Global Burden of Disease Study 2017 (GBD 2017) - Nonfatal Health Outcomes 6

Hemolytic disease and neonatal jaundice

• Comorbidity correction (COMO)
• Mixed-effects regression
• Calculate rh_negative_prop
• Rhogam doses adjustment
• Not first-born adjustment
• EHB & kernicterus adjustment (from RH negativity)
• EHB & kernicterus adjustment (from g6pd)
• EHB & kernicterus adjustment (from preterm birth)
• Calculate proportion of all other births
• EHB & kernicterus adjustment (from other births)
• Combine EHB & kernicterus prevalence from etiologies
• SMR to EMR
• DisMod-MR 2.1
• Severity splits

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HIV/AIDS

• 1ab. Generalized epidemics
  • EPP
  • Sample 1 draw from each EPP run
• • On\Off ART models
  • (Preliminary) Spectrum
  • (Final) Spectrum
  • HIV\Mortality Reckoning, ST-GPR substitution
  • Incidence back-calculation
  • Incidence case report comparison
  • HIV prevalence in pregnancy
• 2ab. Concentrated epidemics with vital statistics
  • ST-GPR
  • Cohort Incidence Bias Adjustment

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Hookworm disease

• Comorbidity Correction
• Prepare data for ST-GPR
• ST-GPR
• Compute age-specific ratios; apply ratio to ST-GPR output
• Compute proportion of cases that belong to health states
• Apply health state proportions to overall hookworm envelope
• Estimate prevlanece of severe wasting due to hookworm
• Estimate prevalence of asymptomatic hookworm
• Dismod-MR 2.1
• YLD Calculation

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Hospital Envelope

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Incidence, prevalence, YLD estimation- cancer

• • 10. Apply sequela\procedure specific disability weights
  • 11. Sum YLDs for each sequela by cancer
  • 12. Procedure YLDs
• Incidence
  • 1. Combine MI and CoDCorrect draws to calculate incidence
• Prevalence
  • 3. Model survival ~ MIR relationship in SEER
  • 4. Predict survival from MI ratios using SEER models
  • 5. Scale SEER survival curve for each country according to (predicted/SEER) proportion
  • 6. Adjust for background mortality
  • Survival dataset
  • 7. Combine survival data with final incidence estimates for prevalence estimates
• Distribution of total cancer prevalence into 4 sequelae
  • Multiply each death with duration of metastatic\disseminated phase
  • Multiply each death with duration of remission phase
  • Multiply each death with duration of terminal phase
  • Multiply each prevalent case with duration of diagnosis\treatment phase
• Cancer procedure estimation
  • Calculate proportions of cancer population that undergoes procedure
  • Combine proportions with incidence estimates
  • Distribute procedure prevalence to incontinence and impotence for prostatectomy
  • Model procedure prevalence in DisMod
  • Model procedure proportions in DisMod

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Infertility

• Comorbidity correction (COMO)
• Causal attribution of infertility sequelae
• Dismod-MR 2.1

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Inflammatory bowel disease

• 1. Nonfatal health outcome estimation for IBD due to Ulcerative Colitis (UC)
  • Calculate 3 correction factors
  • Comorbidity correction (COMO)
  • Convert claims to cases, Apply age and sex restrictions, Aggregate
  • Convert inpatient encounters to prevalent cases using correction factors, Apply age and sex restrictions, Aggregate
  • DisMod-MR 2.1
  • Exclusivity adjustment
  • Format codes, Map to modeling causes
  • MEPS analysis of symptomatic and asymptomatic proportions
  • Adjustment for undiagnosed UC
• 2. Nonfatal health outcome estimation for IBD due to Crohn's Disease (CD)
  • Calculate 3 correction factors
  • Comorbidity correction (COMO)
  • Convert claims to cases, Apply age and sex restrictions, Aggregate
  • Convert inpatient encounters to prevalent cases using correction factors, Apply age and sex restrictions, Aggregate
  • DisMod-MR 2.1
  • Exclusivity adjustment
  • Format codes, Map to modeling causes
  • MEPS analysis of symptomatic and asymptomatic proportions
  • Adjustment for undiagnosed CD
• 3. Meta-Analysis
  • Meta-analysis of % undiagnosed as indeterminate colitis
• 4. Anemia estimation
  • Anemia causal attribution

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Inguinal, femoral, and abdominal hernia

• Calculate 3 correction factors
• Comorbidity correction (COMO)
• Convert claims to cases, Apply age and sex restrictions, Aggregate
• Convert inpatient encounters to prevalent cases using correction factors, Apply age and sex restrictions, Aggregate
• Convert outpatient encounters to prevalent cases, Apply age and sex restrictions, Aggregate
• DisMod-MR 2.1
• Format codes, Map to modeling causes
• Subtract prevalence of symptomatic from prevalence of total
• Severity splits

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Inpatient hospital

• Format and standardize ICD codes
• Map and aggregate to detailed sequelae
• Select primary diagnosis
• Apply age\sex spliting
• Apply envelope to cause fractions and vet
• Aggregate neonatal and congenital subcause data to inform correction factors
• Apply appropriate Marketscan correction factors to hospital data
• Aggregate inpatient data to 5 year bands
• Aggregate detailed sequelae to modeling cause
• Calculate prevalence and incidence correction factors
• Aggregate individual injury causes to make grouped injury causes
• Create denominator of all maternity related ICD codes
• Apply maternal age\sex restrictions
• Divide each maternity related cause rate by live birth rates

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Intellectual disability

• Comorbidity correction (COMO)
• Dismod-MR 2.1
• Meta-analysis stratified by income status: Proportion of IQ < 70 that is mild, moderate, severe, and profound
• Meta-analysis: Ratio of borderline (IQ 70-85) to <70
• Severity splits
• Squeeze severity-specific outcomes to severity-specific envelopes

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