Evidence map›Paper›PMID 42404947›Full record

SynthesisFrontiers in public health2026

Effectiveness of pharmaceutical care interventions amid pharmacist role transformation in China: a meta-analysis.

Pengyu Zhao, Shuai Geng

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Pengyu ZhaoDepartment of Education, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
Shuai GengDepartment of Pharmacy, The Ninth Medical Center of PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the effectiveness of pharmaceutical care delivered by Chinese pharmacists during their professional role transformation, including prescription review, medication counseling, prescription comment, and the value of pharmacist interventions in multidisciplinary team settings, with the aim of providing evidence-based support for advancing the transformation and optimizing service models of the pharmacy workforce in China. Methods: We searched PubMed, Embase, Cochrane Library, Web of Science, CBM, CNKI, Wanfang, and VIP from inception to April 2026. RCTs and NRSIs examining pharmacist-delivered pharmaceutical care in Chinese institutions were included. Risk of bias was assessed with Cochrane ROB and ROBINS-I. Meta-analyses used odds ratios (ORs) and 95% CIs. Results: Thirty-two studies (5 RCTs, 27 NRSIs) were included. Pharmacist interventions were associated with increased single-agent antimicrobial use (OR 3.13, 95%CI 2.49-3.92) and rational prescriptions (OR 2.97, 95%CI 2.30-3.85), and reduced combination therapy, irrational prescriptions (OR 0.22, 95%CI 0.17-0.28), as well as reduced irrational prescribing in intravenous admixture centers and outpatient settings (non-standard: OR 0.46, 95%CI 0.43-0.49; inappropriate: OR 0.51, 95%CI 0.42-0.62; exceptional: OR 0.26, 95%CI 0.08-0.84). Heterogeneity was substantial ( Conclusion: Pharmacist-led interventions are associated with improved prescribing process indicators in China. However, the evidence is limited by few RCTs, predominance of NRSIs with moderate/high bias, and high heterogeneity. Findings are exploratory and hypothesis-generating. High-quality RCTs with patient-centered outcomes are needed.

Indexed as

Pharmaceutical ServicesPharmacistsProfessional RoleChinaHumansantimicrobial agentsmeta-analysispharmaceutical carepharmacistrational drug userole transformation

Identifiers

PMID42404947
PMCPMC13330479

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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.