|Verbal autopsy completion rate and factors associated with undetermined cause of death in a rural resource-poor setting of Tanzania.|
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|PMID: 21819584 Owner: NLM Status: PubMed-not-MEDLINE|
|BACKGROUND: Verbal autopsy (VA) is a widely used tool to assign probable cause of death in areas with inadequate vital registration systems. Its uses in priority setting and health planning are well documented in sub-Saharan Africa (SSA) and Asia. However, there is a lack of data related to VA processing and completion rates in assigning causes of death in a community. There is also a lack of data on factors associated with undetermined causes of death documented in SSA. There is a need for such information for understanding the gaps in VA processing and better estimating disease burden.
OBJECTIVE: The study's intent was to determine the completion rate of VA and factors associated with assigning undetermined causes of death in rural Tanzania.
METHODS: A database of deaths reported from the Ifakara Health and Demographic Surveillance System from 2002 to 2007 was used. Completion rates were determined at the following stages of processing: 1) death identified; 2) VA interviews conducted; 3) VA forms submitted to physicians; 4) coding and assigning of cause of death. Logistic regression was used to determine factors associated with deaths coded as "undetermined."
RESULTS: The completion rate of VA after identification of death and the VA interview ranged from 83% in 2002 and 89% in 2007. Ninety-four percent of deaths submitted to physicians were assigned a specific cause, with 31% of the causes coded as undetermined. Neonates and child deaths that occurred outside health facilities were associated with a high rate of undetermined classification (33%, odds ratio [OR] = 1.33, 95% confidence interval [CI] (1.05, 1.67), p = 0.016). Respondents reporting high education levels were less likely to be associated with deaths that were classified as undetermined (24%, OR = 0.76, 95% CI (0.60, -0.96), p = 0.023). Being a child of the deceased compared to a partner (husband or wife) was more likely to be associated with undetermined cause of death classification (OR = 1.35, 95% CI (1.04, 1.75), p = 0.023).
CONCLUSION: Every year, there is a high completion rate of VA in the initial stages of processing; however, a number of VAs are lost during the processing. Most of the losses occur at the final step, physicians' determination of cause of death. The type of respondent and place of death had a significant effect on final determination of the plausible cause of death. The finding provides some insight into the factors affecting full coverage of verbal autopsy diagnosis and the limitations of causes of death based on VA in SSA. Although physician review is the most commonly used method in ascertaining probable cause of death, we suggest further work needs to be done to address the challenges faced by physicians in interpreting VA forms. There is need for an alternative to or improvement of the methods of physician review.
|Mathew A Mwanyangala; Honorathy M Urassa; Jensen C Rutashobya; Chrisostom C Mahutanga; Angelina M Lutambi; Deodatus V Maliti; Honorati M Masanja; Salim K Abdulla; Rose N Lema|
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|Type: Journal Article Date: 2011-08-05|
|Title: Population health metrics Volume: 9 ISSN: 1478-7954 ISO Abbreviation: Popul Health Metr Publication Date: 2011|
|Created Date: 2011-08-25 Completed Date: 2011-11-10 Revised Date: 2012-08-03|
Medline Journal Info:
|Nlm Unique ID: 101178411 Medline TA: Popul Health Metr Country: England|
|Languages: eng Pagination: 41 Citation Subset: -|
|Ifakara Health Institute, Off passage, P,o,Box 53, Off Mlabani, Ifakara, Kilombero, Morogoro, Tanzania. email@example.com.|
|APA/MLA Format Download EndNote Download BibTex|
Journal ID (nlm-ta): Popul Health Metr
Publisher: BioMed Central
Copyright ©2011 Mwanyangala et al; licensee BioMed Central Ltd.
