Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy

Out-of-hospital deaths in Mongolia: a nationwide cohort study on the proportion, causes, and potential impact of emergency and critical care services

Background

Little is known about the proportion and causes of out-of-hospital deaths in Mongolia. In this study, we aimed to determine the proportion and causes of out-of-hospital deaths in Mongolia during a six-month observation period before the COVID-19 pandemic.

Methods

In a retrospective study, the Mongolian National Death Registry was screened for all deaths occurring from 01 to 06/2020. The proportion and causes of out-of-hospital deaths, causes of out-of-hospital deaths likely treatable by emergency/critical care interventions, as well as sex, regional and seasonal differences in the proportion and causes of out-of-hospital deaths were determined. The primary endpoint was the proportion and causes of out-of-hospital death in children and adults. Descriptive statistical methods, the Fisher's Exact, multirow Chi2-or Mann-Whitney-U-rank sum tests were used for data analysis.

Findings

Five-thousand-five-hundred-fifty-three of 7762 deaths (71.5%) occurred outside of a hospital. The proportion of out-of-hospital deaths was lower in children than adults (39.3% vs. 74.8%, p < 0.001). Trauma, chronic neurological diseases, lower respiratory tract infections, congenital birth defects, and neonatal disorders were the causes of out-of-hospital deaths resulting in most years of life lost in children. In adults, chronic heart diseases, trauma, liver cancer, poisonings, and self-harm caused the highest burden of premature mortality. The proportion of out-of-hospital deaths did not differ between females and males (70.5% vs. 72.2%, p = 0.09). The proportion (all, p < 0.001; adults, p < 0.001; children, p < 0.001) and causes (adults, p < 0.001; children, p < 0.001) of out-of-hospital deaths differed between Mongolian regions and Ulaanbaatar. The proportion of out-of-hospital deaths was higher during winter than spring/summer months (72.3% vs. 69.9%, p = 0.03). An expert panel estimated that 49.3% of out-of-hospital deaths were likely treatable by emergency/critical care interventions.

Interpretation

With regional and seasonal variations, about 75% of Mongolian adults and 40% of Mongolian children died outside of a hospital. Heart diseases, trauma, cancer, and poisonings resulted in most years of life lost. About half of the causes of out-of-hospital deaths could be treated by emergency/critical care interventions.

Funding

Institutional funding.

Cardiovascular disease mortality based on verbal autopsy in low- and middle-income countries: a systematic review

Objective

To conduct a systematic review of verbal autopsy studies in low- and middle-income countries to estimate the fraction of deaths due to cardiovascular disease.

Method

We searched MEDLINE®, Embase® and Scopus databases for verbal autopsy studies in low- and middle-income countries that reported deaths from cardiovascular disease. Two reviewers screened the studies, extracted data and assessed study quality. We calculated cause-specific mortality fractions for cardiovascular disease for each study, both overall and according to age, sex, geographical location and type of cardiovascular disease.

Findings

We identified 42 studies for inclusion in the review. Overall, the cardiovascular disease cause-specific mortality fractions for people aged 15 years and above was 22.9%. This fraction was generally higher for males (24.7%) than females (20.9%), but the pattern varied across World Health Organization regions. The highest cardiovascular disease mortality fraction was reported in the Western Pacific Region (26.3%), followed by the South-East Asia Region (24.1%) and the African Region (12.7%). The cardiovascular disease mortality fraction was higher in urban than rural populations in all regions, except the South-East Asia Region. The mortality fraction for ischaemic heart disease (12.3%) was higher than that for stroke (8.7%). Overall, 69.4% of cardiovascular disease deaths were reported in people aged 65 years and above.

Conclusion

The burden of cardiovascular disease deaths outside health-care settings in low- and middle-income countries is substantial. Increasing coverage of verbal autopsies in these countries could help fill gaps in cardiovascular disease mortality data and improve monitoring of national, regional and global health goals.

Levels and trends in mortality and causes of death among women of reproductive age in Bangladesh: Findings from three national surveys

Background

Information on the mortality rate and proportional cause-specific mortality is essential for identifying diseases of public health importance, design programmes, and formulating policies, but such data on women of reproductive age in Bangladesh is limited.

Methods

We analysed secondary data from the 2001, 2010, and 2016 rounds of the nationally representative Bangladesh Maternal Mortality and Health Care Survey (BMMS) to estimate mortality rates and causes of death among women aged 15-49 years. We collected information on causes of death three years prior to each survey using a country-adapted version of the World Health Organization (WHO) verbal autopsy (VA) questionnaire. Trained physicians independently reviewed the VA questionnaire and assigned a cause of death using the International Classification of Diseases (ICD) codes. The analysis included mortality rates and proportional mortality showing overall and age-specific causes of death.

