Findings and lessons learnt implementing a cardiovascular disease quality improvement program in Australian primary care: a mixed method evaluation.

BACKGROUND: There are discrepancies between evidence-based guidelines for screening and management of cardiovascular disease (CVD) and implementation in Australian general practice. Quality-improvement (QI) initiatives aim to reduce these gaps. This study evaluated a QI program (QPulse) that focussed on CVD assessment and management. METHODS: This mixed-methods study explored the implementation of guidelines and adoption of a QI program with a CVD risk-reduction intervention in 34 general practices. CVD screening and management were measured pre- and post-intervention. Qualitative analyses examined participants' Plan-Do-Study-Act (PDSA) goals and in-depth interviews with practice stakeholders focussed on barriers and enablers to the program and were analysed thematically using Normalisation Process Theory (NPT). RESULTS: Pre- and post-intervention data were available from 15 practices (n = 19,562 and n = 20,249, respectively) and in-depth interviews from seven practices. At baseline, 45.0% of patients had their BMI measured and 15.6% had their waist circumference recorded in the past 2 years and blood pressure, lipids and smoking status were measured in 72.5, 61.5 and 65.3% of patients, respectively. Most high-risk patients (57.5%) were not prescribed risk-reducing medications. After the intervention there were no changes in the documentation and prevalence of risk factors, attainment of BP and lipid targets or prescription of CVD risk-reducing medications. However, there was variation in performance across practices with some showing isolated improvements, such as recording waist circumference (0.7-32.2% pre-intervention to 18.5-69.8% post-intervention), BMI and smoking assessment. Challenges to the program included: lack of time, need for technical support, a perceived lack of value for quality improvement work, difficulty disseminating knowledge across the practice team, tensions between the team and clinical staff and a part-time workforce. CONCLUSION: The barriers associated with this QI program was considerable in Australian GP practices. Findings highlighted they were not able to effectively operationalise the intervention due to numerous factors, ranging from lack of internal capacity and leadership to competing demands and insufficient external support. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Reference Number ( ACTRN12615000108516 ), registered 06/02/2015.

Time trends in stroke risk management among high-risk patients with non-valvular atrial fibrillation in Australia between 2011-2019.

Background: Atrial fibrillation (AF) is associated with stroke. Major changes to AF management recommendations in 2016-2018 advised that: 1. Stroke risk be estimated using the CHA2DS2-VA score; 2. Antiplatelet agents (APAs) do not effectively mitigate stroke risk; 3. Anticoagulation is prioritised above bleeding risk among high-risk patients; and 4. Non-vitamin K oral anticoagulants (NOACs) are used as first-line anticoagulants. Aim: To examine trends in stroke risk management among high-risk patients with non-valvular AF in Australia between 2011-2019. Method: De-identified data of patients were obtained from 164 separate general practices. Data included information on patient demographics, diagnoses, health risk factors and recent prescriptions. Patients with a diagnosis of non-valvular AF were identified and stroke risk was calculated by CHA2DS2-VA score. High risk patients (i.e. CHA2DS2-VA ≥ 2) were categorised as being managed by oral anticoagulants (OACs, i.e., warfarin or NOACs), APAs only, or neither (i.e., no OACs or APAs) and time trends in prescribing were examined. Multivariate analyses examined the characteristics of patients receiving the guideline recommended OAC management. Results: Data were available for 337,964 patients; 8696 (2.6 %) had AF. Most patients with AF (85.8 %, n = 7116) had high stroke risk. The proportion of high-risk patients managed on OACs increased from 56.7 % in 2011 to 73.7 % in 2019, while the proportion prescribed APAs declined from 31.1 % to 14.0 %. Those receiving neither treatment remained steady (around 12 %). Overall, 26.3 % of patients were inadequately anticoagulated at the end of the study period. There were no age or gender differences in receiving the guideline-recommended therapy, and patients with comorbidities associated with increased stroke risk were more likely to receive OAC therapy. Conclusions: Stroke risk management among patients with AF has improved between 2011-2019, however there is still scope for further gains as many high-risk patients remain inadequately anticoagulated. Better stroke risk assessment by clinicians coupled with addressing practitioner concerns about bleeding risk may improve management of high-risk patients.

Applying an equity lens to tobacco-control policies and their uptake in six Western-European countries.