Received Day: 9 Month: 3 Year: 2011
Accepted Day: 5 Month: 8 Year: 2011
collection publication date: Year: 2011
Electronic publication date: Day: 5 Month: 8 Year: 2011
Volume: 9First Page: 41 Last Page: 41
Publisher Id: 1478-7954-9-41
PubMed Id: 21819584
|Verbal autopsy completion rate and factors associated with undetermined cause of death in a rural resource-poor setting of Tanzania|
|Mathew A Mwanyangala1||Email: firstname.lastname@example.org|
|Honorathy M Urassa1||Email: email@example.com|
|Jensen C Rutashobya1||Email: firstname.lastname@example.org|
|Chrisostom C Mahutanga1||Email: email@example.com|
|Angelina M Lutambi12||Email: firstname.lastname@example.org|
|Deodatus V Maliti1||Email: email@example.com|
|Honorati M Masanja12||Email: firstname.lastname@example.org|
|Salim K Abdulla12||Email: email@example.com|
|Rose N Lema12||Email: firstname.lastname@example.org|
1Ifakara Health Institute, Off passage, P.o.Box 53, Off Mlabani, Ifakara, Kilombero, Morogoro, Tanzania
2Ifakara Health Institute, Plot 463, Kiko Avenue, Mikocheni, P.o.Box 78373, Dar es Salaam, Tanzania
Verbal autopsy (VA) is a commonly used tool to ascertain causes of death. In many developing countries, cause of death data are limited because most deaths take place outside health facilities . In addition, in some countries, vital statistics from vital registration systems are incomplete or do not exist. As a result, VA is often necessary for cause of death data determination [2-4] and results from VA are widely used for health planning, priority setting, monitoring, and evaluations [5-7]. In sub-Saharan Africa (SSA) and Asia, VA is used to obtain estimates on the distribution of causes of death and has become a routinely used tool to provide information on the burden of the disease [5,8-10]. VA has been shown to provide the best results to obtain the specific causes of death in most of SSA . In order to play this potential role, VA methodology needs to be generalizable and responsive to community needs.
VA is a process involving completion of death identifications, VA interviews, and cause of death ascertainment. VA is based on the premises that the primary caregiver, usually a family member, can recall, volunteer, and recognize symptoms experienced by the deceased that can be interpreted later to derive a probable cause of death. Several studies have documented challenges with the process of the interview in terms of interviewers, respondents, recall period, and language [12-15]. There have been problems with questionnaires, such as grouping and comprehensiveness of VA forms, closed- versus open-ended questions, and linguistic appropriateness [16-19]. Another overarching issue is the diversity in VA questionnaires used across different countries; although, recently, there has been great effort internationally to harmonize these tools [13-16]. Also, there are different methods for interpreting VA data to derive the probable causes of death including physician review, algorithms, probabilistic methods, and use of artificial neural networks.
The process of VA includes identification of deaths in the community, documentation of the event [20-22], and interview of the caretaker of the deceased person. However, not all reported deaths result in interviews or specific assignment of causes of death. There has been limited systematic documentation of the completion rates at each step of the VA process, ending when a cause of death is assigned. The current study set out to determine the completion rates of the VA process and factors associated with failure to assign a cause of death.
It is important to understand the gaps in current VA methods and explore how improve them . Such information is needed for optimal design of VA tools that will enable better estimates of disease burden and understanding of the limitations of VA questionnaire administration from the stage of identifying a death to the end point of assigning a cause of death. Better understanding of the VA process will contribute in decision-making on whether to use physician review, algorithms, artificial neural networks, or probabilistic methods to interpret and assign causes of death to estimate cause-specific mortality in rural settings of Tanzania.
The Ifakara Health and Demographic Surveillance System (HDSS) is a part of the INDEPTH Network http://www.indepth-network.org. It was established in 1996, and since January 1997, all individuals are followed through households visits once in every four months. The surveillance area covers a total of 2,400 km2 of Guinea savanna in the floodplain of the Kilombero River, which divides the two districts of Kilombero and Ulanga in the Morogoro region. During the household visit the field interviewer updates and records basic demographic events including deaths, birth, pregnancy, and migration. Since, 2002 all deaths reported were followed with VA in order to ascertain the possible cause of death.
The HDSS field interviewers identify and register deaths during the routine household visit. During that visit, the interviewer informs the respondent that within a specified period of time another person will make a visit to document details about the death. Each death is recorded in forms that are collected, as well as in household register books. These forms are submitted to a data clerk for logging and to data management for entry in the database. The lists of deaths per VA supervisor zone are presented with basic demographic and household information in order to facilitate finding the residency of the deceased.
