Dataset Information

Predictors of patient satisfaction in an emergency care centre in central Saudi Arabia: a prospective study.

ABSTRACT:

Aim

This study aimed to (i) assess the level of patient satisfaction and its association with different sociodemographic and healthcare characteristics in an emergency care centre (ECC) in Saudi Arabia and (ii) to identify the predictors of patients' satisfaction.

Methods

A prospective cohort study of 390 adult patients with Canadian triage category III and IV who visited ECC at King Abdulaziz Medical City, Riyadh, Saudi Arabia, between 1 July and end of September 2011 was conducted. All patients were followed up from the time of arrival at the front desk of ECC until being seen by a doctor, and were then interviewed. Patient satisfaction was measured using a previously validated interview-questionnaire, within two domains: clarity of medical information and relationship with staff. Patient perception of health status after as compared with before the visit, and overall life satisfaction were also measured. Data on patient characteristics and healthcare characteristics were collected. Multiple linear regression analysis was used, and significance was considered at p≤0.05.

Results

One-third (32.8%) of patients showed high level of overall satisfaction and 26.7% were unsatisfied, with percentage mean score of 70.36% (17.40), reflecting moderate satisfaction. After adjusting for all potential confounders, lower satisfaction with the ED visit was significantly associated with male gender (p<0.001), long waiting time (p=0.032) and low perceived health status compared with status at admission (p<0.001). Overall life satisfaction was not a significant predictor of patient satisfaction.

Conclusions

An appreciation of waiting time as the only significant modifiable risk factor of patient satisfaction is essential to improve the healthcare services, especially at emergency settings.

SUBMITTER: Abolfotouh MA

PROVIDER: S-EPMC5256124 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundWe used a validated inpatient satisfaction questionnaire to evaluate the health care received by patients admitted to several hospitals. This questionnaire was factored into distinct domains, creating a score for each to assist in the analysis. We evaluated possible predictors of patient satisfaction in relation to socio-demographic variables, history of admission, and survey logistics.MethodsCross-sectional study of patients discharged from four acute care general hospitals. Random sample of 650 discharged patients from the medical and surgical wards of each hospital during February and March 2002. A total of 1,910 patients responded to the questionnaire (73.5%). Patient satisfaction was measured by a validated questionnaire with six domains: information, human care, comfort, visiting, intimacy, and cleanliness. Each domain was scored from 0 to 100, with higher scores indicating higher levels of patient satisfaction.ResultsIn the univariate analysis, age was related to all domains except visiting; gender to comfort, visiting, and intimacy; level of education to comfort and cleanliness; marital status to information, human care, intimacy, and cleanliness; length of hospital stay to visiting and cleanliness, and previous admissions to human care, comfort, and cleanliness. The timing of the response to the mailing and who completed the questionnaire were related to all variables except visiting and cleanliness. Multivariate analysis confirmed in most cases the previous findings and added additional correlations for level of education (visiting and intimacy) and marital status (comfort and visiting).ConclusionThese results confirm the varying importance of some socio-demographic variables and length of stay, previous admission, the timing of response to the questionnaire, and who completed the questionnaire on some aspects of patient satisfaction after hospitalization. All these variables should be considered when evaluating patient satisfaction.

Project description:ObjectivesTo evaluate patient experiences of specific aspects of haemodialysis care across several countries.DesignCross-sectional survey using the Choices for Healthy Outcomes in Caring for End-Stage Renal Disease (CHOICE) questionnaire.SettingHaemodialysis clinics within a single provider in Europe and South America.Participants2748 adults treated in haemodialysis.Primary and secondary outcomesThe primary outcome was patient satisfaction with overall care. Secondary outcomes included patient experiences of individual aspects of dialysis care.Results2145 (78.1%) adults responded to the questionnaire. Fewer than half (46.5% (95% CI 44.5% to 48.6%)) rated their overall care as excellent. Global perceptions of care were uninfluenced by most respondent characteristics except age and depressive symptoms; older respondents were less critical of their care (adjusted OR for excellent rating 1.44 (1.01 to 2.04)) and those with depressive symptoms were less satisfied (0.56 (0.44 to 0.71)). Aspects of care that respondents most frequently ranked as excellent were staff attention to dialysis vascular access (54% (52% to 56%)); caring of nurses (53% (51% to 55%)); staff responsiveness to pain or discomfort (51% (49% to 53%)); caring, helpfulness and sensitivity of dialysis staff (50% (48% to 52%)); and ease of reaching dialysis staff by telephone (48% (46% to 50%)). The aspects of care least frequently ranked as excellent were information provided when choosing a dialysis modality (23% (21% to 25%)), ease of seeing a social worker (28% (24% to 32%)), information provided about dialysis (34% (32% to 36%)), accuracy of information from nephrologist (eg, about prognosis or likelihood of a kidney transplant; 37% (35% to 39%)) and accuracy of nephrologists' instructions (39% (36% to 41%)).ConclusionsHaemodialysis patients are least satisfied with the complex aspects of care. Patients' expectations for accurate information, prognosis, the likelihood of kidney transplantation and their options when choosing dialysis treatment need to be considered when planning healthcare research and practices.