We identified policies that may be effective in reducing smoking among socioeconomically disadvantaged groups, and examined trends in their level of application between 1985 and 2000 in six western-European countries (Sweden, Finland, the United Kingdom, the Netherlands, Germany, and Spain). We located studies from literature searches in major databases, and acquired policy data from international data banks and questionnaires distributed to tobacco policy organisations/researchers. Advertising bans, smoking bans in workplaces, removing barriers to smoking cessation therapies, and increasing the cost of cigarettes have the potential to reduce socioeconomic inequalities in smoking. Between 1985 and 2000, tobacco control policies in most countries have become more targeted to decrease the smoking behaviour of low-socioeconomic groups. Despite this, many national tobacco-control strategies in western-European countries still fall short of a comprehensive policy approach to addressing smoking inequalities.

Trends in smoking behaviour between 1985 and 2000 in nine European countries by education.

OBJECTIVE: To examine whether trends in smoking behaviour in Western Europe between 1985 and 2000 differed by education group. DESIGN: Data of smoking behaviour and education level were obtained from national cross sectional surveys conducted between 1985 and 2000 (a period characterised by intense tobacco control policies) and analysed for countries combined and each country separately. Annual trends in smoking prevalence and the quantity of cigarettes consumed by smokers were summarised for each education level. Education inequalities in smoking were examined at four time points. SETTING: Data were obtained from nine European countries: Norway, Sweden, Denmark, Finland, the United Kingdom, the Netherlands, Germany, Italy, and Spain. PARTICIPANTS: 451 386 non-institutionalised men and women 25-79 years old. MAIN OUTCOME MEASURES: Smoking status, daily quantity of cigarettes consumed by smokers. RESULTS: Combined country analyses showed greater declines in smoking and tobacco consumption among tertiary educated men and women compared with their less educated counterparts. In country specific analyses, elementary educated British men and women, and elementary educated Italian men showed greater declines in smoking than their more educated counterparts. Among Swedish, Finnish, Danish, German, Italian, and Spanish women, greater declines were seen among more educated groups. CONCLUSIONS: Widening education inequalities in smoking related diseases may be seen in several European countries in the future. More insight into effective strategies specifically targeting the smoking behaviour of low educated groups may be gained from examining the tobacco control policies of the UK and Italy over this period.

Dietary intakes of adults in the Netherlands by childhood and adulthood socioeconomic position.

OBJECTIVE: To determine whether there are socioeconomic differences in the intakes of total fat, fatty acids and fruit among adults in the Netherlands using childhood (parental) and participant's own socioeconomic position (SEP). Furthermore, to quantify the independent effects of childhood and adulthood SEP on dietary behavior in adulthood. DESIGN: Cross-sectional study among participants in the GLOBE study. SUBJECTS: A total of 2512 men and women, aged 25-78 y, living in a region in the southeast Netherlands. METHODS: Dietary intakes were collected by an interviewer-administered quantitative food frequency questionnaire. Average daily intakes of total energy, total, saturated, monounsaturated, polyunsaturated fat and fruit were calculated. The highest educational level was used to classify the participant's adulthood SEP. Parental indicators (mother's education and father's occupation when participants were 12 y of age) were used to classify childhood SEP. RESULTS: Males with lower levels of education had moderately higher energy intakes than their more educated counterparts, but did not differ in their intakes of total fat, fatty acids and fruit. Among females, the least educated groups had marginally higher intakes of total and monounsaturated fat than the most educated group, and were less likely to consume fruit. For most of these significant differences, the participant's own education demonstrated independent effects that were consistent with chronic disease inequalities. A small residual effect of mother's education was also demonstrated for intakes of some nutrients for males and females, and for fruit consumption among females. However, the effect size of mother's education was rather small and not always consistent with disease inequalities. CONCLUSIONS: The results imply that socioeconomic disparities in intakes of some dietary factors may contribute to inequalities in chronic disease. Adulthood SEP potentially has a more direct influence on dietary intake inequalities than childhood SEP.

A systematic review of environmental factors and obesogenic dietary intakes among adults: are we getting closer to understanding obesogenic environments?

