ArticleBMC public health2025
Determinants of doctor-doctor relationships among academic and clinical staff at a university hospital, Cairo, Egypt: a mixed method study.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGood work boosts mental health, self-esteem, and earnings, while physicians are more likely to experience burnout and dissatisfaction with work-life balance, leading to decreased productivity. This study aimed to identify the factors shaping the relationship between medical staff in academic and clinical departments and to describe the overall working environment.
methodsThe current study was conducted among demonstrators/residents, assistant lecturers, and lecturers from academic and clinical departments of a tertiary care hospital in Cairo, Egypt. Mixed methods were used. For the quantitative part, a comparative cross-sectional study was conducted on 228 clinical and 89 academic participants. The Doctor-Doctor Relationship and Workplace Environment Evaluation Scale (DDRWEE) was computed using 18 statements with a 3-point Likert scale. For the qualitative part, 16 in-depth interviews were conducted with 8 clinical and 8 academic participants.
resultsThe mean age of academic staff was 32.8 ± 4.5 versus 30.9 ± 4.2 for clinical staff. The factors decreasing the DDRWEE Score were being clinical staff, weak scientific advantages from colleagues, weak practical advantages from seniors, weak ethical advantages from seniors, and thinking of resignation or changing career. For the qualitative part, six themes were generated: Factors affecting relations with colleagues both specifically and generally; Reliability of the statement: "When I become a senior, I will treat juniors the same way I was treated"; Causes of strained relationships between colleagues and reflections from personal experiences; Factors that enhance colleague relationships and reflections from personal experiences; Behavior of colleagues in the department when someone faces accountability: and Qualities of an ideal doctor and suggestions for creating a better doctor-to-doctor work environment.
conclusionThe study emphasized the importance of creating a supportive academic and professional environment for medical staff, addressing their practical and emotional needs. This research suggests that while the DDRWEE score has good internal validity, external validation is needed for its wider applicability. LIMITATIONS: The study's generalizability to Egyptian physicians is limited due to sample convenience, the need for external validation of the DDRWEE score, and potential reporting bias due to the self-administered questionnaire.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.