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Determinants of frequent attendance in Danish general practice: a cohort-based cross-sectional study

Overview of attention for article published in BMC Primary Care, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Determinants of frequent attendance in Danish general practice: a cohort-based cross-sectional study
Published in
BMC Primary Care, January 2016
DOI 10.1186/s12875-016-0412-4
Pubmed ID
Authors

Jeanette Therming Jørgensen, John Sahl Andersen, Anne Tjønneland, Zorana Jovanovic Andersen

Abstract

Previous studies addressing determinants of frequent attendance have mainly focused on socio-demographic, psychosocial and medical factors, and few had data on lifestyle and gender-specific factors. This study aims to describe determinants of general practice frequent attendance in Danish adult population, by examining lifestyle, socio-demographic, medical and gender-specific factors. For 54,849 participants of the Danish Diet, Cancer and Health cohort (50-65 year old) we obtained data on visits to general practitioner (GP) from the Danish National Health Service Register at cohort baseline (1993-97), when information on medical conditions and lifestyle, socio-demographic and gender-specific factors was collected by questionnaire. Logistic regression was used to identify determinants of frequent attendance, defined as top 10 % GP users at the year of recruitment into the cohort (baseline) in the period between 1993 and 1997. Frequent attenders accounted for 40 % of all face-to-face GP consultations with a mean 12 visits/year. Women were more likely to be frequent attenders, in crude (Odds ratio: 1.95; 95 % Confidence Interval: 1.85-2.06) and fully adjusted (1.26; 1.09-1.47) model. In a fully adjusted model, strongest determinants of frequent attendance were pre-existing medical conditions, with hypertension (2.58; 2.42-2.75), diabetes (2.24; 1.94-2.59), and mental illness (2.29; 2.09-2.52) more than doubling the odds of being FA. High education (0.63; 0.57-0.69, >4 years higher education vs. no vocational training) and employment (0.61; 0.57-0.65) were inversely associated with frequent attendance. Finally, obesity (1.54; 1.14-2.08), smoking (1.21; 1.12-1.30, current vs. never), physical activity (0.84; 0.80-89), alcohol consumption (0.83; 0.78-0.87 above vs. below recommended level), and hormone therapy in women (1.52; 1.42-1.63) were all significant determinants of frequent attendance. In addition to pre-existing medical conditions, gender, socio-demographic and gender-specific factors, lifestyle (obesity, smoking, exercise and alcohol use) is also an independent determinant of frequent attendance at general practitioner.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 15%
Student > Ph. D. Student 14 12%
Student > Bachelor 13 11%
Student > Master 11 9%
Student > Doctoral Student 6 5%
Other 20 17%
Unknown 35 30%
Readers by discipline Count As %
Medicine and Dentistry 30 26%
Nursing and Health Professions 15 13%
Social Sciences 10 9%
Psychology 8 7%
Economics, Econometrics and Finance 4 3%
Other 11 9%
Unknown 38 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 February 2016.
All research outputs
#6,313,804
of 25,374,917 outputs
Outputs from BMC Primary Care
#784
of 2,359 outputs
Outputs of similar age
#93,846
of 405,488 outputs
Outputs of similar age from BMC Primary Care
#13
of 30 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 405,488 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.