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Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

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

Authors: Lars Bruun Larsen, Annelli Sandbaek, Janus Laust Thomsen, Anne-Louise Bjerregaard

Published in: BMC Public Health | Issue 1/2018

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Abstract

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.
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Literature
1.
go back to reference Dryden R, Williams B, McCowan C, Themessl-Huber M. What do we know about who does and does not attend general health checks? Findings from a narrative scoping review. BMC Public Health. 2012;12:723.CrossRefPubMedPubMedCentral Dryden R, Williams B, McCowan C, Themessl-Huber M. What do we know about who does and does not attend general health checks? Findings from a narrative scoping review. BMC Public Health. 2012;12:723.CrossRefPubMedPubMedCentral
2.
go back to reference Krogsbøll LT, Jørgensen KJ, Grønhøj Larsen C, Gøtzsche PC. General health checks in adults for reducing morbidity and mortality from disease: Cochrane systematic review and meta-analysis. BMJ. 2012;345:e7191.CrossRefPubMedPubMedCentral Krogsbøll LT, Jørgensen KJ, Grønhøj Larsen C, Gøtzsche PC. General health checks in adults for reducing morbidity and mortality from disease: Cochrane systematic review and meta-analysis. BMJ. 2012;345:e7191.CrossRefPubMedPubMedCentral
3.
go back to reference Bender AM, Jørgensen T, Helbech B, Linneberg A, Pisinger C. Socioeconomic position and participation in baseline and follow-up visits: the Inter99 study. Eur J Prev Cardiol. 2014;21:899–905.CrossRefPubMed Bender AM, Jørgensen T, Helbech B, Linneberg A, Pisinger C. Socioeconomic position and participation in baseline and follow-up visits: the Inter99 study. Eur J Prev Cardiol. 2014;21:899–905.CrossRefPubMed
4.
go back to reference Bender AM, Jørgensen T, Pisinger C. Is self-selection the main driver of positive interpretations of general health checks? The Inter99 randomized trial. Prev Med. 2015;81:42–8.CrossRefPubMed Bender AM, Jørgensen T, Pisinger C. Is self-selection the main driver of positive interpretations of general health checks? The Inter99 randomized trial. Prev Med. 2015;81:42–8.CrossRefPubMed
5.
go back to reference Bender AMF, Jørgensen T, Pisinger C. Effects of general health checks differ under two different analyses perspectives—the Inter99 randomized study. J Clin Epidemiol. 2016;71:120–2.CrossRefPubMed Bender AMF, Jørgensen T, Pisinger C. Effects of general health checks differ under two different analyses perspectives—the Inter99 randomized study. J Clin Epidemiol. 2016;71:120–2.CrossRefPubMed
7.
go back to reference Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, et al. 2016 European guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2016;37:2315–81.CrossRefPubMedPubMedCentral Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, et al. 2016 European guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2016;37:2315–81.CrossRefPubMedPubMedCentral
8.
go back to reference Tunstall-Pedoe H, Woodward M. By neglecting deprivation, cardiovascular risk scoring will exacerbate social gradients in disease. Heart. 2006;92:307–10.CrossRefPubMed Tunstall-Pedoe H, Woodward M. By neglecting deprivation, cardiovascular risk scoring will exacerbate social gradients in disease. Heart. 2006;92:307–10.CrossRefPubMed
9.
go back to reference Dalton ARH, Soljak M. The nationwide systematic prevention of cardiovascular disease: the UK’s health check programme. J Ambul Care Manage. 2012;35:206–15.CrossRefPubMed Dalton ARH, Soljak M. The nationwide systematic prevention of cardiovascular disease: the UK’s health check programme. J Ambul Care Manage. 2012;35:206–15.CrossRefPubMed
10.
go back to reference Dekker JM, Alssema M, Janssen P, Van der Paardt M, Festen C, Van Oosterhout M, et al. NHG-Standaard Het PreventieConsult module Cardiometabool Risico. Huisarts Wet. 2011;54:138–55.CrossRef Dekker JM, Alssema M, Janssen P, Van der Paardt M, Festen C, Van Oosterhout M, et al. NHG-Standaard Het PreventieConsult module Cardiometabool Risico. Huisarts Wet. 2011;54:138–55.CrossRef
12.
