TZA_1995_IDHS_v01_M
Sumve Survey on Adult and Childhood Mortality 1995
In-depth Study on Estimating Adult and Childhood Mortality in Settings of High Adult Mortality
Name | Country code |
---|---|
Tanzania | TZA |
Demographic and Health Survey, Special [hh/dhs-sp]
The Demographic and Health Surveys (DHS) program assists government and private agencies with the implementation of surveys in developing countries. Funded primarily by the U.S. Agency for International Development (USAID), DHS is administered by Macro International Inc. in Calverton, Maryland, USA. The main objectives of the DHS program are to
(1) provide decision makers in survey countries with databases and analyses useful for informed policy choices,
(2) expand the international population and health database,
(3) advance survey methodology, and
(4) develop in participating countries the skills and resources necessary to conduct high-quality demographic and health surveys.
The 1995 DHS In-Depth Survey in Tanzania, Sumve Survey on Adult and Childhood Mortality ( SA CM), is part of the worldwide Demographic and Health Surveys (DHS) program. Additional information about the study may be obtained from: DHS, Macro International Inc., 11785 Beltsville Drive, Suite 300, Calverton, MD 20705 (Telephone 301-572-0200; Fax 301-572-0999).
During May to October 1995 in the Mwanza Region of northwestern Tanzania, an in-depth survey on adult and childhood mortality estimation was conducted. Entitled the "Sumve Survey on Adult and Childhood Mortality" (SACM), the study was implemented by the Tanzanian Bureau of Statistics (BOS) and the Demographic and Health Surveys (DHS) program with assistance provided by several local institutions.
The primary objective of the SACM was to establish whether data useful for the estimation of childhood mortality rates (birth histories) could be collected by proxy from the mothers' sisters. The proxy data on deceased sisters--that is, women not interviewed in a routine demographic survey could be used to adjust estimates of childhood mortality where adult mortality is on the rise due to the AIDS pandemic. This type of data collection had not been attempted in Africa. Aside from the methodological aims of the SACM, the study was also intended to provide descriptive information on the demographic situation and use of basic maternity service utilization in the study area for purposes of local program evaluation.
The SACM was a two-phase data collection exercise conducted in the Kwimba District of Mwanza Region which lies on the southern boundary of Lake Victoria. This is an area where approximately 100,000 persons, of predominantly Sukuma ethnic origins, reside. Very little modern sector development has occurred in the study area and the large majority of the population relies on subsistence agriculture and some cash cropping to make a living. Educational levels are very low: the SACM results show that about 40 percent of women age 15-49 had never been to school, and only 1 percent had reached secondary school. Most of the study population falls in the catchment area of the Sumve primary health care (PHC) program, which aims to provide health education and basic maternal and child health services through outreach and referral programs. The PHC program is (and the SACM study was) based in Sumve where a relatively large hospital serves much of the district's tertiary care needs as well.
In Phase I of the SACM, a representative sample of 1,488 households and 2,130 women age 15-50 were interviewed. In these interviews, full birth histories of the respondents ("own" reports) and full sibling histories were collected. Based on information in the latter, all sisters born 15-50 years ago were identified and full birth histories were collected on all of these sisters ("proxy" reports). In Phase II of the SACM, conducted a month after Phase I, all living sisters age 15-50 living in an expanded study area were "tracked" with 2,123 of 2,223 eligible sisters (96 percent) eventually interviewed. From Phase II respondents was elicited essentially the same information as was obtained from Phase 1 respondents. These data allow comparisons of own-reported and proxy-reported birth histories. One drawback of the design is that the SACM sister-pairs are not representative of all sister-pairs since they live closer to each other than the average sister-pair (i.e., by design, the Phase II sisters live in roughly the same area as Phase I respondents). The SACM found that nearly all women (99 percent) who gave birth in the five years before the survey had received some kind of antenatal care during their last pregnancy, with the majority of services provided by nurses, midwives, and maternal and child health (MCH) aides. Only 2 percent of the women received care by a doctor. Unfortunately, the data indicate that over 90 percent of these women did not initially receive services before the second trimester, and 15 percent did not before the third trimester, which indicates that the full benefits of antenatal care are not being realized for most women around Sumve. The SACM also found that 62 percent of deliveries still occur outside of health facilities. Nearly all of these home deliveries are assisted by relatives and friends. Thirty-nine percent of deliveries were assisted by a trained health professional; in 4 percent of deliveries, a doctor assisted. Previous use of antenatal services and advice by a health professional to deliver in a health facility is positively correlated with subsequent delivery in a hospital or clinic. Of women not delivering in a health facility, the most commonly reported reason for nonuse of a facility was transport- or distance-related; 61 percent said that it was "too far," and 44 percent said that no transport was available.
