New Rural Cooperative Medical Scheme and Its Effects on the Utilization of Healthcare Services

Author(s):  
Xinxin Ma
2020 ◽  
Vol 10 (1) ◽  
pp. 35-44
Author(s):  
Fausiah Fausiah

The number of inpatient visits in RSU Anutapura Palu, where in 2015 inpatient visits of 5,640, then in 2016 patient visits decreased to 5,451, in 2017 also decreased to 3,999 and in 2018 also decreased Drastic to 1,146 patient visits. This research aims to determine the utilization of health services in patients in general hospitalization in RSU Anutapura Palu. This type of research is quantitative descriptive. Research was conducted from May-June 2019. The population in the study is a visitor (number of hospitalizations) at the General Hospital (RSU) Anutapura Palu. In this case the people who use health services in the General Hospital (RSU) Anutapura Palu recorded as many as 1,146 visitors (patients) in the year 2018. Primary data collection is through questionnaires and secondary data through the study of patient record documents and other supporting documents. The utilization of health services in patients in general hospitalization in RSU Anutapura Palu is well from the aspects of health beliefs, abilities and needs. RSU Anutapura Palu is expected to be able to improve the promotion of health services so that people use the health services provided.  


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sajad Vahedi ◽  
Amin Torabipour ◽  
Amirhossein Takian ◽  
Saeed Mohammadpur ◽  
Alireza Olyaeemanesh ◽  
...  

Abstract Background Unmet need is a critical indicator of access to healthcare services. Despite concrete evidence about unmet need in Iran’s health system, no recent evidence of this negative outcome is available. This study aimed to measure the subjective unmet need (SUN), the factors associated with it and various reasons behind it in Iran. Methods We used the data of 13,005 respondents over the age of 15 from the Iranian Utilization of Healthcare Services Survey in 2016. SUN was defined as citizens whose needs were not sought through formal healthcare services, while they did not show a history of self-medication. The reasons for SUN were categorized into availability, accessibility, responsibility and acceptability of the health system. The multivariable logistic regression was used to determine significant predictors of SUN and associated major reasons. Results About 17% of the respondents (N = 2217) had unmet need for outpatient services. Nearly 40% of the respondents chose only accessibility, 4% selected only availability, 78% chose only responsibility, and 13% selected only acceptability as the main reasons for their unmet need. Higher outpatient needs was the only factor that significantly increased SUN, responsibility-related SUN and acceptability-related SUN. Low education was associated with higher SUN and responsibility-related SUN, while it could also reduce acceptability-related SUN. While SUN and responsibility-related SUN were prevalent among lower economic quintiles, having a complementary insurance was associated with decreased SUN and responsibility-related SUN. The people with basic insurance had lower chances to face with responsibility-related SUN, while employed individuals were at risk to experience SUN. Although the middle-aged group had higher odds to experience SUN, the responsibility-related SUN were prevalent among elderly, while higher age groups had significant chance to be exposed to acceptability-related SUN. Conclusion It seems that Iran is still suffering from unmet need for outpatient services, most of which emerges from its health system performance. The majority of the unmet health needs could be addressed through improving financial as well as organizational policies. Special attention is needed to address the unmet need among individuals with poor health status.


2021 ◽  
Author(s):  
Nayan Jyoti Nath ◽  
Bedanga Talukdar ◽  
Tanu Shukla ◽  
Sangeeta Sharma

