Evidence map›Paper›PMID 40636400›Full record

ArticleInfection prevention in practice2025

Assessment of knowledge, attitude and practices regarding standard precautions of infection prevention and control and associated factors among healthcare personnel working at tertiary care hospitals in Punjab, Pakistan.

Muhammad Kiddeer, Aamir Abbas, Abdul Basit, Tawseef Ahmad, Imran Masood

Abstract read
In one paragraph

Article in Infection prevention in practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

5 authors.

Muhammad KiddeerDepartment of Pharmacy Practice, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan.
Aamir AbbasBannu Medical College, Khyber Medical University, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Abdul BasitDepartment of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Tawseef AhmadDepartment of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Imran MasoodDepartment of Pharmacy Practice, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inadequate infection control in healthcare settings can increase healthcare-associated infections and worsen morbidity and mortality rates. Standard precautions, applicable to all patients with suspected or confirmed infections, safeguard both healthcare personnel and patients. This study aimed to evaluate knowledge, attitudes and practices regarding standard precautions among healthcare personnel in tertiary care hospitals across Punjab, Pakistan. Methods: This multi-centre cross-sectional study, conducted from May to July 2019, included 600 healthcare personnel recruited via convenience sampling from tertiary care hospitals in six cities selected at random. Results: Out of 533 healthcare personnel, the response rate was 88.8%. Most respondents were female ( Conclusion: Knowledge, attitudes and practices of healthcare personnel regarding standard precautions were inadequate. Continuous education and certified training for healthcare personnel can improve infection control measures substantially in public healthcare settings.

Indexed as

Healthcare-associated infectionKnowledgePunjab, PakistanStandard precautions

Identifiers

PMID40636400
PMCPMC12240071

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.