The VA is a postmortem in-depth interview with the primary caregivers of the deceased . VA questionnaires are structured into sections, including background, short narrative history, checklist of signs and symptoms (including duration), list of health services used during the terminal illness, and medical evidence (if any). The history of the illness elicits an unprompted account of the trend of events that eventually led to the death. The questionnaires are age-specific; there are separate forms for neonates (0 to 28 days), children (29 days to 12 years), and adults (above 12 years). Therefore, it is important to check on the age at death of the deceased to know the appropriate questionnaire to use. The tools are widely used in most of HDSS [8,23-25]. The questionnaire used was the 2002 VA form from INDEPTH, based on the form from WHO/CDS/CSR/ISR/99.4, which has been well described .
A separate team of interviewers (specifically trained to conduct VAs) and administer the age-specific VA tool interview a family member who was closest to the deceased during the terminal illness and death. The interview is conducted after 40 days after the date of death to allow for the mourning period.
Each completed form is submitted to two physicians independently to ascertain the probable cause of death; in case of discordance, a third physician is invited and majority rule is applied. If the third physician determines a different cause, the case is coded as undetermined [26,27]. This is the most common method used to assign causes of death using VA [26,28-30]. Classification from the 10th revision of the International Classification of Diseases (ICD-10) was used. Physicians are updated on coding with trainings conducted at least once a year. In Ifakara HDSS off-site physicians are used deliberately to avoid potential bias in coding by those who have an intimate knowledge of the population and intervention.
Four indicators are used to assess completion rates at each stage in the process in assigning causes of death: 1) number of interviews/total number of deaths identified in the community; 2) number of forms completed (i.e., deaths)/total number of forms submitted to the physicians; 3) number of deaths coded with a specific cause assigned/total number of completed forms submitted for coding; and 4) number of deaths coded with specific causes assigned/total number of forms reviewed for coding. All of the proportions are converted to percents.
Variables related to household compositions and socio-demographic characteristics of the respondents were included: residing with father or mother, number of deaths in the household, place of death, age category at death (neonates, children, or adult), the relationship of the respondent with the deceased, level of education of the respondent, and age and sex of the respondent.
The data collected within the HDSS framework were used for analysis. Variables included in the analysis were extracted from different files of the Ifakara HDSS database. We performed the descriptive analysis by age and sex and by other variables, including the respondent's relationship to the deceased, the relationship to the head of household, and the place of death. The proportions were expressed as percentages and used to determine the completion rates in each step of the VA processing. All percentages refer to the preceding step in the VA processing sequence. Factors associated with undetermined cause of death were determined using a univariate logistic regression model. In order to adequately adjust for confounders, multivariate logistic regression was also used to determine association between selected independent variables and the outcome variables ("undetermined" cause of death). Two models were fitted, one for neonates and children and the other for adult deaths. Stata version 10 was used for analysis.
From 2002 to 2007, a total of 5,027 deaths (an average of 838 per year) were identified by the Ifakara HDSS field interviewers during the routine rounds. Of the deaths, 50% were males. The mean age at death was 31 years for the entire period of the study.
Fifty-six percent of all deaths were those aged 12 years and above. Most respondents (68%) had completed primary education, and 34% of the respondents for adult deaths were either the deceased's son or daughter. Sixty-eight percent of deaths occurred outside formal health facilities. Deaths ranged from one to four per household over the period of analysis. Over the study period, 38% of respondents were children of the heads of household. About 52% and 65% of the respondents reported residing with their mothers and fathers, respectively. Swahili was the main language used in the interviews during the VA in Ifakara HDSS (Table 1).
Of the deaths reported during the study, 4,244 (84%) had VA interviews conducted. The completion rate in conducting the VA over that period ranged from 83% in 2002 to 89% in 2007. Of the 4,094 VA forms submitted to physicians for ascertaining the possible cause of death, 94% ended with a cause of death specified. The coding completeness was lowest in 2003 (92%) compared to other years. There were significant differences across years in the number of deaths assigned a cause of death as undetermined (14% in 2007 and 40% in 2004) (Figure 1).
