Differentiating middle-aged long-term and short-term frequent attenders by means of the Northern Finland Birth Cohort 1966 Study.

healthcare utilisation long-term frequent attender middle-aged population-based cohort

Journal

Scandinavian journal of caring sciences
ISSN: 1471-6712
Titre abrégé: Scand J Caring Sci
Pays: Sweden
ID NLM: 8804206

Informations de publication

Date de publication:
Sep 2021
Historique:
revised: 17 06 2020
received: 22 02 2020
accepted: 06 07 2020
pubmed: 3 8 2020
medline: 16 10 2021
entrez: 3 8 2020
Statut: ppublish

Résumé

Frequent attendance is largely a temporary phenomenon, but only few previous studies have made a distinction between long-term frequent attenders (FAs) and short-term FAs. The aim of this study is to compare the characteristics of middle-aged long-term FAs and short-term FAs. Data from a large Northern Finland Birth Cohort 1966 study's (NFBC1966) 46-year follow-up study (performed in 2012, N = 10 321) were used. The participants (n = 4390) had used public primary healthcare (PPHC) services at least once during 2013-2016 according to Finnish national register data on outpatient visits. A FA was considered a patient who had used PPHC services ≥8 times during 1 year. A long-term FA: a patient who was a FA in at least 3 years during 2013-2016. A short-term FA: a patient who was a FA in 1 or 2 years in 2013-2016. Cross-tabulation, Pearson's chi-squared test, Mann-Whitney U test, and univariate and multivariate binary logistic regression analyses were used. Of the 4390 participants, 132 (3.0%) were long-term FAs, 645 (14.7%) were short-term FAs, and 3613 (82.3%) were non-FAs. During 2013-2016, long-term FAs accounted for 34.8% of PPHC visits, while short-term FAs accounted 15.4%. Compared to short-term FAs, depression and high income (preventive attribute) were associated with long-term FAs. Female gender and managing usual activities were associated with short-term FAs. Poor self-reported health was associated with both long-term FAs and short-term FAs but increased the risk of being a long-term FA over three times compared to short-term FAs. Middle-aged long-term FAs and short-term FAs have distinct characteristics; namely, depression and high income differentiate long-term FAs from short-term FAs. Poor self-reported health was associated with long-term FAs in particular. In order to identify FAs with prolonged service needs and to develop far-reaching interventions, the focus of research should be on long-term FAs.

Sections du résumé

BACKGROUND BACKGROUND
Frequent attendance is largely a temporary phenomenon, but only few previous studies have made a distinction between long-term frequent attenders (FAs) and short-term FAs.
AIMS OBJECTIVE
The aim of this study is to compare the characteristics of middle-aged long-term FAs and short-term FAs.
METHODS METHODS
Data from a large Northern Finland Birth Cohort 1966 study's (NFBC1966) 46-year follow-up study (performed in 2012, N = 10 321) were used. The participants (n = 4390) had used public primary healthcare (PPHC) services at least once during 2013-2016 according to Finnish national register data on outpatient visits. A FA was considered a patient who had used PPHC services ≥8 times during 1 year. A long-term FA: a patient who was a FA in at least 3 years during 2013-2016. A short-term FA: a patient who was a FA in 1 or 2 years in 2013-2016. Cross-tabulation, Pearson's chi-squared test, Mann-Whitney U test, and univariate and multivariate binary logistic regression analyses were used.
RESULTS RESULTS
Of the 4390 participants, 132 (3.0%) were long-term FAs, 645 (14.7%) were short-term FAs, and 3613 (82.3%) were non-FAs. During 2013-2016, long-term FAs accounted for 34.8% of PPHC visits, while short-term FAs accounted 15.4%. Compared to short-term FAs, depression and high income (preventive attribute) were associated with long-term FAs. Female gender and managing usual activities were associated with short-term FAs. Poor self-reported health was associated with both long-term FAs and short-term FAs but increased the risk of being a long-term FA over three times compared to short-term FAs.
CONCLUSIONS CONCLUSIONS
Middle-aged long-term FAs and short-term FAs have distinct characteristics; namely, depression and high income differentiate long-term FAs from short-term FAs. Poor self-reported health was associated with long-term FAs in particular. In order to identify FAs with prolonged service needs and to develop far-reaching interventions, the focus of research should be on long-term FAs.

