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Table 1 Key model input parameters

From: Lifetime cost-effectiveness and equity impacts of the Healthy Primary School of the Future initiative

Input parameters

Mean value

95% CI

Distribution (se)

Data source and assumptions e

Population estimates

Number of boys and girls aged 4 until 12 years of age

  

CBS Statline.

Intervention effect estimate

   

Bartelink et al. (2019)

Relative effect after 2 years of intervention in children aged 4–12 years

BMI z-score

  

Assumption: full effect maintenance over lifetime a

HPSF: −0.083

[−0.15;-0.02]

Gamma (0.08)

PAS: −0.066

[−0,13;-0.00]

Gamma (0.09)

 

BMI (standard deviation 2.55 kg/m2)

   

HPSF: −0.21

[− 0.38;-0.05]

Gamma (0.08)

PAS: −0.17

[−0.33;-0.00]

Gamma (0.09)

SES-specific 2-year relative effects

BMI z-score

  

Bartelink et al. (2019). Converted to BMI effects with standard deviation of 2.55 (based on the study sample at baseline).

HPSF vs control

  

low SES: −0.103

[−0.22;-0.02]

Gamma (0.16)

middle SES: −0.049

[−0.16;-0.06]

Gamma (0.14)

high SES: −0.063

[−0.18;-0.05]

Gamma(0.15)

PAS vs control

  

low SES: −0.067

[− 0.18;-0.05]

Gamma (0.15)

middle SES: −0.056

[−0.18;-0.06]

Gamma (0.16)

high SES: −0.051

[−0.16;-0.06]

Gamma (0.14)

Effect maintenance scenarios

   

Oosterhoff et al. (2020)

1.Constant- and decreasing effects after primary school

Maintenance factor uncontrolled environment

HPSF: 0.22

[0.04;0.39]

Lognormal (0.09)

 

PAS: 0.22

[0.06;0.37]

Lognormal (0.08)

 

2. Increasing- and decreasing effects after primary school

Relative BMI effect with household multiplier

    

HPSF: −0.30

[−0.42;-0.18]

Gamma(0.06)

PAS: −0.19

[−0.27;-0.12]

Gamma (0.04)

3. Increasing effects

Maintenance factor household maintainer

    

HPSF: 1.67

[1.48;1.85]

Lognormal (0.09)

PAS: 1.10

[1.01;1.19]

Lognormal (0.05)

Intervention cost estimate

   

Oosterhoff et al. (2019)

Net intervention costs, societal perspectiveb

HPSF: €153 per year (€0.96 per day) (2016)

 

Fixed

 

PAS: €346 per year (€2.16 per day) (2016)

 

Fixed

 

Net intervention costs, healthcare perspective b

HPSF: €715 per year (€4.47 per day) (2016)

 

Fixed

 

Childhood and adolescence

    

Weight status

    

Cut-off values of overweight and obesity (kg/m2)

  

Fixed

Cole et al. (2000)

BMI distribution Dutch children

Age and sex-specific values for skewness and variation

  

Schönbeck et al. (2011)

Health-related quality of life

    

Utility weights

Normal weight: 0.85

[0.84;0.87]

Beta (0.01)

Brown et al. (2018)

 

Overweight: 0.83

[0.81;0.85]

Beta (0.01)

 
 

Obesity: 0.82

[0.79;0.84]

Beta (0.01)

 

Health resource use

    

Average number of GP visits / year

59.6% children visiting GP * 6.7 visits / year

 

Fixed

Statline (n.d.)

Average number of specialist visits / year

27.0% children visiting GP * 9.7 visits / year

 

Fixed

Statline (n.d.)

Ratio of HC costs for overweight vs. normal weight

1

 

Fixed

Gortmaker et al. [based on Table A.3.2]

Ratio of HC costs for obesity vs. normal weight

1.22

[1.21;1.22]

Lognormal (0.00)

 

Cost price per GP visit b

€34

 

Fixed

Zorginstituut Nederland (2015)

Cost price per specialist visit b

€94

 

Fixed

Zorginstituut Nederland (2015)

School absenteeism

    

Median number of school absenteeism days / year c

5.0

 

Gamma (3.26)

Additional analysis based on data collection as described by Willeboordse et al. (2016)

Ratio of absenteeism for overweight vs. normal weight

1.27

[1.03;1.56]

Lognormal (0.14)

An et al. (2017)

Ratio of absenteeism for obesity vs. normal weight

1.54

[1.33;1.78]

Lognormal (0.11)

 

Cost price per school absenteeism day b

€27

 

Fixed

Drost et al. (2014)

Adulthood

    

Weight status a

Normal weight, overweight, obesity

 

Log-odds

Fifth Dutch Growth Study. Schönbeck et al. (2009)

Chronic diseases d

Obesity related diseases: acute myocardial infarction, coronary heart disease, stroke, renal, colorectal, breast, prostate, and endometrium cancer, diabetes mellitus, hip, knee arthritis, and low back pain.

Indirect-related diseases: Chronic obstructive pulmonary disease, lung, stomach, esophagus, larynx, bladder, pancreas, and oral cavity cancer

 

Prevalence: log-oddsIncidence: lognormal

RIVM Chronic Disease Model.

Hoogenveen et al. (2010), van Baal et al. (2006)

Adulthood

    

Health-related quality of life

    

Utility weights (for chronic disease)

  

Fixed

Dutch Burden of Disease Study. Melse et al. (2000)

Health resource use & unit costs

    

Disease healthcare costs

  

Fixed

Dutch Cost of Illness Study. Slobbe et al. (2006)

Productivity costs

    

Sick leave days

Overweight women: 3.64

 

Fixed

Lehnert et al. (2014)

Overweight men: 0

 

Obese women: 5.19

 

Obese men: 3.48

 

Net labour participation

72.2%

 

Fixed

CBS Statline (2017)

Working hours per week

31.4 (6.28 per day / 5 days a week)

 

Fixed

CBS Statline (2017)

Productivity costs / hour b

€36

 

Fixed

Zorginstituut Nederland (2015)

  1. Notes: BMI z-score Body mass index standardized score, CI Confidence interval, GP General practitioner, HC Healthcare, HPSF The Healthy Primary School of the Future, HRQOL Health-related quality of life, PAS The Physical Activity School, QALY Quality-adjusted life year
  2. a In the adulthood model, the uncertainty of the intervention effect was incorporated by including the overweight and obesity prevalence rates at young adulthood as probabilistic parameters. This uncertainty parameter reflected the boundaries of the 95% confidence interval of the intervention effect on BMI. The overweight and obesity prevalence rates at 20 years of age were included as multivariate normal distributions with a perfect correlation
  3. b Updated to 2018 prices
  4. c The analysis was based on crossectional data (baseline year). Regression analysis with a Poisson distribution was used to reflect the count data. The effect of weight status (normal weight [reference level], overweight and obesity) on school absenteeism days was analysed. Analysis were additionally adjusted for sex, grade, school type, socioeconomic status and ethnicity
  5. d We used coupled sets of random draws for the prevalence, incidence and mortality for the chronic diseases in the probabilistic sensitivity analysis
  6. e References can be found in Additional File 3