scholarly journals Factors associated with the decline of malaria in Myanmar’s Ayeyarwady Region between 2013 and 2017

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah Gallalee ◽  
Abigail V. Ward ◽  
Moe Moe Aye ◽  
Nang Khaing Zar Aung ◽  
Julia C. Dunn ◽  
...  
Keyword(s):  
Case Management ◽  
Malaria Case ◽  
Malaria Elimination ◽  
Poisson Regression ◽  
Regression Models ◽  
Malaria Incidence ◽  
Ecological Factors ◽  
Qualitative Information ◽  
Factors Associated ◽  
Potential Factors

AbstractThe burden of malaria in Myanmar has declined rapidly in recent years; cases decreased from 333,871 in 2013 to 85,019 in 2017 (75% decrease). Decline of malaria in the Ayeyarwady Region of Myanmar reflects this trend with an 86% decrease in cases over this period. In this exploratory analysis, quantitative and qualitative information were assessed to explore potential factors responsible for the decline of malaria in Ayeyarwady. Data on malaria incidence, programmatic financing, surveillance, case management, vector control interventions, climate and ecological factors, and policies and guidelines spanning 2013 to 2017 were compiled. Poisson regression models that adjust for correlation were used to analyze the association between annual malaria case numbers with malaria intervention factors at the township level. Between 2013 and 2017, there was a decrease in mean township-level malaria incidence per 1000 from 3.03 (SD 4.59) to 0.34 (SD 0.79); this decline coincided with the implementation of the government’s multi-pronged malaria elimination strategy, an increase of approximately 50.8 million USD in malaria funding nationally, and a period of deforestation in the region. Increased funding in Ayeyarwady was invested in interventions associated with the decline in caseload, and the important roles of surveillance and case management should be maintained while Myanmar works towards malaria elimination.

scholarly journals The Influence of Standardized Residency Training on Trainees’ Willingness to Become a Doctor: A Comparison between Traditional Chinese Medicine and Western Medicine

2019 ◽  
Vol 16 (17) ◽  
pp. 3017 ◽  
Author(s):  
Junwen Yang-Huang ◽  
Wenji Qian ◽  
Kan Zhang ◽  
Lu Shi ◽  
Jiayan Huang
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Residency Training ◽  
Western Medicine ◽  
Regression Models ◽  
Residency Training Program ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Potential Factors ◽  
Structured Questionnaire

A standardized residency training program (SRT) was launched in Shanghai in 2010, for both Western Medicine (WM) and Traditional Chinese Medicine (TCM). This study aimed to assess whether the program impacted trainees’ willingness to become a doctor and whether the program had different effects among WM and TCM trainees. A structured questionnaire was distributed to 2114 trainees to assess their perceptions and satisfaction with the program and their willingness to become a doctor after the exposure to the program. The trainees’ characteristics were compared between WM and TCM specialties using X2 tests. The potential factors associated with trainees’ perception of the program and willingness to become a doctor after the exposure to the SRT program were assessed by multiple linear and logistic regression models. Compared to WM trainees (n = 1853), TCM trainees (n = 261) would be more likely to become doctors if there were no SRT program (p = 0.003). Both individual and program-wide (different specialties) factors contributed to trainees’ perception, overall satisfaction, and willingness. Only specialty played an independent role in the associations with all three outcome variables. Inequality of characteristics between TCM and WM trainees reduced TCM trainees’ willingness to become a doctor after the exposure to the SRT program.

scholarly journals Predictors of anaemia among adolescent schoolchildren of Ghana

2020 ◽  
Vol 9 ◽  
Author(s):  
Lucas Gosdin ◽  
Katie Tripp ◽  
Abraham B. Mahama ◽  
Kate Quarshie ◽  
Esi Foriwa Amoaful ◽  
...  
Keyword(s):  
Adolescent Girls ◽  
Poisson Regression ◽  
Regression Models ◽  
Secondary Analysis ◽  
Haemoglobin Concentration ◽  
Public Health Problem ◽  
Capillary Blood ◽  
Food Frequency ◽  
Factors Associated ◽  
Fortified Cereal

