scholarly journals Unmet dental health care needs among adults in Serbia, Survey on Income and Living Conditions 2017

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
Z Terzic-Supic ◽  
J Todorovic ◽  
K Vojvodic ◽  
P Piperac ◽  
M Santric-Milicevic
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Dental Health ◽  
Multivariate Logistic Regression Analysis ◽  
Social Characteristics ◽  
Health Care Needs ◽  
Multivariate Logistic Regression ◽  
Care Needs ◽  
Dental Health Care

Abstract Background Changes in the health insurance law in 2005 led to the changes in the organization of the provision of dental health care in Serbia. Prior to this law, dental health care was available for every resident covered by mandatory health insurance without additional out-of-pocket payments. Now the dental health care is available only for children under the age of 18, students under the age of 26, pregnant women and for emergency dental care. The aim of this study was to assess the prevalence of unmet dental health care needs among adults and to assess the factors associated with unmet dental health care needs. Methods The study was the secondary analysis of the data from the Survey on income and Living conditions in Serbia, conducted during 2017. Multivariate logistic regression analysis was used to assess the association of unmet dental health care needs and socio-demographic and socio-economic factors. Results Total of 1718/12437 (12.1%) adults reported unmet dental health care needs. The main reason reported was not being able to afford it (1014/1718, 59.0%), along with the fear of doctors or hospitals (260/1718, 15.5%). Multivariate logistic regression analysis showed the association of unmet dental health care needs and being employed (OR: 1.50, 95% CI: 1.24-1.80), unemployed (OR: 1.96, 95% CI: 1.65-2.33), having primary (OR: 1.47, 95% CI: 1.16-1.86), or secondary education (OR: 1.43, 95% CI: 1.21-1.69), being divorced (OR: 1.47, 95% CI: 1.17-1.85), having good (OR:1.44, 95% CI: 1.20- 1.74), average (OR: 2.36, 95% CI: 1.91-2.92), poor (OR: 2.29, 95%CI: 1.77-2.97), or very poor general health (OR: 2.42, 95% CI: 1.68-3.48), having limitation in daily activities (OR: 0.66, 95% CI: 0.60-0.77) and being materially deprived (OR: 1.67, 95% CI: 1.46-1.90). Conclusions The prevalence of unmet dental health care needs in high among adults in Serbia. There is an association between social characteristics and health status with unmet dental health care needs in Serbia. Key messages There is a high prevalence of unmet dental health care needs in Serbia. Unmet dental health care needs are associated with social characteristics and health status.

scholarly journals Factors associated with seeking post-abortion care among women in Guangzhou, China

2020 ◽  
Author(s):  
Hui Wang ◽  
Yan Liu ◽  
Ribo Xiong
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Public Hospitals ◽  
Multivariate Logistic Regression ◽  
Abortion Care ◽  
Post Abortion Care ◽  
Post Abortion

Abstract Background: In China, the vast majority of induced abortion is performed in public hospitals. However, post-abortion care (PAC) services are provided through the national network of family planning clinics, which are independent of the health care system. The integration of PAC services into abortion clinics in public hospitals is a new concept. This study was aimed to assess post-abortion care (PAC) utilization among abortion patients, and identify the possible factors affecting PAC uptake in Guangzhou, China. Methods: A cross-sectional survey study was conducted at the Tianhe district of Guangzhou during the period of June to September, 2018. The multivariate logistic regression analysis was used to identify the factors that influenced PAC utilization.Results: The PAC counseling rate of subjects was noted as 42.1% before left the health care facilities. Meanwhile, multivariate logistic regression analysis showed that unmarried women, women with local household registration, women perceive that fertility could return sooner after abortion and women themselves as the main decider on PAC use were significantly associated with PAC utilization. Conclusions: The utilization rate of PAC was low in Guangzhou, China. There’s an urgent need to develop high-quality PAC services. It should be improved to provide better access for migrant women. The involvement of male partners in counseling is also needed.

scholarly journals Unmet dental health care needs in Serbia

2021 ◽  
Vol 2 (2) ◽  
pp. 43-51
Author(s):  
Jovana Todorović ◽  
Nataša Popović ◽  
Pavle Piperac ◽  
Slavica Đurđević-Todorović ◽  
Zorica Terzić-Šupić
Keyword(s):  
Health Care ◽  
Health Status ◽  
Dental Health ◽  
Cross Sectional Study ◽  
Health Care Needs ◽  
Care Needs ◽  
Cross Sectional ◽  
Dental Health Care ◽  
Status Characteristics ◽  
The Republic

Aim: The aim of this study was the analysis of the social and health status characteristics of the population with unmet dental health care needs. Materials and methods: This cross-sectional study included 20,069 respondents from the Survey on Income and Living Conditions (SILC) in the Republic of Serbia in 2014. Results: Nearly every sixth citizen (16.1%) reported unmet dental health care needs. Participants between the ages of 27 and 44 years (OR: 1.48, 95% CI: 1.21 - 1.82), and between 45 and 64 years (OR: 1.49, 95% CI: 1.19 - 1.86), participants who assessed their health status as: good (OR: 1.91, 95% CI: 1.63 - 2.25), fair (OR: 3.16, 95% CI: 2.64 - 3.77), bad (OR: 3.65, 95% CI: 2.94 - 4.53), or very bad (OR: 4.22, 95% CI: 3.10 - 5.74), had a higher likelihood of reporting unmet dental health care needs. The most frequent reasons for unmet dental health care needs were financial obstacles to the accessibility of dental health care (66.6%) and fear or treatment (15.1%). Conclusion: The study found associations between unmet dental health care needs and social and health status characteristics. Health policy should adopt a multidimensional approach and eliminate barriers which restrict the accessibility of dental health care.

scholarly journals Special Children Dental Health Care Needs.. Are they Finance Proof?