Identifiants

pubmed: 32740948
doi: 10.1111/scs.12896
doi:

Types de publication

Journal Article

Langues

eng

Pagination

813-823

Informations de copyright

© 2020 Nordic College of Caring Science.

Références

Vedsted P, Christensen MB. Frequent attenders in general practice: a literature review with special reference to methodological considerations. Public Health 2005; 119: 118-37.
Wammes JJG, der Wees PJ, Tanke MAC, Westert GP, Jeurissen PPT. Systematic review of high-cost patients´ characteristics and healthcare utilisation. BMJ Open 2018; 8: e023113.
Leskelä R-L, Komssi V, Sandström S, Pikkujämsä S, Haverinen A, Olli S-L, Ylitalo-Katajisto K. Heavy users of social and health care services in the city of Oulu. Finnish Medical Journal 2013; 48: 3163-69.
Kivelä K, Elo S, Kääriäinen M. Frequent attenders in primary health care: a concept analysis. Int J Nurs Stud 2018; 86: 115-24.
Wiklund-Gustin L. Struggling on my own: a cognitive perspective on frequent attenders´ conception of life and their interaction with the healthcare system. Psychiatr J 2013; 2013: 1-9.
LaCalle E, Rabin E. Frequent users of emergency departments: the myths, the data, and the policy implications. Ann Emerg Med 2010; 56: 42-48.
Haroun D, Smits F, van Etten-Jamaludin F, Schene A, van Weert H, ter Riet G. The effects of interventions on quality of life, morbidity and consultation frequency in frequent attenders in primary care: a systematic review. Eur J Gen Pract 2016; 22: 71-82.
Hudon C, Chouinard MC, Pluye P, El Sherif R, Bush PL, Rihoux B, Poitras M-E, Lambert M, Zomahoun HTV, Légaré F. Characteristics of case management in primary care associated with positive outcomes for frequent users of health care: a systematic review. Ann Fam Med 2019; 17: 448-58.
Soril LJJ, Leggett LE, Lorenzetti DL, Noseworthy TW, Clement FM. Reducing frequent visits to the emergency department: a systematic review of interventions. PLoS One 2015; 10: e0123660.
Smits FT, Brouwer HJ, Zwinderman AH, Mohrs J, Schene AH, van Weert HCPM, ter Riet G. Why do they keep coming back? Psychosocial etiology of persistence of frequent attendance in primary care: a prospective cohort study. J Psychosom Res 2014; 77: 492-503.
Rifel J, Svab I, Selič P, Rotar Pavlič D, Nazareth I, Car J. Association of common mental disorders and quality of life with the frequency of attendance in Slovenian family medicine practices: longitudinal study. PLoS One 2013; 8: e54241.
Pymont C, Butterworth P. Longitudinal cohort study describing persistent frequent attenders in Australian primary healthcare. BMJ Open 2015; 5: e008975.
Luutonen S, Santalahti A, Mäkinen M, Vahlberg T, Rautava P. One-session cognitive behavior treatment for long-term frequent attenders in primary care: randomized controlled trial. Scand J Prim Health Care 2019; 37: 98-104.
Malins S, Kai J, Atha C, Avery A, Guo B, James M, Patel S, Sampson C, Stubley M, Morriss R. Cognitive behaviour therapy for long-term frequent attenders in primary care: a feasibility case series and treatment development study. Br J Gen Pract 2016; 66: e729-36.
Kanzaria H, Niedzwiecki M, Montoy J, Raven MC, Hsia RY. Persistent frequent emergency department use: core group exhibits extreme levels of use for more than a decade. Health Aff (Mildwood) 2017; 36: 1720-8.
Koskela T-H, Ryynänen O-P, Soini EJ. Factors for persistent frequent use of the primary health care services among frequent attenders: a Bayesian approach. Scand J Prim Health Care 2010; 28: 55-61.
Springer AM, Condon JR, Li SQ, Guthridge SL. Frequent use of hospital inpatient services during a nine year period: a retrospective cohort study. BMC Health Serv Res 2017; 12: 348.
Reho T, Atkins S, Talola N, Sumanen M, Viljamaa M, Uitti J. Comparing occasional and persistent frequent attenders in occupational health primary care - a longitudinal study. BMC Public Health 2018; 18: 1291.
