15 research outputs found
Trends in future health financing and coverage: future health spending and universal health coverage in 188 countries, 2016–40
Background: Achieving universal health coverage (UHC) requires health financing systems that provide prepaid pooled resources for key health services without placing undue financial stress on households. Understanding current and future trajectories of health financing is vital for progress towards UHC. We used historical health financing data for 188 countries from 1995 to 2015 to estimate future scenarios of health spending and pooled health spending through to 2040. Methods: We extracted historical data on gross domestic product (GDP) and health spending for 188 countries from 1995 to 2015, and projected annual GDP, development assistance for health, and government, out-of-pocket, and prepaid private health spending from 2015 through to 2040 as a reference scenario. These estimates were generated using an ensemble of models that varied key demographic and socioeconomic determinants. We generated better and worse alternative future scenarios based on the global distribution of historic health spending growth rates. Last, we used stochastic frontier analysis to investigate the association between pooled health resources and UHC index, a measure of a country's UHC service coverage. Finally, we estimated future UHC performance and the number of people covered under the three future scenarios. Findings: In the reference scenario, global health spending was projected to increase from US20 trillion (18 trillion to 22 trillion) in 2040. Per capita health spending was projected to increase fastest in upper-middle-income countries, at 4·2% (3·4–5·1) per year, followed by lower-middle-income countries (4·0%, 3·6–4·5) and low-income countries (2·2%, 1·7–2·8). Despite global growth, per capita health spending was projected to range from only 413 (263–668) in 2040 in low-income countries, and from 1699 (711–3423) in lower-middle-income countries. Globally, the share of health spending covered by pooled resources would range widely, from 19·8% (10·3–38·6) in Nigeria to 97·9% (96·4–98·5) in Seychelles. Historical performance on the UHC index was significantly associated with pooled resources per capita. Across the alternative scenarios, we estimate UHC reaching between 5·1 billion (4·9 billion to 5·3 billion) and 5·6 billion (5·3 billion to 5·8 billion) lives in 2030. Interpretation: We chart future scenarios for health spending and its relationship with UHC. Ensuring that all countries have sustainable pooled health resources is crucial to the achievement of UHC. Funding: The Bill & Melinda Gates Foundation
Medication Belief and Adherence among Patients with Epilepsy
Background. Medication adherence and belief are crucial to achieving the desired goal of therapy in epileptic patients. However, there is a lack of study regarding medication adherence and belief in our setting. Therefore, the purpose of this study was to investigate medication adherence and belief and associated factors among ambulatory patients with epilepsy. Method. A cross-sectional study was conducted on randomly selected epileptic patients at the neurologic clinic of Ayder Comprehensive Specialized Hospital, Ethiopia. Medication adherence and belief were assessed using self-reported questionnaires which were developed based on the review of different literatures. Data were analyzed using binary logistic regression analysis. Result. We included a total of 292 patients. Almost two-thirds (65.4%) of the patients were nonadherent to their medications. The most common cause of nonadherence was forgetfulness (48.7%) followed by inability to get medicine (28.8) and safety concern (23.5%). The majority (78.4%) of the patients had high medication necessity belief while 44.1% had high concern belief about the potential adverse effect of their medications. Overall, 39.4% of the patients had a negative belief toward their medications. Comorbidity (AOR: 3.51, 95% CI: 1.20-10.31), seizure encounter within the last 3 months (AOR: 5.45, 95% CI: 2.48-12.00), low medication necessity belief (AOR: 3.38, 95% CI: 1.14-10.00), high medication concern belief (AOR: 4.23, 95% CI: 2.07-8.63), and negative medication belief (AOR: 4.17, 95% CI: 1.74-10.02) were predictors of medication nonadherence. Conclusion. Majority of the epileptic patients were nonadherent to their medications, and more than one-third of the patients had a negative medication belief. Low medication necessity belief, high medication concern belief, negative medication belief, comorbidity, and seizure encounter were predictors of medication nonadherence. Therefore, healthcare providers should design educational programs to enhance the patients’ believe about their medication in order to improve medication adherence and overall treatment outcome
Drug therapy problems and contributing factors in the management of heart failure patients in Jimma University Specialized Hospital, Southwest Ethiopia.
