Exploring the police use of force continuum with a partial proportional odds model

PurposeThe present study examines a range of police force on the continuum (firearms, TASER/chemical spray and physical force) to see whether they are associated with individual (subject and officer), situational and/or neighborhood factors.Design/methodology/approachA partial proportional odds model is used to analyze police use of force data from 2003 to 2016 in Dallas. Independent variables are allowed for varying effects across the different cumulative dichotomizations of the dependent variable (firearms vs TASER/chemical spray and physical force and firearms and TASER/chemical spray vs physical force).FindingsMost officer demographic and situational factors are consistently significant across the cumulative dichotomizations of police force. In addition, suspect race/ethnicity (Hispanic) and violent crime rates play significant roles when officers make decisions to use firearms, as opposed to TASER/chemical spray and physical force. Overall, situational variables (subject gun possession and contact types) play greater roles than other variables in affecting police use of force.Originality/valueDespite the large body of police use of force research, little to no research has used the partial proportional odds model to examine the ordinal nature of police force from physical to intermediate to deadly force. The current findings can provide important implications for policy and research.

The Association Between Multimorbidity and Health-Related Quality of Life Among Clients Attending Chronic Outpatient Medical Care in Bahir Dar, Northwest Ethiopia: The Application of Partial Proportional Odds Model

Background Multimorbidity, the presence of two or more chronic non-communicable diseases (NCDs) in a given person affects all aspects of individuals’ lives. Poor quality of life (QoL) is one of the major consequences of living with multimorbidity. Although healthcare aims to support multimorbid individuals to achieve better quality of life, little is known about the effect of multimorbidity on quality of life of patients attending chronic outpatient medical care in Ethiopia. Objectives This study aimed to determine the association between multimorbidity and quality of life among clients attending chronic outpatient medical care in Bahir Dar city, Northwest Ethiopia. Methods A multi-centered facility-based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complementary methods (interview and review of medical records) were employed to collect data on sociodemographic characteristics and presence of chronic diseases. We used the short form (SF-12 V2) instrument to measure quality of life. The data were analyzed by STATA V.16 and multivariate partial proportional odds model was fitted to identify covariates associated with quality of life, adjusting for relevant confounding factors. Statistical significance was considered at p-value <0.05.Results Multimorbidity was identified in 54.8% (95% CI=52.2%-57.4%) of the sample. A significant proportion (33.5%) of the study participants had poor quality of life and one fourth (25.8%) of them had moderate quality of life. Advanced age and living with multimorbidity were associated with poor quality of life. Conversely, being female, strong social support, high socioeconomic status, and adequate functioning and satisfaction with care were the variables positively associated with higher categories of quality of life.Conclusion The magnitude of multimorbidity in this study was high and individuals living with multimorbidity had a relatively poor quality of life than those without multimorbidity. Care of people with chronic multiple conditions may need to be oriented to the realities in multimorbidity burden and its implication on quality of life. Interventions targeting modifiable associated factors and studies exploring the longitudinal effect of multimorbidity on quality of life are needed.

Perceptions of Natural Resources Use in Rwanda - A Partial Proportional Odds Model

The scarcity of natural resources is a challenge in Rwanda. Although Rwanda has improved water supplies, projections show a further increase in water demand. Particularly, agriculture continues to place further demands on water resources through intensification and industrialization. Similarly, although the dependence on biomass for cooking has improved over the past two decades in Rwanda, the ratio is still high and is projected to increase. Unfortunately, the heavy dependence on biomass is damaging to the environment in general, forests in particular. As the consumption of water and charcoal increases, it is important to study how people perceive their consumption. Research shows that people who perceive their consumption of natural resources are more likely to conserve them as they can see how much they are consuming. This study investigated perceptions of water and charcoal consumption among farmers in northern Rwanda. A survey was used to collect data from 323 farmers involved in a poultry development project in the district of Musanze, northern Rwanda. A Partial Proportional Odds Model (PPOM) was used to analyse the effect of different factors on the perception of natural resource consumption. Results indicate that the perception of charcoal consumption was associated with three variables: living in the urban section of the district, the amount of feed consumed by chicken, and elevation at which the coop is located. Results from this study can improve how food security projects are implemented by incorporating people’s perceptions of their consumption of natural resources.

