What Are the Factors Associated with Nonadherence to Medications in Patients with Chronic Diseases?

Introduction: Adherence to medications is very crucial for an optimized clinical outcome in the management of chronic diseases. Beliefs about medications and other factors can significantly affect adherence to chronic medications. The objective of the present research was to identify the associated factors of adherence to medication in Jordanian patients with chronic diseases utilizing a stepwise binary logistical regression model. Methods: A cross-sectional study was carried out between November 2018 and March 2020. The participants were reached from secondary and tertiary care setting clinics in Jordan. The recruited patients were asked to report their attitudes of adherence to medications and beliefs about medications via filling out the MARS-5 and BMQ-specific tools. Sociodemographic data were also collected from the recruited patients and included in the regression model. A stepwise binary logistical regression model was applied to identify the associated factors of adherence to chronic medications in the tested sample. Results: A total of 485 patients who met the inclusion criteria were recruited. The mean age of the participants was 57.14 (age ranged from 22 to 82 years). Around 39% of the participants were older than 65 years. Most of the patients were either hypertensive or diabetic (35.7% and 32.2%, respectively). The logistic regression model indicated that necessity beliefs are strongly associated with adherence (OR 4.22), while concerns beliefs, dosage frequency and having medical insurance were negatively associated with adherence (OR 0.73, 0.74 and 0.26, respectively), with a p-value ≤ 0.05. Conclusions: Both the MARS-5 and BMQ-specific questionnaires were applied successfully on the tested sample. Better attention should be paid to the logistic regression model variables that were associated with adherence in order to guarantee optimal treatment outcomes in the treatment of chronic diseases.

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Work absence and multimorbidity in Portugal: results from the 1st National Health Examination Survey

European Journal of Public Health ◽

10.1093/eurpub/ckaa166.1390 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

J Matos ◽

C Matias Dias ◽

A Félix

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Chronic Diseases ◽

National Health ◽

Logistic Regression Model ◽

Health Examination ◽

Work Absence ◽

Health Examination Survey ◽

Absence From Work ◽

The Impact

Abstract Background Studies on the impact of patients with multimorbidity in the absence of work indicate that the number and type of chronic diseases may increase absenteeism and that the risk of absence from work is higher in people with two or more chronic diseases. This study analyzed the association between multimorbidity and greater frequency and duration of work absence in the portuguese population between the ages of 25 and 65 during 2015. Methods This is an epidemiological, observational, cross-sectional study with an analytical component that has its source of information from the 1st National Health Examination Survey. The study analyzed univariate, bivariate and multivariate variables under study. A multivariate logistic regression model was constructed. Results The prevalence of absenteeism was 55,1%. Education showed an association with absence of work (p = 0,0157), as well as professional activity (p = 0,0086). It wasn't possible to verify association between the presence of chronic diseases (p = 0,9358) or the presence of multimorbidity (p = 0,4309) with absence of work. The prevalence of multimorbidity was 31,8%. There was association between age (p < 0,0001), education (p < 0,001) and yield (p = 0,0009) and multimorbidity. There is no increase in the number of days of absence from work due to the increase in the number of chronic diseases. In the optimized logistic regression model the only variables that demonstrated association with the variable labor absence were age (p = 0,0391) and education (0,0089). Conclusions The scientific evidence generated will contribute to the current discussion on the need for the health and social security system to develop policies to patients with multimorbidity. Key messages The prevalence of absenteeism and multimorbidity in Portugal was respectively 55,1% and 31,8%. In the optimized model age and education demonstrated association with the variable labor absence.

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Prevalence of violence and associated factors among Youth in Northwest Ethiopia: Community-based Cross-sectional study.

10.21203/rs.3.rs-17582/v2 ◽

2020 ◽

Author(s):

Alehegn Bishaw Geremew ◽

Abebaw Addis Gelagay ◽

Telake Azale Bisetegn ◽

Yohannes Ayanaw Habitu ◽

Solomon Mekonen Abebe ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Associated Factors ◽

