scholarly journals Cross-sectional analysis of factors affecting out-of-pocket healthcare expenses in Serbia

Revizor ◽  
2021 ◽  
Vol 24 (93) ◽  
pp. 17-25
Author(s):  
Milorad Stamenović
Keyword(s):  
Healthcare System ◽  
Quantitative Methods ◽  
Healthcare Services ◽  
Time Frame ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Cross Sectional Analysis ◽  
Out Of Pocket Expenses ◽  
High Level ◽  
Sectional Analysis

Out-of-pocket expenses in healthcare show the level of direct payments by individuals paying for the healthcare services that are not covered by the insurance. In the Republic of Serbia, high level of out-of-pocket expenses is present considering dominant Bismarck model of healthcare system and level of user income. Previous research shows the significant impact of the socio-economic and healthcare system indicators afecting out-of-pocket expenses. The objective is to perform a cross-sectional analysis of the economic, healthcare, and demographic variables impact on the out-of-pocket expenses. We use quantitative methods of analysis of data collected for the data time frame from 20002018. Results show a high impact of the 7 out of 13 factors we explored.

scholarly journals Factors affecting school physical education provision in England: a cross-sectional analysis

2015 ◽  
Vol 38 (2) ◽  
pp. 316-322 ◽  
Author(s):  
J.R.F. Greenfield ◽  
M. Almond ◽  
G.P. Clarke ◽  
K.L. Edwards
Keyword(s):  
Physical Education ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals Households’ satisfaction with the healthcare services rendered by a ward-based outreach team in Tshwane district, Pretoria, South Africa

2019 ◽  
Vol 61 (3) ◽  
pp. 77
Author(s):  
A. T. Masango Makgobela ◽  
J. V. Ndimande ◽  
G. Ogunbanjo ◽  
T. Bongongo ◽  
S. N. Nyalunga
Keyword(s):  
South Africa ◽  
Health Care ◽  
Healthcare System ◽  
Health Workers ◽  
Healthcare Services ◽  
P Value ◽  
Cross Sectional ◽  
Outreach Team ◽  
Level Of Satisfaction ◽  
High Level

Introduction: Households’ satisfaction is an important and commonly used indicator for measuring quality in health care. An amelioration of primary health care services at the level of households, by utilising community health workers, has led to a good healthcare system in many countries, such as Brazil. In South Africa, little is known about the satisfaction of households (HH) regarding the healthcare services they receive from ward-based outreach teams (WBOTs). A study was undertaken to determine this phenomenon.Methods: The study used a cross-sectional study design. Tshwane district had established 39 ward-based outreach teams at the time of the study and households were conveniently selected. Hence the study population was estimated to be 3 600. Using 99% confidence level and 5% confidence interval, the sample size was 660, and oversampled to 765 since all households present during the data collection were willing to be included in the survey. Data collected was captured on Microsoft Excel and analysed using SAS, version 9.2.Results: Interviews were held with members of the families, who were willing to participate. Participants’ ages ranged from 18 to 110, mean age 53.1years (SD = 19.7). The study participants included more females (74.0%), and 45.2% were single. The majority (89.8%) were unemployed. Overall satisfaction was seen in 692 participants (90.7%). Outcome of satisfaction according to sex (91.9%), age (90.7%) and employment (90.8%) was not statistically significant with p-value 0.05.Conclusions: The findings of households’ satisfaction regarding the healthcare services rendered by the ward-based outreach team in Tshwane district, Pretoria, South Africa showed a high level of satisfaction from the households. This high level of satisfaction was referred to as excellent and was not associated with sex, age or employment status. A recommendation is made to all stakeholders that the ward-based outreach team programme cover all municipal wards in the country in order to raise the level of households’ satisfaction with the healthcare system.

scholarly journals Definitions and elements of endpoints in phase III randomized trials for the treatment of COVID-19: a cross-sectional analysis of trials registered in ClinicalTrials.gov

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kentaro Sakamaki ◽  
Yukari Uemura ◽  
Yosuke Shimizu
Keyword(s):  
Clinical Trials ◽  
Sample Size ◽  
Outcome Measures ◽  
Randomized Trials ◽  
Clinical Course ◽  
Time Frame ◽  
Phase Iii ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Abstract Background There are several challenges in designing clinical trials for the treatment of novel infectious diseases, such as COVID-19. In particular, the definition of endpoints related to the severity, time frame, and clinical course remains unclear. Therefore, we conducted a cross-sectional analysis of phase III randomized trials for COVID-19 registered at ClinicalTrials.gov. Methods We collected the data from ClinicalTrials.gov on March 31, 2021, by specifying the following search conditions under Advanced Search: Condition or disease: (COVID-19) OR (SARS-CoV-2); Study type: Interventional Studies; Study Results: All Studies; Recruitment: Not yet recruiting, Recruiting, Enrolling by invitation, Active, Not recruiting, Suspended, Completed; Sex: All; and Phase: Phase 3. From the downloaded search results, we selected trials that met the following criteria: Primary Purpose: Treatment; Allocation: Randomized. We manually transcribed information not included in the downloaded file, such as Primary Outcome Measures, Secondary Outcome Measures, Time Frame, and Inclusion Criteria. In the analysis, we examined primary and secondary endpoints in trials with severe and non-severe patients, including the types of endpoints, time frame, clinical course, and sample size. Results A total of 406 trials were included in the analysis. The median numbers of endpoints in trials with severe and non-severe patients were 9 and 7, respectively. Approximately 25% of the trials used multiple primary endpoints. Regardless of the type of endpoint, the time frames were longer in the trials with severe patients than in the trials with non-severe patients. In the evaluation of the clinical course, worsening was often considered in binary endpoints, and improvement was considered in time-to-event endpoints. The sample size was the largest in clinical trials using binary endpoints. Conclusions Endpoints can differ with respect to severity, and the clinical course and time frame are important for defining endpoints. This study provides information that can facilitate the achievement of a consensus for the endpoints in evaluating COVID-19 treatments.

Evaluation of the prevalence and nutritional and social determinants of overweight in a population of schoolchildren: a cross-sectional analysis of 5,037 children

2012 ◽  
Vol 58 (4) ◽  
pp. 472-476 ◽  
Author(s):  
Caroline Filla Rosaneli ◽  
Flavia Auler ◽  
Carla Barreto Manfrinato ◽  
Claudine Filla Rosaneli ◽  
Caroline Sganzerla ◽  
...  
Keyword(s):  
Social Determinants ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Quantitative Clinical Characteristics of 53 Patients with MPS VII: A Cross-Sectional Analysis

2017 ◽  
Vol 48 (S 01) ◽  
pp. S1-S45
Author(s):  
M. Zielonka ◽  
S. Garbade ◽  
S. Kölker ◽  
G. Hoffmann ◽  
M. Ries
Keyword(s):  
Clinical Characteristics ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Mps Vii ◽  
Sectional Analysis

Fracture prevalence in children 0-19 years-old in Mexico: A 10-year cross-sectional analysis

2019 ◽  
Author(s):  
Patricia Clark ◽  
Annarella Barbato ◽  
Miguel Angel Guagnelli ◽  
Jose Alberto Rascon ◽  
Edgar Denova ◽  
...  
Keyword(s):  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Fracture Prevalence ◽  
Sectional Analysis
Sign in / Sign up

Export Citation Format

Share Document