Abstract Anaemia is a public health problem in Ghana. We sought to identify factors associated with haemoglobin concentration (Hb) and anaemia among school-attending adolescents. We analysed data from 2948 adolescent girls and 609 boys (10–19 years) selected from 115 schools from regions of Ghana as a secondary analysis of baseline surveys conducted at two time-points. We measured Hb, malaria from capillary blood, anthropometry and used a modified food frequency questionnaire to assess diet. Multivariable linear and Poisson regression models were used to identify predictors of Hb and anaemia. The prevalence of anaemia, malaria and geophagy were 24, 25, and 24 %, respectively, among girls and 13, 27 and 6 %, respectively, among boys. Girls engaging in geophagy had a 53 % higher adjusted prevalence of anaemia and 0⋅39 g/dl lower Hb. There were similar results among those who tested positive for malaria (+52 % anaemia; −0⋅42 g/dl Hb). Among girls, lower anaemia prevalence and higher Hb were associated with consumption of foods rich in haeme iron (−22 %; +0⋅18 g/dl), consumption of iron-fortified cereal/beverages consumed with citrus (−50 %; +0⋅37 g/dl) and being overweight (−22 %; +0⋅22 g/dl). Age was positively associated with anaemia among girls, but negatively associated among boys. Boys who tested positive for malaria had 0⋅31 g/dl lower Hb. Boys who were overweight or had obesity and consumed flour products were also more likely to be anaemic (119 and 56 %, respectively). Factors associated with Hb and anaemia may inform anaemia reduction interventions among school-going adolescents and suggest the need to tailor them uniquely for boys and girls.

scholarly journals Challenges affecting prompt access to adequate uncomplicated malaria case management in children in rural primary health facilities in Chikhwawa Malawi

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Larissa Klootwijk ◽  
Anthony Emeritus Chirwa ◽  
Alinune Nathanael Kabaghe ◽  
Michele van Vugt
Keyword(s):  
Case Management ◽  
Malaria Case ◽  
Malaria Diagnosis ◽  
Health Facilities ◽  
Care Seeking ◽  
Malaria Case Management ◽  
Factors Associated ◽  
Primary Health ◽  
Fever Onset ◽  
Primary Health Facilities

Abstract Background Reducing the burden of malaria highly depends on access to prompt and effective malaria diagnosis and treatment. The aim of this study was to identify challenges affecting prompt access to effective uncomplicated malaria case management in children below 10 years old in rural primary health care facilities in Malawi. Methods A cross sectional health facility survey was conducted in six primary health facilities in Chikhwawa district, Malawi. Officers-in-charge of health facilities were interviewed on availability of staff, supplies and drugs. All consecutive children presenting at the facility with fever or suspected malaria, aged 6 months to 10 years old, were eligible to participate in exit interviews. Exit interviews with participants’ guardians assessed duration of illness, demographic information and distance travelled. Adherence to recommended malaria case management guidelines included performing malaria rapid diagnostic tests (mRDTs) in children with fever or suspected malaria and prescribing recommended weight-based dose of artemether-lumefantrine (AL) when mRDT was positive. Multivariate logistic regression was used to determine factors associated with prompt care seeking within 24 h of onset of illness. Results Health facilities were staffed by at least two health workers. Of 265 children screened, nine were excluded due to severe illness. Twenty-one percent of children presenting at a health facility with fever were not tested for malaria. Adherence to positive and negative mRDT results for those tested was 99.4, 95% CI [98.1–100] and 97, 95% CI [88.9–100], respectively. AL was prescribed as recommended by weight in 152 children (92.2%). Temporary stock outs of AL occurred in five of six facilities. In total, 146 (57, 95% CI [52.7–64.1]) guardians of patients sought care within 24 h after fever onset. Children aged 5 to 10 years were less likely to present within 24 h of fever onset than children below 5 years of age (unadjusted odds ratio 0.40, 95% CI [0.2–0.7]). Conclusion Adherence to malaria diagnosis and treatment guidelines was high. However, delayed care seeking and stock outs may affect prompt and effective malaria case management. Further qualitative work is required to determine, and address factors associated with delay in care seeking for fever.