This study examined whether physical, social, cultural and economical environmental factors are associated with obesogenic dietary behaviours and overweight/obesity among adults. Literature searches of databases (i.e. PubMed, CSA Illumina, Web of Science, PsychInfo) identified studies examining environmental factors and the consumption of energy, fat, fibre, fruit, vegetables, sugar-sweetened drinks, meal patterns and weight status. Twenty-eight studies were in-scope, the majority (n= 16) were conducted in the USA. Weight status was consistently associated with the food environment; greater accessibility to supermarkets or less access to takeaway outlets were associated with a lower BMI or prevalence of overweight/obesity. However, obesogenic dietary behaviours did not mirror these associations; mixed associations were found between the environment and obesogenic dietary behaviours. Living in a socioeconomically-deprived area was the only environmental factor consistently associated with a number of obesogenic dietary behaviours. Associations between the environment and weight status are more consistent than that seen between the environment and dietary behaviours. The environment may play an important role in the development of overweight/obesity, however the dietary mechanisms that contribute to this remain unclear and the physical activity environment may also play an important role in weight gain, overweight and obesity.

A systematic review of studies on socioeconomic inequalities in dietary intakes associated with weight gain and overweight/obesity conducted among European adults.

This Review examined socioeconomic inequalities in intakes of dietary factors associated with weight gain, overweight/obesity among adults in Europe. Literature searches of studies published between 1990 and 2007 examining socioeconomic position (SEP) and the consumption of energy, fat, fibre, fruit, vegetables, energy-rich drinks and meal patterns were conducted. Forty-seven articles met the inclusion criteria. The direction of associations between SEP and energy intakes were inconsistent. Approximately half the associations examined between SEP and fat intakes showed higher total fat intakes among socioeconomically disadvantaged groups. There was some evidence that these groups consume a diet lower in fibre. The most consistent evidence of dietary inequalities was for fruit and vegetable consumption; lower socioeconomic groups were less likely to consume fruit and vegetables. Differences in energy, fat and fibre intakes (when found) were small-to-moderate in magnitude; however, differences were moderate-to-large for fruit and vegetable intakes. Socioeconomic inequalities in the consumption of energy-rich drinks and meal patterns were relatively under-studied compared with other dietary factors. There were no regional or gender differences in the direction and magnitude of the inequalities in the dietary factors examined. The findings suggest that dietary behaviours may contribute to socioeconomic inequalities in overweight/obesity in Europe. However, there is only consistent evidence that fruit and vegetables may make an important contribution to inequalities in weight status across European regions.

Socioeconomic differences in takeaway food consumption and their contribution to inequalities in dietary intakes.

BACKGROUND: Takeaway consumption has been increasing and may contribute to socioeconomic inequalities in overweight/obesity and chronic disease. This study examined socioeconomic differences in takeaway consumption patterns and their contributions to dietary intake inequalities. METHOD: Cross-sectional dietary intake data from adults aged between 25 and 64 years from the Australian National Nutrition Survey (n = 7319, 61% response rate). Twenty-four-hour dietary recalls ascertained intakes of takeaway food, nutrients and fruit and vegetables. Education was used as a socioeconomic indicator. Data were analysed using logistic regression and general linear models. RESULTS: Thirty-two per cent (n = 2327) consumed takeaway foods in the 24-hour period. Lower educated participants were less likely than their higher educated counterparts to have consumed total takeaway foods (OR 0.64; 95% CI 0.52 to 0.80). Of those consuming takeaway foods, the lowest educated group was more likely to have consumed "less healthy" takeaway choices (OR 2.55; 95% CI 1.73 to 3.77), and less likely to have consumed "healthy" choices (OR 0.52; 95% CI 0.36 to 0.75). Takeaway foods made a greater contribution to energy, total fat, saturated fat and fibre intakes among lower than among higher educated groups. Lower likelihood of fruit and vegetable intakes were observed among "less healthy" takeaway consumers, whereas a greater likelihood of their consumption was found among "healthy" takeaway consumers. CONCLUSIONS: Total and the types of takeaway foods consumed may contribute to socioeconomic inequalities in intakes of energy, total and saturated fats. However, takeaway consumption is unlikely to be a factor contributing to the lower fruit and vegetable intakes among socioeconomically disadvantaged groups.

Household and food shopping environments: do they play a role in socioeconomic inequalities in fruit and vegetable consumption? A multilevel study among Dutch adults.