BACKGROUND:Drug therapy problem (DTP) is any unwanted incident related to medication therapy that actually or potentially affects the desired goals of treatment. Heart failure (HF) patients are more likely to experience DTP owing to multiple prescriptions and comorbidities. Despite the serious negative impact of DTP on treatment outcomes, there is a dearth of study on DTP among HF patients in Ethiopia. OBJECTIVE:The main aim of this study was to assess the prevalence and contributing factors of DTP among ambulatory HF patients in Jimma University Specialized Hospital, Ethiopia. METHODS:A hospital based prospective observational study was conducted. Written informed consent was obtained from each patient after full explanation of the study. Data were collected through patient interview and expert review of medical, medication and laboratory records of one-year follow-up from May 2015 to April 2016. DTPs were identified using Cipolle's method followed by consensus review with experts. Binary logistic regression was performed to identify factors contributing to DTP. A p50 years (AOR [adjusted odd ratio] = 5.43, 95%CI [95% confidence interval] = 2.03-14.50); negative medication belief (AOR = 3.50, 95%CI = 1.22-10.05); poor involvement of patients in the therapeutic decision makings (AOR = 4.11, 95%CI = 1.91-8.88); number of co-morbidity≥2(AOR = 5.26, 95%CI = 2.38-11.65) and number of medications ≥5 (AOR = 3.68, 95%CI = 1.28-10.51). CONCLUSION:DTPs are common among ambulatory care HF patients. Patients with older age, negative medication belief, polypharmacy, co-morbidities and those who were poorly involved in the therapeutic decision were more likely to experience DTP. Despite traditional prescription refilling, an integrated multidisciplinary approach involving patients and clinically trained pharmacists should be implemented in the patient care process at ambulatory care clinics in order to improve overall outcomes and reduce DTPs and associated burdens in HF patients
Prevalence and predictors of poor self-care behaviors in patients with chronic heart failure
Abstract Despite the indispensable role of self-care behavior in managing heart failure, the practice of self-care behavior remains poor, especially in developing countries. There is a scarcity of research focusing on poor self-care behavior and its determinants within our specific context. Therefore, the objective of this study was to investigate the prevalence and predictors of poor self-care behavior among ambulatory heart failure patients. A facility-based cross-sectional study was conducted at a tertiary care hospital in Ethiopia, involving patients with heart failure. We utilized the European Heart Failure Self-Care Behavior Scale (EHFScBS-9) to evaluate adherence to self-care behaviors. Data were gathered through patient interviews and a review of medical records. A binary logistic regression analysis was performed to identify predictors of poor self-care behavior in heart failure patients. We included a total of 343 participants in the final analysis of this study. The findings revealed that a majority of the patients (73.8%) demonstrated poor overall self-care behavior. Specifically, the majority of patients did not engage in regular exercise (76.1%), failed to consult doctors in case of rapid weight gain (75.6%), did not monitor weight daily (71.5%), did not restrict fluid intake (69.9%), and did not contact doctors in case of experiencing fatigue (68.6%). Additionally, 32.4% of patients did not reach out to doctors when experiencing shortness of breath, 30% did not restrict salt intake, 29% did not adhere to prescribed medication, and only 7% did not consult doctors if edema occurred. Our findings indicated that rural residence (AOR: 5.76, 95% CI: 2.47–13.43), illiteracy (AOR: 2.64, 95% CI: 1.52–6.31), prior hospitalization (AOR: 2.09, 95% CI: 1.21–3.61), and taking five or more medications (AOR: 1.83, 1.01–3.33) were significant predictors of poor self-care behavior. In conclusion, a majority of the participants in our study demonstrated poor self-care behavior. Risk factors for this behavior included rural residence, illiteracy, prior hospitalization, and taking five or more medications. Therefore, it is crucial to prioritize these high-risk patients and implement interventional programs aimed at improving self-care behaviors and overall treatment outcomes in heart failure patients
Drug therapy problems and contributing factors among patients with epilepsy.