scholarly journals Determinants of improvement trends in health workers’ compliance with outpatient malaria case-management guidelines at health facilities with available “test and treat” commodities in Kenya

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259020
Author(s):  
Beatrice Amboko ◽  
Kasia Stepniewska ◽  
Lucas Malla ◽  
Beatrice Machini ◽  
Philip Bejon ◽  
...  
Keyword(s):  
Case Management ◽  
Community Health ◽  
Community Health Workers ◽  
Malaria Case ◽  
Health Workers ◽  
Health Facilities ◽  
Malaria Case Management ◽  
Management Guidelines ◽  
Factors Associated ◽  
Test And Treat

Background Health workers’ compliance with outpatient malaria case-management guidelines has been improving in Africa. This study examined the factors associated with the improvements. Methods Data from 11 national, cross-sectional health facility surveys undertaken from 2010–2016 were analysed. Association between 31 determinants and improvement trends in five outpatient compliance outcomes were examined using interactions between each determinant and time in multilevel logistic regression models and reported as an adjusted odds ratio of annual trends (T-aOR). Results Among 9,173 febrile patients seen at 1,208 health facilities and by 1,538 health workers, a higher annual improvement trend in composite “test and treat” performance was associated with malaria endemicity-lake endemic (T-aOR = 1.67 annually; p<0.001) and highland epidemic (T-aOR = 1.35; p<0.001) zones compared to low-risk zone; with facilities stocking rapid diagnostic tests only (T-aOR = 1.49; p<0.001) compared to microscopy only services; with faith-based/non-governmental facilities compared to government-owned (T-aOR = 1.15; p = 0.036); with a daily caseload of >25 febrile patients (T-aOR = 1.46; p = 0.003); and with under-five children compared to older patients (T-aOR = 1.07; p = 0.013). Other factors associated with the improvement trends in the “test and treat” policy components and artemether-lumefantrine administration at the facility included the absence of previous RDT stock-outs, community health workers dispensing drugs, access to malaria case-management and Integrated Management of Childhood Illness (IMCI) guidelines, health workers’ gender, correct health workers’ knowledge about the targeted malaria treatment policy, and patients’ main complaint of fever. The odds of compliance at the baseline were variable for some of the factors. Conclusions Targeting of low malaria risk areas, low caseload facilities, male and government health workers, continuous availability of RDTs, improving health workers’ knowledge about the policy considering age and fever, and dissemination of guidelines might improve compliance with malaria guidelines. For prompt treatment and administration of the first artemether-lumefantrine dose at the facility, task-shifting duties to community health workers can be considered.

Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Odds Ratio ◽  
Regression Models ◽  
Tumor Patients ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Follow Up Care ◽  
Risk Patients ◽  
African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

scholarly journals A model for malaria elimination based on learnings from the Malaria Elimination Demonstration Project, Mandla district, Madhya Pradesh

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Harsh Rajvanshi ◽  
Praveen K. Bharti ◽  
Sekh Nisar ◽  
Himanshu Jayswar ◽  
Ashok K. Mishra ◽  
...  
Keyword(s):  
Case Management ◽  
Vector Control ◽  
Capacity Building ◽  
Malaria Elimination ◽  
Lessons Learned ◽  
Madhya Pradesh ◽  
Demonstration Project ◽  
Bed Nets ◽  
Field Staff ◽  
Pharmaceutical Industries

