Evidence map›Paper›PMID 39781175›Full record

ArticleCureus2024

Knowledge, Attitude, and Practice (KAP) Regarding the Use of Artificial Intelligence in Hospital Settings in Mardan, Khyber Pakhtunkhwa, Pakistan.

Faizan Sadiq, Faran Sadiq, Ruba Gul, Fatima Zuhra, Muhammad Khalid Khan, S Mohsin Ali Shah, Faryal Uzma, Noor Ul Haram Khattak, Waqas Alam, Misbah Ullah Khan

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

10 authors.

Faizan SadiqPediatrics Department, Mardan Medical Complex, Mardan, PAK.
Faran SadiqAccident and Emergency, Lady Reading Hospital, Peshawar, PAK.
Ruba GulPediatrics Department, Khyber Teaching Hospital, Peshawar, PAK.
Fatima ZuhraPediatrics Department, Khyber Teaching Hospital, Peshawar, PAK.
Muhammad Khalid KhanPediatrics Department, Khyber Teaching Hospital, Peshawar, PAK.
S Mohsin Ali ShahPediatrics Department, Khyber Teaching Hospital, Peshawar, PAK.
Faryal UzmaAnesthesia Department, Lady Reading Hospital, Peshawar, PAK.
Noor Ul Haram KhattakPediatrics Department, Khyber Teaching Hospital, Peshawar, PAK.
Waqas AlamPediatrics Department, Mardan Medical Complex, Mardan, PAK.
Misbah Ullah KhanPediatrics Department, Khyber Teaching Hospital, Peshawar, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Artificial intelligence (AI) is revolutionizing healthcare globally by enhancing diagnostic accuracy, predicting patient outcomes, and enabling personalized treatment plans. However, in low- and middle-income countries (LMICs) like Pakistan, the integration of AI into healthcare is limited due to challenges such as lack of funding, provider resistance, and inadequate training. Despite these barriers, there is growing interest among healthcare providers in understanding and adopting AI technologies to improve professional efficiency. Objective To determine knowledge, attitude, and practice (KAP) regarding the use of artificial intelligence (AI) among doctors in a hospital setting. Method This cross-sectional study was conducted at Mardan Medical Complex, Mardan, from January 2023 to March 2023. A total of 150 doctors from various departments participated by completing a validated questionnaire designed to assess their KAP regarding AI. The questionnaire, consisting of nine close-ended questions, was specifically designed and distributed to participants through social media applications, including WhatsApp (California, USA) and email, to maximize accessibility. It included structured questions rated on Likert scales to quantify the levels of knowledge, attitude, and practice. Participants were also asked about their exposure to AI-related training or professional work. Descriptive analysis was performed to determine the frequency and percentage of responses. Results The mean ± SD of age in this study was 36.95 ± 8.58 years. Male participants were 72.66%, while 27.33% were females. The response to the questions showed that the majority of participants (66%) knew the term AI; however, they were unsure regarding its use in healthcare. The majority of doctors (67.33%) had positive thoughts about the possibility of using AI in health management. Importantly, the majority of participants (72.66%) had never had a chance to do any AI-related work in their professional lives. The assessment of KAP showed that the majority of doctors had a medium level of knowledge (36.66%), a high level of attitude (57.55%), and a low level of practice (65.66%) regarding AI. Conclusions These results conclude that the knowledge regarding AI's use in healthcare is medium and its use in clinical practice is low; however, doctors have a high level of interest in applying AI to improve their professional efficiency.

Indexed as

artificial intelligence (ai)doctorshospital settingknowledge attitude and practicequalitative research

Identifiers

PMID39781175
PMCPMC11707555

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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.