Literature DB >> 32295021

Characteristics of Frequent Attenders Compared with Non-Frequent Attenders in Primary Care: Study of Remote Communities in Taiwan.

Shih-Chao Kang1,2, Chun-Chi Lin3, Chia-Chen Tsai4, Yin-Han Lu1, Chun-Feng Huang1, Yu-Chun Chen2,5.   

Abstract

Frequent attenders (FAs) have an impact on the medical resources and the quality of care. In Taiwan, the characteristics of FAs remain unclear in primary care. Outpatient data were screened from a central clinic within six surrounding fishing villages in northeastern Taiwan in 2017. FAs were defined as those who made >18 visits in one year, and those who made ≤18 visits were defined as non-frequent attenders (NFAs). Data of FAs and NFAs were collected and compared. The major diagnoses were reported using International Classifications of Diseases, Tenth Edition (ICD-10) codes. A total of 1586 subjects and 9077 visits were enrolled, including 119 FAs and 1467 NFAs. FAs had a more advanced age compared to NFAs. Both FAs and NFAs had more visits in summer. FAs had consumed high prescriptions and related costs. FAs also had higher therapeutic and first visit costs than NFAs. Comparing with age- sex-matched NFAs, FAs were positively associated with musculoskeletal diseases (M00-M99), hematological diseases (D50-D89), endocrine diseases (E00-E90), and mental disorders (F00-F99). Large-scale local datasets and suitable definitions of FAs for Taiwanese subjects are needed.

Entities:  

Keywords:  ICD-10 code; Taiwan; community medicine; family medicine; frequent attendance; primary care

Year:  2020        PMID: 32295021     DOI: 10.3390/healthcare8020096

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


  2 in total

1.  Determinants of Frequent Attendance in Primary Care. A Systematic Review of Longitudinal Studies.

Authors:  André Hajek; Benedikt Kretzler; Hans-Helmut König
Journal:  Front Med (Lausanne)       Date:  2021-02-09

2.  Risk factors for the frequent attendance of older patients at community health service centers in China: a cross-sectional study based on stratified sampling.

Authors:  Nana Li; Juan Shou
Journal:  BMC Fam Pract       Date:  2021-11-12       Impact factor: 2.497

  2 in total

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