Profile and motives of non-users from a family health unit in Porto

Authors

  • Tiago Costa-Freitas Médico Especialista em Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal. https://orcid.org/0000-0003-0044-6435 (unauthenticated)
  • Madalena Braga Médico Especialista em Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal.
  • Leonor Silva Médico Interno de Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal.
  • Nuno Pereira Médico Interno de Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal.
  • Pedro Tavares Médico Especialista em Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal.
  • Felicidade Malheiro Médico Especialista em Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal.
  • Gustavo Fernandes Médico Especialista em Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal.
  • Miguel Magalhães Médico Especialista em Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal.
  • Miguel Azevedo Médico Especialista em Medicina Geral e Familiar. USF Arca D'Água, ULS São João. Porto, Portugal.

DOI:

https://doi.org/10.32385/rpmgf.v41i2.13839

Keywords:

No-show patients, Primary health care

Abstract

Introduction: The non-use of primary health care is problematic, especially due to the lack of surveillance of the low user. Reduced frequency of consultations with family doctors prevents screening, early detection/prevention of pathologies, and adequate control of chronic diseases.

Objectives: This study aims to characterize the sociodemographic and clinical profile and the reasons why the population does not use family medicine consultations.

Methods: All users aged 18 or older who had not used the consultation in the last three years were selected. First, data collection was collected via telephone questionnaire to outline the sociodemographic and clinical profile. Subsequently, via email, a second questionnaire was administered regarding the reasons.

Results: Of the 1,182 individuals, 413 were studied regarding their sociodemographic and clinical profile. Low users had an average age of 47. The majority were male (60.8%), had higher education (59.8%), were actively employed (71.2%), and healthy (62.7%). Their most prevalent pathology was hypertension (10.4%). Individuals with chronic disease were older (p<0.001 and p=0.004, respectively). It was found that a greater proportion of women had diabetes (p=0.009), dyslipidemia (p=0.048), and generalized anxiety disorder (p=0.016). Only 119 responded to the second questionnaire. 74% reported feeling healthy, 49% reported follow-up care in another specialty in the public/private sector, and 28% reported an insufficient relationship with their family doctor.

Conclusion: The typical non-user is male, in his fifth decade of life, with a higher education, professionally active, and healthy. The low use of medical consultations may be due to a lower notion of personal risk of illness or a greater notion of health literacy among these users, or to a greater opportunity/access to consultations in the private sector. There was a need to invest in measures to increase the adherence of these users, such as communication training for the medical team.

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References

1. Gomes J, Machado A, Cavadas LF, Teixeira H, Pires P, Santos JA, et al. Perfil do hiperfrequentador nos cuidados de saúde primários [The primary care frequent attender profile]. Acta Med Port. 2013;26(1):17-23. Portuguese

2. Fogelman Y, Tabenkin H, Weiss R, Tamir A. Characteristics of registered clinic patients who have not visited their family physician for 3 years. Fam Pract. 1993;10(1):46-8.

3. Thomas KJ, Nicholl JP, Fall M, Lowy A, Williams BT. Case against targeting long term non-attenders in general practice for a health check. Br J Gen Pract. 1993;43(372):285-9.

4. Dantas LF, Fleck JL, Oliveira FL, Hamacher S. No-shows in appointment scheduling: a systematic literature review. Health Policy. 2018;122(4):412-21.

5. Serviços Partilhados do Ministério da Saúde. Bilhete de identidade de indicadores de monitorização e contratualização [homepage]. Lisboa: SPMS; 2022 [updated 2024 Jun; cited 2022 Feb 24]. Available from: https://sdm.min-saude.pt/bi.aspx?id=006&clusters=S

6. Khanassov V, Vedel I, Bergman H. Are non-attenders a concern for primary care practice? Isr J Health Policy Res. 2013;2(1):13.

7. Eshel N, Raz R, Chodick G, Shalev V, Guindy M. Characteristics of the elderly who do not visit primary care physicians. Isr J Health Policy Res. 2013;2(1):46.

8. Ebrahim S, Hedley R, Sheldon M. Low levels of ill health among elderly non-consulters in general practice. Br Med J (Clin Res Ed). 1984;289(6454):1273-5.

9. Williams ES, Barley NH. Old people not known to the general practitioner: low risk group. Br Med J (Clin Res Ed). 1985;291(6490):251-4.

10. 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.

11. Villerusa A, Behmane D, Berkis U, Kokarevica A, Cauce V. Characteristics of primary care non-users in Latvia. Eur J Public Health. 2018;28(Suppl 4):cky213.324.

12. Wolff DL, Waldorff FB, von Plessen C, Mogensen CB, Sørensen TL, Houlind KC, et al. Rate and predictors for non-attendance of patients undergoing hospital outpatient treatment for chronic diseases: a register-based cohort study. BMC Health Serv Res. 2019;19(1):386.

13. Morris JK, Cook DG, Walker M, Shaper AG. Non-consulters and high consulters in general practice: cardio-respiratory health and risk factors. J Public Health Med. 1992;14(2):131-7.

14. Suominen-Taipale AL, Koskinen S, Martelin T, Holmen J, Johnsen R. Differences in older adults’ use of primary and specialist care services in two Nordic countries. Eur J Public Health. 2004;14(4):375-80.

15. Martin C, Perfect T, Mantle G. Non-attendance in primary care: the views of patients and practices on its causes, impact and solutions. Fam Pract. 2005;22(6):638-43.

16. Hwang AS, Atlas SJ, Cronin P, Ashburner JM, Shah SJ, He W, et al. Appointment ‘no-shows’ are an independent predictor of subsequent quality of care and resource utilization outcomes. J Gen Intern Med. 2015;30(10):1426-33.

17. Karter AJ, Parker MM, Moffet HH, Ahmed AT, Ferrara A, Liu JY, et al. Missed appointments and poor glycemic control: an opportunity to identify high-risk diabetic patients. Med Care. 2004;42(2):110-5.

18. Kheirkhah P, Feng Q, Travis LM, Tavakoli-Tabasi S, Sharafkhaneh A. Prevalence, predictors and economic consequences of no-shows. BMC Health Serv Res. 2016;16:13.

19. Moore CG, Wilson-Witherspoon P, Probst JC. Time and money: effects of no-shows at a family practice residency clinic. Fam Med. 2001;33(7):522-7.

Published

2025-05-15

How to Cite

Profile and motives of non-users from a family health unit in Porto. (2025). Portuguese Journal of Family Medicine and General Practice, 41(2), 136-45. https://doi.org/10.32385/rpmgf.v41i2.13839

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