Do men avoid seeking medical advice? A register-based analysis of gender-specific changes in primary healthcare use after first hospitalisation at ages 60+ in Denmark
Open accessAbstract
Background: It remains unclear whether women’s greater primary healthcare use reflects a lower treatment-seeking threshold or a health disadvantage. We address this question by studying primary healthcare use surrounding a major health shock. Methods: This cohort study utilises routinely-collected healthcare data covering the Danish population aged 60+ years between 1996 and 2011. Using a hurdle model, we investigate levels of non-use and levels of primary healthcare use before and after first inpatient hospitalisation for stroke, myocardial infarction (MI), chronic obstructive pulmonary disease (COPD) and gastrointestinal cancers (GIC). Results: Before hospitalisation, irrespective of cause, men were more likely than women to be non-users of primary healthcare (OR (95% CI): stroke 1.802 (1.731 to 1.872); MI 1.841 (1.760 to 1.922); COPD 2.160 (2.028 to 2.292); GIC 1.609 (1.525 to 1.693)). Men who were users had fewer primary healthcare contacts than women (proportional change (e β) (95% CI): stroke 0.821 (0.806 to 0.836); MI 0.796 (0.778 to 0.814); COPD 0.855 (0.832 to 0.878); GIC 0.859 (0.838 to 0.881)). Following hospitalisation, changes in the probability of being a non-user (OR (95% CI): stroke 0.965 (0.879 to 1.052); MI 0.894 (0.789 to 0.999); COPD 0.755 (0.609 to 0.900); GIC 0.895 (0.801 to 0.988)) and levels of primary healthcare use (e β (95% CI): stroke 1.113 (1.102 to 1.124); MI 1.112 (1.099 to 1.124); COPD 1.078 (1.063 to 1.093); GIC 1.097 (1.079 to 1.114)) were more pronounced among men. Gender differences widened after accounting for survival following hospitalisation. Conclusion: Women’s consistently higher levels of primary healthcare use are likely to be explained by a combination of a lower treatment-seeking threshold and a health disadvantage resulting from better survival in bad health.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Male people with dementia may struggle to express their needs effectively due to culturally expected gender roles and may also experience different social expectations or support dynamics that result in more unmet needs.
“Additionally, male PWD may struggle to express their needs effectively due to culturally expected gender roles and may also experience different social expectations or support dynamics that result in more unmet needs. e.g., in primary care, men usually seek less medical advice than women [27, 28].”
From Unmet Needs in Dementia Care: The Predictive Role of Caregiver Challenges (2025) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Constructions of masculinity and their influence on men's well-being: a theory of gender and health
Courtenay, W. H. (2000) · Social Science & Medicine · doi:10.1016/s0277-9536(99)00390-1 · Cited by 4,091 · see citing works
O’Brien, R., Hunt, K., & Hart, G. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2004.12.008 · Cited by 797 · see citing works
Flagged first, then by citations
Research works printed but not linked: 36
- [1]Wang HD, Naghavi M, Allen C, et al. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1459– 544 10.1016/S0140-6736(16)31012-1. 27733281 PMC5388903 · DOI · Paper page
- [2]Hohn A, Larsen LA, Schneider DC, et al. Sex differences in the 1-year risk of dying following all-cause and cause-specific hospital admission after age 50 in comparison with a general and non-hospitalised population: a register-based cohort study of the Danish population. BMJ Open 2018; 8: e021813– e 10.1136/bmjopen-2018-021813. PMC6059308 30018099 · DOI
- [3]Oksuzyan A, Juel K, Vaupel JW, et al. Men: good health and high mortality. Sex differences in health and aging. Aging Clin Exp Res 2008; 20: 91– 102 10.1007/bf03324754. 18431075 PMC3629373 · DOI
- [4]Banks I, Baker P Men and primary care: improving access and outcomes. Trends Urol Men’s Health 2013; 4: 39– 41 10.1002/tre.v4.5. · DOI
- [5]Juel K, Christensen K Are men seeking medical advice too late? Contacts to general practitioners and hospital admissions in Denmark 2005. J Public Health 2008; 30: 111– 13 10.1093/pubmed/fdm072. 17981887 · DOI
- [6]Starfield B, Shi L, Macinko J Contribution of primary care to health systems and health. Milbank Q 2005; 83: 457– 502 10.1111/j.1468-0009.2005.00409.x. 16202000 PMC2690145 · DOI · Paper page