The Phase I SACM data provided an opportunity to establish representative estimates of fertility and mortality.Women living in the Sumve area bear, on average,7.4 children during their lifetime,and nearly 60 percent have begun their reproductive lives before reaching age 20.The under-five mortality rate was estimated to be 134 deaths per 1,000 live births, meaning that about 1 in 7 children in this area do not survive to their fifth birthday.Infant mortality stands at 83 deaths (under age 1) per 1,000 live births.The risk of dying in early childhood is closely linked to the length of the birth interval.Infant mortality is about twice as high among children with short intervals (less than 24 months) than among children born after long intervals (48 or more months).
Adult mortality is high in the study area.The mortality rate for adult females (age 15-49) is estimated to be 4 per1,000 person-years and male mortality (age 15-49) is 5 per 1,000 person-years. While high, these mortality levels indicate that AIDS has not yet impacted significantly on adult mortality during the 0-13 year period before the survey (circa 1982-1995). A measure of female mortality attributable to maternity-related causes, the maternal mortality ratio, was calculated using the SACM. The maternal mortality ratio for the Sumve area was found to be around 500 maternal deaths per 100,000 live births.
Phase II of the SACM provided for linkage of 2,711 own-reported birth histories with 3,719 proxy reported birth histories (1.37 proxy reports per own report). The analyses of proxy reports vis-a-vis own reports demonstrate that women are familiar with their sisters' experience regarding childbearing and child deaths. The quality of the proxy information is, in some respects, surprisingly good. Yet the study identified some important problems related to proxy reporting. The precision of dating of births was significantly worse in the proxy reports, and substantial birth date displacement was evident. Most importantly, a considerable 14 percent fewer non-surviving births were reported in the proxy birth histories than in the own reports.
These data quality problems had some impact on demographic estimates.The directly-estimated total fertility rate for ages 15-39 (TFR) in the five-year period before the survey was estimated to be 6.7 children per woman from the own data, but 5.9 children per woman from the proxy data.While the own and proxy data produce similar childhood mortality rates for the five years before the survey (due to offsetting underreports of surviving and nonsurviving births),the proxy effect resulted in a 23 percent underestimate of under-five mortality 5-9 years before the survey, and a 31 percent underestimate 10-14 years before the survey. Trend estimates from the proxy data thus produce a picture of rising mortality, whereas own data indicate falling or stable mortality. These results suggest that routine implementation of a methodology to correct for mother's survival bias involving use of proxy data is not realistic at this time. However, in settings where moderate to severe bias is expected (five-fold or greater increases in adult mortality), careful adjustment to mortality estimates based on proxy data, while difficult to support empirically, may be an improvement over no adjustment at all.The adjustment would need to involve estimation of a "proxy effect" as well as estimation of the substantive correction parameter that reflects the survival bias.
Evaluation and quantification of the biases influencing childhood mortality estimation in sub-Saharan Africa should be undertaken. In this study, the children of recently deceased women had significantly elevated mortality relative to children of survivors: under-five risk was more than doubled (340 versus 143 per 1,000 live births). Additional information on the fertility-inhibiting impact of HIV/AIDS and current levels and trend in adult HIV/AIDS-related mortality needs to be garnered. These data should be population based and refer to a recent time period in order to be useful for program and policy purposes.
Sample survey data [ssd]
Households
Individuals
The survey coveres the following topics:
Household level:
Individual level:
Kwimba District of Northwestern Tanzania.
Sisters of deceased mothers (Women aged 15- 50)
Name |
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Demographic and Health Surveys Project |
Name | Affiliation |
---|---|
Tanzania Bureau of Statistics | |
National Institute of Medical Research | |
Sumve Designated District Hospital | |
Mwanza Regional Medical and Nursing Offices | |
Muhimbili College | University of Dar es Salaam (Department of Epidemiology and Biostatistics) |
Name | Affiliation | Role |
---|---|---|
USAID Mission in Dar es Salaam | USAID | Help in Facilitating the Inter-Institutional Collaboration |
The SACM was conducted in two phases. In the first phase, a random sample of women age 15-50 was interviewed in their households. A complete sibling history was collected from these respondents which included detailed locator information for all living sisters age 15-50. After Phase I was completed, the sibling histories and associated data were used to draw up a roster of all living sisters age 15-50 of the Phase I respondents. All sisters listed who lived in the expanded Phase II study area were eligible for Phase II interview.
