We applied a decision tree model with a time horizon of one year to economically evaluate the AABR and OAE devices used in UNHS. Our perspective was the health care system, and we only considered the direct costs. We defined effectiveness as the number of neonates with hearing loss, whose hearing status has been correctly detected upon using either of the devices.
In general, the cost-effectiveness of these two devices was analyzed based on the annual birth rate statistics. The diagnostic accuracy of the two devices was derived from an up-to-date and high quality research (i.e., Heidari et al.’s systematic review and meta-analysis in 2016), and newborn screening and definite diagnosis costs were derived from hearing screening centers in Iran. In other words, this study is not a primary research (like a cohort); rather it is considered as a secondary study.
3.1. Rationale of the Model
In this model, we assumed a one-million-cohort population of neonates, who were screened during the first 24 hours of birth, using one of the AABR or OAE devices in a single stage, and without loss to follow up (decision node).
These devices identify the screened neonates as normal or abnormal. This detection may be true or false, and its possibility depends on the prevalence of the hearing loss, and the sensitivity and specificity of the devices. Here, hearing loss was defined as permanent congenital bilateral hearing loss exceeding 35 dB, presuming that the screening has been performed by an audiologist. Therefore, no error occurs due to the operator’s insufficient skills (chance node).
The newborns detected as positive (whether true or false) by the clinical Auditory Brainstem Response (ABR) device-as the gold standard-are considered to be definitely diagnosed. An audiologist performs this test, and the model presumes that its accuracy is 100%. The remaining newborns, whose results are negative (whether true or false) are discharged and not followed up (terminal node).
Each device has four branches and end nodes, and their expected cost is determined as follows:
- Branch A/A’ : The cost of screening and definite diagnosis of newborns, reflecting with true positive hearing loss, is included under this branch.
- Branch B/B’ : The cost of screening for newborns, showing false negative hearing loss, is included under this branch.
- Branch C/C’ : The cost of screening and definite diagnosis of newborns, showing false positive normal hearing, is included under this branch.
- Branch D/D’ : The cost of screening for newborns, showing true negative normal hearing, is included under this branch.
The total costs of these four branches indicate the total cost of each device in NHS. Our expected effectiveness for each device was calculated by multiplying the number of newborns entering the model by prevalence, and by device sensitivity.
3.2. Model Inputs
The main inputs of this model include the prevalence of hearing loss in Iran, device sensitivity and specificity, the cost of screening, and definite diagnosis of each newborn. Upon collection, these inputs were analyzed with TreeAge economic analysis software.
The data related to device sensitivity and specificity were collected through a recent systematic review and meta-analysis. This study was based on Cochrane Institute’s standard method for diagnostic accuracy studies.
Only one research has been conducted to analyze the sensitivity and specificity of the OAE, which was meta-analyzed in a systematic review by Heidari et al. [18]. No study was found investigating the sensitivity and specificity of AABR devices. Given that sensitivity and specificity are among the technical specifications of the devices and they are not affected by geographical and local environmental factors, it seems that meta-analysis studies conducted in other countries can be generalized to similar studies in Iran.
Furthermore, to extract relevant data on the prevalence of hearing loss, we focused mainly on the high quality, up-to-date studies with large sample sizes conducted in Iran. Thus, we searched the most important domestic databases such as Magiran, SID, and IranMedex, using the following keywords: ‘Hearing loss’, ‘newborn’ and ‘prevalence’.
The economic analysis in this study was conducted from the perspective of the healthcare system on evaluating cost-effectiveness. In this study, the cost of the newborns’ screening and the cost of definite diagnosis of newborns’ hearing ability were calculated based on the sources of cost used in hearing screening and definite diagnosis, and not based on the costs in private clinics.
To determine the costs, the sources of costs were identified first, and then the amount of each source was quantified and evaluated. Only the direct costs were considered to identify the sources. The unit cost was determined in two steps: In the first step, the unit cost of each of the devices was outlined for screening; and in the second step, the unit cost of the gold standard was outlined. In these two steps, cost findings include the costs of device purchase, repair and maintenance, annual depreciation, location, consumer products, required infrastructures, employees’ salaries and wages, human resources training, overhead costs, taxes and other direct costs. Based on these costs and the variables presented in
Table 1, the unit cost per newborn was estimated.
| Parameter | Baseline (Range), $ | Reference |
|---|
| AABR | OAE | Gold standard | |
|---|
| Device purchase | 5,503 - 7,153 | 4,127 - 5,777 | 17,882 - 22,009 | AE |
| Repair and maintenance during a year | 165 - 220 | 110 - 165 | 413 - 551 | AE |
| Infrastructure | 0 | 0 | 2,751 - 4,127 | AE |
| Testing and general supplies cost per newborn | 0.58 - 0.72 | 0.33 - 0.47 | 1.1 - 1.38 | AE |
| The monthly salary of a human resource | 771 - 881 | 771 - 881 | 771 - 881 | AE |
| Location (monthly rent) | 0 | 0 | 193 - 358 | AE |
| Monthly overhead | 0 | 0 | 110 - 165 | AE |
Abbreviation: AE, authors estimate.
Through contacting five audiology equipment manufacturers either by phone or in person posing as a customer, we obtained information about each device’s cost, lifespan, and salvage value across the country. The remaining sources of cost and the variables presented in
Table 2 were designed in the form of a questionnaire. Fifteen experienced audiologists employed in centers offering active UNHS programs completed the questionnaire. Eventually, after collecting the questionnaires, Delphi method was applied to analyze and summarize them.
| Variables | AABR | OAE | Gold Standard |
|---|
| The device’s lifespan | 6 years | 6 years | 6 years |
| Salvage value | $0 | $0 | $0 |
| Average duration of test for one newborn | 17 min | 12 min | 60 min |
| Average duration of device function in one day | 3 hour | 2 hour |
| Mean screening of newborns in one day | 11 infants | 15 infants | 2 infants |
| Average number of working days in a year | 288 days |
| Mean screening of newborns in one year | 3,168 infants | 4,320 infants | 576 infants |
Since the costs were calculated based on the currency in Iran, the exchange rate of 36,350 Iranian Rial (IRR) was used to convert the costs into the U.S. dollar.
In this study, attempt was made to examine the direct costs of human resources. These costs covered the salary and benefits of an audiologist and/or a technician or a secretary, and they did not require training. Moreover, location, overhead and infrastructure costs were not taken into account, because the devices are now portable and the screening test can be performed at the mother’s bedside or in the newborn’s special bed during the first 24 hours of life before the mother is discharged from the hospital.
Since there is no manufacturing company in Iran that recycles scrapped devices, zero was assigned to the salvage value of the devices.
Finally, upon examining the probability of uncertainty concerning the inputs, particularly cost data and the prevalence rate of hearing loss, sensitivity analysis was conducted in view of the maximum and minimum values of these parameters (with the assumption of keeping the other parameters constant).