BACKGROUND: Fruit and vegetables are protective of a number of chronic diseases; however, their intakes have been shown to vary by socioeconomic position (SEP). Household and food shopping environmental factors are thought to contribute to these differences. To determine whether household and food shopping environmental factors are associated with fruit and vegetable (FV) intakes, and contribute to socioeconomic inequalities in FV consumption. METHODS: Cross-sectional data were obtained by a postal questionnaire among 4333 adults (23-85 years) living in 168 neighbourhoods in the south-eastern Netherlands. Participants agreed/disagreed with a number of statements about the characteristics of their household and food shopping environments, including access, prices and quality. Education was used to characterise socioeconomic position (SEP). Main outcome measures were whether or not participants consumed fruit or vegetables on a daily basis. Multilevel logistic regression models examined between-area variance in FV consumption and associations between characteristics of the household and food shopping environments and FV consumption. RESULTS: Only a few household and food shopping environmental factors were significantly associated with fruit and vegetable consumption, and their prevalence was low. Participants who perceived FV to be expensive were more likely to consume them. There were significant socioeconomic inequalities in fruit and vegetable consumption (ORs of not consuming fruit and vegetables were 4.26 and 5.47 among the lowest-educated groups for fruit and vegetables, respectively); however, these were not explained by any household or food shopping environmental factors. CONCLUSIONS: Improving access to FV in the household and food shopping environments will only make a small contribution to improving population consumption levels, and may only have a limited effect in reducing socioeconomic inequalities in their consumption.

Area variation in recreational cycling in Melbourne: a compositional or contextual effect?

OBJECTIVE: To examine whether compositional and/or contextual area characteristics are associated with area socioeconomic inequalities and between-area differences in recreational cycling. SETTING: The city of Melbourne, Australia. PARTICIPANTS: 2349 men and women residing in 50 areas (58.7% response rate). MAIN OUTCOME MEASURE: Cycling for recreational purposes (at least once a month vs never). DESIGN: In a cross-sectional survey participants reported their frequency of recreational cycling. Objective area characteristics were collected for their residential area by environmental audits or calculated with Geographic Information Systems software. Multilevel logistic regression models were performed to examine associations between recreational cycling, area socioeconomic level, compositional characteristics (age, sex, education, occupation) and area characteristics (design, safety, destinations or aesthetics). RESULTS: After adjustment for compositional characteristics, residents of deprived areas were less likely to cycle for recreation (OR 0.66; 95% CI 0.43 to 1.00), and significant between-area differences in recreational cycling were found (median odds ratio 1.48 (95% credibility interval 1.24 to 1.78). Aesthetic characteristics tended to be worse in deprived areas and were the only group of area characteristics that explained some of the area deprivation differences. Safety characteristics explained the largest proportion of between-area variation in recreational cycling. CONCLUSION: Creating supportive environments with respect to safety and aesthetic area characteristics may decrease between-area differences and area deprivation inequalities in recreational cycling, respectively.

Socioeconomic inequalities in food purchasing: the contribution of respondent-perceived and actual (objectively measured) price and availability of foods.

BACKGROUND: Research has shown that lower socioeconomic groups purchase foods that are less consistent with dietary recommendations. The price and availability of foods are thought to be important mediating factors between socioeconomic position and food purchasing. OBJECTIVES: We examined the relative contribution of the perceived and objectively measured price and availability of recommended foods to household income differences in food purchasing. METHODS: Using a face-to-face interview, a random sample of Brisbane residents (n=812) were asked about their food purchasing choices in 2000. They were also asked about their perceptions of the price and availability of 'recommended' foods (i.e. choices lower in fat, saturated fat, sugar, salt or higher in fibre) in the supermarkets where they usually shopped. Audits measuring the actual availability and price of identical foods were conducted in the same supermarkets. RESULTS: Lower socioeconomic groups were less likely to make food purchasing choices consistent with dietary guideline recommendations. Objective availability and price differences were not associated with purchasing choices, nor did they contribute to socioeconomic inequalities in food purchasing choices. Perceived availability and price differences were associated with the purchase of recommended foods. Perceived availability made a small contribution to inequalities in food purchasing, however perceived price differences did not. CONCLUSION: Socioeconomic inequalities in food purchasing are not mediated by differential availability of recommended foods and differences in price between recommended and regular foods in supermarkets, or by perceptions of their relative price. However, differential perceptions of the availability of recommended foods may play a small role in food purchasing inequalities.

