Ordinal Logistic Regression Analysis in Determining Factors Associated with Socioeconomic Status of Household in Tepi Town, Southwest Ethiopia

Socio-demographic and infrastructural variables influencing maternal risk concentration among ever-married women of reproductive age in rural West Bengal, India

BACKGROUND

The risk of a woman dying as a result of pregnancy or childbirth during her lifetime is about one in six in the poorest parts of the world.

OBJECTIVES

The present study aims to determine prevalence of maternal risk and the influencing variables among ever-married women belonging to the reproductive age group (15-49) of Birbhum district, West Bengal.

METHODS

A cohort-based retrospective cross-sectional study was carried out among the sample of 229 respondents through a purposive stratified random sampling method and a pre-designed semi-structured questionnaire. The ordinal logistic regression (OLR) model was taken as a tool of assessment. Before developing the proportional OLR model, we have checked the multicollinearity effect among the predictors and the first-order effect modifier was evaluated as well. We performed data analysis using SPSS version 26.

RESULTS

The result shows that illiterate women (Odds ratios [OR] = 2.81, 95% CI, 0.277-1.791), from lower standard of living (OR = 1.14, 95% CI, -0.845-1.116), married before the age of 15 years (OR = 21.96, 95% CI, -0.55-6.73) and between the age of 15-18 years (OR = 24.51. 95% CI, -0.45-6.85) are more likely to be affected by the higher concentration of maternal risk. Other important predictor is the time of pregnancy registration. Considering the transport and related en-route causalities, the result portraying a clear picture where the distance and travel time becoming significant factors in determining the concentration of maternal risk.

CONCLUSION

Incidences of child marriages should be restricted. Eradicating factors influencing an individual's decision to seek care would be an essential contribution in excluding the dominant maternal risk factors.

Spatial multilevel analysis of age at death of under-5 children and associated determinants: EDHS 2000-2016

OBJECTIVE

This study examines trends, spatial distribution and determinants of age at death of under-5 children in Ethiopia.

DESIGN

This study used secondary data from the 2000, 2005, 2011 and 2016 Ethiopian Demographic and Health Surveys. A multilevel partial ordinal logistic regression model was used to assess the effects of variables on the age at death of children under 5 years.

SETTING

Ethiopia.

PARTICIPANTS

The final analysis included a sample of 3997 deaths of newborns, infants and toddlers.

RESULTS

A total of 1508, 1054, 830 and 605 deaths of under-5 children were recorded in the 2000, 2005, 2011 and 2016 survey years, respectively. The death of newborns, infants and toddlers showed a significant decrease from 2000 to 2016, with reductions of 33.3% to 17.4%, 42.4% to 12.6% and 45.2% to 11.6%, respectively. The analysis using Global Moran's Index revealed significant spatial autocorrelation in mortality for each survey year (p<0.05). The intraclass correlation of age at death of under-5 children within regions was substantial. Furthermore, the odds of newborn deaths among under-5 children (OR: 0.638, 95% CI: 0.535, 0.759) were lower for those delivered in health institutions compared with those delivered at home.

CONCLUSIONS

Throughout the survey years from 2000 to 2016, newborn children had higher mortality rates compared with infants and toddlers, and significant spatial variations were observed across different zones in Ethiopia. Factors such as child's sex, age of mother, religion, birth size, sex of household head, place of delivery, birth type, antenatal care, wealth index, spatial autocovariate, Demographic and Health Survey year, place of residence and region were found to be significant in influencing the death of under-5 children in Ethiopia. Overall, there has been a decreasing trend in the proportion of under-5 child mortality over the four survey years in Ethiopia.

Assessment of opioid administration patterns following lower extremity fracture among opioid-naïve inpatients: retrospective multicenter cohort study

BACKGROUND

Prescribing habits during admission have largely contributed to the opioid epidemic. Orthopedic surgeons represent the third-highest opioid-prescribing specialty. Since more than half of body fractures in Saudi Arabia have been lower extremity fractures, it is imperative to understand opioid administration patterns and correlates among opioid-naïve inpatients.

OBJECTIVES

Assess opioid administration patterns and correlates among opioid-naïve inpatients with lower extremity fractures.

DESIGN AND SETTINGS

Retrospective cohort PATIENTS AND METHODS: Opioid naïve individuals aged 18 to 64 years, admitted due to lower extremity fracture from 2016 to 2020 were included. Data was collected from health records of the Ministry of National Guard Health Affairs (MNG-HA) at five different medical centers. The high-dose (≥50 MME) patients were compared with low dose (<50 MME) patients. Any association between inpatient factors and high-dose opioid use was analyzed by multiple logistic regression.

