Evidence map›Paper›PMID 37705992›Full record

ArticleRisk management and healthcare policy2023

The Influence of Diagnosis Intervention Packet Policy Intervention on Medication Structure and Drug Cost of Elderly Hypertensive Inpatients in China: A Multicenter Interrupted Time-Series Analysis.

Dongsheng Hong, Duo Lv, Jiaying Wu, Xin Li, Qingwei Zhao, Xiaoyang Lu, Lu Li

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors.

Dongsheng HongKey Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Duo LvKey Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Jiaying WuKey Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Xin LiKey Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Qingwei ZhaoKey Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Xiaoyang LuKey Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Lu LiDepartment of Social Medicine of school of Public Health, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: DIP is a new medical insurance payment system developed in China which was implemented in Guangzhou in January 2018, but few studies have focused on its intervention effect on the drug burden of elderly hypertensive patients. Methods: Nine medical institutions in Guangzhou, China, were selected, among which, daily full medical orders of elderly hypertensive inpatients from 2016 to 2020 were randomly collected. To assess the impact of DIP policy intervention on patient drug burden, we took the data after policy implementation in January 2018, as the intervention data, and applied a segmented regression model with interrupted time series to analyze the trend and changes in average daily drug costs per month and medication structure, stratified by age, sex, and inpatient department. Results: A total of 34,276 elderly hypertensive patients' daily full medical orders were obtained. The immediate level change of drug costs after intervention was -23.884 RMB/month ( Conclusion: The typical practice in China showed that DIP policy intervention can improve the drug burden of elderly hypertensive hospitalized patients and has a stable long-term effect, and the intervention effect is not consistent across different clinical department and populations with different characteristics, and it would also cause changes in the medication structure.

Indexed as

daily drug costdiagnosis-intervention packet policyelderly hypertensioninterrupted time series analysismedication structure

Identifiers

PMID37705992
PMCPMC10497050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.