Implementing (and evaluating) peer support with people living with noncommunicable diseases in humanitarian settings.

In line with the peer reviewers comments, the authors have added highlights in stead of an abstract. It was felt that it was better able to capture the findings and is more in line with the paper's target audience.

Implementing and evaluating integrated care models for non-communicable diseases in fragile and humanitarian settings.

In this commentary, we advocate for the wider implementation of integrated care models for NCDs within humanitarian preparedness, response, and resilience efforts. Since experience and evidence on integrated NCD care in humanitarian settings is limited, we discuss potential benefits, key lessons learned from other settings, and lessons from the integration of other conditions that may be useful for stakeholders considering an integrated model of NCD care. We also introduce our ongoing project in North Lebanon as a case example currently undergoing parallel tracks of program implementation and process evaluation that aims to strengthen the evidence base on implementing an integrated NCD care model in a crisis setting.

Exploring targeted preventive health check interventions - a realist synthesis.

BACKGROUND: Preventive health checks are assumed to reduce the risk of the development of cardio-metabolic disease in the long term. Although no solid evidence of effect is shown on health checks targeting the general population, studies suggest positive effects if health checks target people or groups identified at risk of disease. The aim of this study is to explore why and how targeted preventive health checks work, for whom they work, and under which circumstances they can be expected to work. METHODS: The study is designed as a realist synthesis that consists of four phases, each including collection and analysis of empirical data: 1) Literature search of systematic reviews and meta-analysis, 2) Interviews with key-stakeholders, 3) Literature search of qualitative studies and grey literature, and 4) Workshops with key stakeholders and end-users. Through the iterative analysis we identified the interrelationship between contexts, mechanisms, and outcomes to develop a program theory encompassing hypotheses about targeted preventive health checks. RESULTS: Based on an iterative analysis of the data material, we developed a final program theory consisting of seven themes; Target group; Recruitment and participation; The encounter between professional and participants; Follow-up activities; Implementation and operation; Shared understanding of the intervention; and Unintended side effects. Overall, the data material showed that targeted preventive health checks need to be accessible, recognizable, and relevant for the participants' everyday lives as well as meaningful to the professionals involved. The results showed that identifying a target group, that both benefit from attending and have the resources to participate pose a challenge for targeted preventive health check interventions. This challenge illustrates the importance of designing the recruitment and intervention activities according to the target groups particular life situation. CONCLUSION: The results indicate that a one-size-fits-all model of targeted preventive health checks should be abandoned, and that intervention activities and implementation depend on for whom and under which circumstances the intervention is initiated. Based on the results we suggest that future initiatives conduct thorough needs assessment as the basis for decisions about where and how the preventive health checks are implemented.

Non-participation in a targeted prevention program aimed at lifestyle-related diseases: a questionnaire-based assessment of patient-reported reasons.

BACKGROUND: Having an unhealthy lifestyle is associated with a higher risk of developing lifestyle-related diseases. Current evidence suggests that interventions targeting health-risk behaviors can help people improve their lifestyles and prevent lifestyle-related diseases. However, preventive programs are often challenged by low participation rates. Reasons for non-participation include lack of time and/or interest, and/or no perceived need for lifestyle intervention. This study explores causes for non-participation in a sample of people who chose not to take up a targeted preventive program (TOF pilot2 study). Patient-reported reasons as well as sociodemographic characteristics and lifestyle factors are in focus. METHODS: A total of 4633 patients from four Danish GP clinics received an invitation to take part in the TOF pilot2 study. Patients who chose not to participate in the TOF pilot2 study were asked to fill in a questionnaire concerning reasons for non-participation, lifestyle, BMI and self-rated health. Descriptive analyses were used to summarize the results. RESULTS: A total of 2462 patients (53.1%) chose not to participate in the TOF pilot2 study. Among these, 84 (3.4%) answered the full questionnaire on reasons for not participating, lifestyle, BMI and self-rated health. The most common reasons for non-participation were lack of time, having an already healthy lifestyle, and feeling healthy. Based on their self-reported lifestyle 45 (53.6%) of the non-participants had one or more health-risk behaviors including smoking, unhealthy diet, BMI ≥ 35 and/or sedentary lifestyle and were therefore eligible to receive the targeted intervention at the GP or the MHC in the original TOF pilot2 study. CONCLUSION: When planning future preventive programs it is important to know the main reasons for patients to not participate. This study provides rare insight into why people opt out of health interventions and advances the evidence base in this area. Our results may inform efforts to better involve these patients in preventive health programs. TRIAL REGISTRATION: Trial registration number: NCT02797392 .