Results

The overall mortality rates for women aged 15-49 years decreased over time, from 190 per 100 000 years of observation in the 2001 BMMS, to 121 per 100 000 in the 2010 BMMS, to 116 per 100 000 in the 2016 BMMS. Age-specific mortality showed a similar downward pattern. The three diseases contributing the most to mortality were maternal causes (13-20%), circulatory system diseases (15-23%), and malignancy (14-24%). The relative position of these three diseases changed between the three surveys. From the 2001 BMMS to the 2010 BMMS and subsequently to the 2016 BMMS, the number of deaths from non-communicable diseases (e.g. cardiovascular diseases and malignancies) increased from 29% to 38% to 48%. Maternal causes led to the highest proportion of deaths among 20-34-year-olds in all three surveys (25-32%), while suicide was the number one cause of death for teenagers (19-22%). Circulatory system diseases and malignancy were the two leading causes of death for older women aged 35-49 years (40%-67%).

Conclusions

There was a gradual shift in the causes of death from communicable to non-communicable diseases among women of reproductive age in Bangladesh. Suicide as the primary cause of death among teenage girls demands urgent attention for prevention.

Assessment of quality of life (QOL) in cancer patients attending oncology unit of a Teaching Hospital in Bangladesh

BACKGROUND

The quality of life (QoL) of a cancer patient is their perception of their physical, functional, psychological, and social well-being. QoL is one of the most important factors to consider when treating someone with cancer and during follow-up. The aim of this study was to understand the state of QoL among cancer patients in Bangladesh and to determine the factors that affect it.

METHODS

This cross-sectional study was conducted on 210 cancer patients who attended the oncology unit of Delta Medical College & Hospital, Dhaka during the period between 1 May 2022 and 31 August 2022. Data were collected using the Bengali version of the European Organization for Research and Treatment of Cancer (EORTC) questionnaire.

RESULTS

The study reported a high number of female cancer patients (67.6%), who were married, Muslims by religion, and non-residents of Dhaka. Breast cancer was more common among women (31.43%), while lung and upper respiratory tract cancer was more prevalent among men (19.05%). The majority of the patients (86.19%) were diagnosed with cancer in the past year. The overall mean score for functional scales was higher for physical functioning (54.92) whereas it was lower for social functioning (38.89). The highest score on the symptom scale was for financial problems (63.02), while the lowest was for diarrhea (33.01). The overall QoL score of cancer patients in the study was 47.98 and it was lower for males (45.71) compared to females (49.10).

CONCLUSIONS

The overall QoL was poor among Bangladeshi cancer patients compared to those in developed countries. A low QoL score was observed for social and emotional functions. Financial difficulty was the main reason behind the lower QoL score on the symptom scale.

Factors Responsible for Prehospital Delay in Patients with Acute Coronary Syndrome in Bangladesh

Background: Acute coronary syndrome (ACS) remains a cause of high morbidity and mortality among adults, despite advances in treatment. Treatment modality and outcomes of ACS mainly depend on the time yielded since the onset of symptoms. Prehospital delay is the time between the onset of myocardial ischemia/infarction symptoms and arrival at the hospital, where either pharmacological or interventional revascularization is available. This delay remains unacceptably long in many countries worldwide, including Bangladesh. The current study investigates several sociodemographic characteristics as well as clinical, social, and treatment-seeking behaviors, with an aim to uncover the factors responsible for the decision time to get medical help and home-to-hospital delay. Materials and Methods: A prospective cross-sectional study was conducted between July 2019 and June 2020 in 21 district hospitals and 6 medical college hospitals where cardiac care facilities were available. The population selected for this study was patients with ACS who visited the studied hospitals during the study period. Following confirmation of ACS, a semi-structured data sheet was used to collect the patient data and was subsequently analyzed. Results: This study evaluated 678 ACS patients from 30 districts. The majority of the patients were male (81.9%), married (98.2%), rural residents (79.2), middle-aged (40–60 years of age) (55.8%), low-income holders (89.4%), and overweight (56.9%). It was found that 37.5% of the patients received their first medical care after 12 h of first symptom presentation. The study found that the patients’ age, residence, education, and employment status were significant factors associated with prehospital delay. The patients with previous myocardial infarction (MI) and chest pain arrived significantly earlier at the hospital following ACS onset. Location of symptom onset, first medical contact with a private physician, distance from symptom onset location to location of first medical contact, the decision about hospitalization, ignorance of symptoms, and mode of transportation were significantly associated with prehospital delay. Conclusions: Several factors of prehospital delay of the ACS patients in Bangladesh have been described in this study. The findings of this study may help the national health management system identify the factors related to treatment delay in ACS and thus reduce ACS-related morbidity and mortality.