Hwang W, LaClair M, Camacho F, Paz H. Persistent high utilization in a privately insured population. Am J Manag Care 2015; 21: 309-16.
Billings J, Raven M. Dispelling an urban legend: frequent emergency department users have substantial burden of disease. Health Aff (Milwood) 2013; 32: 2099-108.
European Commission. Research finding - social situation monitor - risk of poverty on basis of different thresholds, 2018. https://ec.europa.eu/social/home.jsp?langId=en (last accessed 6 June 2018).
Diaz E, Gimeno-Feliu L-A, Calderón-Larranaga A, Prados-Torres A. Frequent attenders in general practice and immigrant status in Norway: a nationwide cross-sectional study. Scand J Prim Health Care 2014; 32: 232-40.
Sintonen H. The 15D instrument of health-related quality of life: properties and applications. Ann Med 2001; 33: 328-36.
Sintonen H15D: The health-related quality of life (HRQoL) instrument, 2019. http://www.15d-instrument.net/15d/ (last accessed 6 June 2019).
Finnish Advisory Board on Research Integrity. Responsible conduct of research and procedures for handling allegations of misconduct in Finland, 2012, https://www.tenk.fi/sites/tenk.fi/files/HTK_ohje_2012.pdf (last accessed 25 May 2019).
World Medical Association. Declaration of Helsinki - ethical principles for medical research involving human subjects, 2013, https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/ (last accessed 25 May 2019).
Margo-Dermer E, Dépelteau A, Girard A, Hudon C. Psychosocial distress of frequent users of primary health care and emergency department: a scoping review. Public Health 2019; 172: 1-7.
Capp R, Kelley L, Ellis P, Carmona J, Lofton A, Cobbs-Lomax D, D´Onofrio G. Reasons for frequent emergency department use my Medicaid enrollees: a qualitative study. Acad Emerg Med 2016; 23: 476-81.
Burns TR. Contributing factors of frequent use of the emergency department: a synthesis. Int Emerg Nurs 2017; 35: 51-55.
Goldberg D, Bridges K, Duncan-Jones P, Grayson D. Detecting anxiety and depression in general medical settings. BMJ 1988; 297: 897-9.
Melkas T. Health in all policies as a priority in Finnish health policy: a case study on national health policy development. Scand J Public Health 2013; 41: 3-28.
Ylitalo-Katajisto K, Tiirinki H, Jokelainen J, Suhonen M. Individualised integration of social and health services for frequent attenders. J Integr Care 2019; 27: 316-27.
Mercer T, Bae J, Kipnes J, Velazquez M, Thomas S, Settji N. The highest utilizers of care: individualized care plans to coordinate care, improve service utilization, and reduce costs at an academic tertiary care center. J Hosp Med 2015; 10: 419-24.
Kumar G, Klein R. Effectiveness of case management strategies in reducing emergency department visits in frequent user patient populations: a systematic review. J Emerg Med 2013; 44: 717-29.
Johnson TL, Rinehart DJ, Durfee J, Brewer D, Batal H, Blum J, Oronce CI, Melinkovich P, Gabow P. For many patients who use large amounts of health care services, the need is intense yet temporary. Health Aff (Millwood) 2015; 34: 1312-9.

Auteurs

Moona Huhtakangas (M)

Department of Nursing Science and Health Management, Faculty of Medicine, University of Oulu, Oulu, Finland.

Helvi Kyngäs (H)

Department of Nursing Science and Health Management, Faculty of Medicine, Medical Research Centre, University Hospital of Oulu, University of Oulu, Oulu, Finland.

Risto Bloigu (R)

Medical Informatics and Statistics Research Group, University of Oulu, Oulu, Finland.

Outi Kanste (O)

Department of Nursing Science and Health Management, Faculty of Medicine, University of Oulu, Oulu, Finland.

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