Effects of a Co-Design-Based Invitation Strategy on Participation in a Preventive Health Check Program: Randomized Controlled Trial.

BACKGROUND: Preventive primary care programs that aim to reduce morbidity and mortality from lifestyle-related diseases are often affected by low-to-moderate participation rates. Improving participation rates is essential for clinical effectiveness and cost-effectiveness. In 2016-2017, we conducted a pilot study (TOF pilot1) for a preventive primary care intervention (TOF is the Danish abbreviation for "Early Detection and Prevention"). Among 8814 invited patients, 3545 (40.22%) consented to participate, with the highest participation rates among women and patients with higher income, education, and employment. OBJECTIVE: The aim of this study was to evaluate the effects of a revised invitation strategy on invitation comprehensibility, the overall participation rate, and participant demography. The new strategy specifically targeted men and patients of low educational attainment. METHODS: This study was embedded in the second TOF pilot study (TOF pilot2, initiated in October 2018) that tested an adjusted intervention. The revised invitation strategy comprised a prenotification postcard and a new invitation that specifically targeted men and patients of low educational attainment. The new invitation was developed in a co-design process that included communication professionals and target-group representatives. The study sample consisted of 4633 patients aged between 29 and 59 years, who resided in one of two municipalities in the Region of Southern Denmark. Eligible patients were randomly assigned to one of four invitation groups. The control group (Group 1) received the original invitation used in TOF pilot1. The intervention groups received the original invitation and the prenotification postcard (Group 2), the new revised invitation and the prenotification postcard (Group 3), or the new invitation but no prenotification postcard (Group 4). RESULTS: Overall, 2171 (46.86%) patients consented to participate. Compared to the control group, participation rates increased significantly in all three intervention groups (all P<.001). Participation across the three intervention groups increased for women and men, as well as for patients with high and low educational attainment and high and low family income. The largest relative increase in participation rates occurred among men, patients with low educational attainment, and patients with low family income. No increase in participation was detected for unemployed patients or patients of non-Danish origin. Most participants found the original (813/987, 82.37%) and new (965/1133, 85.17%) invitations easy to understand with no significant difference (P=.08) in comprehensibility between invitations. CONCLUSIONS: The results suggest that participation in preventive primary care interventions can be greatly increased by implementing a co-design-based invitation strategy that includes prenotification postcards and targeted invitations. Although firm conclusions cannot be made from this study, the observed increased participation rates for men and patients of low socioeconomic status may be relevant in programs that aim to reduce social inequality in health. TRIAL REGISTRATION: ClinicalTrials.gov NCT03913585; https://clinicaltrials.gov/ct2/show/NCT03913585.

Prediction of first cardiovascular disease event in 2.9 million individuals using Danish administrative healthcare data: a nationwide, registry-based derivation and validation study.