go back to reference Lawson KD, Fenwick E a L, ACH P, Pell JP. Comparison of mass and targeted screening strategies for cardiovascular risk: simulation of the effectiveness, cost-effectiveness and coverage using a cross-sectional survey of 3921 people. Heart Br Card Soc. 2010;96:208–12.CrossRef Lawson KD, Fenwick E a L, ACH P, Pell JP. Comparison of mass and targeted screening strategies for cardiovascular risk: simulation of the effectiveness, cost-effectiveness and coverage using a cross-sectional survey of 3921 people. Heart Br Card Soc. 2010;96:208–12.CrossRef
13.
14.
go back to reference Kass GV. An exploratory technique for investigating large quantities of categorical data. J R Stat Soc Ser C Appl Stat. 1980;29:119–27. Kass GV. An exploratory technique for investigating large quantities of categorical data. J R Stat Soc Ser C Appl Stat. 1980;29:119–27.
16.
go back to reference Andersen RM. Revisiting the behavioral model and access to medical care: does it matter? J Health Soc Behav. 1995;36:1–10.CrossRefPubMed Andersen RM. Revisiting the behavioral model and access to medical care: does it matter? J Health Soc Behav. 1995;36:1–10.CrossRefPubMed
17.
go back to reference Thygesen LC, Daasnes C, Thaulow I, Brønnum-Hansen H. Introduction to Danish (nationwide) registers on health and social issues: structure, access, legislation, and archiving. Scand J Public Health. 2011;39:12–6.CrossRefPubMed Thygesen LC, Daasnes C, Thaulow I, Brønnum-Hansen H. Introduction to Danish (nationwide) registers on health and social issues: structure, access, legislation, and archiving. Scand J Public Health. 2011;39:12–6.CrossRefPubMed
18.
go back to reference Andersen JS, Olivarius NDF, Krasnik A. The Danish National Health Service Register. Scand J Public Health. 2011;39:34–7.CrossRefPubMed Andersen JS, Olivarius NDF, Krasnik A. The Danish National Health Service Register. Scand J Public Health. 2011;39:34–7.CrossRefPubMed
19.
go back to reference Petersson F, Baadsgaard M, Thygesen LC. Danish registers on personal labour market affiliation. Scand J Public Health. 2011;39:95–8.CrossRefPubMed Petersson F, Baadsgaard M, Thygesen LC. Danish registers on personal labour market affiliation. Scand J Public Health. 2011;39:95–8.CrossRefPubMed
20.
go back to reference Baadsgaard M, Quitzau J. Danish registers on personal income and transfer payments. Scand J Public Health. 2011;39:103–5.CrossRefPubMed Baadsgaard M, Quitzau J. Danish registers on personal income and transfer payments. Scand J Public Health. 2011;39:103–5.CrossRefPubMed
21.
22.
go back to reference Pottegård A, Schmidt SAJ, Wallach-Kildemoes H, Sørensen HT, Hallas J, Schmidt M. Data resource profile: the Danish National Prescription Registry. Int J Epidemiol. 2017;46(3):798-798f. Pottegård A, Schmidt SAJ, Wallach-Kildemoes H, Sørensen HT, Hallas J, Schmidt M. Data resource profile: the Danish National Prescription Registry. Int J Epidemiol. 2017;46(3):798-798f.
25.
go back to reference Jørgensen JT, Andersen JS, Tjønneland A, Andersen ZJ. Determinants of frequent attendance in Danish general practice: a cohort-based cross-sectional study. BMC Fam Pract. 2016;17:9.CrossRefPubMedPubMedCentral Jørgensen JT, Andersen JS, Tjønneland A, Andersen ZJ. Determinants of frequent attendance in Danish general practice: a cohort-based cross-sectional study. BMC Fam Pract. 2016;17:9.CrossRefPubMedPubMedCentral
26.
go back to reference Vedsted P, Christensen MB. Frequent attenders in general practice care: a literature review with special reference to methodological considerations. Public Health. 2005;119:118–37.CrossRefPubMed Vedsted P, Christensen MB. Frequent attenders in general practice care: a literature review with special reference to methodological considerations. Public Health. 2005;119:118–37.CrossRefPubMed
27.
go back to reference Bender AM, Kawachi I, Jørgensen T, Pisinger C. Neighborhood deprivation is strongly associated with participation in a population-based health check. PLoS One. 2015;10:e0129819.CrossRefPubMedPubMedCentral Bender AM, Kawachi I, Jørgensen T, Pisinger C. Neighborhood deprivation is strongly associated with participation in a population-based health check. PLoS One. 2015;10:e0129819.CrossRefPubMedPubMedCentral
28.
go back to reference Groenenberg I, Crone MR, van Dijk S, Ben Meftah J, Middelkoop BJC, Assendelft WJJ, et al. Response and participation of underserved populations after a three-step invitation strategy for a cardiometabolic health check. BMC Public Health. 2015;15:854.CrossRefPubMedPubMedCentral Groenenberg I, Crone MR, van Dijk S, Ben Meftah J, Middelkoop BJC, Assendelft WJJ, et al. Response and participation of underserved populations after a three-step invitation strategy for a cardiometabolic health check. BMC Public Health. 2015;15:854.CrossRefPubMedPubMedCentral