Abstract Background Malaria Elimination Demonstration Project (MEDP) was started as a Public-Private-Partnership between the Indian Council of Medical Research through National Institute of Research in Tribal Health, Govt. of Madhya Pradesh and Foundation of Disease Elimination and Control of India, which is a Corporate Social Responsibility (CSR) initiative of the Sun Pharmaceutical Industries Limited. The project’s goal was to demonstrate that malaria can be eliminated from a high malaria endemic district along with prevention of re-establishment of malaria and to develop a model for malaria elimination using the lessons learned and knowledge acquired from the demonstration project. Methods The project employed tested protocols of robust surveillance, case management, vector control, and capacity building through continuous evaluation and training.  The model was developed using the learnings from the operational plan, surveillance and case management, monitoring and feedback, entomological investigations and vector control, IEC and capacity building, supply chain management, mobile application (SOCH), and independent reviews of MEDP. Results The MEDP has been operational since April 2017 with field operations from August 2017, and has observed: (1) reduction in indigenous cases of malaria by about 91 %; (2) need for training and capacity building of field staff for diagnosis and treatment of malaria; (3) need for improvement insecticide spraying and for distribution and usage of bed-nets; (4) need for robust surveillance system that captures and documents information on febrile cases, RDT positive individuals, and treatments provided; (5) need for effective supervision of field staff based on advance tour plan; (6) accountability and controls from the highest level to field workers; and (7) need for context-specific IEC. Conclusions Malaria elimination is a high-priority public health goal of the Indian Government with a committed deadline of 2030. In order to achieve this goal, built-in systems of accountability, ownership, effective management, operational, technical, and financial controls will be crucial components for malaria elimination in India. This manuscript presents a model for malaria elimination with district as an operational unit, which may be considered for malaria elimination in India and other countries with similar geography, topography, climate, endemicity, health infrastructure, and socio-economic characteristics.

scholarly journals Anticipated help-seeking for cancer symptoms before and after the coronavirus pandemic: results from the Onco-barometer population survey in Spain

2021 ◽  
Author(s):  
Dafina Petrova ◽  
Marina Pollán ◽  
Miguel Rodriguez-Barranco ◽  
Dunia Garrido ◽  
Josep M. Borrás ◽  
...  
Keyword(s):  
Poisson Regression ◽  
Help Seeking ◽  
Regression Models ◽  
Population Survey ◽  
Waiting Times ◽  
Perceived Barriers ◽  
Older Individuals ◽  
Cancer Symptoms ◽  
Before And After ◽  
Diagnostic Delays

Abstract Background The patient interval—the time patients wait before consulting their physician after noticing cancer symptoms—contributes to diagnostic delays. We compared anticipated help-seeking times for cancer symptoms and perceived barriers to help-seeking before and after the coronavirus pandemic. Methods Two waves (pre-Coronavirus: February 2020, N = 3269; and post-Coronavirus: August 2020, N = 1500) of the Spanish Onco-barometer population survey were compared. The international ABC instrument was administered. Pre–post comparisons were performed using multiple logistic and Poisson regression models. Results There was a consistent and significant increase in anticipated times to help-seeking for 12 of 13 cancer symptoms, with the largest increases for breast changes (OR = 1.54, 95% CI 1.22–1–96) and unexplained bleeding (OR = 1.50, 1.26–1.79). Respondents were more likely to report barriers to help-seeking in the post wave, most notably worry about what the doctor may find (OR = 1.58, 1.35–1.84) and worry about wasting the doctor’s time (OR = 1.48, 1.25–1.74). Women and older individuals were the most affected. Conclusions Participants reported longer waiting times to help-seeking for cancer symptoms after the pandemic. There is an urgent need for public interventions encouraging people to consult their physicians with symptoms suggestive of cancer and counteracting the main barriers perceived during the pandemic situation.

scholarly journals Significance of training, monitoring and assessment of malaria workers in achieving malaria elimination goal of Malaria Elimination Demonstration Project

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Harsh Rajvanshi ◽  
Sekh Nisar ◽  
Praveen K. Bharti ◽  
Himanshu Jayswar ◽  
Ashok K. Mishra ◽  
...  
Keyword(s):  
Case Management ◽  
Vector Control ◽  
Malaria Elimination ◽  
Disease Surveillance ◽  
Training Session ◽  
Central India ◽  
Malaria Diagnosis ◽  
Demonstration Project ◽  
National Goal ◽  
Health Delivery

