Comparing public and private hospitals’ service quality

Alumran, Arwa; Almutawa, Hanadi Hassan Ali; Alzain, Zainab; Althumairi, Arwa; Khalid, Nauman

doi:10.1007/s10389-019-01188-9

Cited by 32 publications

(32 citation statements)

References 13 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…From this perspective, it appears that the patients admitted to the university hospital were more satis ed than those referred to the non-university one were. However, the results of a study recently conducted in Saudi Arabia neighboring Iran demonstrated a smaller gap in service quality by nongovernmental hospitals, and patients' satisfaction with such hospitals were also at higher levels [31]. However, unlike Iran, most hospitals in Saudi Arabia are non-university and private ones, and the competitive nature of these centers can give them more incentives to deliver high-quality services to patients and win their satisfaction, since managers of such hospitals have to focus on the improvement of service quality to gain more pro ts.…”

Section: Discussionmentioning

confidence: 92%

Hospital Service Quality Based on HEALTHQUAL Model and Trusting Nurses at Iranian University and Non-University Hospitals: A Comparative Study

Nemati

Bahreini

Pouladi

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Establishment and improvement of patients’ trust in healthcare organizations like hospitals necessitate delivering high-quality services by nurses, as the largest group of healthcare providers. The present study aimed to compare hospital service quality based on the HEALTHQUAL model and trusting nurses at university and non-university hospitals in Iran.Methods: This comparative cross-sectional study was conducted on 990 patients admitted to university and non-university hospitals located in Bushehr Province, southern Iran, who were selected using the stratified random sampling method. The data were collected through the HEALTHQUAL questionnaire and the Trust in Nurses Scale, and then analyzed via the SPSS Statistics software (version 22) as well as the General Linear Model (GLM) univariate procedure and the Chi-square test with a significance level of 0.05.Results: The study findings revealed that the mean values of real quality (perceptions) and ideal quality (expectations) were 3.89±0.69 4.55±0.47, respectively. The gap between the real and ideal quality (-0.64) was also higher at the non-university hospital from the patients’ viewpoints. Comparing various dimensions of service quality, the largest gap at university and non-university hospitals was associated with “environment” (-0.13) and “empathy” (-0.18), respectively. Additionally, the mean scores of patient trust in nurses at university and non-university hospitals were 10.34±5.81 and 8.71±4.05, respectively, being a statistically significant difference (p<0.001).Conclusion: The study results demonstrated that hospital service quality and trusting in nurses were at higher levels at the university hospital than the non-university one; however, hospital service quality was lower than what the patients had expected. Accordingly, hospital managers and policy-makers were suggested to focus on patients to reduce gaps in service quality, to promote service quality, and to provide better healthcare services to patients.

show abstract

Section: Discussionmentioning

confidence: 92%

Hospital Service Quality Based on HEALTHQUAL Model and Trusting Nurses at Iranian University and Non-University Hospitals: A Comparative Study

Nemati

Bahreini

Pouladi

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Private hospitals provide medical care of higher quality for the patients compared to public hospitals, but at the same time, private hospitals charge higher prices to make a profit. 43 Fourth, the use of charges as a proxy to estimate costs is not free from criticism. 44,45 Finally, the sample size was small.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Cost of hospitalisation and length of stay due to hypoglycaemia in patients with diabetes mellitus: a cross-sectional study

Naser¹,

Alwafi²,

Alsairafi³

2020

Pharm Pract (Granada)