- [7]Llanwarne N, Newbould J, Burt J, et al. Wasting the doctor’s time? A video-elicitation interview study with patients in primary care. Soc Sci Med 2017; 176: 113– 22 10.1016/j.socscimed.2017.01.025. 28135690 PMC5322822 · DOI
- [8]Koefoed MM, Sondergaard J, Christensen R, et al. Influence of socioeconomic and demographic status on spirometry testing in patients initiating medication targeting obstructive lung disease: a population-based cohort study. BMC Public Health 2013; 13: 580 10.1186/1471-2458-13-580. 23768408 PMC3729528 · DOI
- [9]Gallagher R, Marshall AP, Fisher MJ Symptoms and treatment-seeking responses in women experiencing acute coronary syndrome for the first time. Heart Lung 2010; 39: 477– 84 10.1016/j.hrtlng.2009.10.019. 20561851 · DOI
- [10]MacLean A, Sweeting H, Hunt K ‘Rules’ for boys,‘guidelines’ for girls: gender differences in symptom reporting during childhood and adolescence. Soc Sci Med 2010; 70: 597– 604 10.1016/j.socscimed.2009.10.042. 19931962 · DOI
- [11]Wang Y, Hunt K, Nazareth I, et al. Do men consult less than women? An analysis of routinely collected UK general practice data. BMJ Open 2013; 3: e003320– e. PMC3753483 23959757
- [12]Hunt K, Adamson J, Hewitt C, et al. Do women consult more than men? A review of gender and consultation for back pain and headache. J Health Serv Res Policy 2011; 16: 108– 17 10.1258/jhsrp.2010.009131. 20819913 PMC3104816 · DOI
- [13]Wang YY, Freemantle N, Nazareth I, et al. Gender differences in survival and the use of primary care prior to diagnosis of three cancers: an analysis of routinely collected UK general practice data. PLoS One 2014; 9: e101562– e. 25014510 PMC4094390
- [14]Vos HMM, Schellevis FG, van den Berkmortel H, et al. Does prevention of risk behaviour in primary care require a gender-specific approach? A cross-sectional study. Fam Pract 2012; 30: 179– 84 10.1093/fampra/cms064. 23027999 · DOI
- [15]Jatrana S, Crampton P Gender differences in general practice utilisation in New Zealand. Primary Healthcare 2009; 1: 261– 9. 20690334
- [16]Lyratzopoulos G, Neal RD, Barbiere JM, et al. Variation in number of general practitioner consultations before hospital referral for cancer: findings from the 2010 National Cancer Patient Experience Survey in England. Lancet Oncol 2012; 13: 353– 65 10.1016/S1470-2045(12)70041-4. 22365494 · DOI · Paper page
- [17]Fridgen GJ, Aston J, Gschwandtner U, et al. Help-seeking and pathways to care in the early stages of psychosis. Soc Psychiatry Psychiatr Epidemiol 2013; 48: 1033– 43 10.1007/s00127-012-0628-0. 23266662 · DOI
- [18]Chang CM, Liao SC, Chiang HC, et al. Gender differences in healthcare service utilisation 1 year before suicide: national record linkage study. Br J Psychiat 2009; 195: 459– 60 10.1192/bjp.bp.108.053728. 19880939 · DOI
- [19]Case A, Paxson C Sex differences in morbidity and mortality. Demography 2005; 42: 189– 214 10.1353/dem.2005.0011. 15986983 · DOI
- [20]Schmidt M, Pedersen L, Sorensen HT The Danish civil registration system as a tool in epidemiology. Eur J Epidemiol 2014; 29: 541– 9 10.1007/s10654-014-9930-3. 24965263 · DOI
- [21]Lynge E, Sandegaard JL, Rebolj M The Danish national patient register. Scand J Public Health 2011; 39: 30– 3 10.1177/1403494811401482. 21775347 · DOI · Paper page
- [22]Sahl Andersen J, De Fine Olivarius N, Krasnik A The Danish national health service register. Scand J Public Health 2011; 39: 34– 7. 10.1177/1403494810394718 21775348 · DOI
- [23]Modig K, Talbäck M, Ziegler L, et al Temporal trends in incidence, recurrence and prevalence of stroke in an era of ageing populations, a longitudinal study of the total Swedish population. BMC Geriatrics. 2019;19:31. PMC6360781 30717697
- [24]Karampampa K, Drefahl S, Andersson T, et al. Trends in age at first hospital admission in relation to trends in life expectancy in Swedish men and women above the age of 60. BMJ Open 2013; 3: 439– 54 10.1136/bmjopen-2013-003447. PMC3787478 24065698 · DOI
- [25]Modig K, Berglund A, Talbäck M, et al. Estimating incidence and prevalence from population registers: example from myocardial infarction. Scand J Public Health 2017; 45: 5– 13 10.1177/1403494817702327. 28683658 · DOI
- [28]Werblow A, Felder S, Zweifel P Population ageing and healthcare expenditure: a school of ‘red herrings’? Health Econ 2007; 16: 1109– 26 10.1002/hec.1213. 17311357 · DOI
- [29]Min YY, Agresti A Random effect models for repeated measures of zero-inflated count data. Stat Model 2005; 5: 1– 19 10.1191/1471082X05st084oa. · DOI
- [30]Brooks ME, Kristensen K, van Benthem KJ, et al. Modeling zero-inflated count data with glmmTMB. bioRxiv, 1-14. Preprint. 2017; 132753.