Aims: The aim of this study was to derive and validate a risk prediction model with nationwide coverage to predict the individual and population-level risk of cardiovascular disease (CVD). Methods and results: All 2.98 million Danish residents aged 30-85 years free of CVD were included on 1 January 2014 and followed through 31 December 2018 using nationwide administrative healthcare registries. Model predictors and outcome were pre-specified. Predictors were age, sex, education, use of antithrombotic, blood pressure-lowering, glucose-lowering, or lipid-lowering drugs, and a smoking proxy of smoking-cessation drug use or chronic obstructive pulmonary disease. Outcome was 5-year risk of first CVD event, a combination of ischaemic heart disease, heart failure, peripheral artery disease, stroke, or cardiovascular death. Predictions were computed using cause-specific Cox regression models. The final model fitted in the full data was internally-externally validated in each Danish Region. The model was well-calibrated in all regions. Area under the receiver operating characteristic curve (AUC) and Brier scores ranged from 76.3% to 79.6% and 3.3 to 4.4. The model was superior to an age-sex benchmark model with differences in AUC and Brier scores ranging from 1.2% to 1.5% and -0.02 to -0.03. Average predicted risks in each Danish municipality ranged from 2.8% to 5.9%. Predicted risks for a 66-year old ranged from 2.6% to 25.3%. Personalized predicted risks across ages 30-85 were presented in an online calculator (https://hjerteforeningen.shinyapps.io/cvd-risk-manuscript/). Conclusion: A CVD risk prediction model based solely on nationwide administrative registry data provided accurate prediction of personal and population-level 5-year first CVD event risk in the Danish population. This may inform clinical and public health primary prevention efforts.

Changes in Health-Risk Behavior, Body Mass Index, Mental Well-Being, and Risk Status Following Participation in a Stepwise Web-Based and Face-to-Face Intervention for Prevention of Lifestyle-Related Diseases: Nonrandomized Follow-Up Cohort Study.

BACKGROUND: Recent evidence suggests the effectiveness of stepwise, targeted approaches for the prevention of lifestyle-related diseases with combinations of web-based and face-to-face interventions showing promising results. OBJECTIVE: This paper reports on 1-year changes in health-risk behaviors, BMI, self-rated health, mental well-being, and risk of disease at 1-year follow-up after participation in a stepwise intervention that targeted persons at high risk of disease and persons with health-risk behavior. To this end, we distinguish between participants who took up the full intervention (web-based plus face-to-face) and those who received only the web-based intervention. METHODS: The Early Detection and Prevention (Danish acronym: TOF) pilot study was conducted as a nonrandomized, 1-year follow-up intervention study in two municipalities in the Region of Southern Denmark. A total of 9400 citizens born between 1957 and 1986 (aged 29 to 60 years) were randomly sampled from participating general practitioner (GP) patient-list systems and were invited to take part in the study. Participants were subsequently stratified into risk groups based on their responses to a questionnaire on health-risk behavior and data from their GP's electronic patient record (EPR) system. All participants received a digital personal health profile with individualized information on current health-risk behavior and targeted advice on relevant health-risk behavior changes. In addition, patients at high risk of disease, as indicated by their digital health profile, were offered a targeted intervention at their GP. Patients who were not deemed at high risk of disease but who exhibited health-risk behaviors were offered a targeted intervention at their municipal health center (MHC). At 1-year follow-up, health-risk behaviors, self-rated health, BMI, and mental well-being were reassessed by questionnaire, and current information on diagnoses and medical treatment was retrieved from the EPRs. RESULTS: Of 598 patients at high risk of disease or with health-risk behavior, 135 took up the targeted intervention at their GP or MHC and 463 received the personal health profile only. From baseline to 1-year follow-up, the number of patients with unhealthy eating habits decreased, mean mental well-being increased, and smoking prevalence decreased in patients who had received the digital personal health profile alone. Among patients who took up the targeted intervention, unhealthy eating habits and sedentary lifestyles decreased and significant reductions in mean BMI were observed. At 1-year follow up, no health-risk behaviors were detected among 17.4% of patients who at baseline had exhibited health-risk behaviors or high risk of disease. CONCLUSIONS: A stepwise targeted preventive approach using web-based and face-to-face elements may lead to favorable lifestyle changes. Specifically, a web-based approach may improve smoking and eating habits and mental well-being, whereas supplementary face-to-face interventions may be necessary to improve exercise habits and BMI. TRIAL REGISTRATION: ClinicalTrials.gov NCT02797392; https://clinicaltrials.gov/ct2/show/NCT02797392. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12875-018-0820-8.

