Evidence map›Paper›PMID 31694620›Full record

ArticleBMC health services research2019

Prescribing patterns of encounters in fourteen general practice clinics in rural Beijing: a cross-sectional study.

Guanghui Jin, Chao Chen, Yanli Liu, Yali Zhao, Lifen Chen, Juan Du, Xiaoqin Lu, Jianjun Chen

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Evaluating drug use patterns among paediatric outpatients in Burundi.Journal of pharmaceutical policy and practice · 2024
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Guanghui JinDepartment of General Practice, School of General Practice and Continuing Education, Capital Medical University, Beijing, China.
Chao ChenDepartment of Education, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yanli LiuDepartment of General Practice, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yali ZhaoDepartment of General Practice, School of General Practice and Continuing Education, Capital Medical University, Beijing, China.
Lifen ChenDepartment of Education, Xuanwu Hospital, Capital Medical University, Beijing, China.
Juan DuDepartment of General Practice, School of General Practice and Continuing Education, Capital Medical University, Beijing, China.
Xiaoqin LuDepartment of General Practice, School of General Practice and Continuing Education, Capital Medical University, Beijing, China. xq6518@163.com.
Jianjun ChenDepartment of Education, Beijing Friendship Hospital, Capital Medical University, Beijing, China. jianjun7901@163.com.

Funding

the President Research Fund of Capital Medical University 2015JYZ03
6 · The paper itself

Abstract

backgroundGeneral practice clinics are the main primary care institutions providing ambulatory care in the rural areas of Beijing, rational use of medicines is crucial for the rural primary care system. This study investigated the prescribing patterns of general practice clinics in rural Beijing to provide a baseline for monitoring and promoting the rational use of medicines.

methodsWe performed a cross-sectional study at 14 rural community health service centers in 6 non-central districts of Beijing sampled through a multistage approach, 85 general practitioners were selected from the 14 centers. Total 8500 prescriptions were derived by recording 100 consecutive patients of each the general practitioner. The World Health Organization drug use indicators and an additional indicator were adopted to assess the prescribing patterns.

resultsThe median number of medicines per encounter was 2.0 (1.0, 2.0); the percentage of generics and essential medicines prescribed were 97.0 and 58.2%, respectively; the percentage of encounters with antibiotics prescribed was 15.1%; the percentage of encounters with injections prescribed was 3.7%; the percentage of encounters with traditional Chinese patent medicines prescribed was 52.5%; the median duration of consultation time was 6.0 (4.0, 10.0) minutes. The most frequently prescribed medicine was aspirin (low dose, 4.6%). The prescribing indicators were influenced by different patient characteristics, patients with new cooperative rural medical scheme were less likely to be prescribed with ≥3 medicines (OR 0.865), essential medicines (OR 0.812) and traditional Chinese patent medicines (OR 0.631), but were more likely to be prescribed with injections (OR 1.551) in the encounter. Patients with ≥3 problems were more likely to be prescribed with ≥3 medicines (OR 6.753), antibiotics (OR 2.875) and traditional Chinese patent medicines (OR 2.926) in the encounter.

conclusionsMost indicators in this study showed similar or fair performance in comparison with World Health Organization and domestic reports, except the percentage of medicines prescribed from the essential medicine list. Regular monitoring on the prescription quality of general practice clinics in rural Beijing should be maintained.

Indexed as

General PracticePractice Patterns, Physicians'BeijingCross-Sectional StudiesDrug PrescriptionsGeneral PractitionersHumansPrescription DrugsReferral and ConsultationRural PopulationPrescription DrugsBeijingCommunity health serviceGeneral practiceMedicinesPrescribing patternsRural

Identifiers

PMID31694620
PMCPMC6836536

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.