During the period of analysis, 16% of the deaths identified for VA were lost at the stage between community identification and VA interviews, 4% were lost between VA interviews and physicians' determination of cause of death, and 6% were lost due to logistic issues when sending forms to physicians. A total of 1,178 (23%) of the deaths identified were lost before cause of death assignment. In addition, physicians did not assign a specific cause of death (undetermined death assignment) for 1,174 respondents that were interviewed. Over the period of analysis, 2352 (47%) deaths were not assigned a specific cause, whether because they were lost or they were assigned an undetermined cause (Figure 2).
The current study has shown that about 31% of the death forms submitted to clinicians ended with an undetermined cause of death. For neonatal and childhood deaths, age at death, the level of education of the respondent, and place of death were associated with likelihood of undetermined cause of death. After adjusting for confounders, the neonatal and childhood deaths that occurred outside health facilities were significantly more likely, 33%, to end with undetermined cause (odds ratio [OR] = 1.33, 95% confidence interval [CI] (1.05, 1.67), p = 0.016). If the respondent had attained a secondary level of education, the death was 24% less likely to end with an undetermined cause compared with those who had no education (OR = 0.76, CI (0.60, 0.96), p = 0.023). If the respondent was related to the deceased in a way besides mother, father, or grandmother, an undetermined cause assignment was significantly more likely, but its significance disappeared after adjusting for other variables (OR = 1.57, CI (0.66, 3.77), p = 0.309).
Among adult deaths (12 years and above), the relationship with the respondent was the only variable significantly associated with undetermined cause of death. A respondent who was a child of the deceased increased the odds of the death being coded as undetermined compared to respondents that were partners (husband or wife) (OR = 1.35, CI (1.04, 1.75), p = 0.023) (Table 2).
The current analysis has found that annual VA interview completion rates are high and similar with those found in other studies [8,31]. The verbal autopsy interview was completed for 84% of the deaths identified by Ifakara HDSS between 2002 and 2007. This is considered high in resource-constrained rural settings [22,32]. This achievement reflects the strength of the HDSS system in tracking vital events, the field operation, and the timing of the VA interviews. All interviews were conducted in Swahili, unlike other studies that reported language as a limit in processing the verbal autopsy . For the 16% of the deaths for which VA interviews were not conducted, this was likely due to outmigration of the care takers within or soon after the 40 days of mourning. Refusal is also a potentially limiting factor for conducting the VA interviews. These factors have not been quantified in this study.
The subsequent stages in the process of assigning cause of death presented more challenges than the community identification of deaths. This poses a risk of underestimation of the burden of disease. Logistic issues preventing submission of the VA forms to physicians for coding causes a significant proportion of forms to have missing causes of death. In this study, 4% of the forms were not submitted to the physicians.
Furthermore, although the undetermined cause of death can be redistributed among the three causes as assigned by different physicians, still there is high proportion (31%) of deaths that were not assigned specific causes of death (they were coded as undetermined cause). Most of the undetermined cases were children and adults. This contradicts other studies that reported problems applying VA to neonatal deaths [17,34,35]. This observation might be due to the fact that most of the respondents to the neonatal deaths were the mothers, fathers, or grandmothers, who were likely to have good understanding of the illness and were likely very close to the deceased. These findings underscore the importance of the relationship of the deceased and the VA respondent.
A significant number of deaths occurred outside health facilities, and this underscores the continued relevance of VA in determination of cause of death in settings with inadequate vital registration systems . As observed in this study, children who died outside of health facilities were more likely to be coded as undetermined. As this group is the target for VA, perhaps the tool needs to be improved further to identify the most appropriate respondent.
Another point to note is that the proportion of specific causes coded as undetermined varied significantly across years but improved markedly in 2007. This might be due to the fact that in 2007 there was more than one retraining session, unlike in other years.
The current analysis has shown the continued relevance of VA as tool for determination of cause of death in settings without or limited vital registration systems. The results raise several concerns about the continuing use of physicians in reviewing and interpreting VA data [36,37].