29.
go back to reference Bjerregaard A-L, Maindal HT, Bruun NH, Sandbæk A. Patterns of attendance to health checks in a municipality setting: the Danish ‘Check Your Health Preventive Program’. Prev Med Rep. 2017;5:175–82.CrossRefPubMed Bjerregaard A-L, Maindal HT, Bruun NH, Sandbæk A. Patterns of attendance to health checks in a municipality setting: the Danish ‘Check Your Health Preventive Program’. Prev Med Rep. 2017;5:175–82.CrossRefPubMed
30.
go back to reference Yancey AK, Ortega AN, Kumanyika SK. Effective recruitment and retention of minority research participants. Annu Rev Public Health. 2006;27:1–28.CrossRefPubMed Yancey AK, Ortega AN, Kumanyika SK. Effective recruitment and retention of minority research participants. Annu Rev Public Health. 2006;27:1–28.CrossRefPubMed
31.
go back to reference Ahlmark N, Algren MH, Holmberg T, Norredam ML, Nielsen SS, Blom AB, et al. Survey nonresponse among ethnic minorities in a national health survey – a mixed-method study of participation, barriers, and potentials. Ethn Health. 2015;20:611–32.CrossRefPubMed Ahlmark N, Algren MH, Holmberg T, Norredam ML, Nielsen SS, Blom AB, et al. Survey nonresponse among ethnic minorities in a national health survey – a mixed-method study of participation, barriers, and potentials. Ethn Health. 2015;20:611–32.CrossRefPubMed
32.
go back to reference Harkins C, Shaw R, Gillies M, Sloan H, Macintyre K, Scoular A, et al. Overcoming barriers to engaging socio-economically disadvantaged populations in CHD primary prevention: a qualitative study. BMC Public Health. 2010;10:391.CrossRefPubMedPubMedCentral Harkins C, Shaw R, Gillies M, Sloan H, Macintyre K, Scoular A, et al. Overcoming barriers to engaging socio-economically disadvantaged populations in CHD primary prevention: a qualitative study. BMC Public Health. 2010;10:391.CrossRefPubMedPubMedCentral
33.
go back to reference Groenenberg I, Crone MR, van Dijk S, Ben Meftah J, Middelkoop BJC, Assendelft WJJ, et al. Determinants of participation in a cardiometabolic health check among underserved groups. Prev Med Rep. 2016;4:33–43.CrossRefPubMedPubMedCentral Groenenberg I, Crone MR, van Dijk S, Ben Meftah J, Middelkoop BJC, Assendelft WJJ, et al. Determinants of participation in a cardiometabolic health check among underserved groups. Prev Med Rep. 2016;4:33–43.CrossRefPubMedPubMedCentral
34.
go back to reference Tiessen AH, Smit AJ, Zevenhuizen S, Spithoven EM, der Meer KV. Cardiovascular screening in general practice in a low SES area. BMC Fam Pract. 2012;13:117.CrossRefPubMedPubMedCentral Tiessen AH, Smit AJ, Zevenhuizen S, Spithoven EM, der Meer KV. Cardiovascular screening in general practice in a low SES area. BMC Fam Pract. 2012;13:117.CrossRefPubMedPubMedCentral
35.
go back to reference Gruber JS, Arnold BF, Reygadas F, Hubbard AE, Colford JM. Estimation of treatment efficacy with Complier Average Causal Effects (CACE) in a randomized stepped wedge trial. Am J Epidemiol. 2014;179:1134–42.CrossRefPubMed Gruber JS, Arnold BF, Reygadas F, Hubbard AE, Colford JM. Estimation of treatment efficacy with Complier Average Causal Effects (CACE) in a randomized stepped wedge trial. Am J Epidemiol. 2014;179:1134–42.CrossRefPubMed
36.
go back to reference Fenger-Grøn M, Sig Ager Jensen M, Gram Junge A, Thomsen JL. Evaluering af ydelsen for aftalt forebyggelseskonsultation (0106ydelsen) i almen praksis - De praktiserende lægers og patienters brug af samt oplevelser og erfaringer med den aftalte forebyggelseskonsultation. Århus: Afdelingen for Almen Medicin, Institut for Folkesundhed, Aarhus Universitet; 2008. Fenger-Grøn M, Sig Ager Jensen M, Gram Junge A, Thomsen JL. Evaluering af ydelsen for aftalt forebyggelseskonsultation (0106ydelsen) i almen praksis - De praktiserende lægers og patienters brug af samt oplevelser og erfaringer med den aftalte forebyggelseskonsultation. Århus: Afdelingen for Almen Medicin, Institut for Folkesundhed, Aarhus Universitet; 2008.
Metadata
Title
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
Authors
Lars Bruun Larsen
Annelli Sandbaek
Janus Laust Thomsen
Anne-Louise Bjerregaard
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-5506-6

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