BackgroundDrug 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.ObjectiveThe 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.MethodsA 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 p<0.05 was considered statistically significant in all analyses.ResultOf 340 study participants; male to female ratio was equivalent, the mean (± SD = standard deviation) age was 50.5±15.6 years. Eight hundred eighty DTPs were identified equating 2.6 ±1.8 DTPs per patient. The frequently identified DTPs were dosage too low (27.8%), ineffective drug therapy (27.6%) and need additional drug therapy (27.4%). Most commonly implicated drugs were beta-blockers (34.4%), angiotensin converting enzyme inhibitors (24.8%), statins (16.5%) and antithrombotics (13.1%). Factors contributing to DTP were age >50 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).ConclusionDTPs 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.

SummaryBackgroundAchieving 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.MethodsWe 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.FindingsIn the reference scenario, global health spending was projected to increase from US$10 trillion (95% uncertainty interval 10 trillion to 10 trillion) in 2015 to $20 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 $40 (24–65) to $413 (263–668) in 2040 in low-income countries, and from $140 (90–200) to $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.InterpretationWe 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.FundingThe Bill & Melinda Gates Foundation.

SummaryBackgroundComparable estimates of health spending are crucial for the assessment of health systems and to optimally deploy health resources. The methods used to track health spending continue to evolve, but little is known about the distribution of spending across diseases. We developed improved estimates of health spending by source, including development assistance for health, and, for the first time, estimated HIV/AIDS spending on prevention and treatment and by source of funding, for 188 countries.MethodsWe collected published data on domestic health spending, from 1995 to 2015, from a diverse set of international agencies. We tracked development assistance for health from 1990 to 2017. We also extracted 5385 datapoints about HIV/AIDS spending, between 2000 and 2015, from online databases, country reports, and proposals submitted to multilateral organisations. We used spatiotemporal Gaussian process regression to generate complete and comparable estimates for health and HIV/AIDS spending. We report most estimates in 2017 purchasing-power parity-adjusted dollars and adjust all estimates for the effect of inflation.FindingsBetween 1995 and 2015, global health spending per capita grew at an annualised rate of 3·1% (95% uncertainty interval [UI] 3·1 to 3·2), with growth being largest in upper-middle-income countries (5·4% per capita [UI 5·3–5·5]) and lower-middle-income countries (4·2% per capita [4·2–4·3]). In 2015, $9·7 trillion (9·7 trillion to 9·8 trillion) was spent on health worldwide. High-income countries spent $6·5 trillion (6·4 trillion to 6·5 trillion) or 66·3% (66·0 to 66·5) of the total in 2015, whereas low-income countries spent $70·3 billion (69·3 billion to 71·3 billion) or 0·7% (0·7 to 0·7). Between 1990 and 2017, development assistance for health increased by 394·7% ($29·9 billion), with an estimated $37·4 billion of development assistance being disbursed for health in 2017, of which $9·1 billion (24·2%) targeted HIV/AIDS. Between 2000 and 2015, $562·6 billion (531·1 billion to 621·9 billion) was spent on HIV/AIDS worldwide. Governments financed 57·6% (52·0 to 60·8) of that total. Global HIV/AIDS spending peaked at 49·7 billion (46·2–54·7) in 2013, decreasing to $48·9 billion (45·2 billion to 54·2 billion) in 2015. That year, low-income and lower-middle-income countries represented 74·6% of all HIV/AIDS disability-adjusted life-years, but just 36·6% (34·4 to 38·7) of total HIV/AIDS spending. In 2015, $9·3 billion (8·5 billion to 10·4 billion) or 19·0% (17·6 to 20·6) of HIV/AIDS financing was spent on prevention, and $27·3 billion (24·5 billion to 31·1 billion) or 55·8% (53·3 to 57·9) was dedicated to care and treatment.InterpretationFrom 1995 to 2015, total health spending increased worldwide, with the fastest per capita growth in middle-income countries. While these national disparities are relatively well known, low-income countries spent less per person on health and HIV/AIDS than did high-income and middle-income countries. Furthermore, declines in development assistance for health co...