Patient preferences for preventive health checks in Danish general practice: a discrete choice experiment among patients at high risk of noncommunicable diseases.

BACKGROUND: Preventive health checks targeted at the at-risk population can be a way of preventing noncommunicable diseases. However, evidence on patient preferences for preventive health checks is limited, especially among patients with a high risk of noncommunicable diseases. OBJECTIVE: To examine patient preferences for preventive health checks in Danish general practice, targeting persons at high risk of a noncommunicable disease. METHODS: The method used in this study was a discrete choice experiment (DCE) with five attributes: assess, advice, agree, assist and arrange. The attributes were inspired by the 5A model for behaviour change counselling but was altered for the purpose of this study to grasp the entirety of the general practice-based intervention. Moreover, the attribute levels were defined to resemble daily clinical practice. The experimental design of the DCE was an efficient Bayesian main effects design and the results were analysed using a random utility theory framework. RESULTS: A total of 148 patients completed the DCE. Patients at high risk of a noncommunicable disease have positive preferences for: giving brief explanations about own lifestyle, practicing shared decision-making with the general practitioner (GP), follow-up counselling with the GP after the preventive health check and scheduling a new appointment right after the preventive health check. CONCLUSIONS: The results provide Danish GPs with evidence on their patients' preferences towards preventive health checks which will enable the GPs to tailor these consultations. Moreover, the results suggest that pre-appointment measures, such as a health profile, may mediate a preference for more action-oriented attributes. TRIAL REGISTRATION: Registered at Clinical Trial Gov (Unique Protocol ID: TOFpilot2016, https://clinicaltrials.gov/ct2/show/NCT02797392?term=TOFpilot2016&rank=1). Prospectively registered on the 29th of April 2016.

The effectiveness of general practice-based health checks on health behaviour and incidence on non-communicable diseases in individuals with low socioeconomic position: a randomised controlled trial in Denmark.

BACKGROUND: The effectiveness of health checks aimed at the general population is disputable. However, it is not clear whether health checks aimed at certain groups at high risk may reduce adverse health behaviour and identify persons with metabolic risk factors and non-communicable diseases (NCDs). OBJECTIVES: To assess the effect of general practice-based health checks on health behaviour and incidence on NCDs in individuals with low socioeconomic position. METHODS: Individuals with no formal education beyond lower secondary school and aged 45-64 years were randomly assigned to the intervention group of a preventive health check or to control group of usual care in a 1:1 allocation. Randomisation was stratified by gender and 5-year age group. Due to the real-life setting, blinding of participants was only possible in the control group. Effects were analysed as intention to treat (ITT) and per protocol. The trial was undertaken in 32 general practice units in Copenhagen, Denmark. INTERVENTION: Invitation to a prescheduled preventive health check from the general practitioner (GP) followed by a health consultation and an offer of follow-up with health risk behaviour change or preventive medical treatment, if necessary. PRIMARY OUTCOME MEASURES: Smoking status at 12-month follow-up. Secondary outcomes included status in other health behaviours such as alcohol consumption, physical activity and body mass index (measured by self-administered questionnaire), as well as incidence of metabolic risk factors and NCDs such as hypertension, hypercholesterolaemia, chronic obstructive pulmonary disease, diabetes mellitus, hypothyroidism, hyperthyroidism and depression (drawn from national healthcare registries). RESULTS: 1104 participants were included in the study. For the primary outcome, 710 participants were included in the per protocol analysis, excluding individuals who did not attend the health check, and 1104 participants were included in the ITT analysis. At 12-month follow-up, 37% were daily smokers in the intervention group and 37% in the control group (ORs=0.99, 95% CI: 0.76 to 1.30). No difference in health behaviour nor in the incidence of metabolic risk factors and NCDs between the intervention and control group were found. Side effects were comparable across the two groups. CONCLUSION: The lack of effectiveness may be due to low intensity of intervention, a high prevalence of metabolic risk factors and NCDs among the participants at baseline as well as a high number of contacts with the GPs in general or to the fact that general practices are not an effective setting for prevention. TRIAL REGISTRATION NUMBER: NCT01979107.

