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Concept Note on
Fertility
Charting a roadmap to execution
1 | P a g e
Overview
Throughour reportwe intendtoelucidate the recenttrendsinfertilityanditstreatment.Through
comprehensive researchwe will trytodecipherthe varioustrendsindatainan attemptto answersome
of the notso conventional argumentsrelatedtofertility.
The variousdata sourceswe will refertoare:
SecondaryData
 CENSUS: Census2011 will provide aplethoraof information onpopulationtotal atstate level
alongwithSex ratio,Literacyetc.
 SAMPLE REGISTRATION SYSTEM (SRS): SRSwill provide informationonCrude BirthRate(CBR),
Total FertilityRate(TFR) andInfantMortalityrate (IMR) at state level.These datawill be usedto
studythe varioustrends.
 NATIONALFAMILYHEALTH SURVEY 4 (NFHS4):VariousNational FamilyHealth Survey(NFHS-3
and NFHS-4) will be usedtoanalyze variousparameterssuchasliteracylevel,andsocio-
economicgroups.
 MULTI-INDICATORSURVEYS: Multi-indicatorsurveysdoneby UNICEF.
 ICMR SURVEYS: Studiesdone byICMR alsoprovide informationonmanypopulationrelated
issues.
 Othermiscellaneous dataresources fromthe web.
PrimaryData
Dependingonthe consensusbetweenall stake holderswe intendtouse a representational sample
comprisingof studentsfromourcollege andvariouspeergroups.Datagatheredwill be usedin
conjunctionwiththe secondarydatainan attemptto projectkeytrends.Although,we wouldlike to
underscore thatthe sample isnota professional incentivizedpanelgroupandthere canbe a significant
variance andskewinthe data collectedbythismethod.
Toolsthat will be usedtomake sense of all the clutter
Excel
Minitab
SPSS
2 | P a g e
Getting started
Providing Credence to the obvious
We wishtoleave nothingtochance and hence will reinforce the intuitive factsusingcompellingdata.
 Analyzingfertilityrate amongstvariousstatesinIndia.
 Impact of increasingage of marriage on fertility.
 Fertilityamongstvarioussocioeconomicsectionsof society.
 Powerof the media,familyplanningactivitiesandeducationalimprovementsinreductionof
TFR
 Decipheringthe age patternof fertility.
 The regional dimensionsanddemographicdynamics.
 Relationshipbetweenincome andfertility.
Latest trends and
projections
•Making sense of the decline in fertility rate in India
•Attributing reasons for the decline
Insights into various
unconventional
drivers
•Influenceof Tabocco and Alcohol on male fertility.
•Impactof Racial differences and ethinicity on TRF
Treatement
Landscape
•Reasons for sigficantly low treatment rates
•Segments most likely to embrace IVF
KeyImperatives for
various stakeholders
•Futureestimates and roadmap to reduce infertility
•Conclusions fromthe study
3 | P a g e
Digging deeper to discern trends
Once we are done statingthe obviouswe will scrupulously analyzethe copiousdatatomake sense of all
the subtle trendsthatmay be a treasure trove for ourstake holders.
 The main causationfordecline infertilityratesduringthe lastdecade.
 Variousfactorsleadingtoprevalence of infertility.
 Analyzingthe role of racial differencesandethnicity.
 Influence of Tobacco,Alcohol andobesityonfertility.
 Factors due to whichthe Indianfertilitymarketisnotwell penetrated.
 Impact of female employmentrate onfertility.
 Effectof cost of housingandeducationonfertility
 Effectof variouspoliciesonfertility.
 Effectof work andFamilyonfertility.
 Effectof recessiononFertility.
From Strategy to Implementation
Conformation on
the concept note
Collation of
secondary data
Collect primary data
if required
Analyze the primary
data
Finalize report
template and
specifics
Analyze primary and
secondary data
concomitantly
List down key
findings and double
check
Final Report
4 | P a g e
Why take so much trouble?
The desire of havinga progeny isa dreamwhichis shareduniversally,Inthe Indiancontextitisa matter
of highsensitivityandinabilitytobeara childcan cause seriouspsychological,social andemotional
distress.Hence the matterof risinginfertilityisone of greatconcern.We by thisreportaim to cover the
variouscausesthat can leadto infertilityandalsoaimto dispel some mythsbyleveragingthe powerof
data. We believe thisstudywill greatlybenefitall the stake holdersandthe societyasa whole.