Phase I of the SACM was conducted in the six wards of Kwimba District that surround the community of Sumve: Bungulwa, Mantare, Mwabomba, Mwaniko, Ngulla, and Wulla (Figure 2.1 - see Survey Report in external resources). The six wards comprise a total of 57 enumeration areas (EA) designated and mapped during the 1988 national census.A complete remapping and household listing of these 57 EAs were conducted prior to the SACM study by permanent staff of the Tanzania Bureau of Statistics (BOS) who had been trained in SACM household listing and cartographic methods by a demographer of the DHS project. A systematic random sample of 1,511 households was selected from the new listing. All women age 15-50 in the selected households were eligible for the Phase I individual interview. This approach to sampling, in both materials and methods, is identical to that used routinely in DHS surveys, except that the first phase of the typical two-stage cluster sampling was dropped since all EAs (i.e., all clusters) were included in the study. In other words, no area within the contiguous area defined as the SACM survey area was excluded; therefore, every household and woman in the study area had a nonzero probability of being sampled.
The study area was expanded for Phase II of the SACM so as to maximize the "take" of sisters, but not so much as to make it impractical to locate and contact respondents. The final compromise solution included the six original wards plus the six contiguous wards of Koromije, Misasi, Missungwi, Mwagi, Nyambiti, and Sumve (Figure 2.1 - see Survey Report in external resources). All living sisters age 15-50 reported by Phase I respondents who lived in these 12 wards were eligible for the Phase II interview.
A primary consideration in the selection of this area of Kwimba District for the study was its remote rural location which would result in relatively low out-migration of sisters.. This feature of the population greatly facilitated the location of sisters for interview during Phase II of the study. In addition, the area was expected to have relatively high adult mortality due to both the general level of underdevelopment and to the increasing HIV/AIDS problem in the area. However, it is important to note that the select nature of the population limits the generalizability of the results of the survey. In particular, the use of a restricted geographic area in Phase II of the study, while logistically necessary, means that sisters interviewed in the SACM live closer to each other than is the case in the general population.
The upper limit of the age range for eligibility for the individual survey is 49 in most DHS surveys. In the SACM, this upper limit was extended to 50 to attempt to reduce elimination of women from the sample through age displacement (both intentional and unintentional) to age 50. This is particularly relevant for identifying sisters for Phase II of the study because Phase I respondents may have only an approximate idea of their sister's age and may tend to heap their ages on preferred numbers such as those ending in a zero or a five. However, many of the analyses of the SACM data are restricted to women age 15-49 to allow comparison with standard demographic indices.
Of the 1,511 households selected, 1,493 were located and 1,488 were successfully interviewed yielding a response rate of 98.5 percent. The main reason for household nonresponse was that the household was absent for an extended period of time. A total of 2,209 women age 15-50 were identified in the interviewed households and 2,130 of these were interviewed in Phase I of the study (response rate of 96.4 percent). The majority of nonresponse among the Phase I respondents was due to the absence from home of the respondent each time the interviewer called (49 cases), or because the respondent had moved away from the household for an extended period of time (21 cases).
The Phase I respondents identified 2,223 living sisters age 15-50 who lived in the Phase I1 study area, and complete interviews were obtained from 2,123 sisters of Phase I respondents (95.6 percent).
The SACM employed three questionnaires:
The Household Questionnaire was used to list all the usual members and visitors of the sample households primarily in order to identify women who were eligible for the individual interview, in addition, some basic information was collected on the characteristics of each person listed including his/her age, sex, and relationship to the head of the household.
The Phase I Individual Questionnaire included questions on the following topics:
The structure of the "own" and "proxy" birth histories was adapted with little change from the DHS core models. The SACM sibling history was essentially the same as the DHS maternal mortality module routinely used by the DHS project, except that additional information on cause of death was elicited, and instructions and questions were added to direct interviewers toward a compilation of various data on eligible sisters for Phase II location.