MAIN OUTCOME MEASURES

Opioids taken during inpatient admission as measured by milligram morphine equivalents (MME)/per day.

SAMPLE SIZE

1520 patients RESULTS: Most of the 1520 patients (88.5%) received an opioid medication, while (20.3%) received high-dose opioids at a median daily dose of 33.7 MME/per day. The proportion of patients received naloxone (20.7%) was double among high-dose opioid inpatients. High-dose opioid patients during admission were two times more likely to receive an opioid prescription after discharge (odds ratio, 2.32; 95% confidence interval, 1.53, 3.51), and three more times likely to receive ketamine during admission (odds ratio, 3.02; 95% confidence interval, 1.64, 5.54).

CONCLUSION

Notable variabilities exist in opioid administration patterns that were not explained by patient factors. Evidence-based opioid prescribing practices should be developed for orthopedic patients to prevent opioid overprescribing and potential opioid overdose among orthopedic patients.

LIMITATIONS

Retrospective, unmeasurable confounders might have biased our results. Since based on National Guard employees, results may not be generalizable.

CONFLICT OF INTEREST

None.

Socioeconomic Determinants of Households’ Vulnerability to Drought in Western Cape, South Africa

This paper examines the determinants of household vulnerability to drought in the Western Cape province, South Africa. The study used secondary data collected by the Human Sciences Research Council (HSRC). The dataset is made up of 240 households located in the City of Cape Town along with two small towns in the West Coast District Municipality (Piketberg and Clanwilliam). While descriptive statistics were used to analyse households’ socioeconomic variables, an ordered logit model was employed to analyse the factors contributing to households’ vulnerability to drought in the study area. The paper revealed that 28% of the households were extremely vulnerable to drought. The result of the ordered logit regression model showed that factors such as the age of the household head, communication of water restrictions by the authorities, household water consumption in the last two years, and public cooperation with water restrictions were significant factors influencing households’ vulnerability to drought. It was also discovered that female-headed and older household members were more vulnerable to drought than their male-headed and younger members respectively. The paper concluded that to minimise vulnerability to drought among the households, stakeholders in the province should be better prepared to implement proactive policies with regard to climate disasters.

Generalized anxiety disorder among mothers attending perinatal services during COVID-19 pandemic: using ordinal logistic regression model

Background

Generalized anxiety disorder is characterized by excessive and uncontrollable worry about a variety of events. It is critical to ensure a pregnant mother's mental health in order to reduce pregnancy and birth-related problems. The major goal of current study was to identify the factors associated with generalized anxiety disorder among mothers attending perinatal services in the study area during COVID-19 using ordinal logistic regression.

Methods

The institution-based cross-sectional study was conducted from July 10^th, 2020 to August 10^th, 2020 at Kembata Tembaro zone, Southern Ethiopia. The current study included 423 mothers. The GAD-7 scale was used to assess the anxiety level among mothers. An Ordered logit model was used to identify the determinants of GAD. Brant test of the parallel line was utilized to check proportionality assumption. The statistical significance was determined using an adjusted proportional odd ratio with a 95%CI, and a p-value <5%. STATA software version 14 was used to analyze statistical data.

Results

Of all 423 mothers attending perinatal service during COVID-19; 134(31.7%), 171(40.4%), 85(20.1%), and 33 (7.8%) had non/minimal to severe generalized anxiety disorder respectively. The results of multivariable proportional odds model (POM) showed that the variables town residents [aPOR = 1.827; 95% CI:1.233-2.708], having alcohol habit [aPOR = 3.437, 95% CI = 1.397-8.454], having occupation [aPOR = 0.509, 95% CI: 0.303-0.857], being health care worker [aPOR = 0.117, 95% CI = 0.044-0.311], having chronic illness [aPOR = 7.685, 95% CI = 3.045-19.39], having family history of anxiety/mood disorder [aPOR = 7.839, 95% CI = 2.656-23.12], fear of contracting COVID-19 [aPOR = 1.704, 95% CI = 1.152-2.521], having moderate social support [aPOR = 0.648, 95% CI = 0.425-0.989], having strong social support [aPOR = 0.495, 95% CI = 0.272-0.901] were significantly associated with generalized anxiety disorder at 5% level of significance.

Conclusion

Current findings concluded that the prevalence of GAD among mothers attending perinatal service during COVID-19 was high. The covariates like being town resident, lower-income status, occupation status, having a chronic illness, having a positive family history of anxiety or mood disorder, perceived social support, and fear of the COVID-19 were significantly associated with generalized anxiety disorder among mothers. Mothers who visit perinatal services should be given special consideration to improve health care services and ensure their mental health.