Logistic Regression Model ◽

Public Health Problem ◽

Cross Sectional Study ◽

Northwest Ethiopia ◽

Sectional Study ◽

Community Based ◽

Cross Sectional

Abstract Background Violence as a known serious public health problem affects people in all stages of life, from childhood to the elderly. In society, one of the most visible forms of violence is young people violence, whereas they, adolescents and young adults, are the main victims of such violence. There was limited information on the burden of violence and factors among this age group. Therefore, this study aimed to determine the prevalence of violence and its associated factors among youth in Northwest, Ethiopia. Methods A community-based cross-sectional study design was conducted to estimate the magnitude of violence among youth in Northwest, Ethiopia. The calculated sample size was 1765. A structured and pretested interviewer administered questionnaire was used to collect the data. A multi-stage cluster sampling technique was employed to get the study participants. Data were entered using Epi Info version 7 and then exported to STATA 14 for data analysis. The bivariate logistic regression model was employed to identify associated factors. An adjusted odds ratio with a 95% confidence interval was used to determine factors associated with violence. Results From the total 1765 representatives of the youth population, 1597 (90.5%) youth participated in the study. Overall, the prevalence of violence among youth aged 15–24 years for the last 12 months was 21.5%. In the multivariate logistic regression model, factors significantly associated with violence were being married and divorced (AOR= 1.77, 95% CI: 1.13, 2.79) and (AOR=5.67, 95%CI: 2.93, 10.99), respectively, Living with mother’s only (AOR= 1.85, 95% CI: 1.28, 2.66) and father’s only (AOR=2.45, 95% CI: 1.30, 4.63), and substance use (AOR= 2.38, 95% CI: 1.56, 3.66). Conclusions The prevalence of violence among youth was high compared to other studies. Special emphasis should be given to reduce the burden of youth violence and preventing and controlling the identified factors by modifying the existing policies/strategies or developing new strategies and interventions program. Keywords: Violence, Youth, Physical violence, Sexual violence, Psychological violence

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Urine biomarkers for the prediction of mortality in COVID-19 hospitalized patients

Scientific Reports ◽

10.1038/s41598-021-90610-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Daniel Morell-Garcia ◽

David Ramos-Chavarino ◽

Josep M. Bauça ◽

Paula Argente del Castillo ◽

Maria Antonieta Ballesteros-Vizoso ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Renal Involvement ◽

Tertiary Care ◽

Hospitalized Patients ◽

Care Hospital ◽

Icu Admission ◽

Renal Tubular Cells ◽

Prediction Of Mortality

AbstractRisk factors associated with severity and mortality attributable to COVID-19 have been reported in different cohorts, highlighting the occurrence of acute kidney injury (AKI) in 25% of them. Among other, SARS-CoV-2 targets renal tubular cells and can cause acute renal damage. The aim of the present study was to evaluate the usefulness of urinary parameters in predicting intensive care unit (ICU) admission, mortality and development of AKI in hospitalized patients with COVID-19. Retrospective observational study, in a tertiary care hospital, between March 1st and April 19th, 2020. We recruited adult patients admitted consecutively and positive for SARS-CoV-2. Urinary and serum biomarkers were correlated with clinical outcomes (AKI, ICU admission, hospital discharge and in-hospital mortality) and evaluated using a logistic regression model and ROC curves. A total of 199 COVID-19 hospitalized patients were included. In AKI, the logistic regression model with a highest area under the curve (AUC) was reached by the combination of urine blood and previous chronic kidney disease, with an AUC of 0.676 (95%CI 0.512–0.840; p = 0.023); urine specific weight, sodium and albumin in serum, with an AUC of 0.837 (95% CI 0.766–0.909; p < 0.001) for ICU admission; and age, urine blood and lactate dehydrogenase levels in serum, with an AUC of 0.923 (95%CI 0.866–0.979; p < 0.001) for mortality prediction. For hospitalized patients with COVID-19, renal involvement and early alterations of urinary and serum parameters are useful as prognostic factors of AKI, the need for ICU admission and death.

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The applicability of basic preventive measures of the pandemic COVID-19 and associated factors among residents in Guraghe Zone

PLoS ONE ◽

10.1371/journal.pone.0256598 ◽

2021 ◽

Vol 16 (8) ◽

pp. e0256598

Author(s):

Samuel Dessu ◽

Tadesse Tsehay ◽

Tadele Girum ◽

Abebe Timerga ◽

Mamo Solomon ◽

...