Associated risk factors of underweight among under-five children in Ethiopia using multilevel ordinal logistic regression model

Background: Malnutrition is associated with both under nutrition and over nutrition which causes the body to get improp- er amount of nutrients to maintain tissues and organ function. Under nutrition is the result of insufficient intake of food, poor utilization of nutrients due to illnesses, or a combination of these factors. The purpose of this study was to identify associated risk factors and assess the variation of underweight among under-five children of different regions in Ethiopia. Methods: Ethiopian Demography and Health Survey (EDHS-2016) weight-to-age data for under-five children is used. In order to achieve the objective of this study; descriptive, single level and multilevel ordinal logistic regression analysis were used. Results: From a total of 8935 children about 8.1% were severely underweight, 17.1% were moderately underweight and 74.8% were normal. The test of heterogeneity suggested that underweight varies among region and multilevel ordinal model fit data better than single level ordinal model. Conclusion: Educational level of mother, religion, birth order, type of birth, sex of child, mother body mass index, birth size of child, existence of diarrhea for last two weeks before survey, existence of fever for last two weeks before survey, duration of breast feeding, age child and wealth index had significant effect on underweight among under-five children in Ethiopia. The finding revealed that among the fitted multilevel partial proportional odds model, the random intercept model with fixed coefficients is appropriate to assess the risk factors of underweight among under-five children in Ethiopia. The findings of this study have important policy implications. The government should work closely with both the private sector and civil society to teach women to have sufficient knowledge, awareness and mechanisms of improving under-five under- weight for children’s wellbeing. Keywords: Underweight; Partial proportional odds model; Multilevel partial proportional odds model; under-five children.

Examining partial proportional odds model in analyzing severity of high-speed railway accident

Purpose The operation safety of the high-speed railway has been widely concerned. Due to the joint influence of the environment, equipment, personnel and other factors, accidents are inevitable in the operation process. However, few studies focused on identifying contributing factors affecting the severity of high-speed railway accidents because of the difficulty in obtaining field data. This study aims to investigate the impact factors affecting the severity of the general high-speed railway. Design/methodology/approach A total of 14 potential factors were examined from 475 data. The severity level is categorized into four levels by delay time and the number of subsequent trains that are affected by the accident. The partial proportional odds model was constructed to relax the constraint of the parallel line assumption. Findings The results show that 10 factors are found to significantly affect accident severity. Moreover, the factors including automation train protection (ATP) system fault, platform screen door and train door fault, traction converter fault and railway clearance intrusion by objects have an effect on reducing the severity level. On the contrary, the accidents caused by objects hanging on the catenary, pantograph fault, passenger misconducting or sudden illness, personnel intrusion of railway clearance, driving on heavy rain or snow and train collision against objects tend to be more severe. Originality/value The research results are very useful for mitigating the consequences of high-speed rail accidents.

Women’s satisfaction with the quality of antenatal care services rendered at public health facilities in Northwest Ethiopia: the application of partial proportional odds model

ObjectivesThe study was aimed: (1) to describe the quality of antenatal care (ANC) at public health facilities in Northwest Ethiopia, including dimensions of the structure, process and outcome; and (2) to assess the relationship between ANC satisfaction and structure and process dimension of ANC quality.DesignCross sectional.SettingHealthcare facilities providing ANC services in Northwest Ethiopia.Participants795 pregnant women attending the antenatal clinics at 15 public health facilities and 41 health workers working for the surveyed facilities.Outcome measuresThe outcome variable, women’s satisfaction with ANC, was constructed from multiple satisfaction items using principal component analysis on an ordered, categorical and three-point Likert scale. The key hypothesised factors considered were structural and process aspects of care. Data were analysed using the partial proportional odds model with 95% CI.ResultsThe result revealed that only 30.3% of the pregnant women were highly satisfied, whereas 31.7% had a lower satisfaction level. The findings showed that process quality indicators better predicted client satisfaction. In relation to this, better scores in history taking (aOR1=aOR2; 1.81 (95% CI 1.25 to 2.60)), counselling (aOR1 = aOR2; 1.89 (95% CI 1.33 to 2.69)) and screening (aOR1= aOR2; 18.10 (95% CI 11.52 to 28.39)) were associated with achieving higher satisfaction. We also observed a significant but lower satisfaction among women in the late trimester of pregnancy (aOR1 = aOR2; 0.87 (95% CI 0.78 to 0.97)). However, we did not see any significant relationship between structural variables and client satisfaction.ConclusionsThe study demonstrated that women’s satisfaction with ANC was low. The contents of ANC services covered during client–provider interaction were the main factors affecting client satisfaction. This suggests that efforts are required to improve the competencies of health professionals to make them more effective while dealing with clients.