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Table 3 Probabilities used to inform none-medicinal (other household products) decision model

From: A decision analytic model to investigate the cost-effectiveness of poisoning prevention practices in households with young children

Parameter

Description

Data sources

Derivation of required probabilities

Point estimate (standard error (SE)

Distribution

pSafe

Baseline prevalence of safe storage of non-medicines

Kendrick et al (paper om press)

Number of households with safe other household products/Total number of households selected as community controls in case control of risk and protective factors in children under 5 years old (Kendrick et al, paper om press).

948/1138 = 0.83

Beta

pAccept

Probability of accepting the intervention

Saramago, Cooper et al., 2015 [14]

Assumption based on value in Functional smoke alarm model [14]. Assumed the same for all interventions.

0.90

Fixed

pEff

Probability of safe storage of medicines given the intervention

Achana et al., 2015 [9]

(1) Usual care

(2) Education

(3) Provision of low cost/free low cost/free equipment

(4) Education + provision of low cost/free equipment

(5) Education + equipment + home safety inspection

(6) Education + equipment + fitting

(7) Education + equipment + home safety inspection + fitting

0.62 (95%CrI 0.34–0.81)

0.66 (95%CrI 0.38–0.87)

0.36 (95%CrI 0.00–1.00)

0.78 (95%CrI 0.48–0.94)

0.80 (95%CrI 0.51–0.94)

0.68 (95%CrI 0.32–0.90)

0.50 (95%CrI 0.00–1.00)

Posterior distribution of absolute intervention effects from network meta-analysis.

pIngest

Probability of unintentional exposure/ingestion

Orton et al., 2014 [10]

Tyrrell et al., 2012 [33]

Office for National Statistics, 2013 [34]

Number of unintentional poisoning cases among children under 5 years in 2012 = 12029 (see Table 2 above). Forty percent of poisoning cases is due to ingestion of non-medicinal substance [33]. Hence numerator = 12029*.4 = 4812.

4812/3996400 = 0.001204

Beta

orIngest

Relative risk of exposure to a medicinal substance comparing children with a poisoning to community controls.

Case control study of risk and protective factors for poison injuries in under 5 year olds (unpublished study)

Community controlled adjusted analysis odds ratio for safe storage versus no safe storage = 0.77 (95 % CI 0.59–0.99)

Log odds ratio (SE) = 0.2614 (0.132)

Normal

pAmb

Probability of using emergency ambulance.

Hospital Episode Statistics, 2012

Hospital Episode Statistics (2012b): 24.2 % of all cases arrived by emergency transfer (ambulance/helicopter).

0.242

Fixed

pAdmit

Probability of in-patient admission following a medicinal poisoning injury (ICD-10: X40-X44).

Hospital Episode Statistics, 2013 [35]

Office for National Statistics, 2013 [34]

Hospital Episode Statistics, 2012–2013) [35]: Number of poisoning cases (X45–X49) admitted in 0-4 years olds (period 2012–2013) in England = 1377. Scaled up by a factor of 1.163 (i.e. 1377*1.16 = 1597 cases for whole of UK) based on mid-2012 population estimates for UK and England, ONS 2012a [34].

1597/4812 = 0.3318

Beta

pSevere

Probability of severe poisoning injury

Mowry et al., 2013 [36]

NPDS 2012 report [36], Table 13, page 968) 1.91 % of major poisoning cases (across all age groups) resulted in a chronic health condition. Numerator = 0.019* 1597 = 30.

30/1597 = 0.0191

Beta

pFatal

Probability of fatal poisoning injury.

Office for National Statistics, 2012 [37]

UK mortality statistics [37]. 1 fatality from medicinal poisonings in 0–4 years old (assumed fatality occur after a long inpatient stay).

1/30 = 0.033

Beta

pDead

UK mortality statistics

Office for National Statistics, 2010 [38]

UK mortality statistics [38]

 

Normal