Skip to main content

Evaluating reporting and process quality of publications on UNHS: a systematic review of programmes



Congenital hearing loss is one of the most frequent birth defects, and Early Detection and Intervention has been found to improve language outcomes. The American Academy of Pediatrics (AAP) and the Joint Committee on Infant Hearing (JCIH) established quality of care process indicators and benchmarks for Universal Newborn Hearing Screening (UNHS). We have aggregated some of these indicators/benchmarks according to the three pillars of universality, timely detection and overreferral. When dealing with inter-comparison, relying on complete and standardised literature data becomes crucial.

The purpose of this paper is to verify whether literature data on UNHS programmes have included sufficient information to allow inter-programme comparisons according to the indicators considered.


We performed a systematic search identifying UNHS studies and assessing the quality of programmes.


The identified 12 studies demonstrated heterogeneity in criteria for referring to further examinations during the screening phase and in identifying high-risk neonates, protocols, tests, staff, and testing environments. Our systematic review also highlighted substantial variability in reported performance data. In order to optimise the reporting of screening protocols and process performance, we propose a checklist. Another result is the difficulty in guaranteeing full respect for the criteria of universality, timely detection and overreferral.


Standardisation in reporting UNHS experiences may also have a positive impact on inter-program comparisons, hence favouring the emergence of recognised best practices.

Peer Review reports


The prevalence of sensorineural hearing loss ranges from 0.1 to 0.3 % for newborns [15] (2 to 5 % with the presence of audiological risk factors) [6]. In the absence of newborn screening, parents can only observe their infant for any inattention or unresponsiveness to sound [7, 8], often leading to delayed diagnosis of hearing loss until age 14 months on average [9]. This delay results in impaired language, learning, and speech development [10, 11], with lifelong consequences [12] including associations with increased behaviour problems, decreased psychosocial well-being, and poor adaptive skills [1315]. Identification of hearing impairment in early childhood allows early intervention during a ‘sensitive period’ for language development [16]. More than half of babies born with hearing impairment do not have prospectively identifiable risk factors, so only universal newborn hearing screening (UNHS) programmes can identify the majority of those affected [17]. UNHS is performed via otoacoustic emission (OAE) and/or automated auditory brainstem response (aABR) testing. Neonates with positive tests are referred to audiological full evaluations for diagnosis. Children with confirmed hearing loss are managed according to early intervention strategies, which depend on the identified aetiology and may be divided into the following broad categories: audiological, medical/surgical management; educational and (re)habilitation methods; and child and family support [18].

The benefits of UNHS have been highlighted in two published systematic reviews. Nelson and colleagues [19] found that children with hearing loss identified through UNHS obtained better language outcomes at school age than those not screened, and that screened infants identified with hearing loss had significantly earlier referral, diagnosis and treatment than those not screened. Wolff and colleagues [20] determined that early identification and treatment were associated with improved long-term language development. More recently, numerous observational cohort studies [17, 2123] have shown that early detection and intervention improve long-term reading and communication abilities when compared with no screening or late distraction hearing screening.

Differences between countries in terms of healthcare systems and the availability of resources and personnel to implement hearing screening programmes result in different approaches to implementation. Evidence from successful newborn and infant hearing screening programmes indicates several factors associated with better outcomes [24]. These include but are not limited to the following: a clearly defined and documented screening protocol; regular monitoring to ensure correct implementation of the protocol; specific training for the staff conducting the screening; quality-assurance procedures implemented to show when results are not consistent with expectations and to track what happens to all those who do not pass the screening [24].