What should selective cardiometabolic prevention programmes in European primary care look like? A consensus-based design by the SPIMEU group.

Background: Selective prevention of cardiometabolic diseases (CMD)-that is, preventive measures specifically targeting the high-risk population-may represent the most effective approach for mitigating rising CMD rates. Objectives: To develop a universal concept of selective CMD prevention that can guide implementation within European primary care. Methods: Initially, 32 statements covering different aspects of selective CMD prevention programmes were identified based on a synthesis of evidence from two systematic literature reviews and surveys conducted within the SPIMEU project. The Rand/UCLA appropriateness method (RAM) was used to find consensus on these statements among an international panel consisting of 14 experts. Before the consensus meeting, statements were rated by the experts in a first round. In the next step, during a face-to-face meeting, experts were provided with the results of the first rating and were then invited to discuss and rescore the statements in a second round. Results: In the outcome of the RAM procedure, 28 of 31 statements were considered appropriate and three were rated uncertain. The panel deleted one statement. Selective CMD prevention was considered an effective approach for preventing CMD and a proactive approach was regarded as more effective compared to case-finding alone. The most efficient method to implement selective CMD prevention systematically in primary care relies on a stepwise approach: initial risk assessment followed by interventions if indicated. Conclusion: The final set of statements represents the key characteristics of selective CMD prevention and can serve as a guide for implementing selective prevention actions in European primary care.

Step-wise approach to prevention of chronic diseases in the Danish primary care sector with the use of a personal digital health profile and targeted follow-up - an assessment of attendance.

BACKGROUND: Current evidence on chronic disease prevention suggests that interventions targeted at high-risk individuals represents the best way forward. We implemented a step-wise approach in the Danish primary care sector, designed for the systematic and targeted prevention of chronic disease. The intervention centered on a personal digital health profile for all participants, followed by targeted preventive programs for high-risk patients. The present paper examines individual characteristics and health-care usage of patients who took up the targeted preventive programs in response to their personal digital health profile. METHODS: A sample of patients born between 1957 and 1986 was randomly selected from the patient-list system of participating general practitioners in two Danish municipalities. The selected patients received a digital invitation to participate. Consenting patients received a second digital invitation for a personal digital health profile based on questionnaire and electronic patient record data. The personal digital health profile contained individualized information on risk profile and personalized recommendations on further actions. If at-risk or presenting with health-risk behaviour a patient would be advised to contact either their general practitioner or municipal health centre for targeted preventive programs. Attendance at the targeted preventive programs was examined using Poisson regression and chi-squared automatic interaction detection methods. RESULTS: A total of 9400 patients were invited. Of those who participated (30%), 22% were advised to get a health check at their general practitioner. Of these, 19% did so. Another 23% were advised to schedule an appointment for behaviour-change counselling at their municipal health centre. A total of 21% took the advice. Patients who had fair or poor self-rated health, a body mass index above 30, low self-efficacy, were female, non-smokers, or lead a sedentary lifestyle, were most likely to attend the targeted preventive programs. CONCLUSIONS: A personal digital health profile shows some promise in a step-wise approach to prevention in the Danish primary care sector and seems to motivate people with low self-efficacy to attend targeted preventive programs. TRIAL REGISTRATION: Registered at Clinical Trial Gov (Unique Protocol ID: TOFpilot2016 ). Prospectively registered on the 29th of April 2016.

