evaluation. Predictors of those activities among physicians were also determined. The cross-sectional study was conducted in the Piotrkowski district among 200 GPs. The questionnaire covered socio-demographic data and lifestyle characteristic ...[more]

PMID: 31739411

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Project description:The prevalence of age-related non-communicable chronic diseases has increased worldwide, being the leading causes of morbidity and death in many world regions, including in Europe. Innovative models and strategies focused on preventive care, including early identification of risk factors underlying disease onset and progression, and proper modification of lifestyle habits and behaviors, might contribute to promote quality of life, healthy living and active aging. Healthy Lifestyle Innovative Quarters for Cities and Citizens (HeaLIQs4cities) is an EIT Health-funded project aiming to engage, empower and educate citizens toward healthy lifestyles. One of the major objectives of this project was to develop a toolkit for a rapid and informal assessment of healthy lifestyles, to be used at different levels of care pathways, including in informal public environments. In this paper, we describe the methodology underlying the development of the toolkit, which resulted from the collaboration of an interdisciplinary focus group of academic experts, from medicine, sport sciences, psychology, health economics, and innovative technologies applied to health. The following eight components were included in the toolkit: (1) anthropometric assessment and cardiometabolic parameters; (2) physical activity and exercise; (3) well-being, social cohesion, and functional independence; (4) nutrition; (5) mental health; (6) smoking, drinking, and use of illicit substances; (7) sleep habits and quality; and (8) health and disease. A traffic light rating system indicating the risk score was used (low: green; moderate: yellow; and relevant: orange) for each of the 8 components, together with recommendations for the toolkit users. After completing the reduced version of the toolkit, individuals showing moderate or relevant risk in one or more of the 8 dimensions, were invited to participate in a more detailed assessment (toolkit long version), based on deeper and scientifically validated tools. The toolkit was incorporated in eVida, a web-based platform that focuses on delivering services to personalized health and well-being. The validation of the current toolkit has been applied in wide-ranging public events in three different European Regions. Large scale deployment of the toolkit is expected to profit from the Reference Site Collaborative Network of the European Innovation Partnership on Active and Healthy Aging (EIP on AHA).

Project description:BackgroundIn recent years, behaviourally driven policies such as nudges have been increasingly implemented to steer desired outcomes in public health. This study examines the different nudges and the socio-demographic characteristics and lifestyle behaviours that are associated with public acceptance of lifestyle nudges.MethodsThe study used data from the nationwide Knowledge, Attitudes and Practices study (KAP) on diabetes in Singapore. Three types of nudges arranged in increasing order of intrusiveness were examined: (1) information government campaigns, (2) government mandated information and (3) default rules and choice architecture. Acceptance was assessed based upon how much respondents 'agreed' with related statements describing heathy lifestyle nudges. Multivariable linear regressions were performed with socio-demographics and lifestyle behaviours using scores calculated for each nudge.ResultsThe percentage of respondents who agreed to all statements related to each nudge were: 75.9% (information government campaigns), 73.0% (government mandated information), and 33.4% (default rules and choice architecture). Respondents of Malay/Others ethnicity (vs. Chinese) were more likely to accept information government campaigns. Respondents who were 18 - 34 years old (vs 65 years and above), female, of Malay/Indian ethnicity (vs Chinese), were sufficiently physically active, and with a healthier diet based on the DASH (Dietary Approach to Stop Hypertension) score were more likely to accept nudges related to government mandated information. Respondents of Malay/Indian ethnicity (vs Chinese), and who had a healthier diet were more likely to accept default rules and choice architecture.ConclusionIndividuals prefer less intrusive approaches for promoting healthy lifestyle. Ethnicity and lifestyle behaviours are associated with acceptance of nudges and should be taken into consideration during the formulation and implementation of behaviourally informed health policies.

Project description:BackgroundPhysical activity offers major health benefits and counselling for it should be integrated into the medical consultation. Based on the literature, the personal health behaviour of the physician (including physical activity) is associated with his/her approach to counselling patients. Our hypothesis is that family doctors (FD) in Estonia are physically active and their recommendation to counsel patients with chronic diseases to use physical activity is high. The study was also interested in how FDs value physical activity among other important determinants of a healthy lifestyle, e.g. nutrition, non-consumption of alcohol, and non-smoking.MethodsPhysicians on the electronic list were contacted by e-mail and sent a questionnaire. The first part assessed physical activity by the International Physical Activity Questionnaire (IPAQ) short form. Self-reported physical activity during one week was calculated as total physical activity in minutes per week (MET min/week). The second part of the questionnaire included questions about the counselling of patients with chronic disease concerning their physical activity and a healthy lifestyle. The study focused on female FDs because 95% of the FDs in Estonia are women and to avoid bias related to gender.Results198 female FDs completed the questionnaire. 92% reported that they exercised over the past 7 days to a moderate or high level of physical activity. Analysis revealed no statistically significant relationship between the level of physical activity and general characteristics (age, living area, body mass index [BMI], time spent sitting). FDs reported that patients with heart problems, diabetes, and obesity seek their advice on physical activity more often than patients with depression. Over 94% of the FDs claimed that they counsel their patients with chronic diseases about exercising. According to the FDs' reports, the most important topic in counselling patients for a healthy lifestyle was physical activity.ConclusionThis study showed that female FDs are physically active. The level of physical activity is not related to their age, BMI, living area, or time spent sitting. Also, FDs reported that promotion of physical activity is part of their everyday work.

