Waiting Time of Outpatient Laboratory Service for Health Insurance Patients at Pertamina Central Hospital, Jakarta

Author(s):  
Tiara Bunga Melati Jelita ◽  
◽  
Pujiyanto Pujiyanto ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. 114-121
Author(s):  
Betti Rosita ◽  
Ulfa Khairani

Hospital laboratory services is one of the activities in hospitals that support quality health services. One indicator of the success of health services in the field of clinical pathology laboratory services is the waiting time for laboratory services. The standard set for laboratory service outcome waiting time is ≤ 140 minutes for blood chemistry and routine blood. This research analyzed the service time of outpatient laboratory that conducted hematology and clinical chemistry examination in the laboratory of Pasaman Barat Hospital. This research is a type of descriptive analytic research that is quantitative and supported by qualitative using cross sectional approach. The result of the research showed that laboratory service time at RSUD Pasaman Barat fulfilled the standard (≤ 140 minutes) for hematology examination 33.94 minutes, clinical chemistry 83.92 minutes, hematology and clinical chemistry 98 minutes. Based on the results of this study, the stages that contribute to the length of time laboratory services for hematological examination lies in the pre analytical stage, for clinical chemistry examination is located at the analytical stage, as well as for hematology and clinical chemistry examination lies in the analytic stage as well as the factors that affect the length of time laboratory services are human resources that is in the ability of officers and infrastructure facilities


2020 ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract BackgroundResponsiveness has become an important health system performance indicator in evaluating the ability of health care systems to meet patients’ expectations. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania and to explore the association of health insurance (HI) with responsiveness in this population. MethodsA community-based cross-sectional study was conducted in 2017 where a pre-tested household survey, administered to the elderly (60 + years) living in Igunga and Nzega districts, was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and 12 months were selected. Responsiveness was measured based on the short version of the World Health Organization (WHO) multi-country responsiveness survey study, which included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance adjusted for sociodemographic factors.ResultsA total of 1453 and 744 elderly, of whom 50.1% and 63% had health insurance, used outpatient and inpatient health services, respectively. All domains were rated relatively highly but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (−1; 95% CI: −1.45, −0.45) and inpatient (−2; 95% CI: −2.69, −1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked poorly. Further research is necessary to reveal the reasons for the lower responsiveness noted among insured elderly. A continuous monitoring of health care system responsiveness is recommended.


2020 ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract Introduction Responsiveness has become an important health systems performance indicator in evaluating the ability of the health care systems to meet the expectations of the patients. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania, in order to contribute with relevant knowledge to improve the performance of the health care system among the elderly in the country. Methods A community-based cross-sectional study was conducted in 2017 where a pre-tested household survey administered to elderly (60 +) living in Igunga and Nzega districts was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and twelve months were selected. Responsiveness was measured based on the WHO-SAGE questionnaire that included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance and socio-demographic factors.Results A total of 1453 and 744 elderly, of whom 50.1% and 63% had health insurance, used the outpatient and inpatient health services respectively. All the different domains were rated relatively high but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (-1; 95% CI: -1.45, -0.45) and inpatient (-2; 95% CI: -2.69, -1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked low. Further research is necessary to reveal the reasons for the lower responsiveness among insured elderly. A continuous monitoring of the health care system responsiveness is recommended.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract Background Responsiveness has become an important health system performance indicator in evaluating the ability of health care systems to meet patients’ expectations. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania and to explore the association of health insurance (HI) with responsiveness in this population. Methods A community-based cross-sectional study was conducted in 2017 where a pre-tested household survey, administered to the elderly (60 + years) living in Igunga and Nzega districts, was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and 12 months were selected. Responsiveness was measured based on the short version of the World Health Organization (WHO) multi-country responsiveness survey study, which included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance adjusted for sociodemographic factors. Results A total of 1453 and 744 elderly, of whom 50.1 and 63% had health insurance, used outpatient and inpatient health services, respectively. All domains were rated relatively highly but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (− 1; 95% CI: − 1.45, − 0.45) and inpatient (− 2; 95% CI: − 2.69, − 1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked poorly. Further research is necessary to reveal the reasons for the lower responsiveness noted among insured elderly. A continuous monitoring of health care system responsiveness is recommended.