View full text Add to dashboard Cite

Objective: This study aims to estimate the length of stay and hospitalisation cost of hypoglycaemia, and to identify determinants of variation in the length of stay and hospitalisation cost among individual patients with type 1 or 2 diabetes mellitus. Methods: A cross-sectional study was conducted using inpatients records for patients with diabetes mellitus who had been hospitalised due to hypoglycaemic events in two private hospitals in Amman, Jordan between January 2009 and May 2017. All hospitalisation costs were inflated to the equivalent costs in 2017. Hospitalisation cost was estimated from the patient’s perspective in Jordanian dinars (JOD). Descriptive analyses and correlation between sociodemographic or clinical characteristics with the cost and length of stay were explored. Predictors of hypoglycaemic hospitalisation cost and length of stay were determined using logistic regression. Results: During the study period a total of 126 patients with diabetes mellitus were hospitalised due to an incident of hypoglycaemia. The mean patient age was 64.2 (SD=19.6) years; half were male. Patients admitted for hypoglycaemia stayed in hospital for a median duration of two days (IQR=2 days). The median cost of hospitalisation for hypoglycaemia was 163.2 JOD (USD 230.1) (IQR=216.3 JOD). We found that the Glasgow coma score was positively associated with length of stay (0.345, p=0.008), and older age was correlated with higher hospitalisation cost (0.207, p=0.02). Patients with a family history of diabetes had higher hospitalisation costs and longer duration of stay (0.306 and 0.275, p<0.05). In addition, being a male patient (0.394, p<0.05) and with an absence of smoking history was associated with longer duration of stay (0.456, p<0.01), but not with higher hospitalisation cost. Conclusions: Costs associated with the incidence of hypoglycaemic events are not low and constitute a large cost component of managing and treating diabetes mellitus. Male patients and patients having a family history of diabetes should receive extra care and education on the prevention of hypoglycaemic events, and a treatment de-intensification approach should be considered if necessary, so we can prevent its associated hospitalisation costs and length of stay.

show abstract

“…The quality of health services is a primary determinant for choice of health facility. Studies conducted in India, Pakistan, South Africa, Nigeria, Malawi, and Saudi Arabia have indicated that poor quality of care in public health services was a key determinant for shifting to private facilities (41)(42)(43)(44)(45)(46). There is widespread debate regarding the quality of services in private versus public facilities (29).…”

Section: Discussionmentioning

confidence: 99%

Trends in and determinants of visiting private health facilities for maternal and child health care in Nepal: Comparison of three Nepal Demographic Health Surveys, 2006, 2011, and 2016.

Adhikari

Shrestha

Satinsky

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract Background: Maternal and child health care services are available in both public and private facilities in Nepal. No study has yet looked at trends in maternal and child health service use over time in Nepal. This paper assesses trends in and determinants of visiting private health facilities for maternal and child health needs using nationally representative data from the last three successive Nepal Demographic Health Surveys (NDHS). Methods: Data from the NDHS conducted in 2006, 2011, and 2016 were used. Maternal and child health-seeking was established using data on place of antenatal care (ANC), place of delivery, and place of treatment for child diarrhoea and fever/cough. Logistic regression models were fitted to identify trends in and determinants of health-seeking at private facilities. Results: The results indicate an increase in the use of private facilities for maternal and child health care over time. Across the three survey waves, women from the highest wealth quintile had the highest odds of accessing ANC services at private health facilities (AOR=6.0, CI= 3.78 -9.52 in 2006; AOR=5.6, CI= 3.51 – 8.81 in 2011; AOR=3.0, CI= 1.53 -5.91 in 2016). Women from the highest wealth quintile (AOR=8.3 CI= 3.97 – 17.42 in 2006; AOR=7.3, CI= 3.91 – 13.54 in 2011; AOR=3.3, CI= 1.54 – 7.09 in 2016) and women with more years of schooling (AOR=1.1, CI= 1.07 – 1.16 in 2006; AOR=1.1, CI= 1.04 – 1.14 in 2011; AOR=1.2, CI= 1.17 -1.27 in 2016) were more likely to deliver in private health facilities. Likewise, children belonging to the highest wealth quintile (AOR=6.4, CI= 1.59 – 25.85 in 2006; AOR=8.0, CI= 2.43 – 26.54 in 2016) were more likely to receive diarrhoea treatment in private health facilities.Conclusions: Women are increasingly visiting private health facilities for maternal and child health care in Nepal. Household wealth quintile, and the mother’s years of schooling were the major determinants for selecting private health facilities for these services. These trends indicate the importance of collaboration between private and public health facilities in Nepal to foster a public private partnership approach in the Nepalese health care sector.

show abstract

Comparing public and private hospitals’ service quality

Cited by 32 publications

References 13 publications

Hospital Service Quality Based on HEALTHQUAL Model and Trusting Nurses at Iranian University and Non-University Hospitals: A Comparative Study

Hospital Service Quality Based on HEALTHQUAL Model and Trusting Nurses at Iranian University and Non-University Hospitals: A Comparative Study

Cost of hospitalisation and length of stay due to hypoglycaemia in patients with diabetes mellitus: a cross-sectional study

Trends in and determinants of visiting private health facilities for maternal and child health care in Nepal: Comparison of three Nepal Demographic Health Surveys, 2006, 2011, and 2016.

Contact Info

Product

Resources

About