BackgroundAlthough antiseizure medications play a crucial role in the management of epilepsy, their benefit can be compromised due to drug-related problems. Drug therapy problems can lead to poor seizure control, reduced quality of life, and increased morbidity and mortality in patients with epilepsy. However, in our setting, there is limited knowledge about drug therapy problems and the factors that contribute to them.ObjectiveThe aim of this study was to investigate the prevalence and contributing factors of drug-therapy problems among patients with epilepsy.MethodologyA hospital-based prospective observational study was conducted at the neurologic clinic of Ayder Comprehensive Specialized Hospital, located in the Tigray region of Northern Ethiopia. The study included adult patients diagnosed with epilepsy who had been taking at least one antiseizure medication for a minimum of six months. Data were collected by conducting patient interviews and expert reviews of medical and medication records. Prior to data review and interviews, each patient provided written informed consent. Drug therapy problems were identified and classified using Cipolle's method, followed by a consensus review conducted with a panel of experts. Statistical analysis was performed using a statistical software package; SPSS version 22. Binary logistic regression analysis was conducted to determine the contributing factors of drug therapy problems. Statistical significance was determined at pResultsA study conducted on 250 participants revealed that 55.2% of the patients experienced one or more drug therapy problems. Our analysis identified a total of 282 drug therapy problems, with a mean of 2±0.52 drug therapy problems per patient. The most commonly observed drug therapy problems were dosage too low (30.0%), noncompliance (22%), adverse drug reaction (18%), and unnecessary drug therapy (16.4%). The commonly involved antiseizure medications in these drug therapy problems were phenytoin (22.8%), Valproic acid (20.8%), and Phenobarbital (18.4%). Furthermore, our findings revealed that combination therapy (AOR: 3.92, 95%CI: 1.19-12.97) and uncontrolled seizure (AOR: 108.37, 95%CI: 38.7-303.6) exhibited significant associations with drug therapy problems.ConclusionDrug therapy problems were prevalent among patients with epilepsy. The use of combination therapy and the presence of uncontrolled seizures were identified as significant indicators of drug therapy problems. Therefore, more emphasis should be given to patients with multiple medications and uncontrolled seizures
Immunologic and Clinical Failure of Antiretroviral Therapy in People Living with Human Immunodeficiency Virus within Two Years of Treatment
Background. Early initiation of highly active antiretroviral therapy (HAART) decreases human immunodeficiency virus- (HIV-) related complications, restores patients’ immunity, decreases viral load, and substantially improves quality of life. However, antiretroviral treatment failure considerably impedes the merits of HAART. Objective. This study is aimed at determining the prevalence of immunologic and clinical antiretroviral treatment failure. Methods. A cross-sectional study design using clinical and immunologic treatment failure definition was used to conduct the study. Sociodemographic characteristics and clinical features of patients were retrieved from patients’ medical registry between the years 2009 and 2015. All patients who fulfilled the inclusion criteria in the study period were studied. Predictors of treatment failure were identified using Kaplan-Meier curves and multivariable Cox regression analysis. Data analysis was done using SPSS version 21 software, and the level of statistical significance was declared at a p value < 0.05. Results. A total of 770 were studied. The prevalence of treatment failure was 4.5%. The AZT-based regimen (AHR=16.95, 95% CI: 3.02-95.1, p=0.001), baseline CD4 count≥301 (AHR=0.199, 95% CI: 0.05-0.76, p=0.018), and bedridden during HAART initiation (AHR=0.131, 95% CI: 0.029-0.596, p=0.009) were the predictors of treatment failure. Conclusion. The prevalence of treatment failure was lower with the risk being higher among patients on the AZT-based regimen. On the other hand, the risk of treatment failure was lower among patients who started HAART at baseline CD4 count≥301 and patients who were bedridden during HAART initiation. We recommend further prospective, multicenter cohort studies to be conducted to precisely detect the prevalence of treatment failure using viral load determination in the whole country
Clinical and economic burden of healthcare-associated infections: A prospective cohort study.
IntroductionHealthcare-associated infections (HAIs) have become a serious public health problem. Despite the fact that implementing evidence-based infection control strategies could prevent HAIs and save billions of dollars, Ethiopia lacks national surveillance studies on the rate, economic, and clinical burden of HAIs.ObjectiveTo assess the clinical and economic burden of HAIs in hospitalized patients at Ayder comprehensive specialized hospital.Materials and methodsA prospective cohort study design was conducted in patients with and without HAIs. A review of medical records, interviews, and patient bills was used to extract necessary information. The patients in the two arms were matched based on age, sex, Charlson comorbidity index, and ward type. Measurable factors were compared between infected and uninfected patients using the paired ttest or McNemar's test, as appropriate. Logistic regression was used to identify predictors of in-hospital mortality. Stata 14.1 was used to conduct all analyses.ResultsA total of 408 patients, 204 with HAIs and 204 without HAIs were included in the study. In-hospital mortality was higher in patients with HAI (14.7% vs 7.8%, P = 0.028). Patients with HAI stayed an average of 8.3 days longer than controls (18.85 vs 10.59, PConclusionHAIs have a significant impact on in-hospital mortality, the length of extra hospital stays, and extra costs for medical care. Patients admitted to intensive care units and those with HAIs were found to be significant predictors of in-hospital mortality. Interventions must be implemented to prevent HAIs, especially in patients admitted to intensive care units
Clinical and economic burden of healthcare-associated infections: A prospective cohort study
Introduction Healthcare-associated infections (HAIs) have become a serious public health problem. Despite the fact that implementing evidence-based infection control strategies could prevent HAIs and save billions of dollars, Ethiopia lacks national surveillance studies on the rate, economic, and clinical burden of HAIs. Objective To assess the clinical and economic burden of HAIs in hospitalized patients at Ayder comprehensive specialized hospital. Materials and methods A prospective cohort study design was conducted in patients with and without HAIs. A review of medical records, interviews, and patient bills was used to extract necessary information. The patients in the two arms were matched based on age, sex, Charlson comorbidity index, and ward type. Measurable factors were compared between infected and uninfected patients using the paired ttest or McNemar’s test, as appropriate. Logistic regression was used to identify predictors of in-hospital mortality. Stata 14.1 was used to conduct all analyses. Results A total of 408 patients, 204 with HAIs and 204 without HAIs were included in the study. In-hospital mortality was higher in patients with HAI (14.7% vs 7.8%, P = 0.028). Patients with HAI stayed an average of 8.3 days longer than controls (18.85 vs 10.59, PConclusion HAIs have a significant impact on in-hospital mortality, the length of extra hospital stays, and extra costs for medical care. Patients admitted to intensive care units and those with HAIs were found to be significant predictors of in-hospital mortality. Interventions must be implemented to prevent HAIs, especially in patients admitted to intensive care units
Self-medication practice and contributing factors among pregnant women.
