Literature DB >> 20132693

Frequent attendance in primary care: comparison and implications of different definitions.

Juan V Luciano1, Ana Fernández, Alejandra Pinto-Meza, Leila Luján, Juan A Bellón, Javier García-Campayo, María T Peñarrubia, Rita Fernández, Marta Sanavia, María E Blanco, Josep M Haro, Diego J Palao, Antoni Serrano-Blanco.   

Abstract

BACKGROUND: The diversity of definitions of frequent attendance in the literature hampers comparison of their precision, validity, and associated factors. AIM: To examine different definitions of frequent attendance in order to identify the sociodemographic and clinical factors associated with frequent attendance in primary care, according to each definition. DESIGN OF STUDY: One-phase cross-sectional study.
SETTING: Seventy-seven primary care centres in Catalonia, Spain.
METHOD: A total of 3815 primary care patients were interviewed between October 2005 and March 2006. Three definitions of frequent attendance were tested: (1) frequent attenders as the top 25% and the top 10% consulting patients; (2) frequent attenders as the top 25% and the top 10% consulting patients stratified by age and sex; and (3) frequent attenders as the top 25% and the top 10% consulting patients stratified by the presence of physical/mental conditions (patients with only mental disorders, with only chronic physical conditions, with comorbid conditions, and with no condition). Multilevel logistic regressions were used.
RESULTS: The following factors were systematically related to frequent attender status: being on sick leave, being born outside of Spain, reporting mental health problems as the main reason for consulting, and having arthritis/rheumatism, or bronchitis. Major depression was related to frequent attendance in two of the three definitions. The factor 'GP' was related to frequent attendance when the top decile cut-off point was used. The models with a 10% cut-off point were more discriminative than those with a 25% cut-off point: the area under the receiver operating characteristic curve for models with a 25% cut-off and a 10% cut-off ranged between 0.71 (95% confidence interval [CI] = 0.70 to 0.73) and 0.75 (95% CI = 0.74 to 0.77) and between 0.79 (95% CI = 0.78 to 0.81) and 0.85 (95% CI = 0.83 to 0.86), respectively.
CONCLUSION: The way frequent attendance is defined is of crucial importance. It is recommended that a more discriminative definition of frequent attendance is used (the top 10%).

Entities:  

Mesh:

Year:  2010        PMID: 20132693      PMCID: PMC2814289          DOI: 10.3399/bjgp10X483139

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  26 in total

Review 1.  Frequent attenders in general practice care: a literature review with special reference to methodological considerations.

Authors:  P Vedsted; M B Christensen
Journal:  Public Health       Date:  2005-02       Impact factor: 2.427

2.  The influence of complaint symptoms on health care utilisation, medicine use, and sickness absence. A comparison between retrospective and prospective utilisation.

Authors:  Ahmad Al-Windi
Journal:  J Psychosom Res       Date:  2005-09       Impact factor: 3.006

Review 3.  Self-reported utilization of health care services: improving measurement and accuracy.

Authors:  Aman Bhandari; Todd Wagner
Journal:  Med Care Res Rev       Date:  2006-04       Impact factor: 3.929

4.  Frequency of patients' consulting in general practice and workload generated by frequent attenders: comparisons between practices.

Authors:  R D Neal; P L Heywood; S Morley; A D Clayden; A C Dowell
Journal:  Br J Gen Pract       Date:  1998-01       Impact factor: 5.386

5.  Health beliefs and depression in a group of elderly high utilizers of medical services.

Authors:  Carolyn M Levinson; Benjamin G Druss
Journal:  Gen Hosp Psychiatry       Date:  2005 Mar-Apr       Impact factor: 3.238

6.  Is frequent attendance in primary care disease-specific?

Authors:  Alison Foster; Kelvin Jordan; Peter Croft
Journal:  Fam Pract       Date:  2006-05-04       Impact factor: 2.267

Review 7.  Stigma and mental health professionals: a review of the evidence on an intricate relationship.

