Global Burden of Disease Study 2016 (GBD 2016) Nonfatal Code 6

HIV/AIDS

 

• 1ab. Generalized epidemics
  • 1. EPP
  • 2. Sample draws from each run
• 2ab. Concentrated epidemics with vital statistics
  • 3. ST-GPR
  • 4. Spectrum
  • 5. Duration Spectrum
  • 6. Cohort Incidence Bias Adjustment
• 2c. Concentrated epidemics without vital statistics
  • 7. Spectrum
  • 8. Incidence adjustment
• 3. Final
  • 9. Spectrum
  • 10. Subnational splitting and aggregation
  • 11. HIV/mortality reckoning
  • 12. Incidence back-calculation
  • 13. High income incidence case report comparison

---

Hookworm disease

 

• Apply geographic restrictions
• Estimate prevalence of asymptomatic ascarasis
• Comorbidity Correction
• YLD Calculation
• Data preparation
• Adjust prevlanece for locations with coverage data; apply same adjustment to 1990 and 2005
• Model distribution of prevalence for subnationals and scale to national case totals
• Split India subnationals using India prevalence survey and modeled splits of state prevalence into urban and rural, scaling to state case totals and then national totals
• Interpolate (exponentially) between 1990 and 2005 to get 1995 and 2000 estimates
• Produce draws for 2016 based on 2010 estimates corrected for PCT control activities between 2010 and 2016; Extrapolate trend 2004-2010 to 2016, given cumulative number of ttp
• Calculate cumulative number of treatments per person in population requiring PCT
• Estimate prevlanece of severe wasting due to ascariasis

---

Incidence, prevalence, YLD estimation- cancer

• Incidence
  • 1. Combine MI and CoDCorrect draws to calculate incidence
• Prevalence
  • 3. Model best and worse relative survival curves
  • 4. Create access to care scalar
  • 5. Scale countries between highest and lowest relative survival curves using access to care scalar
  • 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
• • 10. Apply sequela/procedure specific disability weights
  • 12. Procedure YLDs
  • 11. Sum YLDs for each sequela by cancer
• Cancer procedure estimation
  • Calculate proportions of cancer population that undergoes procedure
  • Model procedure proportions in DisMod
  • Combine proportions with incidence estimates
  • Model procedure prevalence in DisMod
  • Distribute procedure prevalence to incontinence and impotence for prostatectomy

---

Infertility

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

---

Inflammatory bowel disease

 

• 1. Nonfatal health outcome estimation for IBD due to Ulcerative Colitis (UC)
  • Adjustment for undiagnosed UC
  • Adjustment from primary code to all code based on Claims data
  • Age-sex splitting
  • Comorbidity correction (COMO)
  • Computing excess mortality from available incidence & CSMR data
  • DisMod-MR 2.1
  • MEPS analysis of symptomatic and asymptomatic proportions
• 2. Nonfatal health outcome estimation for IBD due to Crohn's Disease (CD)
  • Adjustment for undiagnosed CD
  • Adjustment from primary code to all code based on Claims data
  • Age-sex splitting
  • Comorbidity correction (COMO)
  • Computing excess mortality from available incidence & CSMR data
  • DisMod-MR 2.1
  • MEPS analysis of symptomatic and asymptomatic proportions
• 3. Meta-Analysis
  • Meta-analytis of % undiagnosed as indeterminate colitis

---

Inguinal, femoral, and abdominal hernia

 

• Adjustment from primary code to all code based on Claims data
• Comorbidity correction (COMO)
• Computing excess mortality from available incidence & CSMR data
• DisMod-MR 2.1
• Age-sex splitting
• Severity splits of symptomatic hernia
• Meta-analysis of % mild/mod/severe hernia
• Subtract prevalence of symptomatic episodes from pervalence of total hernia

---

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

---

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

---

Interstitial Lung Disease

 

• Comorbidity correction (COMO)
• Computing excess mortality
• DisMod-MR 2.1
• Meta-analysis of mild, moderate, severe
• Severity splits

---

Interstitial Nephritis

 

• Age-sex splitting
• Centrally applied severity splits
• Comorbidity correction (COMO)
• Computing excess mortality from available incidence & CSMR data
• Crosswalk to US 2012 claims data
• Dismod-MR 2.1

---