The Phase II Individual Questionnaire was essentially the same as the Phase I Individual Questionnaire but with the following differences:
Start | End |
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1995-06 | 1995-10 |
Start date | End date | Cycle |
---|---|---|
1995-05-20 | 1995-06-23 | Phase I Data Collection |
1995-06-24 | 1995-08-01 | Completion of Rosters and Itineraries for Phase II Work |
1995-08-02 | 1995-10-20 | Phae II Data Collection |
Name |
---|
Nurses from the Mwanza Regional Medical Office |
The fieldwork for the SACM survey was carried out by four mobile interviewing teams, each consisting of one team supervisor, one field editor, and four or five female interviewers (Appendix B of Survey Report). Two permanent senior BOS staff members and one DHS project field demographer coordinated and supervised fieldwork activities.
The SACM questionnaires were pretested in February 1995. Eight certified nurses were trained to implement the pretest during a 10-day training period. Three language versions of the questionnaires were produced: Kisukuma (the predominant local language), Kiswahili (lingua franca), and English. The pretest fieldwork was conducted over a one-week period in areas surrounding Mwanza, where both Kiswahili and Kisukuma-speaking households could easily be identified. Approximately 130 pretest interviews Were conducted, debriefing sessions were subsequently held with the pretest field staff, and modifications to the questionnaire were made based on lessons drawn from the exercise. Pretest interviewers were retained to serve as field editors and team supervisors during the main survey.
Training of field staff for the main survey was conducted over a three-week period in May 1995. Staff from the BOS, the DHS project, and Muhimbili College trained 23 incoming interviewer trainees, all of whom were trained nurses. The training course consisted of instruction in general interviewing techniques, field procedures, a detailed review of items on the questionnaires, mock interviews between participants in the classroom, and practice interviews with real respondents in areas outside the SACM study area. Trainees who performed satisfactorily in the training program were selected as interviewers. During this period, field editors and team supervisors were provided with additional training in methods of field editing, data quality control procedures, and coordination of fieldwork.
A two-day training course was held at the end of July 1995 prior to the start of the second phase of fieldwork. The Phase II training focused on differences between the Phase I and the Phase II questionnaire and on field logistics for the second round. Particular emphasis was given to training supervisors in the field procedures for tracking respondents who had moved and locating respondents who could not be found where they were originally reported to live.
All questionnaires were initially edited in the field for problems in consistency and completeness.
The field-edited questionnaires were sent for computer data processing to Mwanza (NIMR) where a reliable electrical supply had been arranged. Four computers were employed in the entry, editing, and initial tabulation of the SACM data. Four data entry clerks entered the data, two persons were in charge of editing procedures, and one supervisor distributed and controlled all processing activities.
Processing of the SACM data was accomplished using the Integrated System for Survey Analysis (ISSA) which allows hierarchical data structures and is therefore suitable for the processing of multilevel data of the type collected in the SACM. The household represents a first level in the data, while individual women age 15-50 represent a second level, and their reports of sisters' birth histories represent a third level.
After Phase I data collection, a list of Phase II respondents (eligible living sisters of Phase I respondents) with their reported locator information was compiled. Phase I data therefore directed the "sample" of Phase II sisters.
Data entry was performed concurrently with fieldwork, and frequent tabulations were produced that facilitated ongoing data editing and data quality evaluation. The advantage of timely entry and editing is that quality problems (i.e., poor interviewing habits) can be detected early in the field, and field procedures for supervision, editing, or interviewing can be adjusted before they become very serious problems. Another obvious advantage is that within a short period after fieldwork ends, the data set will be ready for analysis. After the second round was completed, secondary editing was performed on the whole data set and date values were imputed where necessary. Two weeks after fieldwork was completed, the first tabulations were run on the data set.
Name | Affiliation | URL |
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Measure DHS | DHS, Macro International Inc. | www.measuredhs.com |
Survey Datasets - Not in Public Domain
HIV Testing - Not Collected
GPS Datasets - Not Collected
SPA Datasets - Not Applicable
Use of the dataset must be acknowledged using a citation which would include:
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | URL |
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DHS, Macro International Inc. | www.measuredhs.com |
DDI_TZA_1995_IDHS_v01_M
Name | Role |
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World Bank, Development Economics Data Group | Production of metadata |
2012-02-10
Version 01: (February 2012)