Abstract Background Regardless of government efforts toward ameliorating easy access and utilization of healthcare services, the disparity in Maternal Mortality Rate (MMR) is significantly higher across states of India. Post-Sustainable Development Goals (SDGs), equity in healthcare largely remain in the health policy discourse. The policy implementation's effectiveness remained confined to the central geographical location, remotely reaching the peripheral region. The study seeks to assess socio-demographic and household wealth's effect on the access and utilization of healthcare services among women. A cross-sectional study was conducted among 355 women aged 15–49 years in three Indian districts of Assam that share an international border with Bangladesh. Results The study's findings reported that utilization and accessibility are primarily influenced by households' wealth and women's age. Education qualification has no significant effect on healthcare utilization. Younger women from wealthier households are more likely to utilize government healthcare services in India's borderline regions. Conclusion Besides educating women, the availability of healthcare resources and empowering the livelihood resources in the peripheral region should be prioritized. In these fragile areas, efforts to empower women and their families to seek healthcare should be strengthened, which shall enhance well-being.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S454-S454
Author(s):  
Neil Kamdar ◽  
Elham Mahmoudi

Abstract There exists lack of evidence regarding incremental post-discharge cost and utilization of healthcare services for older adults with Alzheimer’s and dementia (AD). We quantified episode payments associated with AD vs. non-AD 30 days after medical or surgical procedures. We utilized administrative claims between January 2012 and June 2017 from the Michigan Value Collaborative (MVC) across 31 different medical and surgical services. We identified all patients with any AD diagnosis code throughout their enrollment using ICD-9-CM, ICD-10-CM codes. We price standardized 30-day episode payments and split them based on patient setting. Payments were risk adjusted and winsorized at the 99th /1st percentile. Propensity score matching using calipers without replacement adjusted for clinically relevant surgical and medical procedures, HCCs, insurance type, and age to control for selection bias. We identified 66,676 AD episodes and 656,235 non-AD episodes. After propensity score matching, there were 58,485 AD and non-AD episodes with significant differences in total episode payments of ($22,378 vs. $19,595, 95% CI Diff: ($2,658, $2,910)). Post-acute care and readmission payments were significant ($4,561 vs. $3,272, 95% CI Diff: ($1,235, $1,342)) and ($1,807 vs. $1,165, 95% CI Diff: ($595, $691)), respectively. AD episodes had a higher readmission rate (21.6% vs. 14.8%, p<0.0001). County variation in payments for AD episodes was substantial (Median: $4,370, Range: $3,881). AD patients are at higher risk of readmission and more resource intensive to hospitals and health systems. Examining drivers of post-discharge cost variation can influence practice pattern changes in management of AD patients.


2013 ◽  
Vol 16 (7) ◽  
pp. 888-896 ◽  
Author(s):  
Chris M. Kozma ◽  
Terra Slaton ◽  
Andy Paris ◽  
Eric T. Edgell

2019 ◽  
Vol 7 (4) ◽  
pp. 61 ◽  
Author(s):  
Robyn Clark ◽  
Jonathon Foote ◽  
Vincent Versace ◽  
Alex Brown ◽  
Mark Daniel ◽  
...  

The aim of this study was to investigate the impact of bedside discharge education on activity levels and healthcare utilization for patients with acute coronary syndrome (ACS) in the first 30 days post-discharge. Knowledge recall and objective activity and location data were collected by global positioning systems (GPS). Participants were asked to carry the tracking applications (apps) for 30–90 days. Eighteen participants were recruited (6 metropolitan 12 rural) 61% ST elevation myocardial infarction (STEMI), mean age 55 years, 83% male. Recall of discharge education included knowledge of diagnosis (recall = 100%), procedures (e.g., angiogram = 40%), and comorbidities (e.g., hypertension = 60%, diabetes = 100%). In the first 30 days post-discharge, median steps per day was 2506 (standard deviation (SD) ± 369) steps (one participant completed 10,000 steps), 62% visited a general practitioner (GP) 16% attended cardiac rehabilitation, 16% visited a cardiologist, 72% a pharmacist, 27% visited the emergency department for cardiac event, and 61% a pathology service (blood tests). Adherence to using the activity tracking apps was 87%. Managing Big Data from the GPS and physical activity tracking apps was a challenge with over 300,000 lines of raw data cleaned to 90,000 data points for analysis. This study was an example of the application of objective data from the real world to help understand post-ACS discharge patient activity. Rates of access to services in the first 30 days continue to be of concern.


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