BackgroundThe practice of self-medication during pregnancy is a global challenge that necessitates high attention as it poses a potential threat to the pregnant mother and fetus. However, little is known regarding self-medication practice and its contributors among pregnant women in our setting.ObjectiveThe main aim of this study was to investigate the practice of self-medication and its contributing factors among pregnant women.MethodologyA cross sectional study was conducted among pregnant women at antenatal care follow-up of Ayder comprehensive specialized hospital, Tigray, Ethiopia. Written informed consent was obtained from each participant before interview. Simple random sampling technique was employed to recruit participants in to the study. Data were collected by interviewing participants using the structured questionnaire. Binary logistic regressions analysis was performed to determine the contributing factors of self-medication practice during pregnancy. A p value of less than 0.05 was considered as significant.ResultsA total of 250 pregnant women were included in the study. Of the total, 40.8% practiced self-medication during the current pregnancy. Morning sickness (39.2%), headache (34.3%), and upper respiratory tract infections (29.4%) were the leading indications for self-medication. According to participant report, ease of access to medicines (25.5%), feelings that the disease is minor (21.6%) and timesaving (19.6%) were the most commonly reported reasons for self-medication practice. Absence of health insurance (AOR: 2.75, 95%CI: 1.29-5.89) and being on first trimester of pregnancy (AOR: 2.44, 95%CI: 1.02-5.86) were significant contributors of self-medication practice among pregnant women.ConclusionIn our study, high prevalence of self-medication was reported among pregnant women. Self-medication practice during pregnancy was higher among pregnant women on first trimester and those who were not having health insurance. Therefore, intervention programs should be designed to minimize the practice of self-medication during pregnancy
Treatment resistant hypertension among ambulatory hypertensive patients: A cross sectional study.
BACKGROUND:Treatment resistant hypertension(TRH) is detrimental risk of cardiovascular and premature deaths. Globally, the prevalence of resistant hypertension is inclining from time to time and it is yet to be determined in Ethiopia. OBJECTIVE:To assess the prevalence of apparent TRH and its predictors among ambulatory hypertensive patients on follow up in hypertension clinic of Mekelle Hospital, Northern Ethiopia. METHOD:A hospital based cross sectional study was conducted from Nov 25, 2018 to July 20, 2019, among 338 adult ambulatory hypertensive patients on follow up in Mekelle Hospital hypertension clinic. Hypertensive patient aged ≥18 years who were on regular follow up and taking antihypertensive medications for at least 6 months were included in the study. A simple random sampling technique was used to recruit the study patients. RESULTS:A total of 338 adult ambulatory hypertensive patients were analysed. More than half, 182 (53.8%) patients were females and the average age of the patients was 58.9 ±11.5. Three hundred thirty-three (98.5%) patients had no family history of hypertension. Majority, 66.8% of the patients were on monotherapy. The prevalence of apparent TRH was calculated to be 8.6% [Confidence Interval = 0.056-0.116]. Patients with Body Mass Index(BMI) greater than 30[Adjusted Odds Ratio(AOR) = 12.1, 95%CI:2.00-73.19, p = 0.007] and longer duration of hypertension were the predictors of resistant hypertension. CONCLUSION:Even if escalation of antihypertensive medications was not aggressive, apparent TRH was common in the study setting. Obesity (BMI greater than 30) and longer duration of hypertension since diagnosis were the predictors of TRH. Meticulous emphasis should be placed on to detect the prevalence of true hypertension resistance and future studies should discover the impact of aggressive antihypertensive medications scale up on the risks of TRH