A systematic review of environmental correlates of obesity-related dietary behaviors in youth.

There is increasing interest in the role the environment plays in shaping the dietary behavior of youth, particularly in the context of obesity prevention. An overview of environmental factors associated with obesity-related dietary behaviors among youth is needed to inform the development of interventions. A systematic review of observational studies on environmental correlates of energy, fat, fruit/vegetable, snack/fast food and soft drink intakes in children (4-12 years) and adolescents (13-18 years) was conducted. The results were summarized using the analysis grid for environments linked to obesity. The 58 papers reviewed mostly focused on sociocultural and economical-environmental factors at the household level. The most consistent associations were found between parental intake and children's fat, fruit/vegetable intakes, parent and sibling intake with adolescent's energy and fat intakes and parental education with adolescent's fruit/vegetable intake. A less consistent but positive association was found for availability and accessibility on children's fruit/vegetable intake. Environmental factors are predominantly studied at the household level and focus on sociocultural and economic aspects. Most consistent associations were found for parental influences (parental intake and education). More studies examining environmental factors using longitudinal study designs and validated measures are needed for solid evidence to inform interventions.

Underestimation and overestimation of personal weight status: associations with socio-demographic characteristics and weight maintenance intentions.

OBJECTIVE: Unwarranted underestimation and overestimation of personal weight status may prevent weight maintenance behaviour. The present study reports on correlates of under- and overestimation of personal weight status and the association with weight maintenance intentions and self-reported action. DESIGN: Comparison of three cross-sectional surveys, representing different population groups. SUBJECTS: Survey 1: 1694 adolescents 13-19 years of age; survey 2: 979 nonobese adults 25-35 years of age; survey 3: 617 adults 21-62 years of age. MEASUREMENTS: Self-administered written questionnaires (surveys 1 and 3) and telephone-administered questionnaires (survey 2); self-reported BMI, self-rated weight status, intentions and self-reported actions to avoid weight gain or to lose weight, sex, age, education and ethnic background. Respondents were classified as people who are realistic about personal body weight status or people who under- and overestimate their body weight status, based on BMI and self-rated weight status. RESULTS: Most respondents in the three survey populations were realistic about their weight status. Overestimation of weight status was consistently more likely among women, whereas underestimation was more likely among men, older respondents and respondents from ethnic minorities. Self-rated weight status was a stronger correlate of intentions and self-report actions to avoid weight gain than weight status based on Body Mass Index. CONCLUSIONS: Relevant proportions of the study populations underestimated or overestimated their bodyweight status. Overestimation of personal weight status may lead to unwarranted weight maintenance actions, whereas underestimation may result in lack of motivation to avoid further weight gain.

Socioeconomic differences among Australian adults in consumption of fruit and vegetables and intakes of vitamins A, C and folate.

OBJECTIVE: To determine whether socioeconomic groups differ in their food intakes for fruit and vegetables, their consumption of fruit and vegetables dense in vitamin A, folate and vitamin C, and their nutrient intakes of vitamin C, folate and vitamin A. METHODS: The 1995 Australian National Nutrition Survey collected food intake data from 8883 adults aged 18-64 years using a 24-h dietary recall. Fruit and vegetables were measured as amount (g) consumed. Intakes of nutrients were estimated from the 24-h dietary recall data. Participants were categorized by whether or not they consumed fruit or vegetables high in vitamin A, folate and vitamin C. Gross annual household income was used to measure socioeconomic position. RESULTS: Participants from low-income households consumed a smaller quantity of fruit and vegetables. They were also less likely to consume fruit and vegetables high in vitamin C, folate and vitamin A. Consistent with these findings, men and women from disadvantaged socioeconomic groups had lower intakes of vitamin C and folate compared with their more affluent counterparts. These differences were small to moderate in magnitude. Vitamin A intakes were not significantly related to income. CONCLUSION: As well as promoting healthy dietary practices, nutrition-promotion strategies should target the nutrient intakes of lower socioeconomic groups. These programmes should focus on improving the quantity and choice of fruit and vegetables consumed by people from low-income households.