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Table 1 Model inputs

From: Potential return on investment of a family-centered early childhood intervention: a cost-effectiveness analysis

Variable

Inputs (Odds)

Notable assumptions and explanations

Lower range

Upper range

Source population

References

Inputs influencing health

 Child Specific

  Odds ever of good academic achievement (basic academic proficiency)

1.35

Fixed prevalence throughout childhood based on a point prevalence (4th–12th grade) of 57.5% basic academic achievement

0.7

2.0

National 4th grade black public school students

[33]

  Odds ever of obesity as a child (BMI at or above 95%)

0.146

Assumed a cumulative incidence of 23.8% by age 10 (5th grade) based on a point prevalence of 23.8% (K-5th grade)

0.09

0.3

NYC public elementary school students

[34]

  Odds ever of low self-regulation

0.33

Fixed prevalence throughout childhood based on a period prevalence of 25%

0.15

0.4

High risk children followed infancy through grade 3

[5, 28]

  Odds ever that a child will behavior problems

0.275

Fixed prevalence throughout childhood based on a period prevalence of 21.6%

0.14

0.4

Kindergarten or first grade students given any early poverty

[29]

  Odds of graduating from high school

2.125

One-time event, estimated from incidence of 68%

1.59

2.66

Low-income New York state high school students

[35]

  Odds of any drug abuse disorder

0.13

Fixed prevalence throughout childhood based on a point prevalence of 11.4%

0.11

0.15

Nationally representative face-to-face survey of adolescents aged 13 to 18 years in the continental United States.

[50]

  Odds ever of type 2 diabetes as a child

0.001

Fixed prevalence throughout childhood based on a point prevalence of 1.05 per 1000

0

0.002

Black children aged 0–19 with type 2 diabetes

[37]

  Odds ever of interacting with the judiciary system as a child (likelihood of one violent crime arrest)

0.099

Fixed prevalence throughout childhood based on a point prevalence of 9%

0.074

0.124

Low-income urban Baltimore adolescents

[24]

  Odds ratio good academic achievement given child received ParentCorps

1.520

 

1.000

2.430

ParentCorps

[23]

  Odds ratio good academic achievement given child has behavior problems

0.229

 

0.084

0.621

ParentCorps

[23]

  Odds Ratio child becomes obese given they have low self-regulation in pre-k

3.846

 

1.36

4.50

ParentCorps

[4]

  Odds Ratio child becomes obese given they have low self-regulation in pre-k and received ParentCorps

0.260

 

0.080

0.865

ParentCorps

[4]

  Odds Ratio child becomes obese given that they do not have low self-regulation and received ParentCorps

1.000

 

0.82

1.0

ParentCorps

[4]

  Odds Ratio child develops behavior problems given they received ParentCorps

0.590

 

0.41

0.85

ParentCorps

[1, 3, 5]

  Odds Ratio child develops behavior problems given low self-regulation

3.800

 

2.0

5.5

Urban children from Arizona aged 55–97 months

[1, 3, 5, 20]

  Odds Ratio child graduates from high school given they have good academic achievement

1.335

 

1.0

4.0

Children from Tennessee’s Project STAR evaluating graduation among children in K-3 grade (55.8% free lunch)hn

[22]

  Odds Ratio child graduates from high school given they abuse drugs

0.699

 

0.584

0.826

US national sample adults over 18 surveying back on their childhood

[19]

  Odds Ratio child graduates from high school given they have behavior problems

0.180

 

0.1

1.0

Adolescents ages 15–20 with serious emotional disturbance, 38.2% low income, 39.5% urban

[25]

  Odds Ratio child abuses drugs given they have behavior problems

3.800

 

1.0

5.0

New Zealand urban children

[51]

  Odds Ratio child with obesity develops diabetes

5.100

 

1.51

17.0

Children ages 4–19 in rural Canada

[26]

  Odds Ratio child interacts with judiciary system given they abuse drugs

5.700

 

2.30

15.05

Study among urban New Zealand adolescents with alcohol misuse and juvenile offenses

[51]

  Odds Ratio child interacts with judiciary system given they have behavior problems

2.925

 

1.300

6.375

Study among New Zealand males with childhood onset versus adolescent onset antisocial behavior

[31]

 Adult Specific

  Odds of developing obesity per yr. (BMI > 30)

Age 18–39

0.003

Constant incidence rate, based on a point prevalence of 30% for ages 20–39; 39.5% for ages 40–59; and 35.4% for age > 60; assumed to be cumulative incidence for each age range.

0

0.064

The National Health and Nutrition Examination Survey 2007–2008, a representative sample of the US population with measured heights and weights on 3281 children and adolescents (2 through 19 years of age) and 719 infants and toddlers (birth to 2 years of age).