Objective Contemporary clinical guidelines endorsed that glycemic control is the ultimate goal in the management patients with diabetes. The aim of this study was to assess the prevalence of glycemic control and to identify predictors of poor glycemic control in patients with type 2 diabetes (T2D). A cross-sectional study was conducted among systematically selected 357 diabetic patients. Data were collected through direct patients’ interviews and medical chart review. Binary logistic regression analyses were performed and analyzed using SPSS version 22.0. Results Participants’ mean age was (± SD) 56.1 ± 11.6 years. Nearly four in five (77.9%) of the participants had comorbidities, mainly of hypertension, and 60.2% had diabetic complications, mainly diabetes neuropathy. Poor glycemic control was found in 68.3% of the participants with a mean (± SD) FBG of 174.1 ± 48.9 mg/dL. Being female gender, having greater body mass index and low medication adherence was significantly associated with poor glycemic control. In conclusion, the overall aspects of glycemic control level of patients were far from the standards. Being female, greater body mass index and poor medication adherence were predictors of poor glycemic control. In response to this finding, an aggressive intervention that targets in improving the glycemic control is required. Electronic supplementary material The online version of this article (10.1186/s13104-019-4248-6) contains supplementary material, which is available to authorized users.

Background Despite the benefits of evidence-based self-care behaviors in the management of hypertension, hypertensive patients have low rate of adherence to the recommended self-care behaviors. Studies related to self-care behaviors among hypertensive patients are limited in Ethiopia. Objective To assess the rate of adherence to self-care behaviors and associated factors among hypertensive patients. Method A cross-sectional study was conducted at the cardiac clinic of Ayder comprehensive specialized hospital among ambulatory hypertensive patients. Self-care behaviors were assessed using an adopted Hypertension Self-Care Activity Level Effects (H–SCALE). Data were collected through patient interview and review of medical records. Binary logistic regression analysis was performed to identify predictors of self-care behaviors. Result A total of 276 patients were included in the study. The majority of the participants were nonsmokers (89.9%) and alcohol abstainers (68.8%). Less than half of the participants were adherent to the prescribed antihypertensive medications (48.2%) and recommended physical activity level (44.9%). Moreover, only 21.45% and 29% were adherent to weight management and low salt diet recommendations, respectively. Our finding indicated that rural resident (adjusted odds ratio [AOR]: 0.45, 95% confidence interval [CI]: 0.21–0.97), comorbidity (AOR: 0.16, 95% CI: 0.08–0.31), and negative medication belief (AOR: 0.25, 95% CI: 0.14–0.46) were significantly associated with medication adherence. Female sex (AOR: 0.46, 95% CI: 0.23–0.92), old age (AOR: 0.19, 95% CI: 0.06–0.60) and lack of knowledge on self-care behaviors (AOR: 0.13, 95% CI: 0.03–0.57) were significantly associated with adherence to weight management. Female sex (AOR: 1.97, 95% CI: 1.03–3.75) and lack of knowledge on self-care (AOR: 0.07, 95% CI: 0.03–0.16) were significantly associated with adherence to alcohol abstinence. Female sex (AOR: 6.33, 95% CI: 1.80–22.31) and khat chewing (AOR: 0.08, 95% CI: 0.03–0.24) were significantly associated with non-smoking behavior. There was also a significant association between female sex and physical activity (AOR: 0.22, 95% CI: 0.12–0.40). Conclusion The rate of adherence to self-care behaviors particularly weight management, low salt intake, physical exercise, and medication intake was low in our study. Elders, females, khat chewers, rural residents, and patients with negative medication belief, comorbidity, and inadequate knowledge of SCBs were less adherent to self-care behaviors compared to their counterparts. Therefore, health care providers should pay more emphasis to patients at risk of having low self-care behaviors.