Using general practitioners to recruit individuals with low socioeconomic position to preventive health checks is feasible: a cross sectional study.

Objective: To test whether demographic and health-related characteristics are associated with non-attendance of preventive health checks offered to individuals with low levels of education using proactive recruitment by the general practitioners. Design: A cross-sectional study. Setting: 32 general practice clinics in Copenhagen, Denmark. Subjects: A total of 549 individuals aged 45-64, with low levels of education, enrolled in the intervention group of a randomised controlled trial on preventive health checks offered by general practitioner. Main outcome measures: Non-attendance of the preventive health checks. Methods: (i) Descriptive characteristics of attendees and non-attendees and (ii) crude and adjusted multi-level logistic regression to examine associations of individual characteristics with non-attendance of preventive health checks. Results: Overall, 33% did not attend the prescheduled preventive health checks at their general practitioners. Non-attendees were more likely to live without a partner, be of non-Western origin, be daily smokers, have poor self-rated health, have higher pulmonary symptoms score, have increased level of stress, have low levels of self-efficacy, have metabolic risk factors or non-communicable diseases and have had no contact with their general practitioner within the past year. Conclusion: The findings suggest that, it is feasible to use general practitioners for recruiting individuals for preventive health checks. However, even in a trial targeting individuals with low levels of education, there are differences between attendees and non-attendees, with a more adverse health behaviour profile and worse health status observed among the non-attendees. KEY POINTS Current awareness • Non-attendance of preventive health checks offered to the general population is associated with low socioeconomic position and adverse health behaviours. Main statements • It is feasible to use general practitioners proactively in recruitment to preventive health checks offered to individuals with low socioeconomic positions. • In a trial targeting individuals with low levels of education, there were differences between attendees and non-attendees. • Non-attendance was associated with daily smoking, poor self-rated health, high stress and no contact with the general practitioner within the last year.

Digital Recruitment and Acceptance of a Stepwise Model to Prevent Chronic Disease in the Danish Primary Care Sector: Cross-Sectional Study.

BACKGROUND: During recent years, stepwise approaches to health checks have been advanced as an alternative to general health checks. In 2013, we set up the Early Detection and Prevention project (Tidlig Opsporing og Forebyggelse, TOF) to develop a stepwise approach aimed at patients at high or moderate risk of a chronic disease. A novel feature was the use of a personal digital mailbox for recruiting participants. A personal digital mailbox is a secure digital mailbox provided by the Danish public authorities. Apart from being both safe and secure, it is a low-cost, quick, and easy way to reach Danish residents. OBJECTIVE: In this study we analyze the association between the rates of acceptance of 2 digital invitations sent to a personal digital mailbox and the sociodemographic determinants, medical treatment, and health care usage in a stepwise primary care model for the prevention of chronic diseases. METHODS: We conducted a cross-sectional analysis of the rates of acceptance of 2 digital invitations sent to randomly selected residents born between 1957 and 1986 and residing in 2 Danish municipalities. The outcome was acceptance of the 2 digital invitations. Statistical associations were determined by Poisson regression. Data-driven chi-square automatic interaction detection method was used to generate a decision tree analysis, predicting acceptance of the digital invitations. RESULTS: A total of 8814 patients received an invitation in their digital mailbox from 47 general practitioners. A total of 40.22% (3545/8814) accepted the first digital invitation, and 30.19 % (2661/8814) accepted both digital invitations. The rates of acceptance of both digital invitations were higher among women, older patients, patients of higher socioeconomic status, and patients not diagnosed with or being treated for diabetes mellitus, chronic obstructive pulmonary disease, or cardiovascular disease. CONCLUSIONS: To our knowledge, this is the first study to report on the rates of acceptance of digital invitations to participate in a stepwise model for prevention of chronic diseases. More studies of digital invitations are needed to determine if the acceptance rates seen in this study should be expected from future studies as well. Similarly, more research is needed to determine whether a multimodal recruitment approach, including digital invitations to personal digital mailboxes will reach hard-to-reach subpopulations more effectively than digital invitations only.