F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 454
Author(s):  
Tho Dinh Tran ◽  
Uy Van Nguyen ◽  
Vuong Minh Nong ◽  
Bach Xuan Tran

Background: Patient waiting time is considered as a crucial parameter in the assessment of healthcare quality and patients’ satisfaction towards healthcare services. Data concerning this has remained limited in Vietnam. Thus, this study aims to assess patient waiting time in the outpatient clinic in Viet Duc Hospital (Hanoi, Vietnam) in order to enable stakeholders to inform evidence-based interventions to improve the quality of healthcare services. Methods: A cross-sectional study was conducted from June 2014 to June 2015 in the outpatient clinic at Viet Duc Hospital. Waiting time stratified by years (2014 and 2015), months of the year, weekdays, and hours of the day were extracted from Hospital Management software and carefully calculated. Stata 12.0 was employed to analyze data, including the average time (M± SD), frequencies and percentage (%). Results: There was a total of 137,881 patients involved in the study. The average waiting time from registration to preliminary diagnosis in 2014 was 50.41 minutes, and in 2015 was 42.05 minutes. A longer waiting time was recorded in the morning and in those having health insurance. Conclusions: Our results provided evidence that despite the decrease of waiting time from 2014 to 2015, waiting time was much higher among patients having health insurance compared to their counterparts. The findings suggest that human resources promotion and distribution should be emphasized in outpatient clinics and health insurance-related administrative procedures should be simplified.


Author(s):  
Tuan Bao Huynh ◽  
Linh Le Khanh Pham ◽  
Nhut Minh Tran

Lean is widely applied in manufacturing and service sectors. Lean's contribution to the healthcare sector is significant study in reducing medical costs and increasing customer satisfaction. Excessive overcrowding and overloading in some units such as: emergency unit, endoscopy unit, imaging unit, inpatient ward, pharmacy, etc. are major problems. Of which, pharmacy is the unit where the outpatients to receive the medicine, for payment progressing and receive medication order from other units. It is a bad experience and being uncomfortable to the patient to spend more time to receive the medication after a long way of many evaluations. Moreover than that, crosscontamination may cause from different patients once many patients are gathering at one place. Therefore, overcoming and overcrowding at the Pharmacy should be a prioritied solving. The topic “Lean application for the Pharmcy in Medication Administration to outpatients who have Health Insurance at Hoan My SaiGon Hospital” will improve on waiting time and provide an efficient healthcare service to the patients. This article demonstrates on DMAIC progressing and how to improve on waiting time for the outpatient who has Health Inurance at the Pharmacy of Hoan My Sai Gon General Hospital. The article will be included minitab software to analyze data and tools in Lean Six Sigma in the DMAIC progressing (Define, Measure, Analyze, Improve, Control).


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Mecthilde Mukangendo ◽  
Manasse Nzayirambaho ◽  
Regis Hitimana ◽  
Assumpta Yamuragiye

Background. Community-based health insurance (CBHI) schemes are an emerging mechanism for providing financial protection against health-related poverty. In Rwanda, CBHI is being implemented across the country, and it is based on four socioeconomic categories of the “Ubudehe system”: the premiums of the first category are fully subsidized by government, the second and third category members pay 3000 frw, and the fourth category members pay 7000 frw as premium. However, low adherence of community to the scheme since 2011 has not been sufficiently studied. Objective. This study aimed at determining the factors contributing to low adherence to the CBHI in rural Nyanza district, southern Rwanda. Methodology. A cross-sectional study was conducted in nine health centers in rural Nyanza district from May 2017 to June 2017. A sample size of 495 outpatients enrolled in CBHI or not enrolled in the CBHI scheme was calculated based on 5% margin of error and a 95% confidence interval. Logistic regression was used to identify the determinants of low adherence to CBHI. Results. The study revealed that there was a significant association between long waiting time to be seen by a medical care provider and between health care service provision and low adherence to the CBHI scheme (P value < 0.019) (CI: 0.09107 to 0.80323). The estimates showed that premium not affordable (P value < 0.050) (CI: 0.94119 to 9.8788) and inconvenient model of premium payment (P value < 0.001) (CI: 0.16814 to 0.59828) are significantly associated with low adherence to the CBHI scheme. There was evidence that the socioeconomic status as measured by the category of Ubudehe (P value < 0.005) (CI: 1.4685 to 8.93406) increases low adherence to the CBHI scheme. Conclusion. This study concludes that belonging to the second category of the Ubudehe system, long waiting time to be seen by a medical care provider and between services, premium not affordable, and inconvenient model of premium payment were significant predictors of low adherence to CBHI scheme.


