<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="TZA_2011_SAVVY_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_TZA_2011_SAVVY_v01_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="Ifakara Health Institute" role="Documentation of the DDI">Juan Manuel BLANCO</producer>
      <prodDate date="2014-05-21">2014-05-21</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 02 (January 2015). Edited version based on Version 01 DDI (DDI_IHI_IMPACT_SAVVY_201405_v02) that was done by Ifakara Health Institute.</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Sample Vital Registration with Verbal Autopsy 2011-2012</titl>
      <subTitl/>
      <altTitl>SAVVY 2011-12</altTitl>
      <parTitl/>
      <IDNo>TZA_2011_SAVVY_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="Ifakara Health Institute, Dar es Salaam, Tanzania">Honoraty Masanja</AuthEnty>
      <othId role="Researcher" affiliation="Ifakara Health Institute, Dar es Salaam, Tanzania" email="">
        <p>Gregory S. Kabadi</p>
      </othId>
      <othId role="Analyst, Data Manager" affiliation="Ifakara Health Institute, Dar es Salaam, Tanzania" email="">
        <p>Isaac Lyatuu</p>
      </othId>
      <othId role="Researcher" affiliation="Ifakara Health Institute, Dar es Salaam, Tanzania" email="">
        <p>Paul Smithson</p>
      </othId>
      <othId role="Researcher" affiliation="Ifakara Health Institute, Dar es Salaam, Tanzania" email="">
        <p>Eveline Geubbels</p>
      </othId>
      <othId role="Researcher" affiliation="Ifakara Health Institute, Dar es Salaam, Tanzania" email="">
        <p>Richard Amaro</p>
      </othId>
      <othId role="Researcher" affiliation="National Bureau of Statistics, Dar es Salaam, Tanzania" email="">
        <p>Sylvia Meku</p>
      </othId>
      <othId role="Researcher" affiliation="Ministry of Health and Social Welfare, Dar es Salaam, Tanzania" email="">
        <p>Wilfred Yohama</p>
      </othId>
      <othId role="Researcher" affiliation="Centers for Disease Control and Prevention, Dar es Salaam, Tanzania" email="">
        <p>Mary Kibona</p>
      </othId>
      <othId role="Researcher" affiliation="National Institute for Medical Research, Mwanza, Tanzania" email="">
        <p>Mark Urassa</p>
      </othId>
      <othId role="Researcher" affiliation="London School of Hygiene and Tropical Medicine, London, United Kingdom" email="">
        <p>Joanna A. Schellenberg</p>
      </othId>
    </rspStmt>
    <prodStmt>
      <producer abbr="" affiliation="" role="Executive Producer">Ifakara Health Institute</producer>
      <producer abbr="" affiliation="" role="Initiator">Ministry of Health and Social Welfare</producer>
      <producer abbr="" affiliation="" role="Initiator">National Bureau of Statistics</producer>
      <producer abbr="" affiliation="" role="Initiator">National Institute for Medical Research</producer>
      <copyright>Ifakara Health Institute</copyright>
      <software version="5.0" date="2021-03-31">NADA</software>
      <fundAg abbr="CDC" role="">US Centre for Disease Control</fundAg>
      <fundAg abbr="DID" role="">UK Department for International Development</fundAg>
      <fundAg abbr="" role="">Irish Aid</fundAg>
      <fundAg abbr="" role="">Norwegian Agency for Development Cooperation</fundAg>
      <fundAg abbr="" role="">Swiss Agency for Development &amp; Cooperation</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="Ifakara Health Institute" URI="" email="ilyatuu@ihi.or.tz">Isaac Lyatuu</contact>
      <depositr abbr="IHI" affiliation="">Ifakara Health Institute</depositr>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName/>
      <serInfo>SAmple Vital event registration with Verbal autopsY (SAVVY) research project is a demographic surveillance system within Sentinel Panel of District (SPD) platform that collects and analyzes health community-based information data with intent to determine community birth trends and cause-specific mortality fractions in a population that has no complete or incomplete vital registration system. SAVVY provides nationally representative estimates of mortalities based on age, sex, residence and zone, and it covers about 2% of Tanzania mainland population.The cause-specific mortality fraction is determined based on verbal autopsy interviews with next of kin or other caregivers.

The Sentinel Panel of Districts (SPD) is a nationally-representative sample of 23 districts (plus an additional 4) in Mainland Tanzania for health monitoring, evaluation and research. 
The panel has two "arms". The population-based arm (SAVVY1) tracks vital events in a total population of around 800,000 people. This will produce annual estimates of age- and cause-specific mortality as well as other key demographic variables.</serInfo>
    </serStmt>
    <verStmt>
      <version date="2014">SAVVY started with baseline enumeration censuses in March 2011 and continued in phases until it reached a full scale of all 23 districts in March 2014. Follow-up enumeration censuses will be conducted from 2015. Monitoring of vital events and conducting verbal autopsy (VA) interviews in enumeration areas began shortly after commencement of baseline censuses and is done prospectively.
The data collected will be archived on a yearly base.

