scholarly journals Applying Logistic Regression on Determinants of Antenatal Health Care Usage of Women’s at Hossana town, in Bobicho Kebele

2020 ◽  
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Health Care Usage

scholarly journals Catastrophic Household Expenditure Associated with Out-of-Pocket Healthcare Payments in Spain

2021 ◽  
Vol 18 (3) ◽  
pp. 932
Author(s):  
Samuel López-López ◽  
Raúl del Pozo-Rubio ◽  
Marta Ortega-Ortega ◽  
Francisco Escribano-Sotos
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Regression Models ◽  
Financial Risk ◽  
Household Expenditure ◽  
Financial Protection ◽  
Logistic Regression Models ◽  
Ordered Logistic Regression ◽  
Out Of Pocket Payments ◽  
The Subject

Background. The financial effect of households’ out-of-pocket payments (OOP) on access and use of health systems has been extensively studied in the literature, especially in emerging or developing countries. However, it has been the subject of little research in European countries, and is almost nonexistent after the financial crisis of 2008. The aim of the work is to analyze the incidence and intensity of financial catastrophism derived from Spanish households’ out-of-pocket payments associated with health care during the period 2008–2015. Methods. The Household Budget Survey was used and catastrophic measures were estimated, classifying the households into those above the threshold of catastrophe versus below. Three ordered logistic regression models and margins effects were estimated. Results. The results reveal that, in 2008, 4.42% of Spanish households dedicated more than 40% of their income to financing out-of-pocket payments in health, with an average annual gap of EUR 259.84 (DE: EUR 2431.55), which in overall terms amounts to EUR 3939.44 million (0.36% of GDP). Conclusion. The findings of this study reveal the existence of catastrophic households resulting from OOP payments associated with health care in Spain and the need to design financial protection policies against the financial risk derived from facing these types of costs.

scholarly journals Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice

2021 ◽  
Vol 1 (1) ◽  
pp. 6-17
Author(s):  
Andrija Pavlovic ◽  
Nina Rajovic ◽  
Jasmina Pavlovic Stojanovic ◽  
Debora Akinyombo ◽  
Milica Ugljesic ◽  
...  
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Daily Practice ◽  
Ease Of Use ◽  
Future Research ◽  
Health Record ◽  
Cross Sectional ◽  
Electronic Health

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.

scholarly journals OS3.6 Prediagnostic symptoms and signs of adult glioma: the patients’ view

2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii9-iii10
Author(s):  
M C M Peeters ◽  
L Dirven ◽  
J A F Koekkoek ◽  
E G Gortmaker ◽  
L Fritz ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Professionals ◽  
High Grade Glioma ◽  
Median Number ◽  
Low Grade ◽  
High Grade ◽  
Health Care Usage ◽  
Patients Experience ◽  
Symptoms And Signs ◽  
Chronic Complaints

Abstract BACKGROUND Little is known about the symptoms and signs glioma patients experience in the year before diagnosis, either or not resulting in health care usage. The objective of this study was to determine the incidence of several symptoms and signs glioma patients experienced in the year prior to diagnosis, as well as visits to a general practitioner (GP) related to these issues. MATERIAL AND METHODS This was a cross-sectional study, including adults diagnosed with a glioma <12 months ago. Patients were asked to complete a 30-item study-specific questionnaire, if possible with input of a proxy, focusing on symptoms and signs they experienced in the 12 months before diagnosis. For each indicated symptom/sign, patients were asked whether they consulted the GP for this issue. In addition, the presence of comorbidity and other chronic complaints were assessed, as well as consulted health care professionals (HCPs) in the year prior to diagnosis. The statistical analyses were corrected for multiple testing. RESULTS Between July 2016 and March 2019, 58 patients completed the questionnaires, 54 (93%) with input of a proxy. Forty-one (72%) patients were men, with a median age of 60 years (range 43–78), and the median time since diagnosis was 4 months (range 1–12). Forty (69%) patients had a comorbidity or chronic complaint, and the median number of consulted HCPs was 2 (range 0–8). The median number of symptoms/signs experienced in the year before diagnosis was 8 (range 2–19) in low-grade and 5 (range 0–24) in high-grade glioma (p=0.258). The five most frequently mentioned problems were fatigue (34/58, 59%), mental tiredness (28/58, 48%), sleeping disorder (23/58, 40%), headache (22/58, 38%) and stress (20/58, 34%), with no differences between low- and high grade glioma. Twenty-five (43%) patients had visited the GP with at least one issue. We found that patients who did consult their GP reported significantly more often muscle weakness (11 vs 3, p=0.002), paralysis in for example a hand or leg (10 vs 3, p=0.006), or a change in consciousness (9 vs 3, p=0.013) compared to those that did not consult the GP. However, they did not differ with respect to the number of symptoms (median 7 vs 5), comorbidities and chronic complaints (median 1 vs 1), or overall health care usage (median 3 vs 2). CONCLUSION Glioma patients experience a range of problems in the year prior to diagnosis, but patients who consult the GP report significantly more often neurological problems.