Compiledby:
MihirShah
9930615334
Pointof Contact:
Uday Bhaskar Jha
+9623781626

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Concept Note

  • 1. Concept Note on Fertility Charting a roadmap to execution
  • 2. 1 | P a g e Overview Throughour reportwe intendtoelucidate the recenttrendsinfertilityanditstreatment.Through comprehensive researchwe will trytodecipherthe varioustrendsindatainan attemptto answersome of the notso conventional argumentsrelatedtofertility. The variousdata sourceswe will refertoare: SecondaryData  CENSUS: Census2011 will provide aplethoraof information onpopulationtotal atstate level alongwithSex ratio,Literacyetc.  SAMPLE REGISTRATION SYSTEM (SRS): SRSwill provide informationonCrude BirthRate(CBR), Total FertilityRate(TFR) andInfantMortalityrate (IMR) at state level.These datawill be usedto studythe varioustrends.  NATIONALFAMILYHEALTH SURVEY 4 (NFHS4):VariousNational FamilyHealth Survey(NFHS-3 and NFHS-4) will be usedtoanalyze variousparameterssuchasliteracylevel,andsocio- economicgroups.  MULTI-INDICATORSURVEYS: Multi-indicatorsurveysdoneby UNICEF.  ICMR SURVEYS: Studiesdone byICMR alsoprovide informationonmanypopulationrelated issues.  Othermiscellaneous dataresources fromthe web. PrimaryData Dependingonthe consensusbetweenall stake holderswe intendtouse a representational sample comprisingof studentsfromourcollege andvariouspeergroups.Datagatheredwill be usedin conjunctionwiththe secondarydatainan attemptto projectkeytrends.Although,we wouldlike to underscore thatthe sample isnota professional incentivizedpanelgroupandthere canbe a significant variance andskewinthe data collectedbythismethod. Toolsthat will be usedtomake sense of all the clutter Excel Minitab SPSS
  • 3. 2 | P a g e Getting started Providing Credence to the obvious We wishtoleave nothingtochance and hence will reinforce the intuitive factsusingcompellingdata.  Analyzingfertilityrate amongstvariousstatesinIndia.  Impact of increasingage of marriage on fertility.  Fertilityamongstvarioussocioeconomicsectionsof society.  Powerof the media,familyplanningactivitiesandeducationalimprovementsinreductionof TFR  Decipheringthe age patternof fertility.  The regional dimensionsanddemographicdynamics.  Relationshipbetweenincome andfertility. Latest trends and projections •Making sense of the decline in fertility rate in India •Attributing reasons for the decline Insights into various unconventional drivers •Influenceof Tabocco and Alcohol on male fertility. •Impactof Racial differences and ethinicity on TRF Treatement Landscape •Reasons for sigficantly low treatment rates •Segments most likely to embrace IVF KeyImperatives for various stakeholders •Futureestimates and roadmap to reduce infertility •Conclusions fromthe study
  • 4. 3 | P a g e Digging deeper to discern trends Once we are done statingthe obviouswe will scrupulously analyzethe copiousdatatomake sense of all the subtle trendsthatmay be a treasure trove for ourstake holders.  The main causationfordecline infertilityratesduringthe lastdecade.  Variousfactorsleadingtoprevalence of infertility.  Analyzingthe role of racial differencesandethnicity.  Influence of Tobacco,Alcohol andobesityonfertility.  Factors due to whichthe Indianfertilitymarketisnotwell penetrated.  Impact of female employmentrate onfertility.  Effectof cost of housingandeducationonfertility  Effectof variouspoliciesonfertility.  Effectof work andFamilyonfertility.  Effectof recessiononFertility. From Strategy to Implementation Conformation on the concept note Collation of secondary data Collect primary data if required Analyze the primary data Finalize report template and specifics Analyze primary and secondary data concomitantly List down key findings and double check Final Report
  • 5. 4 | P a g e Why take so much trouble? The desire of havinga progeny isa dreamwhichis shareduniversally,Inthe Indiancontextitisa matter of highsensitivityandinabilitytobeara childcan cause seriouspsychological,social andemotional distress.Hence the matterof risinginfertilityisone of greatconcern.We by thisreportaim to cover the variouscausesthat can leadto infertilityandalsoaimto dispel some mythsbyleveragingthe powerof data. We believe thisstudywill greatlybenefitall the stake holdersandthe societyasa whole. Compiledby: MihirShah 9930615334 Pointof Contact: Uday Bhaskar Jha +9623781626