Assessment of levels of asthma control among adult patients with asthma at Chitungwiza Central Hospital, Zimbabwe

Ndarukwa, Pisirai; Chimbari, Moses John; Sibanda, Elopy

doi:10.1186/s13223-020-0405-7

Cited by 9 publications

(9 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our meta-analysis study result was higher than the studies conducted in Ethiopia [20,24], Canada [25], Zimbabwe [25], and Morocco [26]. This might be due to differences in sample size and study design.…”

Section: Discussioncontrasting

confidence: 77%

Uncontrolled Asthma in Ethiopia: A Systematic Review and Meta-Analysis

Tadesse

Negash

Kiros

et al. 2020

Advances in Respiratory Medicine

View full text Add to dashboard Cite

Introduction: Despite significant improvement in the diagnosis and management of this disorder, asthma in the majority of Ethiopians remains poorly controlled. Although the prevalence of uncontrolled asthma is a public health problem in Ethiopia, its reported prevalence varies from study to study. Hence, this review aims to determine the true prevalence of uncontrolled asthma among asthmatic patients in Ethiopia. Material and methods: Different database searching engines were used including PubMed, Scopus, Google Scholar, Africa journal online, World Health Organization (WHO) afro library, and Cochrane review. They were systematically searched for published studies on uncontrolled asthma in Ethiopia from 2014 to 2019. Primary search terms were “asthma”, “uncontrolled asthma”, “uncontrolled wheezing”, and “Ethiopia”. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Guidelines was followed. Publication bias was examined by the funnel plot. The random-effect model was fitted to estimate the pooled prevalence of uncontrolled asthma among asthmatic patients. All statistical analysis was done using R version 3.5.3 and the RStudio version 1.2.5033 software for Windows. Results: The overall pooled prevalence of uncontrolled asthma was found to be 71.67% [95% CI (0.6772; 0.7562)]. Potential associated factors were: unscheduled visits, frequency of short-acting beta2-agonist (SABA) use, type of treatment and perceived rate of asthma control, low monthly income, age group, presence of comorbidity, moderate persistent asthma, severe persistent asthma and use of SABA alone as anti-asthmatic medication, use of biomass fuel for cooking, longer duration of asthma (> 30 years), incorrect inhalation technique, and asthma exacerbation in the last 12 months. Self-perceived poor asthma control was associated with any activity limitation due to asthma, inconsistent inhaled corticosteroid use, and lack of health education on metered-dose inhaler technique [AOR =4.96; 95% CI (1.08–22.89)]. Conclusions: Nearly two-thirds of patients were determined to have uncontrolled asthma. Thus, this evidence suggests that attention should be given to asthma patients and health care providers.

show abstract

Section: Discussioncontrasting

confidence: 77%

Uncontrolled Asthma in Ethiopia: A Systematic Review and Meta-Analysis

Tadesse

Negash

Kiros

et al. 2020

Advances in Respiratory Medicine

View full text Add to dashboard Cite

show abstract

“…We also observed proximity to healthcare facilities from the patient’s residence increased the likelihood of seeking care from a given health facility (Figure 3). Similar observations were confirmed by Ndarukwa et al (2020) studying HSB of adult patients with asthma at a public hospital in Zimbabwe. Second, we investigated the means of transportation used by patients to arrive at healthcare facilities.…”

Section: Resultssupporting

confidence: 70%

“…We briefly discuss previous work analyzing patient HSB in both international and Indian contexts. Previous studies primarily considered assessing behavior of patients with respect to diseases such as cancer (Habtu et al 2018; Mubin et al 2021), tuberculosis (Kaur et al 2013; Thomas et al 2021), oral diseases (Deolia et al 2020), asthma (Ndarukwa et al 2020), ante- and prenatal care (Shahabuddin et al 2017; Matsubara et al 2019), mental illness (Srivastava et al 2021), non-communicable diseases (Rasul et al 2019), diabetes (Low et al 2016), whiplash injury (Tenenbaum et al 2017), and HIV (Lafort et al 2016) among others. HSB was analyzed with respect to patient-related attributes such as gender (Thompson et al 2016; Kapoor et al 2019; Rana et al 2020) or a specific age group (Cho et al 2008; Shrivastava 2014; Srivastava et al 2021), rurality/urbanity (Nemet & Bailey, 2000; Herberholz & Phuntsho, 2018; Liu et al 2018; Liu et al 2019), marital status (Shahabuddin et al 2017), and socioeconomic status (Matsubara et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Healthcare Seeking Behavior Among Patients Visiting Public Primary and Secondary Healthcare Facilities in an Urban Indian District

