Erratum: Risk factors for persistent frequent use of the primary health care services among frequent attenders: A Bayesian approach (Scandinavian Journal of Primary Health Care (2010) 28 (55-61) DOI: 10.3109/02813431003690596);Risk factors for persistent frequent use of the primary health care services among frequent attenders: A Bayesian approach

Scandinavian Journal of Primary Health Care

Volumn 28, Issue 1, 2010, Pages 55-61

  Koskela, Tuomas Heikki ^a   Ryynanen, Olli Pekka ^b   Soini, Erkki J ^c  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b KUOPIO UNIVERSITY HOSPITAL   (Finland)

^c UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

Data mining; Decision making; Family practice; Follow up studies; Frequent attender; Health ser vices research utilization; Prognosis methods

Indexed keywords

ADULT; AGED; AMBULATORY CARE; ARTICLE; BAYES THEOREM; COHORT ANALYSIS; FEMALE; FINLAND; GENERAL PRACTICE; HEALTH SERVICE; HUMAN; MALE; MIDDLE AGED; PATIENT SATISFACTION; PRIMARY HEALTH CARE; PROSPECTIVE STUDY; STATISTICS; UTILIZATION REVIEW; WORKLOAD;

ADULT; AGED; BAYES THEOREM; COHORT STUDIES; FAMILY PRACTICE; FEMALE; FINLAND; HEALTH SERVICES MISUSE; HUMANS; MALE; MIDDLE AGED; OFFICE VISITS; PATIENT SATISFACTION; PRIMARY HEALTH CARE; PROSPECTIVE STUDIES; WORKLOAD;

EID: 77950212803     PISSN: 02813432     EISSN: 15027724     Source Type: Journal    
DOI: 10.3109/02813432.2010.487683     Document Type: Erratum

References (30)

1. Neal RD, Heywood PL, Morley S, Clayden AD, Dowell AC. Frequency of patients ' consulting in general practice and workload generated by frequent attenders: Comparisons between practices. Br J Gen Pract 1998;48:895-898
2. Heywood PL, Blackie GC, Cameron IH, Dowell AC. An assessment of the attributes of frequent attenders to general practice. Fam Pract 1998;15:198-204.
3. Vedsted P, Christensen MB. Frequent attenders in general practice care: A literature review with special reference to methodological considerations. Public Health 2005;119: 118-137
4. Gill D, Sharpe M. Frequent consulters in general practice: A systematic review of studies of prevalence, associations and outcome. J Psychosom Res 1999;47:115-130
5. Smits FT, Wittkampf KA, Schene AH, Bindels PJ, Van Weert HC. Interventions on frequent attenders in primary care: A systematic literature review. Scand J Prim Health Care 2008; 26:111-116
6. Andersson SO, Lynoe N, Hallgren CG, Nilsson M. Is frequent attendance a persistent characteristic of a patient? Repeat studies of attendance pattern at the family practitioner. Scand J Prim Health Care 2004;22:91-94
7. Carney TA, Guy S, Jeffrey G. Frequent attenders in general practice: A retrospective 20-year follow-up study. Br J Gen Pract 2001;51:567-569
8. Gill D, Dawes M, Sharpe M, Mayou R. GP frequent consulters: Their prevalence, natural history, and contribution to rising workload. Br J Gen Pract 1998;48:1856-1857
9. Semmence A. Chronic high users in a general practice: A preliminary study. J R Coll Gen Pract 1969;17:304-310
10. Vedsted P, Olesen F. Frequent attenders in out-of-hours general practice care: Attendance prognosis. Fam Pract 1999; 16:283-288
11. Vrca Botica M, Kovacic L, Kujundzic Tiljak M, Katic M, Botica I, Rapic M, et al. Frequent attenders in family practice in Croatia: Retrospective study. Croat Med J 2004;45:620-624
12. Ward AM, Underwood P, Fatovich B, Wood A. Stability of attendance in general practice. Fam Pract 1994;11:431-437
13. Smits FT, Brouwer HJ, van Weert HC, Schene AH, ter Riet G. Predictability of persistent frequent attendance: A historic 3-year cohort study. Br J Gen Pract 2009;59:44-50.
14. Smits FT, Brouwer HJ, ter Riet G, van Weert HC. Epidemiology of frequent attenders: A 3-year historic cohort study comparing attendance, morbidity and prescriptions of oneyear and persistent frequent attenders. BMC Public Health 2009;9:36.
15. Beck AT, Steer RA. Internal consistencies of the original and revised Beck Depression Inventory J Clin Psychol 1984; 40:1365-1367
16. Antonovsky A. The structure and properties of the sense of coherence scale. Soc Sci Med 1993;36:725-733
17. Sintonen H. The 15D instrument of health-related quality of life: Properties and applications. Ann Med 2001;33:328-336
18. Taylor GJ, Bagby RM, Parker JD. The 20-item Toronto Alexithymia Scale, IV: Reliability and factorial validity in different languages and cultures. J Psychosom Res 2003;55:277-283
19. Derogatis LR, Lipman RS, Covi L. SCL-90: An outpatient psychiatric rating scale: Preliminary report. Psychopharmacol Bull 1973;9:13-28.
20. Speckens AE, Spinhoven P, Sloekers PP, Bolk JH, van Hemert AM. A validation study of the Whitely Index, the Illness Attitude Scales, and the Somatosensory Amplifi cation Scale in general medical and general practice patients. J Psychosom Res 1996;40:95-104.
21. Raivio R, Jaaskelainen J, Holmberg-Marttila D, Mattila K. Potilastyytyv ä isyyden mittaaminen perusterveydenhuollossa [Assessment of patient satisfaction in primary health care: Reliable information and benchmarking]. Suom L ä ä k ä ril 2008;63:2622-2626 [in Finnish]. English summary.
22. Hauge R, Irgens-Jensen O. Scandinavian drinking journey: Sampling operations and data collections. Oslo: SIFA (National Institute for Alcohol Research); 1981.
23. Ng AY, Jordan MI. Discriminative vs. generative classifi ers: A comparison of logistic regression and naive Bayes. Advances in Neural Information Processing Systems 14. Cambridge, MA: MIT Press; 2002.
24. Soini EJ, Rissanen T, Tiihonen J, Hodgins S, Eronen M, Ryyn ä nen OP. Predicting forensic admissions among the mentally ill in a multinational setting: A Bayesian modelling approach. Data Knowl Engin 2009;68: 1427-1440
25. Lucas P. Bayesian analysis, pattern analysis, and data mining in health care. Curr Opin Crit Care 2004;10:399-403.
26. Brown LD, Cai TT, DasGupta A. Interval estimation for a binomial proportion. Stat Sci 2001;16:101-133
27. Alley DE, Chang VW. The changing relationship of obesity and disability, 1988 - 2004. JAMA 2007;298:2020-2027
28. Kapur N, Hunt I, Lunt M, McBeth J, Creed F, Macfarlane G. Psychosocial and illness related predictors of consultation rates in primary care: A cohort study. Psychol Med 2004; 34:719-728
29. Jordan K, Ong BN, Croft P. Previous consultation and self reported health status as predictors of future demand for primary care. J Epidemiol Community Health 2003;57:109-113
30. Kapur N, Hunt I, Lunt M, McBeth J, Creed F, Macfarlane G. Primary care consultation predictors in men and women: A cohort study. Br J Gen Pract 2005;55:108-113