[30]

Age 40–59

0.005

0.001

0.01

Age > 60

−0.002

0

0.005

  Odds of abusing drugs as an adult per yr. (any alcohol use/dependence)

0.007

Constant incidence rate estimated based on lifetime cumulative incidence of 26.6%

0.002

0.013

Survey of psychiatric disorders among persons aged 15 to 54 years in the US noninstitutionalized civilian population

[52]

  Odds of developing diabetes as an adult per yr

0.0069

Constant incidence rate assumed based on cumulative incidence of 6.9 per 1000 (age 18–79)

0.006

0.008

CDC data on incidence of diagnosed diabetes among people aged 18–79

[53]

  Odds of employment

12.7

Fixed prevalence based on a point prevalence of 92.7%; assumed fixed effect throughout adulthood (i.e., if employed stay employed and if unemployed stay unemployed from yr. to yr)

9.52

15.87

National unemployment rate from August 2013

[54]

  Odds Ratio adult with obesity develops diabetes

7.370

 

6.39

8.50

Random digit phone survey of US adults aged 18 yrs. or older participating in Behavioral Risk Factor Surveillance System in 2001

[32]

  Odds of newly interacting with the judiciary system as an adult per yr. (likelihood to ever go to prison)

0.002

Constant incidence rate assumed, based on lifetime cumulative incidence of 4.5%

0

0.005

Bureau of Justice data on lifetime likelihood of going to prison

[55]

  Odds of new psychiatric disorders as an adult per yr. (diagnosis of any mood disorder)

0.007

Constant incidence rate within age groups estimated based on lifetime prevalence of mood disorder starting at age 18.

0.005

0.009

Survey of US residents aged 18 yrs. and older in National Comorbidity Survey Replication 2001–2003

[56]

  Odds of cardiovascular disease as an adult, per yr

Age 18–44

0.004

Constant incidence rate within each decade based on annual incidence rate

0.002

0.006

NHLBI morbidity & mortality chart book on cardiovascular, lung and blood diseases

[16]

Age 45–54

0.007

0.006

0.008

Age 55–64

0.015

0.010

0.022

Age 65–74

0.028

0.020

0.035

Age 75–84

0.052

0.045

0.060

Age 85–94

0.075

0.07

0.08

  Odds Ratio of cardiovascular disease given that an adult has diabetes

2.300

Cardiovascular disease as the major health sequelae impacting life expectancy and quality of life calculated based on annual incidence rate of CVD in diabetes

1.5

3.5

Framingham study on cardiovascular disease and diabetes

[23]

  Odds Ratio of cardiovascular disease given that an adult has obesity

2.300

Assume to be the same as risk of CVD in patients with diabetes

1.5

3.5

Framingham study on cardiovascular disease and diabetes

[23]

  Odds Ratio of any psychiatric disorder given drug abuse

4.5

Any psychiatric disorder as the most significant health sequelae of drug abuse impacting life expectancy and quality of life; calculated based on lifetime co-occurrence of any mood disorder (depression, dysthymia mania) given alcohol abuse

3.36

7.38

NIMH interview of comorbid alcohol, other drug and mental health disorders; national survey of drug use and health

[57,58,59]

  Odds Ratio adult interacts with judiciary system given they abuse drugs

4.14

 

1.2

5.5

Prospective study of US criminal offenders substance use drug treatment and crime

[60]

  Odds Ratio adult interacts with judiciary system given interacting with the judiciary system in the last yr

227

Back calculated using the odds of interaction with judiciary within 3 years of release from prison

50

250

Prospective study of US criminal offenders’recidivism

[61]

  Odds Ratio of employment given graduated high school

1.88

 

1.5

3.0

Bureau of labors statistics report of college enrollment and work activity of 2015 US high school graduates

[62]

  Odds Ratio of employment given interacting with the judiciary system in the last yr

0.029

 

0.005

0.1

Study of employment among adults released from NYC jails

[63]

  Odds Ratio of using drugs given a history of abusing drugs in the last yr

47.62

 

35

571

Study of recovery from alcohol dependence among US adults

[64]

  Odds Ratio of obesity given obese in the last yr

331

Back-calculated using Odds of 0.007 of non-persistence of obesity in adults with obesity. Assumed constant incidence rate, based on cumulative incidence risk of 14% over 21 year follow up (from age 17 to 38) and fixed prevalence after age 38.

  

National longitudinal survey of US youths

[10, 65, 66]

Inputs influencing costs

 

Inputs ($)

Cost Unit

Lower range ($)

Upper range ($)

 

References

 Annual drug abuse treatment cost

$1000

per person per year

500

1500

 

[67]

 Annual drug abuse complication cost

$21,483

per person per year

10,742

32,225

 

[42]

 Annual diabetes treatment cost

$9975

per person per year

4988

14,963

 

[41]

 Annual diabetes complication cost

$1575

per person per year

788

2363

 

[40]

 Annual obesity treatment cost

$0

per person per year

0

0

 

[68]

 Annual obesity complication cost

$732

per person per year

366

1098

 

[43]

 Annual judiciary system cost of incarceration

$28,893

per person per year

14,447

43,340

 

[44]

 Annual unemployment opportunity cost

$33,160

per person per year

16,580

49,740

 

[45]

 ParentCorps ongoing annual costs per child

$500

per child

N/A

N/A

  

 ParentCorps capacity building costs per school

$100,000

per school

N/A

N/A

  

Inputs influencing utilities

 

Inputs (Utility)

    

References

 Utility of having diabetes

0.690

    

[69]

 Utility of having complications of diabetes

0.350

    

[69]

 Utility of drug abuse

0.670

    

[70]

 Utility of having complications of drug abuse

0.600

    

[70]

 Utility of being obese

0.710

    

[71]

 Utility of having complications of obesity

0.500

    

[71]

 Utility of being in prison

0.725

    

[72]

  1. Note: In the model odds are adjusted using odds ratios and then converted to probabilities using the formula probability = odds/(1 + odds)