Project description:ObjectiveTo investigate the effect of systematic screening for risk factors for ischaemic heart disease followed by repeated lifestyle counselling on the 10 year development of ischaemic heart disease at a population level.DesignRandomised controlled community based trial.SettingSuburbs of Copenhagen, Denmark.Participants59,616 people aged 30-60 years randomised with different age and sex randomisation ratios to an intervention group (n = 11,629) and a control group (n = 47,987).InterventionThe intervention group was invited for screening, risk assessment, and lifestyle counselling up to four times over a five year period. All participants with an unhealthy lifestyle had individually tailored lifestyle counselling at all visits (at baseline and after one and three years); those at high risk of ischaemic heart disease, according to predefined criteria, were furthermore offered six sessions of group based lifestyle counselling on smoking cessation, diet, and physical activity. After five years all were invited for a final counselling session. Participants were referred to their general practitioner for medical treatment, if relevant. The control group was not invited for screening.Main outcome measuresThe primary outcome measure was incidence of ischaemic heart disease in the intervention group compared with the control group. Secondary outcome measures were stroke, combined events (ischaemic heart disease, stroke, or both), and mortality.Results6091 (52.4%) people in the intervention group participated at baseline. Among 5978 people eligible at five year follow-up (59 died and 54 emigrated), 4028 (67.4%) attended. A total of 3163 people died in the 10 year follow-up period. Among 58,308 without a history of ischaemic heart disease at baseline, 2782 developed ischaemic heart disease. Among 58,940 without a history of stroke at baseline, 1726 developed stroke. No significant difference was seen between the intervention and control groups in the primary end point (hazard ratio for ischaemic heart disease 1.03, 95% confidence interval 0.94 to 1.13) or in the secondary endpoints (stroke 0.98, 0.87 to 1.11; combined endpoint 1.01, 0.93 to 1.09; total mortality 1.00, 0.91 to 1.09).ConclusionA community based, individually tailored intervention programme with screening for risk of ischaemic heart disease and repeated lifestyle intervention over five years had no effect on ischaemic heart disease, stroke, or mortality at the population level after 10 years.Trial registration Clinical trials NCT00289237.

Project description:IntroductionMeasuring staff perceptions with safety climate surveys is a promising approach to addressing patient safety. Variation in safety climate scores between work sites may predict variability in risk related to tasks, work environment, staff behavior, and patient outcomes. Safety climate measurements may identify considerable variation in staff perceptions across work sites.ObjectiveTo explore variation in staff perceptions of patient safety climate across work sites in Norwegian General Practitioner (GP) practices and Out-of-hours clinics.MethodsThe Norwegian Safety Attitudes QuestionnaireAmbulatory Version (SAQ A) was used to survey staff perceptions of patient safety climate across a sample of GP practices and Out-of-hours clinics in Norway. We invited 510 primary health care providers to fill out the questionnaire anonymously online in October and November 2012. Work sites were 17 regular GP practices in Sogn & Fjordane County, and seven Out-of-hours clinics, of which six were designated as "Watchtower Clinics". Intra-class correlation coefficients were calculated to identify what proportion of the variation in the five factor scores (Teamwork climate, Safety climate, Job satisfaction, Perceptions of management, and Working conditions) were at work site-level.ResultsOf the 510 invited health care providers, 266 (52%) answered the questionnaire. Staff perceptions varied considerably at the work site level: intra-class correlation coefficients (ICCs) were 12.3% or higher for all factors except for Job satisfaction-the highest ICC value was for Perceptions of management: 15.5%.ConclusionAlthough most of the score variation was at the individual level, there was considerable response clustering within the GP practices and OOH clinics. This implies that the Norwegian SAQ A is able to identify GP practices and OOH clinics with high and low patient safety climate scores. Patient safety climate scores produced by the Norwegian version of the SAQ A may, thus, guide improvement and learning efforts to work sites according to the level of their scores.

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Predictors of Counselling Related to a Healthy Lifestyle Carried Out by a General Practitioner.

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Predictors of Counselling Related to a Healthy Lifestyle Carried Out by a General Practitioner.

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