Keyword(s):

Public Health ◽

Logistic Regression ◽

Regression Model ◽

Family Size ◽

Associated Factors ◽

Logistic Regression Model ◽

Preventive Measures ◽

P Value ◽

Multivariable Logistic Regression Model ◽

Poor Knowledge

Introduction Internationally, countries have reacted to the COVID-19 outbreak by introducing key public health non-pharmaceutical interventions to protect vulnerable population groups. In response to COVID-19, the Government of Ethiopia has been taking a series of policy actions beyond public health initiatives alone. Therefore, this study was aimed to assess the applicability of basic preventive measures of the pandemic COVID-19 and associated factors among the residents of Guraghe Zone from 18th to 29th September, 2020. Methods Community based cross sectional study was conducted at Guraghe Zone from 18th to 29th September, 2020. Systematic random sampling method was applied among the predetermined 634 samples. Variables which had p-value less than 0.25 in bivariate analysis were considered as candidate for multivariable logistic regression model. P-value <0.05 was used as a cutoff point to determine statistical significance in multiple logistic regressions for the final model. Result In this study, 17.7% (95% CI: 14.7, 20.5) of the respondents apply the basic preventive measures towards the prevention of the pandemic COVID-19. In addition, being rural resident (AOR: 4.78,; 95%CI: 2.50, 8.90), being studied grade 1–8 (AOR: 3.70; 95%CI: 1.70, 7.90), being a farmer (AOR: 4.10; 95%CI: 1.25, 13.35), currently not married (AOR: 2.20, 95%CI: 1.24, 4.06), having family size 1-3(AOR: 6.50; 95%CI: 3.21, 3.35), have no diagnosed medical illness (AOR: 6.40; 95%CI: 3.85, 10.83) and having poor knowledge (AOR: 3.50; 95%CI: 1.60, 7.40) were factors which are statistically significant in multivariable logistic regression model. Conclusion Despite the application of preventive measures and vaccine delivery, the applicability of the pandemic COVID-19 preventive measures was too low, which indicate that the Zone is at risk for the infection. Rural residents, those who have lower educational level, farmers, non-marrieds, those who have lower family size, those who have diagnosed medical illnesses and those who have poor knowledge were prone to the infection with the pandemic COVID-19 due to the lower practice of applying the basic preventive measures. In addition, awareness creation should be in practice at all levels of the community especially lower educational classes and rural residents.

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Sub-fecundity and associated factors among mothers with natural planned conception attending antenatal care service in Arba Minch Health Facilities

PLoS ONE ◽

10.1371/journal.pone.0241995 ◽

2020 ◽

Vol 15 (11) ◽

pp. e0241995

Author(s):

Jira Wakoya Feyisa ◽

Sultan Hussen Hebo ◽

Firdawek Getahun Negash ◽

Negussie Boti Sidamo ◽

Kabtamu Tolosie Gergiso ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Associated Factors ◽

Logistic Regression Model ◽

Statistical Significance ◽

Coffee Consumption ◽

Health Facilities ◽

Systematic Sampling ◽

P Value ◽

Coital Frequency

Background Fecundity is a physiological ability to have children. The inability to get the desired child which was commonly caused by the prolonged time to conceive due to unwanted non-conception period increased from time to time. As a result, many couples are developing psychological, social, and economic problems and unstable life. However, information on fecundity status is limited in Ethiopia context. Therefore, this study aimed to assess the proportion of sub-fecundity and associated factors in Ethiopia context. Methods A health institution based cross-sectional study was conducted in Arba Minch health facilities from March 25 to April 25, 2020. By using a systematic sampling method, 539 mothers were selected for the study. Structured questionnaire was used for data collection. A binary logistic regression model was used to identify factors associated with the sub-fecundity. Variables with p-value <0.25 in the bi-variable logistic regression analysis were interred and checked for association in a multivariable logistic regression model. The level of statistical significance was declared at p-value <0.05. Result The proportion of sub-fecundity was 17.8% with 95%CI (14.8%-21.3%). Mothers’ age ≥ 30 (AOR = 2.54, 95%CI; 1.18–5.48), partners’ age ≥ 35 (AOR = 2.20, 95%CI; 1.01–4.75), coffee consumption of ≥ 4 cups/day (AOR = 2.93, 95%CI; 1.14–7.53), menses irregularity (AOR = 3.79 95%CI; 2.01–7.14) and coital frequency of 1day/week (AOR = 3.65, 95%CI; 1.47–9.05) were significantly associated with the sub-fecundity. Conclusion This study found that a substantial proportion of mothers were sub-fecund. Factors that contributed to the sub-fecundity were pre-pregnancy; mothers’ age, partners’ age, coffee drinking of ≥ 4 cups/day, coital frequency of 1day/week, and menses irregularity. Thus, efforts to prevent sub-fecundity should focus on awareness creation as to plan to conceive at early age, reducing coffee consumption, increasing days of coital frequency per week, and investigating and treating mothers with irregular menses.