- [31]Robertson S ‘Not living life in too much of an excess’: lay men understanding health and well-being. Health 2006; 10: 175– 89 10.1177/1363459306061787. 16513659 · DOI
- [33]Smith LK, Pope C, Botha JL Patients’ help-seeking experiences and delay in cancer presentation: a qualitative synthesis. Lancet 2005; 366: 825– 31 10.1016/S0140-6736(05)67030-4. 16139657 · DOI
- [35]Galdas PM, Johnson JL, Percy ME, et al. Help seeking for cardiac symptoms: beyond the masculine-feminine binary. Soc Sci Med 2010; 71: 18– 24 10.1016/j.socscimed.2010.03.006. 20398989 PMC5142841 · DOI
- [36]MacLean A, Hunt K, Smith S, et al. Does gender matter? An analysis of men’s and women’s accounts of responding to symptoms of lung cancer. Soc Sci Med 2017; 191: 134– 42 10.1016/j.socscimed.2017.09.015. 28917622 PMC5630200 · DOI
- [37]Annandale E, Harvey J, Cavers D, et al. Gender and access to healthcare in the UK: a critical interpretive synthesis of the literature. Evid Policy 2007; 3: 463– 86 10.1332/174426407782516538. · DOI
- [38]Hamann HA, Ostroff JS, Marks EG, et al. Stigma among patients with lung cancer: a patient-reported measurement model. Psycho-Oncology 2014; 23: 81– 92 10.1002/pon.3371. 24123664 PMC3936675 · DOI
- [39]Chambers SK, Dunn J, Occhipinti S, et al. A systematic review of the impact of stigma and nihilism on lung cancer outcomes. BMC Cancer 2012; 12: 184 10.1186/1471-2407-12-184. 22607085 PMC3517321 · DOI · Paper page
- [40]Scambler G Health-related stigma. Sociol Health Illn 2009; 31: 441– 55 10.1111/j.1467-9566.2009.01161.x. 19366430 · DOI
Cited by
Sorted by citations
Unmet Needs in Dementia Care: The Predictive Role of Caregiver Challenges
Bertola, L., da Mata, F., Ramos, A. A., Godoy, C., de Faria, F. M., Lucchetta, R., de Oliveira Junior, H. A., & Ferri, C. P. (2025) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.70164 · Cited by 2 · see citing works
“Additionally, male PWD may struggle to express their needs effectively due to culturally expected gender roles and may also experience different social expectations or support dynamics that result in more unmet needs. e.g., in primary care, men usually seek less medical advice than women [27, 28].”
- Authors
- Höhn, A., Gampe, J., Lindahl-Jacobsen, R., Christensen, K., & Oksuyzan, A.
- Affiliations
- University of Southern Denmark (DK)
- Max Planck Institute for Demographic Research (DE)
- Department of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark, Odense C, Denmark
- Max Planck Institute for Demographic Research, Rostock, Germany
- Corresponding author
- Höhn, Andreas
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 2020-04-17
- Volume
- 74
- Issue
- 7
- Pages
- 573-579
- ISSN
- 0141-7681 (ISSN-L)
- 0143-005X
- 1470-2738
- PMC
- PMC7337231
- OpenAlex
- W3016945764
- Cited by
- 119
- References
- 2
- Citations by year
- 2026: 32 · 2025: 37 · 2024: 28 · 2023: 9 · 2022: 6 · 2021: 7
- FWCI
- 4.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Epidemiology & Community Health (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, cc-by-nc)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
- HighWire Press Open Archive (submittedVersion)
- PUB – Publications at Bielefeld University (Bielefeld University) (submittedVersion, cc-by-nc)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc)
- St Andrews Research Repository (St Andrews Research Repository) (submittedVersion, cc-by-nc)
- Funders
- Velux Stiftung
- Max-Planck-Gesellschaft
- National Institute on Aging (P01AG031719, R01AG026786)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Health Sciences › Health Professions › General Health Professions › Primary Care and Health Outcomes
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- gender differences, treatment-seeking behavior, hospitalization, stroke, myocardial infarction, chronic obstructive pulmonary disease, gastrointestinal cancer, older adults, sex differences
- MeSH terms
- Aged, Aged, 80 and over, Attitude to Health, Female, Gastrointestinal Neoplasms, Health Services, Hospitalization, Humans, Male, Middle Aged, Myocardial Infarction, Primary Health Care, Sex Factors, Sex Distribution, Stroke, Pulmonary Disease, Chronic Obstructive
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review