Evidence map›Paper›PMID 39128993›Full record

ArticleBMC health services research2024

Patient-resident physician communication - a qualitative study to assess the current state, challenges and possible solutions.

Noreen Afzal, Asma Altaf Hussain Merchant, Namra Qadeer Shaikh, Ali Aahil Noorali, Rida Ahmad, Shahnoor Ahmed, Adnan Ali Khan, Saqib Kamran Bakhshi, Komal Abdul Rahim, Saad Bin Zafar Mahmood and 4 more

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

14 authors.

Noreen AfzalDepartment of Surgery, Medical College, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan. Noreen.afzal100@gmail.com.
Asma Altaf Hussain MerchantDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Namra Qadeer ShaikhDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Ali Aahil NooraliDepartment of Medicine, Medical College, Aga Khan University, Karachi, Pakistan.
Rida AhmadDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Shahnoor AhmedMedical College, Aga Khan University, Karachi, Pakistan.
Adnan Ali KhanMedical College, Aga Khan University, Karachi, Pakistan.
Saqib Kamran BakhshiDepartment of Surgery, Medical College, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan.
Komal Abdul RahimDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Saad Bin Zafar MahmoodDepartment of Medicine, Medical College, Aga Khan University, Karachi, Pakistan.
Maryam Pyar Ali LakhdirDepartment of Community Health Sciences, Medical College, Aga Khan University, Karachi, Pakistan.
Muhammad Rizwan KhanDepartment of Surgery, Medical College, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan.
Muhammad TariqDean's Office, Medical College, Aga Khan University, Karachi, Pakistan.
Adil H HaiderDepartment of Surgery, Medical College, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients perceive effective patient-doctor communication as an important metric when evaluating their satisfaction with health systems. Hence, optimal patient-physician communication is fundamental for quality healthcare. High-income countries (HICs) have extensively studied patient-resident communication. However, there is a dearth of similar studies in low- and middle-income countries (LMICs). Therefore, we aimed to explore the current state of and barriers to practicing good patient-resident communication and explore possible solutions to mitigate these challenges at one of the largest Academic Medical Centers in an LMIC.

methodsThis study employed an exploratory qualitative study design and was conducted at the Aga Khan University Hospital in Pakistan. Through purposive maximum variation sampling, 60 healthcare workers from diverse cohorts, including attendings, fellows, residents, and medical students, participated in eight focus group discussions.

resultsWe identified three key themes from the data: Status-quo of residents' communication skills and learning (Poor verbal and non-verbal communication, inadequate training programs, and variable sources of learning), Barriers to effective communication (Institutional barriers such as lack of designated counselling spaces, lack of resident insight regarding effective communication and deficits in intra-team communication), and the need for developing a communication skills curriculum (Design, implementation and scaling to other cohorts of healthcare workers).

conclusionsFindings from this study show that multifaceted factors are responsible for inadequate patient resident-physician communication, highlighting the need for and importance of developing a formal communication skills training curriculum for residents. These insights can be used to create standardized training for equipping residents with adequate skills for effectively communicating with patients which can improve healthcare service delivery and patient outcomes.

Indexed as

CommunicationFocus GroupsInternship and ResidencyPhysician-Patient RelationsQualitative ResearchAdultFemaleHumansMalePakistanCommunication skills curriculaCore competencyPatient-physician communicationPostgraduate medical educationResident education

Identifiers

PMID39128993
PMCPMC11318183

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.