scholarly journals Investigation of some factors associated with utilization of maternal health care services by adolescent mothers in Tanzania

2021 ◽  
Vol 47 (2) ◽  
pp. 847-861
Author(s):  
Elia Magwaja ◽  
Jacqueline Minja ◽  
Majige Selemani Budeba ◽  
Rocky R.J. Akarro
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Maternal Health ◽  
Health Facility ◽  
Adolescent Mothers ◽  
Maternal Health Care ◽  
Adolescent Mother ◽  
Cross Sectional ◽  
Safe Delivery ◽  
Factors Associated

This study examined some factors associated with the utilization of maternal health care servicesby adolescent mothers (15-19 years) in Tanzania in order to provide advice accordingly. The studyused cross-sectional study of adolescent mothers aged 15-19 years using Demographic HealthSurvey and Malaria indicator Survey 2015/16 data. The dependent variables were number ofantenatal care visits, the place where an adolescent mother delivered and post-natal checkup(adolescent mother’s health checking after being discharged or after a home delivery). Theindependent variables were birth order, education level of a mother, marital status of a mother,media exposure, wealth index, distance to health facility. Multiple binary logistic regression wasused to examine an association between each dependent variable and their respective independentvariables. Data was analyzed using IBM SPSS statistics and STATA. This study used 550adolescent mothers in the analysis. Majority of the adolescent mothers had less than four AntenatalCare (ANC) visits (53.5%), while 68.5% of adolescent mothers delivered at a health facility.Adolescent mothers with two or more children had less odds of having at least four ANCscompared to those with one child, whereas adolescent mothers with at least secondary educationhad greater odds of delivering at a health facility compared to those who had no education.Adolescent mothers who had at least four antenatal care visits and those who are married hadgreater odds of checking their health after being discharged compared to adolescent mothers whohad less than 4 ANCs and single adolescent mothers. It was advised that provision of maternaleducation to young girls on the importance of safe delivery and health checking after delivery isvery important to reduce adolescent maternal morbidity and mortality in the country. Keywords: Adolescent; Maternal Health; Logistic regression; Chi-square

scholarly journals Factors Influence Diabetes Mellitus Control at a Primary Health Care Facility in Durban, South Africa

2021 ◽  
pp. 1-8
Author(s):  
Akm Monjurul Hoque ◽  
Akm Monjurul Hoque ◽  
Somaya Buckus ◽  
Maariyah Hoque ◽  
ME Hoque
Keyword(s):  
Diabetes Mellitus ◽  
South Africa ◽  
Health Care ◽  
Logistic Regression ◽  
Primary Health Care ◽  
Glycaemic Control ◽  
Blood Sugar ◽  
Health Care Facilities ◽  
Diabetes Control ◽  
Primary Health

Background: Type-2 diabetes mellitus, a non-communicable disease contributes significantly to morbidity and mortality in South Africa. It is considered a silent epidemic in certain countries in the world with the incidence expected to rapidly escalate due to ageing of the population. Little is known about the treatment outcome from Primary Health Care facilities in SA. The study estimated control and determinants of diabetes control among rural black patients attended a PHC facility. Method: A cross-sectional prospective design was adopted. Chi-square test was carried out to find significant association between dependent and independent variables. Forward stepwise logistic regression was performed to determine the significant predictor for diabetes control. Two-sided statistical tests were performed at 0.05 level of significance. Result: A total of 240 DM patients were recruited and (68.7%) of them had HbA1c level measured) and only 49 (29.7%) were found with glycaemic control. Logistic regression analysis showed that patients those read newspaper daily or almost daily were almost three times (OR=2.6) more likely to have control. Patients those measured the blood sugar at home were 4.4 times more likely to have their diabetes controlled. It was found that knowing normal blood sugar had four times more chances of controlling their diabetes than those did not know. Duration of DM treatment (5-9 years) was 60% less likely to have DM control that those had 10 or more years of DM treatment (p<0.05). Conclusion: Glycaemic control of DM was poor and identified several factors towards diabetes control among DM patient. Training and education to healthcare workers and DM patients may lead to improve DM control.

scholarly journals Analysis Of Hospital Health Care, Health Facilities Level I Of BPJS Patients Satisfaction In Sikumana Public Health Centre Kupang