SAVVY BASELINE CENSUS DEPLOYEMENT PER DISTRICT (2011/14) 

DistrictsCENSUS IMPLEMENTED PERIOD
               Starting dateCompletion date
Bagamoyo05.06.201115.07.2011
Kinondoni 05.06.201115.07.2011
Geita                        07.06.201108.2011
Kahama                21.03.201103.06.2011
Sumbawanga02.04.201228.05.2012
Mbozi                28.03.201228.05.2012
Iringa Urban28.03.201213.05.2012
Songea Urban02.04.201213.05.2012
Muleba                16.04.201228.06.2012
Musoma Rural12.04.201212.06.2012
Kilosa                15.10.201211.12.2012
Mtwara Urban08.10.201219.11.2012
Ruangwa                08.10.201219.11.2012
Babati                30.01.201322.03.2013
Kondoa                28.01.201322.03.2013
Singida Rural28.01.201323.03.2013
Kasulu                05.04.201323.05.2013
Uyui                02.04.201323.05.2013
ILALA                27.05.201308.07.2013
TEMEKE                27.05.201308.07.2013
Arusha Urban10.02.201421.03.2014
Moshi Rural10.02.201421.03.2014
Tanga Urban12.02.201423.03.2014</version>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>SAVVY is a demographic surveillance system built around vital events monitoring. It operates in a similar way to existing Health and Demographic Surveillance (HDSS) but is distributed across the country and sampled to generate estimates that are nationally representative. The system is based on a periodic census of the sample population that provides information on population age, sex, household characteristics and migration. During the year, community key informants report births and deaths and probable cause of death is determined through verbal autopsy.</abstract>
    <sumDscr>
      <timePrd date="2011-03" event="start" cycle="Baseline"/>
      <timePrd date="2011-03" event="end" cycle="Baseline"/>
      <timePrd date="2012-04" event="start" cycle="Present Data"/>
      <timePrd date="2015" event="end" cycle="Present Data"/>
      <collDate date="2011-03" event="start" cycle=""/>
      <collDate date="2012-04" event="end" cycle=""/>
      <nation abbr="TZA">Tanzania</nation>
      <geogCover>SAVVY is part of the Sentinel Panel of Districts (SPD), a nationally-representative sample of 23 districts (plus an additional 4) in Mainland Tanzania for health monitoring, evaluation and research.
Attention: the totality of distrcits has been reached only in March 2014!</geogCover>
      <geogUnit>Individuals in sampled households.</geogUnit>
      <anlyUnit/>
      <universe>Resident population (nationally representative), longitudinal.</universe>
      <dataKind>Event/transaction data [evn]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes>Health services
Mortality rate
Demographic data</notes>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <dataCollector abbr="IHI" affiliation="">Ifakara Health Institute</dataCollector>
      <dataCollector abbr="" affiliation="Ministry of Health and Social Ministry of Health and Social Welfare (MOSHW)">District Coordinators</dataCollector>
      <!-- collectorTraining - DDI2.5
        
        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc>A two-stage probability sampling approach was employed. District sampling aims to permit disaggregation of results by residence (urban/rural) as well as by zone. Within selected districts, enumeration areas were randomly selected from the national master sample frame, to yield a total sample of 167,000 households comprising about 800,000 individuals (~2% of Mainland Tanzania population).

SAVVY data collection is grouped into three categories: census enumeration, birth and death notifications, and VA interviews. During initial setup of the SAVVY arm, baseline censuses were conducted in all districts enumerating all households within the selected enumeration areas and captured a snapshot of the population. Each household was visited and family structure data were collected including details of the head of household, each member's name, gender, occupation, and education. Follow up questions were asked for female household members on number of children. During baseline census, retrospective death events of the past 12 months were also collected. A notification system of vital events was set up following the baseline censuses. Each birth or death event occurring in SAVVY enumeration areas triggered a notification message sent by a community key informant using a mobile phone. In addition to reporting of vital events, SAVVY also promotes vital registration through use of government registers provided by the Registration Insolvency and Trusteeship Agency (RITA).

SAVVY started with baseline enumeration censuses in March 2011 and continued in phases until it reached a full scale of all 23 districts in March 2014. Follow-up enumeration censuses will be conducted from 2015. Monitoring of vital events and conducting verbal autopsy (VA) interviews in enumeration areas began shortly after commencement of baseline censuses and is done prospectively. FBIS data collection began in January 2010 and is conducted regularly on monthly basis from all health facilities in SPD districts.</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode/>
      <resInstru>Census enumeration, birth and death notifications, and VA interviews.