Targeted prevention in primary care aimed at lifestyle-related diseases: a study protocol for a non-randomised pilot study.

BACKGROUND: The consequences of lifestyle-related disease represent a major burden for the individual as well as for society at large. Individual preventive health checks to the general population have been suggested as a mean to reduce the burden of lifestyle-related diseases, though with mixed evidence on effectiveness. Several systematic reviews, on the other hand, suggest that health checks targeting people at high risk of chronic lifestyle-related diseases may be more effective. The evidence is however very limited. To effectively target people at high risk of lifestyle-related disease, there is a substantial need to advance and implement evidence-based health strategies and interventions that facilitate the identification and management of people at high risk. This paper reports on a non-randomized pilot study carried out to test the acceptability, feasibility and short-term effects of a healthcare intervention in primary care designed to systematically identify persons at risk of developing lifestyle-related disease or who engage in health-risk behavior, and provide targeted and coherent preventive services to these individuals. METHODS: The intervention took place over a three-month period from September 2016 to December 2016. Taking a two-pronged approach, the design included both a joint and a targeted intervention. The former was directed at the entire population, while the latter specifically focused on patients at high risk of a lifestyle-related disease and/or who engage in health-risk behavior. The intervention was facilitated by a digital support system. The evaluation of the pilot will comprise both quantitative and qualitative research methods. All outcome measures are based on validated instruments and aim to provide results pertaining to intervention acceptability, feasibility, and short-term effects. DISCUSSION: This pilot study will provide a solid empirical base from which to plan and implement a full-scale randomized study with the central aim of determining the efficacy of a preventive health intervention. TRIAL REGISTRATION: Registered at Clinical Trial Gov (Unique Protocol ID: TOFpilot2016 ). Registered 29 April 2016. The study adheres to the SPIRIT guidelines.

Uptake of health checks by residents from the Danish social housing sector - a register-based cross-sectional study of patient characteristics in the 'Your Life - Your Health' program.

BACKGROUND: Poor uptake among socio-economically disadvantaged and susceptible populations is a well-known challenge of general health check interventions, and is widely cited as one of the reasons for the lack of population level effects seen in many studies. We report on patient characteristics among attendees and non-attendees of health checks made available to residents in the social housing sector of the municipality of Aarhus. We focus on this general population, as well as a particular sub-group living in an exceptionally deprived social housing area, and discuss the properties of intervention uptake that we need to be aware of to qualify and compare the effects of general versus targeted health checks in socially deprived areas. METHODS: Cross-sectionally in a sample of 6650 residents of the Aarhus social housing sector who were invited for a health check in the first year of the 'Your Life - Your Health' program. The analyses consisted of 1) descriptive analysis of the characteristics of attenders/non-attenders, 2) unadjusted and adjusted Poisson regression to examine associations of patient characteristics and uptake of health checks, and 3) decision tree analyses (CHAID) to examine interaction and homogeneity in patient characteristics among attenders. RESULTS: Of the overall population 30% attended. In a nested cohort of people residing in a particularly deprived social housing settlement, 25% attended. Further, in the overall population, we found an association between the likelihood of taking up a health check and age, sex, country of origin, educational attainment, cohabitation, occupational status, and past medical treatment. In the nested cohort the association between uptake and medical treatment was non-significant, while the association between uptake and occupation was limited to people who were employed. These results resonate with past evidence on health check attendance. CONCLUSIONS: Attendance in the 'Your Life - Your Health' program is higher among people of a higher socio-economic status. This should be taken into consideration when analysing and interpreting the overall study effects. Moreover, the results suggest that a targeted approach in the social housing sector could be more effective than a mass screening approach. However, more information is required to make such assertion definitive.