Satisfaction With Health Care Services at the Pediatric Specialist Clinic of the National Referral Center in Malaysia: Cross-sectional Study of Caregivers’ Perspectives
Bibliographic record
Abstract
BACKGROUND: The concept of customer satisfaction is gaining hold in all corporate sectors worldwide, and a satisfaction survey is used as a tool to discover service problems and as a chance for customers to rate their experience with health care services. A high degree of patient satisfaction with the services given has been found in numerous studies conducted in Malaysian public health care facilities. However, there is limited information available on caregiver satisfaction with pediatric clinics run by the Ministry of Health (MoH) of Malaysia. OBJECTIVE: This was the first research performed at a public hospital's pediatric clinic, which was the first hospital to adopt the public-private-partnership model under the MoH, with the aim of discovering the prevalence and factors affecting the satisfaction of caregivers at the national referral center. METHODS: Cross-sectional research using the standard self-administered SERVQUAL questionnaire was conducted among caregivers accompanying their children to the clinic. The questionnaire consists of 16 paired statements to evaluate their expectations and experiences with the clinic services. RESULTS: A total of 459 caregivers were involved in this study with a majority aged between 30 and 39 years (n=254, 55.4%). Caregivers from the Indian community (adjusted odds ratio [AOR] 2.91, 95% CI 1.37-6.18) and lower income groups (AOR 2.94, 95% CI 1.87-4.64), and those with lower educational backgrounds (AOR 3.58, 95% CI 1.19-10.72) were more likely to be satisfied with the quality of pediatric clinic services. Housewives/househusbands (AOR 0.48, 95% CI 0.25-0.90), on the other hand, appeared less likely to be satisfied with the services provided during their visit to the clinic. Looking at overall patient satisfaction, 50.5% (n=232) of caregivers demonstrated satisfaction with the quality of services, compared to 49.5% (n=227) of dissatisfied respondents. CONCLUSIONS: This paper suggests that, although most caregivers are satisfied with the services, greater emphasis must be placed on delivering reliable service in response to the MoH's mission to provide quality and integrated people-centered health services in Malaysia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".