ArticleNorthern clinics of Istanbul2024
Patient satisfaction with health care services in Turkiye: A glimpse from nationwide Ministry of Health database.
Article in Northern clinics of Istanbul, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Does Patient Satisfaction with Primary and Emergency Care Influence Non-Urgent Emergency Department Utilization? A Path Analysis.Journal of multidisciplinary healthcare · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePatient satisfaction refers to the degree to which patients' expectations from health care services are met and is a critical indicator used to measure the overall quality of this service. This study aims to analyze overall patient satisfaction and regarding factors in our country, providing valuable insights for policymakers, clinicians, and researchers who aim to improve the quality of health care services and patient outcomes. Furthermore, as a nationwide assessment, this study reveals the potential of big data analytics in health services.
methodsIntegrated e-Pulse and Health Statistics and Causal Analysis (SINA) systems were used to gather satisfaction scores given by patients after any health care service obtained for overall health care service, physician, personnel other than physician, sanitization (from 0 to 100). The data were processed and analyzed using libraries Pandas and NumPy in the Python programming language.
resultsA total of 37.674.978 scores were given by a total of 11.421.857 patients regarding health care service they obtained involving ratings of 207.339 physicians, between the years of 2016 and 2023. Mean health care rating was 80.4 over 100, mean physician rating was 82, mean rating for personnel other than physicians was 78.4 and mean rating for sanitization was 77.7. When the top 15 most scored facilities were investigated, overall point was highest for Family Medicine centers (94.62) and lowest for Women's Health and Pediatric Diseases hospitals. When rate of 100 points given for each clinic after an admission was investigated, it was lowest for emergency medicine, pediatric emergency medicine, dentistry, endodontia, dermatology and pandemic clinics, and highest for oncology, radiation oncology and family medicine clinics. Waiting time to admission and length of hospital stay seemed to be important factors for patient satisfaction.
conclusionThis is the largest study regarding patient satisfaction in Turkiye and was conducted by the foremost health care provider, the Ministry of Health. This limited data may provide implications to be assessed to keep the positive trend in our country in patient satisfaction and future analyses evaluating infinite potential factors to hasten the progress of health care in our country.
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.