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Timely initiation of antenatal care and its associated factors among pregnant women in sub-Saharan Africa: A multicountry analysis of Demographic and Health Surveys

PLoS ONE ◽

10.1371/journal.pone.0262411 ◽

2022 ◽

Vol 17 (1) ◽

pp. e0262411

Author(s):

Adugnaw Zeleke Alem ◽

Yigizie Yeshaw ◽

Alemneh Mekuriaw Liyew ◽

Getayeneh Antehunegn Tesema ◽

Tesfa Sewunet Alamneh ◽

...

Keyword(s):

Logistic Regression ◽

Antenatal Care ◽

Regression Model ◽

Health Facility ◽

Associated Factors ◽

Logistic Regression Model ◽

Sub Saharan Africa ◽

Timely Initiation ◽

Sub Saharan ◽

Ssa Countries

Background Timely initiation of antenatal care (ANC) is an important component of ANC services that improve the health of the mother and the newborn. Mothers who begin attending ANC in a timely manner, can fully benefit from preventive and curative services. However, evidence in sub-Saharan Africa (sSA) indicated that the majority of pregnant mothers did not start their first visit timely. As our search concerned, there is no study that incorporates a large number of sub-Saharan Africa countries. Thus, the objective of this study was to assess the prevalence of timely initiation of ANC and its associated factors in 36 sSA countries. Methods The Demographic and Health Survey (DHS) of 36 sSA countries were used for the analysis. The total weighted sample of 233,349 women aged 15–49 years who gave birth in the five years preceding the survey and who had ANC visit for their last child were included. A multi-level logistic regression model was used to examine the individual and community-level factors that influence the timely initiation of ANC. Results were presented using adjusted odds ratio (AOR) with 95% confidence interval (CI). Results In this study, overall timely initiation of ANC visit was 38.0% (95% CI: 37.8–38.2), ranging from 14.5% in Mozambique to 68.6% in Liberia. In the final multilevel logistic regression model:- women with secondary education (AOR = 1.08; 95% CI: 1.06, 1.11), higher education (AOR = 1.43; 95% CI: 1.36, 1.51), women aged 25–34 years (AOR = 1.20; 95% CI: 1.17, 1.23), ≥35 years (AOR = 1.30; 95% CI: 1.26, 1.35), women from richest household (AOR = 1.19; 95% CI: 1.14, 1.22), women perceiving distance from the health facility as not a big problem (AOR = 1.05; 95%CI: 1.03, 1.07), women exposed to media (AOR = 1.29; 95%CI: 1.26, 1.32), women living in communities with medium percentage of literacy (AOR = 1.51; 95%CI: 1.40, 1.63), and women living in communities with high percentage of literacy (AOR = 1.56; 95%CI: 1.38, 1.76) were more likely to initiate ANC timely. However, women who wanted their pregnancy later (AOR = 0.84; 95%CI: 0.82, 0.86), wanted no more pregnancy (AOR = 0.80; 95%CI: 0.77, 0.83), and women residing in the rural area (AOR = 0.90; 95%CI: 0.87, 0.92) were less likely to initiate ANC timely. Conclusion Even though the WHO recommends all women initiate ANC within 12 weeks of gestation, sSA recorded a low overall prevalence of timely initiation of ANC. Maternal education, pregnancy intention, residence, age, wealth status, media exposure, distance from health facility, and community-level literacy were significantly associated with timely initiation of ANC. Therefore, intervention efforts should focus on the identified factors in order to improve timely initiation of ANC in sSA. This can be done through the providing information and education to the community on the timing and importance of attending antenatal care and family planning to prevent unwanted pregnancy, especially in rural settings.