Fatma¹,

Ramamohan²

2022

Preprint

View full text Add to dashboard Cite

In this work, we examined healthcare seeking behavior (HSB) of patients visiting public healthcare facilities in an urban context. We conducted a cross-sectional survey across twenty-two primary and secondary public healthcare facilities in the South-west Delhi district in India. The survey was designed to ascertain from patients at these facilities their HSB - i.e., on what basis patients decide the type of healthcare facility to visit, or which type of medical practitioner to consult. From each facility visited, we also collected operational information, such as the average number of patients visiting per day, and the medical services provided at each facility. Based on participant responses, we observed that factors such as wait time, prior experience with care providers, distance from the facility, and also socioeconomic and demographic factors such as annual income, educational qualification, and gender significantly influenced preferences of patients in choosing healthcare facilities. We used binomial and multinomial logistic regression to determine associations between HSB and socioeconomic and demographic attributes of patients at a 0.05 level of significance. Our statistical analyses revealed that patients in the lower income group preferred to seek treatment from public healthcare facilities (OR = 3.51, 95% CI = (1.65, 7.46)) irrespective of the perceived severity of their illness, while patients in the higher income group favored directly consulting specialized doctors (OR = 2.71, 95% CI = (1.34, 5.51)). Other factors such as having more than two children increased probability of seeking care from public facilities. This work contributes to the literature by providing quantitative evidence regarding overall patient HSB, especially at primary and secondary public healthcare facilities, regardless of their presenting illness, and operational information regarding healthcare delivery at these facilities. This work can inform policy designed to improve accessibility and quality of care at public primary and secondary healthcare facilities in India.

show abstract

“…For example, an analysis of archival 2017-2018 courier data in Malawi revealed that 30.08% (24,256/80,648) of the courier visits to clinics were empty trips. This not only results in inefficient use of limited resources but also contributes to delays in receiving critical test results [ 5 ], which in turn leads to poor health-seeking behavior among the population [ 6 ] and can contribute to increased mortality rates [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

An Unstructured Supplementary Service Data System for Daily Tracking of Patient Samples and Diagnostic Results in a Diagnostic Network in Malawi: System Development and Field Trial

Killian¹,

Gibson²,

Kachule³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

Background Diagnostics in many low- and middle-income countries are conducted through centralized laboratory networks. Samples are collected from patients at remote point-of-care health facilities, and diagnostic tests are performed at centralized laboratories. Sample transportation systems that deliver diagnostic samples and test results are crucial for timely diagnosis and treatment in such diagnostic networks. However, they often lack the timely and accurate data (eg, the quantity and location of samples prepared for collection) required for efficient operation. Objective This study aims to demonstrate the feasibility, adoption, and accuracy of a distributed data collection system that leverages basic mobile phone technology to gather reports on the quantity and location of patient samples and test results prepared for delivery in the diagnostic network of Malawi. Methods We designed a system that leverages unstructured supplementary service data (USSD) technology to enable health workers to submit daily reports describing the quantity of transportation-ready diagnostic samples and test results at specific health care facilities, free of charge with any mobile phone, and aggregate these data for sample transportation administrators. We then conducted a year-long field trial of this system in 51 health facilities serving 3 districts in Malawi. Between July 2019 and July 2020, the participants submitted daily reports containing the number of patient samples or test results designated for viral load, early infant diagnosis, and tuberculosis testing at each facility. We monitored daily participation and compared the submitted USSD reports with program data to assess system feasibility, adoption, and accuracy. Results The participating facilities submitted 37,771 reports over the duration of the field trial. Daily facility participation increased from an average of 50% (26/51) in the first 2 weeks of the trial to approximately 80% (41/51) by the midpoint of the trial and remained at or above 80% (41/51) until the conclusion of the trial. On average, more than 80% of the reports submitted by a facility for a specific type of sample matched the actual number of patient samples collected from that facility by a courier. Conclusions Our findings suggest that a USSD-based system is a feasible, adoptable, and accurate solution to the challenges of untimely, inaccurate, or incomplete data in diagnostic networks. Certain design characteristics of our system, such as the use of USSD, and implementation characteristics, such as the supportive role of the field team, were necessary to ensure high participation and accuracy rates without any explicit financial incentives.

show abstract

Assessment of levels of asthma control among adult patients with asthma at Chitungwiza Central Hospital, Zimbabwe

Cited by 9 publications

References 32 publications

Uncontrolled Asthma in Ethiopia: A Systematic Review and Meta-Analysis

Uncontrolled Asthma in Ethiopia: A Systematic Review and Meta-Analysis

Analysis of Healthcare Seeking Behavior Among Patients Visiting Public Primary and Secondary Healthcare Facilities in an Urban Indian District

An Unstructured Supplementary Service Data System for Daily Tracking of Patient Samples and Diagnostic Results in a Diagnostic Network in Malawi: System Development and Field Trial

Contact Info

Product

Resources

About