Authors:  Beate Schulze
Journal:  Int Rev Psychiatry       Date:  2007-04

8.  Depression and frequent attendance in elderly primary care patients.

Authors:  Marco Menchetti; Nadia Cevenini; Diana De Ronchi; Roberto Quartesan; Domenico Berardi
Journal:  Gen Hosp Psychiatry       Date:  2006 Mar-Apr       Impact factor: 3.238

9.  The influence of sociodemographic characteristics on health care utilisation in a Swedish municipality.

Authors:  Al-Windi Ahmad; Elmfeldt Dag; Svärdsudd Kurt
Journal:  Ups J Med Sci       Date:  2004       Impact factor: 2.384

10.  Psychosocial assessment of the high utilizer of occupational health services.

Authors:  S J Roberts
Journal:  AAOHN J       Date:  1990-02
View more
  24 in total

1.  More randomised controlled trials on frequent attendance.

Authors:  Juan Bellón
Journal:  Br J Gen Pract       Date:  2010-05       Impact factor: 5.386

2.  Persistent frequent attenders.

Authors:  Frans Smits; Henk Brouwer; Gerben Ter Riet
Journal:  Br J Gen Pract       Date:  2010-04       Impact factor: 5.386

3.  Risk profiles of frequent outpatients among public assistance recipients in Japan: a retrospective cohort study using a classification and regression trees algorithm.

Authors:  Daisuke Nishioka; Shiho Kino; Keiko Ueno; Naoki Kondo
Journal:  BMJ Open       Date:  2022-05-26       Impact factor: 3.006

4.  Health service use among patients with chronic or multiple illnesses, and frequent attenders: secondary analysis of routine primary care data from 1996 to 2006.

Authors:  Johannes Hauswaldt; Eva Hummers-Pradier; Ulrike Junius-Walker
Journal:  Dtsch Arztebl Int       Date:  2012-11-23       Impact factor: 5.594

5.  Frequent attenders of three outpatient health care schemes in Finland: characteristics and association with long-term sickness absences, 2016-2018.

Authors:  Riku Perhoniemi; Jenni Blomgren
Journal:  BMC Public Health       Date:  2021-05-06       Impact factor: 3.295

6.  Persistent frequent attenders in primary care: costs, reasons for attendance, organisation of care and potential for cognitive behavioural therapeutic intervention.

Authors:  Richard Morriss; Joe Kai; Christopher Atha; Anthony Avery; Sara Bayes; Matthew Franklin; Tracey George; Marilyn James; Samuel Malins; Ruth McDonald; Shireen Patel; Michelle Stubley; Min Yang
Journal:  BMC Fam Pract       Date:  2012-07-06       Impact factor: 2.497

7.  Predicting which people with psychosocial distress are at risk of becoming dependent on state benefits: analysis of routinely available data.

Authors:  Will Whittaker; Matt Sutton; Margaret Maxwell; Rosalia Munoz-Arroyo; Sara Macdonald; Andrew Power; Michael Smith; Philip Wilson; Jill Morrison
Journal:  BMJ       Date:  2010-08-17

8.  The inter-contact interval: a new measure to define frequent attenders in primary care.

Authors:  Johannes Hauswaldt; Wolfgang Himmel; Eva Hummers-Pradier
Journal:  BMC Fam Pract       Date:  2013-10-23       Impact factor: 2.497

9.  Morbidity and doctor characteristics only partly explain the substantial healthcare expenditures of frequent attenders: a record linkage study between patient data and reimbursements data.

Authors:  Frans T Smits; Henk J Brouwer; Aeilko H Zwinderman; Jacob Mohrs; Hugo M Smeets; Judith E Bosmans; Aart H Schene; Henk C Van Weert; Gerben ter Riet
Journal:  BMC Fam Pract       Date:  2013-09-17       Impact factor: 2.497

10.  Overutilization of ambulatory medical care in the elderly German population?--An empirical study based on national insurance claims data and a review of foreign studies.

Authors:  Hendrik van den Bussche; Hanna Kaduszkiewicz; Ingmar Schäfer; Daniela Koller; Heike Hansen; Martin Scherer; Gerhard Schön
Journal:  BMC Health Serv Res       Date:  2016-04-14       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.