Data collection instruments include two registers (births, deaths) and three questionnaires (household census, and verbal autopsy questionnaires for neonates, children and adults). The household census questionnaire includes household identification, location, household members, dates of birth, highest educational attainment, occupation and births in the past twelve months. The births and deaths registers record individual and household identity, location and date of event. The verbal autopsy questionnaires have an identification section; history of chronic illness; verbal account of the events leading to death; symptoms checklist; lifestyle (use of alcohol, drugs and smoking), and sequential use of health services prior to death. 

Each death notification event is followed by a VA interview with the head of household or a person who took care of the deceased. Interviewers use the three standard World Health Organisation’s 2002 VA questionnaires: for newborns (0-28 days), children (29 days -14 years) and adults (15 years and above).9 These questionnaires are designed to collect background information of the deceased including their age, sex, marital status, and health data prior to death. Other information collected in verbal autopsy interviews include history of chronic illness, a narrative account of events leading to death, symptom checklist and duration, lifestyle (use of alcohol, drugs and smoking) and a sequence of use of health services prior to death. All information on verbal autopsy interviews (those captured retrospectively and prospectively during baseline census) are sent to trained physicians in order to establish a probable cause of death. Each death is coded independently using the World Health Organisation International Classification of Diseases and Health Related Conditions version 10 (ICD 10).</resInstru>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
      <instrumentDevelopment type=""/>
      <collSitu/>
      <actMin>Ifakara Health Institute supervision and training of districts coordinators.</actMin>
      <ConOps/>
      <weight/>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate>Number of districts 23 districts
Total Population 644,217 people
Males (%) 48%
Population rural (%) 70%</respRate>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas>Ongoing study</stdyClas>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI="http://data.ihi.or.tz/index.php/catalog/3">Ifakara Health Institute</accsPlac>
      <origArch>Ifakara Health Institute
http://data.ihi.or.tz/index.php/catalog/3
Cost: None</origArch>
      <avlStatus>Lincesed access.</avlStatus>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <restrctn/>
      <contact affiliation="Ifakara Health Institute" URI="" email="dc@ihi.or.tz">Data Unit</contact>
      <contact affiliation="Ifakara Health Institute" URI="" email="spd@ihi.or.tz">SPD Unit</contact>
      <citReq>"Sentinel Panel of Districts - Ifakara Health Institute,Tanzania Sample vital registration with verbal autopsy (SAVVY) (May 2014), provided by Ifakara Health Institute, Dar es Salaam, Tanzania. data.ihi.or.tz"</citReq>
      <deposReq/>
      <conditions>Licensed dataset</conditions>
      <disclaimer>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.</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
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<fileDscr ID="F1">
  <fileTxt>
    <fileName>coding</fileName>
    <fileCont>SAVVY data collection is grouped into three categories: census enumeration, birth and death notifications, and VA interviews. During initial setup of the SAVVY arm, baseline censuses were conducted in all districts enumerating all households within the selected enumeration areas and captured a snapshot of the population. Each household was visited and family structure data were collected including details of the head of household, each member's name, gender, occupation, and education. Follow up questions were asked for female household members on number of children. During baseline census, retrospective death events of the past 12 months were also collected. A notification system of vital events was set up following the baseline censuses. Each birth or death event occurring in SAVVY enumeration areas triggered a notification message sent by a community key informant using a mobile phone. In addition to reporting of vital events, SAVVY also promotes vital registration through use of government registers provided by the Registration Insolvency and Trusteeship Agency (RITA).</fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>6</varQnty>
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    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F2">
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    <fileName>household</fileName>
    <fileCont>SAVVY data collection is grouped into three categories: census enumeration, birth and death notifications, and VA interviews. During initial setup of the SAVVY arm, baseline censuses were conducted in all districts enumerating all households within the selected enumeration areas and captured a snapshot of the population. Each household was visited and family structure data were collected including details of the head of household, each member's name, gender, occupation, and education. Follow up questions were asked for female household members on number of children. During baseline census, retrospective death events of the past 12 months were also collected. A notification system of vital events was set up following the baseline censuses. Each birth or death event occurring in SAVVY enumeration areas triggered a notification message sent by a community key informant using a mobile phone. In addition to reporting of vital events, SAVVY also promotes vital registration through use of government registers provided by the Registration Insolvency and Trusteeship Agency (RITA).</fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>11</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F3">
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    <fileName>members</fileName>
    <fileCont>SAVVY data collection is grouped into three categories: census enumeration, birth and death notifications, and VA interviews. During initial setup of the SAVVY arm, baseline censuses were conducted in all districts enumerating all households within the selected enumeration areas and captured a snapshot of the population. Each household was visited and family structure data were collected including details of the head of household, each member's name, gender, occupation, and education. Follow up questions were asked for female household members on number of children. During baseline census, retrospective death events of the past 12 months were also collected. A notification system of vital events was set up following the baseline censuses. Each birth or death event occurring in SAVVY enumeration areas triggered a notification message sent by a community key informant using a mobile phone. In addition to reporting of vital events, SAVVY also promotes vital registration through use of government registers provided by the Registration Insolvency and Trusteeship Agency (RITA).</fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>7</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
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