&lt;p&gt;Patient Satisfaction and Associated Factors During COVID-19 Pandemic in North Shoa Health Care Facilities&lt;/p&gt;

Deriba, Berhanu Senbeta; Geleta, Tinsae Abeya; Beyane, Rebik Shukure; Mohammed, Ahmed Hasan; Tesema, Mengistu; Jemal, Kemal

doi:10.2147/ppa.s276254

Cited by 40 publications

(49 citation statements)

References 37 publications

(45 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…17 Fiche is the capital city of the zone and 114 kilometers away from Addis Ababa. 18 It has five hospitals and 64 health centers. It also has 2,420 health professionals out of whom 213 are midwives.…”

Section: Study Design Period and Settingmentioning

confidence: 99%

Determinants of preterm birth in public hospitals in central Ethiopia: an unmatched case-control study

Deriba¹,

Ayalew²,

Gebru³

2021

F1000Res

Self Cite

View full text Add to dashboard Cite

Background: Around 15 million babies are born prematurely in the world every year. The most common cause of neonatal death in Ethiopia is premature birth. To reduce the rate of preterm delivery by correcting modifiable or preventable causes, the availability of local data is important. Hence, this study aimed to identify the determinants of preterm birth among women who gave birth in public hospitals in central Ethiopia. Methods: An Institutional-based unmatched case-control study was conducted at public hospitals in central Ethiopia to select 170 cases and 340 controls. The collected data were entered into EPI INFO and transferred to SPSS for analysis. Tables, graphs, and proportions were used to present the results. Binary and multiple logistic regressions analysis were computed to identify determinants of preterm birth. Adjusted Odds Ratio (AOR), 95% Confidence Interval (CI), and a p-value < 0.05 were computed to determine the presence of an association between preterm birth and independent variables. Results: A total of 166 cases and 332 controls participated in the study, giving a response rate of 97.6%. Cigarette smoking (AOR=3.77, 95% CI=1.35,10.56), alcohol consumption (AOR=1.85, 95% CI=1.11,3.10), wanted but unplanned pregnancy (AOR=3,95% CI=1.68,5.34), neither wanted nor planned pregnancy(AOR=3.61% CI=1.62,8.06), lack of antenatal care (ANC) visits (AOR=4.13, 95% CI=1.95, 8.74), adverse birth outcomes (AOR=5.66, 95% CI=2.88,11.12), presence of a diagnosed illness (AOR=2.81, 95% CI=1.37, 5.76), presence of one or more of obstetrics complications(AOR=6.44, 95% CI=5.49, 3.35, 9), and hemoglobin level < 11g/dl (AOR=2.78, 95% CI=1.48, 5.22) were determinants of preterm birth. Conclusion:-In this study, cigarette smoking status, alcohol drinking status, pregnancy status, adverse birth outcomes, ANC visits, obstetric complications, presence of medical illness, and anemia were identified as determinants of preterm birth. It is important to encourage such women to attend ANC visits, stop smoking, and abstain from alcohol.

show abstract

Section: Study Design Period and Settingmentioning

confidence: 99%

Determinants of preterm birth in public hospitals in central Ethiopia: an unmatched case-control study

Deriba¹,

Ayalew²,

Gebru³

2021

F1000Res

Self Cite

View full text Add to dashboard Cite

show abstract

“… 14 For the reason that the older adults have an underlying health condition, may have dementia or cognitive decline, may become more anxious, angry, stressed, agitated and may have withdrawn as home quarantine, 6 and lack of accessible health facilities and dissatisfaction with health care services. 15 Moreover, in Ethiopia, the COVID-19 infection affects all age groups, but the majority of deaths have been recorded among older adults greater than or equal to 60 years, 4 which accelerate the cause of stressor for symptoms of anxiety and depression. 16 , 17 In addition, the lockdown measures imposed during COVID-19 may have affected older adults living in the study area as they are financially incapable and supported by volunteers that might be an additional burden for mental problems.…”

Section: Introductionmentioning

confidence: 99%

Anxiety and depression symptoms in older adults during coronavirus disease 2019 pandemic: A community-based cross-sectional study

