Utilization of sexual and reproductive health services among construction worker women in southern Ethiopia

BACKGROUND

In Ethiopia, the utilization of sexual and reproductive health services (SRH) is alarmingly inadequate, leading to higher rates of maternal and newborn mortality. Disparities in accessing sexual and reproductive health (SRH) services exist among different population groups, with construction worker women at a higher risk of experiencing such issues. We investigated the utilization of sexual and reproductive health services and associated factors among construction worker women in Southern Ethiopia.

METHOD

We conducted a cross-sectional study among construction worker women (15-49) in Southern Ethiopia from July 1st to July 30th, 2021. The participants were selected randomly using venue-day-time sampling (VDTS). The data were collected by a pretested structured questionnaire using an open data kit (ODK) and exported to Statistical Package for Social Sciences (SPSS) version 25 for analysis. Binary logistic regression analysis was conducted to identify factors associated with sexual and reproductive health service utilization. An adjusted odds ratio with 95% CI was used and statistical significance was declared at p-value < 0.05.

RESULTS

The study revealed that 54.4% of women of reproductive age had used at least one sexual and reproductive health service in the past year. About 66.7% of women experienced sexual harassment at work, with sex discrimination (86.9%) and sexist hostility (57.9%) being the most common. Aged over 20 years, married women, living with husbands, friends, and boyfriends, within 30 min of health facilities, and having a favorable attitude were significantly associated with SRH service utilization.

CONCLUSION

Nearly half of construction workers in southern Ethiopia are not using sexual and reproductive health services, indicating a concerning lack of access to such services. Over two-thirds of women experience sexual harassment in construction site. Therefore, to ensure universal access to SRH services, it is essential to design a new approach including outreach programs specifically tailored to reach such vulnerable groups.

Predictors of loss to follow up among adults on antiretroviral therapy before and after the start of treat-all strategy in public health facilities of Hawassa city, Ethiopia: A Competing risk regression

BACKGROUND

Treat-all strategies improved patient outcomes, despite higher rates of loss to follow-up compared to the pre-treat era. Patients in Ethiopia experienced a higher rate of LTFU during the treat-all strategy period; however, studies did not identify contributing factors in comparison with previous strategies. This study aimed to assess the incidence and predictors of loss to follow-up before and after the start of the treat-all strategy among adults on anti-retroviral therapy in public health facilities in Hawassa City, Ethiopia.

METHODS

An institution-based retrospective follow-up study was conducted among 1190 randomly selected adults on antiretroviral therapy in public health facilities in Hawassa City. Using the Open Data Kit (ODK), data were collected from medical records and exported to Stata version 16 and R 4.2.1 for analysis. A Grays test and cumulative incidence curve were used to compare the cumulative incidence function of loss to follow-up. Bivariable and multivariable competing risk regression were fitted to identify predictors of LTFU and variables with a p-value <0.05 were considered significant.

RESULTS

The cumulative incidence of lost-to-follow-up was 4.92(3.84,6.3) and 8.67(7.26,10.3) per 100 person-years (PY) in pre-treat all and treat all cohorts, respectively. The cumulative incidence of mortality was 5.86(4.67,7.35) and 3(2.26,4.12) per 100 PY in pre-treat and treat all cohorts, respectively. Fair/poor adherence (aSHR:5.17; (95% CI 1.97, 13.51), underweight (aSHR:2.13; 95% CI: 1.15-3.93) and WHO stage III/IV (aSHR:2.69; 95% CI: 1.27, 5.71) were predictors of loss up in pre-treat all, whereas fair/poor adherence (aSHR = 2.07; 95% CI: 1.18, 3.68), underweight (aSHR:1.71; 95% CI: 1.13, 2.56), and CD4 cell >350 cell/m3 (aSHR: 1.67; 95% CI: 1.05, 2.65) predicts of loss up in treat all cohorts.

CONCLUSION

This study demonstrated that the incidence of loss to follow-up was considerably higher in the treat-all period as compared to the pre-treat-all era. Poor medication compliance, underweight, and a CD4 level >350 cells/m3 contributed to the higher rate of LTFU in the treat-all strategy. Targeted interventions, such as nutritional support and strengthening medication adherence counseling, should be implemented to maintain treatment retention and reduce antiretroviral therapy dropout rates.

Effect of hospital attributes on patient preference among outpatient attendants in Wolaita Zone, Southern Ethiopia: discrete choice experiment study

BACKGROUND

Patient preference has preceded the use of health care services, and it has been affected by different hospital attributes. Meanwhile, the number of patients receiving vital health intervention is particularly low in Ethiopia. Therefore, this study aimed to determine the effect of hospital attributes on patient preference for outpatients in the Wolaita area in September 2020.

METHODS

A discrete choice experimental study was applied to determine the effect of hospital attributes on patient preference with a sample size of 1077. The experimental survey was conducted among outpatient attendants selected through a systematic random sampling approach. Six key attributes (competence of healthcare providers; availability of medical equipment and supplies; cost of service; wait time; distance; and hospital reputation) deduced from various hospital attributes were used to elicit the patient preferences. The data was collected from participants through the Open Data Kit application. A random effect probit model with marginal willingness to pay measure and partially log-likelihood analysis was applied to extract important attributes. We used STATA version 15 software for analysis, and the fitness of the model was verified by the calculated p-value for the Wald chi-square with a cut-point value of 0.05.

RESULT

One thousand forty-five patients who received outpatient care participated in the study. The random effect probit results have shown that all hospital attributes included in the study were significantly valued by patients while choosing the hospital (p-value < 0.001). Meanwhile, based on marginal willingness to pay and partial log-likelihood analysis, the competence of health care providers was identified as the most important attribute followed by the availability of medical equipment and supplies in hospitals.

CONCLUSION AND RECOMMENDATION

The results suggested that the quality of health care providers and availability of medical equipment and supply in hospitals would be primary interventional points for improving the patient preference of hospitals. Assessment, education, and training are recommended for enhancing the quality of health care providers. And stock balance checks, inspections, and accreditation are believed to be valuable for improving the availability of equipment and supply in hospitals.