There is high completion rate in the initial stages of VA, but a number of deaths are still lost during the later stages of VA process. The highest proportion of loss was due to physicians not assigning a definite cause of death after receiving the VA forms. Results suggest that the choice of the respondent and the location of the death have an impact on the final assignment of the cause of death across all age groups. This study has provided insight into factors affecting full coverage of verbal autopsy diagnoses and limitations to using verbal autopsy-based causes of death in SSA. Although physician review is the most commonly used method to ascertain probable causes of death, it may have limitations, and further work is needed to provide more information on the challenges faced by physicians in interpreting VA forms. There may be a need to identify alternative methods or improve physician review.
SSA: sub-Saharan Africa; HDSS: Health and Demographic Surveillance System; VA: verbal autopsy.
The authors declare that they have no competing interests.
MAM is responsible for coordinating the HDSS, data preparation for analysis, performing all data analysis and interpretation, drafting and revising the manuscript. MAM gave final approval for submission. RN participated in coordination the HDSS and provided guidance for reviewing and data analysis. HM, AL, HU, and SA reviewed the statistical analysis and the manuscript. CM and JC participated in managing the all field data collection in the period of analysis.
All authors have read and approved the final manuscript.
I gratefully acknowledge the staff of the Ifakara Health Demographic Surveillance System, VA supervisors, all Ifakara Health Institute staff, the HDSS community, INDEPTH Network, Novartis Foundation, Swiss Tropical and Public Health Institute, the Tanzania Ministry of Health and Social Welfare, USAID, and the London School of Hygiene & Tropical Medicine for their generous support in running the surveillance system.
|Asuzu MC,Johnson OO,Owoaje ET,Kaufman JS,Rotimi C,Cooper RS,The Idikan adult mortality studyAfrican journal of medicine and medical sciencesYear: 200029211511811379440|
|Kamugisha ML,Gesase S,Mlwilo TD,Mmbando BP,Segeja MD,Minja DT,Massaga JJ,Msangeni HA,Ishengoma DR,Lemnge MM,Malaria specific mortality in lowlands and highlands of Muheza district, north-eastern TanzaniaTanzania health research bulletinYear: 200791323717547098|
|Yang G,Rao C,Ma J,Wang L,Wan X,Dubrovsky G,Lopez AD,Validation of verbal autopsy procedures for adult deaths in ChinaInternational journal of epidemiologyYear: 200635374174810.1093/ije/dyi18116144861|
|Aspray TJ,The use of verbal autopsy in attributing cause of death from epilepsyEpilepsiaYear: 200546Suppl 11151716393173|
|Soleman N,Chandramohan D,Shibuya K,Verbal autopsy: current practices and challengesBulletin of the World Health OrganizationYear: 200684323924510.2471/BLT.05.02700316583084|
|McLarty DG,Unwin N,Kitange HM,Alberti KG,Diabetes mellitus as a cause of death in sub-Saharan Africa: results of a community-based study in Tanzania. The Adult Morbidity and Mortality ProjectDiabet MedYear: 1996131199099410.1002/(SICI)1096-9136(199611)13:11<990::AID-DIA265>3.0.CO;2-48946159|
|Kamali A,Wagner HU,Nakiyingi J,Sabiiti I,Kengeya-Kayondo JF,Mulder DW,Verbal autopsy as a tool for diagnosing HIV-related adult deaths in rural UgandaInternational journal of epidemiologyYear: 199625367968410.1093/ije/25.3.6798671573|
|Sacarlal J,Nhacolo AQ,Sigauque B,Nhalungo DA,Abacassamo F,Sacoor CN,Aide P,Machevo S,Nhampossa T,Macete EV,et al. A 10 year study of the cause of death in children under 15 years in Manhica, MozambiqueBMC public healthYear: 200996710.1186/1471-2458-9-6719236726|