Abstract Background The Malaria Elimination Demonstration Project (MEDP) maintained a workforce of 235 Village Malaria Workers (VMWs) and 25 Malaria Field Coordinators (MFCs) to conduct disease surveillance, case management, IEC/BCC activities, capacity building, and monitoring of vector control activities in 1233 villages of Mandla, a high malaria endemic district of Madhya Pradesh in central India. Methods The induction training was conducted for 3 days on malaria diagnosis, treatment, prevention, and ethics. All trainings were assessed using a pre and post-training assessment questionnaire, with 70% marks as qualifying threshold. The questionnaire was divided into three thematic areas viz. general knowledge related to malaria (KAP), diagnosis and treatment (DXRX), and vector control (PVC). Results In 2017, the project trained 330 candidates, followed by 243 and 247 candidates in 2018 and 2019, respectively. 94.3% candidates passed after a single training session. Almost all (95%) candidates showed improvement in knowledge after the training with 4% showing no effect and 1% showing deterioration. Progressive improvement in scores of 2017 cohort was seen along with significant improvement in performance of candidates in 2019 after the introduction of systematic monitoring and ‘shadowing’ training exercises. Conclusion The project has successfully demonstrated the value of recruitment of workers from the study area, outcome of training, and performance evaluation of field staff in malaria elimination programme. This careful strategy of recruitment and training resulted in a work-force that was capable of independently conducting surveillance, case management, vector control, and Information Education Communication/Behaviour Change Communication (IEC/BCC). The learnings of this study, including the training modules and monitoring processes, can be used to train the health delivery staff for achieving national goal for malaria elimination by 2030. Similar training and monitoring programmes could also be used for other public health delivery programmes.

scholarly journals Relationships between test positivity rate, total laboratory confirmed cases of malaria, and malaria incidence in high burden settings of Uganda: an ecological analysis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Jaffer Okiring ◽  
Adrienne Epstein ◽  
Jane F. Namuganga ◽  
Victor Kamya ◽  
Asadu Sserwanga ◽  
...  
Keyword(s):  
Regression Models ◽  
Malaria Incidence ◽  
Temporal Changes ◽  
Linear Regression Models ◽  
High Burden ◽  
Exponential Regression ◽  
Malaria Morbidity ◽  
Laboratory Test Results ◽  
Combining Data ◽  
Catchment Areas

Abstract Background Malaria surveillance is critical for monitoring changes in malaria morbidity over time. National Malaria Control Programmes often rely on surrogate measures of malaria incidence, including the test positivity rate (TPR) and total laboratory confirmed cases of malaria (TCM), to monitor trends in malaria morbidity. However, there are limited data on the accuracy of TPR and TCM for predicting temporal changes in malaria incidence, especially in high burden settings. Methods This study leveraged data from 5 malaria reference centres (MRCs) located in high burden settings over a 15-month period from November 2018 through January 2020 as part of an enhanced health facility-based surveillance system established in Uganda. Individual level data were collected from all outpatients including demographics, laboratory test results, and village of residence. Estimates of malaria incidence were derived from catchment areas around the MRCs. Temporal relationships between monthly aggregate measures of TPR and TCM relative to estimates of malaria incidence were examined using linear and exponential regression models. Results A total of 149,739 outpatient visits to the 5 MRCs were recorded. Overall, malaria was suspected in 73.4% of visits, 99.1% of patients with suspected malaria received a diagnostic test, and 69.7% of those tested for malaria were positive. Temporal correlations between monthly measures of TPR and malaria incidence using linear and exponential regression models were relatively poor, with small changes in TPR frequently associated with large changes in malaria incidence. Linear regression models of temporal changes in TCM provided the most parsimonious and accurate predictor of changes in malaria incidence, with adjusted R2 values ranging from 0.81 to 0.98 across the 5 MRCs. However, the slope of the regression lines indicating the change in malaria incidence per unit change in TCM varied from 0.57 to 2.13 across the 5 MRCs, and when combining data across all 5 sites, the R2 value reduced to 0.38. Conclusions In high malaria burden areas of Uganda, site-specific temporal changes in TCM had a strong linear relationship with malaria incidence and were a more useful metric than TPR. However, caution should be taken when comparing changes in TCM across sites.

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