2020 ◽  
Vol 3 (2) ◽  
pp. 544-552
Author(s):  
Oktaviana Manek
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Patient Satisfaction ◽  
Data Analysis ◽  
Health Center ◽  
Community Health Center ◽  
P Value ◽  
Research Subjects ◽  
Good Service ◽  
Level I

Good health care is a community need and is often a measure of development success. The purpose of this study was to analyze inpatient health care service level I to the satisfaction of BPJS patients in the Sikumana Health Center in Kupang City. The study was conducted at the Sikumana Community Health Center in Kupang City from 15 October to 10 November 2019. The research design used was a qualitative study using a cross sectional approach. The independent variable is health service and the dependent variable is patient satisfaction. The population of all BPJS patients in the Sikumana Kupang health center in the January-August period was 230 respondents. The sampling technique used was Simple Random Sampling with a sample of 146 respondents data analysis techniques using the Logistic regression test. The results of the study of 146 respondents the majority (56.2%) of respondents were very satisfied with the service of nurses, there were 82 research subjects, the majority (58.9%) of respondents were very satisfied with the service of doctors namely there were 86 research subjects and the majority (56, 2%) respondents are very Satisfied with Nurse services, there are 82 research subjects, almost half (45.9%) respondents get good service based on Tangibels, almost half (43.2%) respondents get good service based on reliability, most ( 54.1%) respondents get good service based on Responsiveness, almost half (46.6%) respondents get good service based on Assurance and almost half (44.5%) respondents get good service based on Empathy. Logistic regression data analysis concluded that BPJS patient satisfaction based on health services at the Community Health Center in Sikumana, Kupang, obtained a p value of 0.002 because p value <α (0.05) It is expected that research sites will improve the cleanliness of the ward each morning before the examination and in the afternoon, especially the bathroom of the patient and the staff must be diligent in controlling hygiene

Continuity of Primary Care Clinician in Early Childhood

PEDIATRICS ◽  
2004 ◽  
Vol 113 (Supplement_5) ◽  
pp. 1917-1925 ◽  
Author(s):  
Moira Inkelas ◽  
Mark A. Schuster ◽  
Lynn M. Olson ◽  
Christina H. Park ◽  
Neal Halfon
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Child Care ◽  
Managed Care ◽  
Young Children ◽  
Care Setting ◽  
The United States ◽  
Health Care Setting ◽  
Well Child Care ◽  
Publicly Insured

Objectives. This study uses the first national data on well-child care for young children to 1) assess how many children have a specific clinician for well-child care; 2) identify the health insurance, health care setting, and child and family determinants of having a specific clinician; and 3) assess how parents choose pediatric clinicians. Methods. Data from the National Survey of Early Childhood Health (NSECH), a nationally representative survey of health care quality for young children fielded by the National Center for Health Statistics in 2000, were used to describe well-child care settings for children aged 4 to 35 months. Parents reported the child’s usual setting of well-child care, whether their child has a specific clinician for well-child care, and selection method for those with a clinician. Bivariate and logistic regression analyses are used to identify determinants of having a specific clinician and of provider selection method, including health care setting, insurance, managed care, and child and family characteristics. Results. Nearly all young children aged 4 to 35 months in the United States (98%) have a regular setting, but only 46% have a specific clinician for well-child care. The proportion of young children who have a single clinician is highest among privately insured children (51%) and lowest among publicly insured children (37%) and uninsured children (28%). In multivariate logistic regression including health care and sociodemographic factors, odds of having a specific clinician vary little by health care setting. Odds are lower for children who are publicly insured (odds ratio [OR]: 0.7; 95% confidence interval [CI]: 0.45–0.97) and for Hispanic children with less acculturated parents (OR: 0.6; 95% CI: 0.39–0.91). Odds are higher for children in a health plan with gatekeeping requirements (OR: 1.4; 95% CI: 1.02–1.88). Approximately 13% of young children with a specific clinician were assigned to that provider. Assignment rather than parent choice is more frequent for children who are publicly insured, in managed care, cared for in a community health center/public clinic, Hispanic, and of lower income and whose mother has lower education. In multivariate logistic regression, only lack of health insurance, care in a community health center, and managed care participation are associated with lack of choice. Conclusions. Anticipatory guidance is the foundation of health supervision visits and may be most effective when there is a continuous relationship between the pediatric provider and the parent. Only half of young children in the United States are reported to have a specific clinician for well-child care. Low rates of continuity are found across health care settings. Furthermore, not all parents of children with a continuous relationship exercised choice, particularly among children in safety net health care settings. These provisional findings on a new measure of primary care continuity for children raise important questions about the prevalence and determinants of continuity.

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