Assessing the Diagnostic Accuracy of Physicians for Home Death Certification in Shanghai: Application of SmartVA

Approximately 30% of deaths in Shanghai either occur at home or are not medically attended. The recorded cause of death (COD) in these cases may not be reliable. We applied the Smart Verbal Autopsy (VA) tool to assign the COD for a representative sample of home deaths certified by 16 community health centers (CHCs) from three districts in Shanghai, from December 2017 to June 2018. The results were compared with diagnoses from routine practice to ascertain the added value of using SmartVA. Overall, cause-specific mortality fraction (CSMF) accuracy improved from 0.93 (93%) to 0.96 after the application of SmartVA. A comparison with a “gold standard (GS)” diagnoses obtained from a parallel medical record review investigation found that 86.3% of the initial diagnoses made by the CHCs were assigned the correct COD, increasing to 90.5% after the application of SmartVA. We conclude that routine application of SmartVA is not indicated for general use in CHCs, although the tool did improve diagnostic accuracy for residual causes, such as other or ill-defined cancers and non-communicable diseases.

Integrating community-based verbal autopsy into civil registration and vital statistics: lessons learnt from five countries

This paper describes the lessons from scaling up a verbal autopsy (VA) intervention to improve data about causes of death according to a nine-domain framework: governance, design, operations, human resources, financing, infrastructure, logistics, information technologies and data quality assurance. We use experiences from China, Myanmar, Papua New Guinea, Philippines and Solomon Islands to explore how VA has been successfully implemented in different contexts, to guide other countries in their VA implementation. The governance structure for VA implementation comprised a multidisciplinary team of technical experts, implementers and staff at different levels within ministries. A staged approach to VA implementation involved scoping and mapping of death registration processes, followed by pretest and pilot phases which allowed for redesign before a phased scale-up. Existing health workforce in countries were trained to conduct the VA interviews as part of their routine role. Costs included training and compensation for the VA interviewers, information technology (IT) infrastructure costs, advocacy and dissemination, which were borne by the funding agency in early stages of implementation. The complexity of the necessary infrastructure, logistics and IT support required for VA increased with scale-up. Quality assurance was built into the different phases of the implementation. VA as a source of cause of death data for community deaths will be needed for some time. With the right technical and political support, countries can scale up this intervention to ensure ongoing collection of quality and timely information on community deaths for use in health planning and better monitoring of national and global health goals.

Are there sex differences in completeness of death registration and quality of cause of death statistics? Results from a global analysis

INTRODUCTION

Recent studies suggest that more male than female deaths are registered and a higher proportion of female deaths are certified as 'garbage' causes (ie, vague or ill-defined causes of limited policy value). This can reduce the utility of sex-specific mortality statistics for governments to address health problems. To assess whether there are sex differences in completeness and quality of data from civil registration and vital statistics systems, we analysed available global death registration and cause of death data.

METHODS

Completeness of death registration for females and males was compared in 112 countries, and in subsets of countries with incomplete death registration. For 64 countries with medical certificate of cause of death data, the level, severity and type of garbage causes was compared between females and males, standardised for the older age distribution and different cause composition of female compared with male deaths.

RESULTS

For 42 countries with completeness of less than 95% (both sexes), average female completeness was 1.2 percentage points (p.p.) lower (95% uncertainty interval (UI) -2.5 to -0.2 p.p.) than for males. Aggregate female completeness for these countries was 7.1 p.p. lower (95% UI -12.2 to -2.0 p.p.; female 72.9%, male 80.1%), due to much higher male completeness in nine countries including India. Garbage causes were higher for females than males in 58 of 64 countries (statistically significant in 48 countries), but only by an average 1.4 p.p. (1.3-1.6 p.p.); results were consistent by severity and type of garbage.

CONCLUSION

Although in most countries analysed there was no clear bias against females in death registration, there was clear evidence in a few countries of systematic undercounting of female deaths which substantially reduces the utility of mortality data. In countries with cause of death data, it was only of marginally poorer quality for females than males.