2016 ◽  
Vol 02 (02) ◽  
Author(s):  
Anil Patil ◽  
Vidya Iyer ◽  
Someshwar Golgire ◽  
Anand Shigli
Keyword(s):  
Health Care ◽  
Dental Health ◽  
Health Care Needs ◽  
Care Needs ◽  
Dental Health Care ◽  
Special Children

“Patiently waiting”: a multivariate logistic regression analysis to understand waiting times

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Rossi ◽  
N R Da Re ◽  
G Forni ◽  
E Campanelli ◽  
R Balconi ◽  
...  
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Waiting Time ◽  
Waiting Times ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Priority Class ◽  
Median Delay ◽  
Class 1

Abstract Background Outpatient visits waiting time poses a significant challenge in countries facing rising health demands, particularly those that have universal access to public health care. In Italy, despite major improvements, many patients still experience extensive delays accessing specialist care. Our study describes waiting times for the 14 most critical specialist “first” visits provided by the national health care system in the Milan Health Protection Agency territory (3,48 million inhabitants) and investigates whether specific patient, prescription and hospital variables are associated to an increased risk of delay in waiting time. Methods A multivariate logistic regression analysis of the relationship between specialty, age, sex, priority class, exemption from prescription charges, hospital organization, patient region, and Hospital district was performed to investigate whether specific variables are associated to the odds ratios (OR) for having to wait more than the maximum time limit. Results Out of the 1,174,283 visits performed in 2019, 90% were provided within the maximum waiting time. Visits were provided beyond maximum time in 20% (median delay=2 days) of priority class 1 visits, 24% (median delay=7 days) of class 2, 22% (median delay=37 days) of class 3, and 4% (median delay=65 days) of class 4. All analysed variables were significantly correlated (p < 0.001) to the OR for having to wait beyond the priority class specific limit. In particular: female sex (OR = 1.074), residing outside Lombardy (OR = 0.696), class 1 priority (OR = 4.939), exemption from prescription charges (OR = 1.107), research Hospital (private: OR = 5.937, public: OR = 5.156) and ophthalmology (OR = 8.822). Conclusions Our results show that most visits were provided within the time limits. However, waiting times seem to be a major issue when assessing certain specialties, hospitals, and priority classes. This data should guide health policy makers interested in tackling the waiting time issue. Key messages This study highlights the importance of monitoring outpatient waiting times. Strategies and policies to tackle the problem of waiting times should be made upon reliable data and transparent criteria in order to meet patients’ needs.

scholarly journals Efficacy of flurbiprofen axetil for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Atsushi Kotera
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Postoperative Pain ◽  
Logistic Regression Analysis ◽  
Pain Control ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Postoperative Pain Control ◽  
Flurbiprofen Axetil ◽  
Postanesthetic Shivering

Abstract Background Postanesthetic shivering is an unpleasant adverse event in surgical patients. A nonsteroidal anti-inflammatory drug has been reported to be useful in preventing postanesthetic shivering in several previous studies. The aim of this study was to evaluate the efficacy of flurbiprofen axetil being a prodrug of a nonsteroidal anti-inflammatory drug for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries. Method This study is a retrospective observational study. I collected data from patients undergoing gynecologic laparotomy surgeries performed between October 1, 2019, and September 30, 2020, at Kumamoto City Hospital. All the patients were managed with general anesthesia with or without epidural analgesia. The administration of intravenous 50 mg flurbiprofen axetil for postoperative pain control at the end of the surgery was left to the individual anesthesiologist. The patients were divided into two groups: those who had received intravenous flurbiprofen axetil (flurbiprofen group) and those who had not received intravenous flurbiprofen axetil (non-flurbiprofen group), and I compared the frequency of postanesthetic shivering between the two groups. Additionally, the factors presumably associated with postanesthetic shivering were collected from the medical charts. Intergroup differences were assessed with the χ2 test with Yates’ correlation for continuity category variables. The Student’s t test was used to test for differences in continuous variables. Furthermore, a multivariate logistic regression analysis was performed to elucidate the relationship between the administration of flurbiprofen axetil and the incidence of PAS. Results I retrospectively examined the cases of 141 patients aged 49 ± 13 (range 21-84) years old. The overall postanesthetic shivering rate was 21.3% (30 of the 141 patients). The frequency of postanesthetic shivering in the flurbiprofen group (n = 31) was 6.5%, which was significantly lower than that in the non-flurbiprofen group (n = 110), 25.5% (p value = 0.022). A multivariate logistic regression analysis showed that administration of flurbiprofen axetil was independently associated with a reduced incidence of postanesthetic shivering (odds ratio 0.12; 95% confidence interval, 0.02-0.66, p value = 0.015). Conclusions My result suggests that intraoperative 50 mg flurbiprofen axetil administration for postoperative pain control is useful to prevent postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries.

scholarly journals The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: a prospective observational study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Takahisa Handa ◽  
Akinobu Nakamura ◽  
Aika Miya ◽  
Hiroshi Nomoto ◽  
Hiraku Kameda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Observational Study ◽  
Elderly Patients ◽  
Prospective Observational Study ◽  
Multivariate Logistic Regression Analysis ◽  
Glycemic Variability ◽  
Multivariate Logistic Regression

Abstract Background This study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes. Methods We conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%. Results In the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses. Conclusions Among elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined. Trial registration UMIN-CTR: UMIN000029993. Registered 16 November 2017

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