|Parkar SR,Nagarsekar B,Weiss MG,Explaining suicide in an urban slum of Mumbai, India: a sociocultural autopsyCrisisYear: 200930419220119933065|
|Gajalakshmi V,Peto R,Verbal autopsy of 80,000 adult deaths in Tamilnadu, South IndiaBMC public healthYear: 200444710.1186/1471-2458-4-4715488138|
|Kaufman JS,Asuzu MC,Rotimi CN,Johnson OO,Owoaje EE,Cooper RS,The absence of adult mortality data for sub-Saharan Africa: a practical solutionBulletin of the World Health OrganizationYear: 19977553893959447773|
|Mirza NM,Macharia WM,Wafula EM,Agwanda RO,Onyango FE,Verbal autopsy: a tool for determining cause of death in a communityEast African medical journalYear: 199067106936982282890|
|Joshi R,Kengne AP,Neal B,Methodological trends in studies based on verbal autopsies before and after published guidelinesBulletin of the World Health OrganizationYear: 200987967868210.2471/BLT.07.04928819784447|
|Snow RW,Armstrong JR,Forster D,Winstanley MT,Marsh VM,Newton CR,Waruiru C,Mwangi I,Winstanley PA,Marsh K,Childhood deaths in Africa: uses and limitations of verbal autopsiesLancetYear: 1992340881535135510.1016/0140-6736(92)91414-41353814|
|Kumar V,Datta N,Lay reporting and verbal autopsy in assessment of infant mortalityIndian journal of pediatricsYear: 198653667267410.1007/BF027485493817991|
|van Eijk AM,Adazu K,Ofware P,Vulule J,Hamel M,Slutsker L,Causes of deaths using verbal autopsy among adolescents and adults in rural western KenyaTrop Med Int HealthYear: 200813101314132410.1111/j.1365-3156.2008.02136.x18721187|
|Thatte N,Kalter HD,Baqui AH,Williams EM,Darmstadt GL,Ascertaining causes of neonatal deaths using verbal autopsy: current methods and challengesJ PerinatolYear: 200929318719410.1038/jp.2008.13819110535|
|Kalaichandran A,Zakus D,The obstetric pathology of poverty: maternal mortality in Kep province, CambodiaWorld health & populationYear: 200792384718270505|
|Rosenstein MG,Romero M,Ramos S,Maternal mortality in Argentina: a closer look at women who die outside of the health systemMaternal and child health journalYear: 200812451952410.1007/s10995-007-0268-217713849|
|Huy TQ,Johansson A,Long NH,Reasons for not reporting deaths: a qualitative study in rural VietnamWorld health & populationYear: 200791142318270497|
|Setel PW,Rao C,Hemed Y,Whiting DR,Yang G,Chandramohan D,Alberti KG,Lopez AD,Core verbal autopsy procedures with comparative validation results from two countriesPLoS medicineYear: 200638e268.16942391|
|Campos D,Franca E,Loschi RH,Souza Mde F,[Verbal autopsy for investigating deaths from ill-defined causes in Minas Gerais State, Brazil]Cadernos de saude publica/Ministerio da Saude, Fundacao Oswaldo Cruz, Escola Nacional de Saude Publica26612211233|
|Deressa W,Fantahun M,Ali A,Malaria-related mortality based on verbal autopsy in an area of low endemicity in a predominantly rural population in EthiopiaMalaria journalYear: 2007612810.1186/1475-2875-6-12817883879|
|Huong DL,Minh HV,Vos T,Janlert U,Van do D,Byass P,Burden of premature mortality in rural Vietnam from 1999-2003: analyses from a Demographic Surveillance SitePopulation health metricsYear: 20064910.1186/1478-7954-4-916893472|
|Hammer GP,Some F,Muller O,Kynast-Wolf G,Kouyate B,Becher H,Pattern of cause-specific childhood mortality in a malaria endemic area of Burkina FasoMalaria journalYear: 200654710.1186/1475-2875-5-4716762069|
|Fikree FF,Azam SI,Berendes HW,Time to focus child survival programmes on the newborn: assessment of levels and causes of infant mortality in rural PakistanBulletin of the World Health OrganizationYear: 200280427127612075362|