Jemal¹,

Geleta²,

Deriba³

2021

SAGE Open Medicine

Self Cite

View full text Add to dashboard Cite

Objectives: The coronavirus disease 2019 pandemic has caused high morbidity and mortality in older adults over the world. Because the coronavirus disease 2019 pandemic greatly affects older adults who have a preexisting health condition, they are generally susceptible to a high incidence of severe symptoms of anxiety and depression. Therefore, we aimed to assess the prevalence of anxiety and depression symptoms in older adults during the coronavirus disease 2019 pandemic. Methods: Community-based cross-sectional study was completed in August 2020. Standardized and pretested General Anxiety Disorder–7 and Geriatric Depression Scale were used to screen the symptoms of anxiety and depression, respectively. Data were entered into EpiData (version 4.3.2) and transferred to SPSS (version 24) for further analysis. Bivariate and multivariate logistic regression analyses were carried out to determine the significantly associated variables with a 95% confidence interval at p < 0.05. Results: Of the total older adults interviewed, 68.7% had developed symptoms of anxiety and 59.9% had symptoms of depression during the coronavirus disease 2019 pandemic. Female participants, having a chronic disease and poor knowledge of the coronavirus disease 2019 pandemic, were significantly associated with anxiety symptoms. Age category of 81 to 90 and above 90, lack of social support, and having a chronic disease were significantly associated with symptoms of depression. Conclusion: The symptoms of anxiety and depression among older adults in the North Shoa Zone during coronavirus disease 2019 were higher than before the coronavirus disease 2019 happened. The results were evidence points for developing a psychological intervention to tackle the older adults’ mental health needs in the community during and after the coronavirus disease 2019 pandemic.

show abstract

“…21 North Shewa’s main city, Fiche, is 114 kilometers from Addis Ababa. 22 There are five hospitals and 64 health facilities in the zone. There are 2420 health professionals in the North Shewa zone, including 213 midwives.…”

Section: Methodsmentioning

confidence: 99%

Nutritional-Related Predictors of Preterm Birth in North Shewa Hospitals, Central Ethiopia: A Case–Control Study

Deriba¹

2021

PHMT

Self Cite

View full text Add to dashboard Cite

Background: Preterm birth (PTB) is the leading cause of newborn death and the second cause of mortality among under-five children. Globally, about 15 million infants are born preterm every year. However, there is a lack of data on the nutritional-related predictors of preterm birth among Ethiopian women. The objective of the study was to identify nutritionalrelated predictors of preterm birth among women who gave birth at North Shewa public Hospitals in central Ethiopia. Methods: A case-control study was undertaken in public hospitals in the North Shewa zone, central Ethiopia. Interviewer-administered questionnaire was used to gather data, which was then entered into EPI INFO version 7 and then exported to SPSS version 23 for analysis. Data were presented using texts, tables, and proportions. To find predictors of preterm birth, researcher used binary and multiple logistic regression models. The presence of a relationship between PTB and predictor factors was determined using the adjusted odds ratio (AOR), 95% confidence interval (CI), and p-value <0.05. Results: A total of 161 cases and 322 controls participated in the study making a response rate of 97.6%. Unable to get iron folic acid (IFA) (AOR=2.26, 95% CI: 1.22, 4.18), not eating additional meals (AOR=2.63, 95% CI: 1.1, 4.62), restriction of foods (AOR=2.85, 95% CI: 1.58, 5.12), not taking dark green leafy vegetables (DGLV), (AOR=4.46, 95% CI: 1.72, 11.61), and mid upper arm circumference of mother (MUAC) <23 centimeters (AOR=3.7, 95% CI: 2.25, 6.11) had statistically significant association with premature birth. Conclusion: IFA supplementation, additional meals, food taboo, frequency of DGLV, and MUAC were identified predictors of preterm birth. Encouraging such women to eat additional meals, varieties of diets like vegetables, and fruits during pregnancy, and adhering to culturally appropriate nutrition education to reverse food taboo is compulsory.

show abstract

<p>Patient Satisfaction and Associated Factors During COVID-19 Pandemic in North Shoa Health Care Facilities</p>

Cited by 40 publications

References 37 publications

Determinants of preterm birth in public hospitals in central Ethiopia: an unmatched case-control study

Determinants of preterm birth in public hospitals in central Ethiopia: an unmatched case-control study

Anxiety and depression symptoms in older adults during coronavirus disease 2019 pandemic: A community-based cross-sectional study

Nutritional-Related Predictors of Preterm Birth in North Shewa Hospitals, Central Ethiopia: A Case–Control Study

Contact Info

Product

Resources

About