Author(s):  
Susan Lee ◽  
Sophie E. Gross ◽  
Holger Pfaff ◽  
Antje Dresen

Although the relationship between health insurance and waiting time has been established in the ambulatory sector in Germany, research in the inpatient sector is limited. This study aims to contribute to previous work through analyzing differences in perceived waiting time by health insurance type during the inpatient stays of patients with breast cancer in Germany. This study utilizes cross-sectional data from 2017 of patients with breast cancer (N = 4626) who underwent primary breast cancer surgery in a certified breast care center in Germany. Results from multilevel logistic regression models indicate a significant effect of health insurance status on perceived waiting time, net of other relevant factors (patient’s sociodemographic background, Union for International Cancer Control stage, grading, self-reported and classified health, type of surgery, and chemotherapy). Patients with statutory insurance were significantly more likely than privately insured patients to report long waiting times for examinations/procedures, discharge, and to speak with the physician. There were no significant differences in waiting time for nursing staff between private and statutory insurance holders. Results align with previous findings in the ambulatory sector and suggest a private health insurance advantage, with private patients receiving priority to some health care services. Disparities in health care accessibility and quality need to continue to be addressed and discussed, as well as the impact of health insurance type on other indicators of health.


2020 ◽  
Vol 62 (1) ◽  
Author(s):  
Văn Dần Trần ◽  
Việt Dũng Trương

Study was conducted by cross-sectional description design on a group of 309 patients treated in the Department of Physiotherapy and Rehabilitation, using modified questionnaires of the Ministry of Health. The results showed that: The satisfaction rate in terms of waiting time to be served is 55.7%. The satisfaction rate in terms of skills and attitudes of health workers is 57.6%. The satisfaction rate in terms of facilities and departmental organization is the lowest: 8.7%. - About Age: tends to be younger group (under 35) having higher satisfaction rate than the older group in terms of waiting time, skills, attitudes of health workers, and hospital facilities. - Regarding the status of being covered by health insurance, there is a fairly clear rule that patients with partial health insurance payments will be more satisfied than those who do not - Regarding the debt situation when being treated at the hospital, it was found that the group that had to borrow in debt was more satisfied than the group who did not. Conclusion: Patients are satisfied with different hospital services, highest with financial transparency, and lowest in facilities. The factors of age, gender, paid for and borrowed by health insurance are related to patient satisfaction. Satisfaction rate for financial transparency and health insurance is the highest: 69.9%. The rate of satisfaction of service quality is: 42%. Factors related to satisfaction are not the same depending on age, gender, status of being paid by health insurance and ability to pay hospital fees or having to borrow debts of patients: - Regarding gender, there is a tendency for women to be more satisfied than men in terms of waiting time, skills, attitudes of medical staff and hospital facilities.


Author(s):  
Sailendra Thapa ◽  
Puspa Acharya ◽  
Durga Khadka Mishra

<p class="abstract"><strong>Background:</strong> Out of Pocket Expenditure has always been a primary means of financing health care service in Nepal. National Health Insurance Scheme ensures universal health coverage by addressing the unregulated out-of-pocket spending and providing quality of health service.</p><p class="abstract"><strong>Methods:</strong> A descriptive cross-sectional study was conducted among the enrollees of the National Health Insurance Scheme (NHIS) in Bharatpur Metropolitan City of Chitwan district. Focused Group Discussions were conducted among enrollees to assess the perception towards National Health Insurance Scheme. The qualitative data were analyzed as thematic analysis technique.  </p><p class="abstract"><strong>Results:</strong> Perception towards National Health Insurance Scheme was categorized as perceived quality of care, perceived benefit and provider’s behavior. Respondents were fully satisfied with the premium charge. Availability of drugs was improved but the waiting time and the process of registration was lengthy and full of jargons. Most of the participants perceived that due to less number of service providers or due to inability of allocating separate provider for ensured persons, the consultation time was very less which further affects the quality of care. Enrollment Assistants were considered as primary source of information regarding the NHIS.</p><p class="abstract"><strong>Conclusions:</strong> Long waiting time, difficulty during registration and less number of service providers remain challenge to receive quality of care under NHIS. Participants perceived that the benefit package under affordable premium charge is in favor of them. Addressing these factors in expansion of this program in other district might leads for success of this scheme.</p><p align="center"> </p>


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