|Garrib A,Jaffar S,Knight S,Bradshaw D,Bennish ML,Rates and causes of child mortality in an area of high HIV prevalence in rural South AfricaTrop Med Int HealthYear: 200611121841184810.1111/j.1365-3156.2006.01738.x17176349|
|Iriya N,Manji KP,Mbise RL,Verbal autopsy in establishing cause of perinatal deathEast African medical journalYear: 2002792828412380883|
|Bhandari N,Bahl R,Taneja S,Martines J,Bhan MK,Pathways to infant mortality in urban slums of Delhi, India: implications for improving the quality of community- and hospital-based programmesJournal of health, population, and nutritionYear: 200220214815512186195|
|Jafarey SN,Rizvi T,Koblinsky M,Kureshy N,Verbal autopsy of maternal deaths in two districts of Pakistan--filling information gapsJournal of health, population, and nutritionYear: 200927217018319489414|
|Ngo AD,Rao C,Hoa NP,Adair T,Chuc NT,Mortality patterns in Vietnam, 2006: Findings from a national verbal autopsy surveyBMC research notes378|
|Hetzel MW,Alba S,Fankhauser M,Mayumana I,Lengeler C,Obrist B,Nathan R,Makemba AM,Mshana C,Schulze A,et al. Malaria risk and access to prevention and treatment in the paddies of the Kilombero Valley, TanzaniaMalaria journalYear: 20087710.1186/1475-2875-7-718184430|
|Ba MG,Kodio B,Etard JF,[Verbal autopsy to measure maternal mortality in rural Senegal]Journal de gynecologie, obstetrique et biologie de la reproductionYear: 2003328 Pt 172873515067897|
|Marsh DR,Sadruddin S,Fikree FF,Krishnan C,Darmstadt GL,Validation of verbal autopsy to determine the cause of 137 neonatal deaths in Karachi, PakistanPaediatric and perinatal epidemiologyYear: 200317213214210.1046/j.1365-3016.2003.00475.x12675779|
|Morris SK,Bassani DG,Kumar R,Awasthi S,Paul VK,Jha P,Factors associated with physician agreement on verbal autopsy of over 27000 childhood deaths in IndiaPloS one53e9583|
|Oti SO,Kyobutungi C,Verbal autopsy interpretation: a comparative analysis of the InterVA model versus physician review in determining causes of death in the Nairobi DSSPopulation health metrics821|
|Ronsmans C,Vanneste AM,Chakraborty J,Van Ginneken J,A comparison of three verbal autopsy methods to ascertain levels and causes of maternal deaths in Matlab, BangladeshInternational journal of epidemiologyYear: 199827466066610.1093/ije/27.4.6609758122|
[Figure ID: F1]
The death distribution and completion rate in processing the VA.
[Figure ID: F2]
Forms lost in processing VA at Ifakara 2002-2007.
Socio-demographic characteristics of deaths and VA respondents
|Age at death (mean)ŧ||31|
|0 to 28 days||555||11.0|
|1 month to 12 years||1653||32.9|
|Above 12 years||2819||56.1|
|Sex of the deceasedŧ|
|Respondent's level of education|
|Relationship of the respondent with the deceased*|
|Relationship of the respondent with the deceased**|
|Relationship to the head of household|
|Residing with mother|
|Residing with father|
|Number of deaths per household|
|More than one||1905||44.9|
|Place of death|
|Outside health facility||2899||68.3|
|Undetermined cause of death assigned|
ŧ Includes all eligible deaths
* Adult deaths
** Neonatal and child deaths.
Factors associated with undetermined cause of deatha
|Neonates and children||Adults||Neonates and children||Adults|
|OR||CI (95%)||P||OR||CI (95%)||P||OR||CI (95%)||P||OR||CI (95%)||P|
|Respondent's level of education|
|Relationship of the respondent with the deceased*|
|Relationship of the respondent with the deceased* *|
|Relation to the head of household|
|Residing with mother|
|Place of death|
|Outside health facility||1.31||(1.04-1.64)||0.02||0.9||(0.74-1.09)||0.302||1.33||(1.05-1.67)||0.016||0.91||(0.74-1.11)||0.342|
** Neonatal and child deaths
* Adult deaths.
Keywords: Verbal autopsy (VA), completion rate, undetermined, HDSS.
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