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Knowledge sharing practice and associated factors among healthcare providers at University of Gondar comprehensive specialized hospital in Amhara region, North West Ethiopian, 2020. (Preprint)

10.2196/preprints.24654 ◽

2020 ◽

Author(s):

Addisalem Workie

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Knowledge Sharing ◽

Associated Factors ◽

Logistic Regression Model ◽

Healthcare Providers ◽

Multivariable Logistic Regression Model ◽

Multivariable Logistic Regression ◽

Specialized Hospital ◽

The Right

BACKGROUND In healthcare, information and knowledge needs of health care providers arise in the patient care process. However, the right information and knowledge at the right time and place to the right person is not reached so far yet. Thus, leads to miss diagnosis, wastage of medical resources and knowledge. OBJECTIVE The objective of this study was to assess knowledge sharing practice and associated factors among healthcare providers at University of Gondar comprehensive specialized hospital. METHODS Institutional based cross-sectional study design was conducted through stratified simple random sampling technique among 423 samples from February 24 up to March 27, 2020. Pretested, self administered questionnaire were used to collect the required data. Epi info version 7 and stata software version 15 were used for data entry, processing and analysis respectively. Descriptive statistics and multivariable logistic regression model were applied to describe the study objects and to assess knowledge sharing practice and its associated factors. P value ≤ 0.05 were considered as factors associated with knowledge sharing practice. RESULTS In this study, 423 respondents were participated. From those participants, the level of knowledge sharing practice among healthcare providers was 65.0% (95% CI: 60.46-69.56) with 100% response rate. In multivariable logistic regression model awareness AOR=2.44, 95% CI= [1.32-4.50], willingness AOR=1.96, 95% CI= [1.10-3.53], perceived loss of knowledge power AOR=0.192, 95% CI= [.12-.32], the availability of health information resource AOR=2.00, 95% CI= [1.56-5.38] and opportunity AOR=2.91, 95% CI= [1.71-4.95] were significantly associated with KSP. CONCLUSIONS Knowledge sharing practice of healthcare provider was 65.01% which is higher as compared with most studies conducted in Ethiopia. But, it needs further opportunity, resource allocation and supportive leadership to make it more beyond what exist right now.

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Prevalence of violence and associated factors among Youth in Northwest Ethiopia: Community-based Cross-sectional study.

10.21203/rs.3.rs-17582/v1 ◽

2020 ◽

Author(s):

Alehegn Bishaw Geremew ◽

Abebaw Addis Gelagay ◽

Telake Azale Bisetegn ◽

Yohannes Ayanaw Habitu ◽

Solomon Mekonen Abebe ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Associated Factors ◽

Logistic Regression Model ◽

Public Health Problem ◽

Cross Sectional Study ◽

Northwest Ethiopia ◽

Sectional Study ◽

Community Based ◽

Cross Sectional

Abstract Background Violence as a known serious public health problem affects people in all stages of life, from childhood to the elderly. In society, one of the most visible forms of violence is young people violence, whereas they, adolescents and young adults, are the main victims of such violence. There was limited information on the burden of violence and factors among this age group. Therefore, this study aimed to determine the prevalence of violence and its associated factors among youth in Northwest, Ethiopia.Methods A community-based cross-sectional study design was conducted to estimate the magnitude of violence among youth in Northwest, Ethiopia. The calculated sample size was 1765. A structured and pretested interviewer administered questionnaire was used to collect the data. A multi-stage cluster sampling technique was employed to get the study participants. Data were entered using Epi Info version 7 and then exported to STATA 14 for data analysis. The bivariate logistic regression model was employed to identify associated factors. An adjusted odds ratio with a 95% confidence interval was used to determine factors associated with violence. Results From the total 1765 representatives of the youth population, 1597 (90.5%) youth participated in the study. Overall, the prevalence of violence among youth aged 15–24 years for the last 12 months was 21.5%. In the multivariate logistic regression model, factors significantly associated with violence were being married and divorced (AOR= 1.77, 95% CI: 1.13, 2.79) and (AOR=5.67, 95%CI: 2.93, 10.99), respectively, Living with mother’s only (AOR= 1.85, 95% CI: 1.28, 2.66) and father’s only (AOR=2.45, 95% CI: 1.30, 4.63), and substance use (AOR= 2.38, 95% CI: 1.56, 3.66).Conclusions The prevalence of violence among youth was high compared to other studies. Special emphasis should be given to reduce the burden of youth violence and preventing and controlling the identified factors by modifying the existing policies/strategies or developing new strategies and interventions program. Keywords: Violence, Youth, Physical violence, Sexual violence, Psychological violence

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