In 1999 the American Academy of Pediatrics (AAP) Task Force on Newborn and Infant Hearing [9] formally supported the Joint Committee on Infant Hearing (JCIH) position [25] to prevent these adverse consequences through universal screening and detection of newborns with hearing loss before 3 months of age and intervention by 6 months of age, as recommended by the National Institutes for Health [26]. The JCIH recommendations [27, 28] form the basis for Universal Newborn Hearing Screening (UNHS) programmes developed worldwide and implemented routinely through national legislation, regional provisions or single health enterprise/hospital initiatives. Following the 1999 AAP Task Force [9], the 2000 JCIH Position Statement [27] established process and outcome performance benchmarks for Early Hearing and Detection Intervention (EHDI) programmes to evaluate UNHS progress [29] and determine programme consistency and stability [30]. Any programme not meeting these quality benchmarks should identify sources of variability and improve its processes [31]. The JCIH also suggested that hospitals and state programmes establish periodic review processes to re-evaluate benchmarks as more outcome data becomes available [27]. In 2007 [28], together with an updating of the proposed indicators for quality measure, the JCIH recommended timely and accurate monitoring of relevant quality measures as an essential practise for inter-programme comparison and continuous quality improvement.

Starting from the available statements [9, 27, 28], we have aggregated some of the already available indicators/benchmarks to evaluate the process quality of a hospital-based UNHS programme according to its three pillars of universality, timely detection and overreferral. The proposed aggregation reflects the need to measure the performance of screening programs with respect to population coverage, prompt diagnosis and consequent activation of therapeutic strategies, impact on resource consumption and stress for parents and families.

An efficient way to favour inter-programme comparison is to rely on complete and standardised literature data (avoiding, for example, the burden of contacting authors to retrieve unpublished information) and so we performed the present study to verify whether literature data reporting experiences of UNHS programmes included sufficient information to allow inter-program comparisons according to the proposed indicators.



We conducted a systematic literature search to identify studies on hospital-based UNHS programmes. State-wide EHDI programmes were not taken into account.

These studies (in English) were identified by searching electronic databases, scanning reference lists of articles and consultation with experts. We excluded articles without a screening protocol description, unequivocal assignment of results to the described protocols when more than one was used, or presence of the results of a full audiological evaluation (assumed as the reference gold standard). When different publications on the same cohort were identified, only the most recent was considered, with analysis of the previous ones if relevant to retrieve missing information. Databases searched included Ovid MEDLINE (R), EMBASE, CINHAL, Cochrane Library, and Science Citation Index (Web of Science).

The search was applied, from 1990 to 2014 (last search February 5th, 2014) and an additional exclusion criterion was introduced, after the full-text screening phase, in order to limit the analysis to articles submitted after the publication of the first JCIH position statement (October 2000) [27] with quality indicators and benchmarks. The year 2000 was a plausible cut-off date, even with the 2007 JCIH criteria, as no additional indicator was added in the 2007 JCIH position statement with respect to the ones either suggested by the AAP in 1999 or by the JCIH in 2000. Search terms used in all databases included: child*, infant*, neonate*, newborn*, new born, paediatri*, pediatric*, hearing disorders, hearing impair*, hearing problem*, hearing defect*, hearing los*, deaf*, paracus* and dysacus*, and screen*. A fourth category of inclusion criteria was related to the study design in order to include multi-centre, observational and other types of clinical trials dealing with evaluation of programme efficacy.

Additional file 1: Appendix 1 provides the detailed search strategy. FC developed the search strings for each single database, interrogated the repositories and cleaned from duplicates. Two reviewers (PM, CGL) independently assessed abstract and full text eligibility with disagreements resolved by consensus (CGL, PM, SS, DC, JBW and GL).

This research did not involve human subjects.

The review is reported according to the Prisma Statement [32].

Quality indicators and benchmarks

As suggested by the WHO, benchmarking of UNHS, i.e. evaluation of the programme against a set of quality standards, should include the minimum participation rate at screening; age at completion of the screening process; maximum referral rate; minimum participation rate and age at completion of diagnostic testing [24].

We assumed as reference indicators and benchmarks the one proposed by the AAP and JCIH whose statements are milestones recognised worldwide in the development of UNHS programs. Such indicators fulfil the WHO indications for UNHS programme monitoring [24].

We grouped the AAP [9] and JCIH [28] quality indicators and related benchmarks into three main aspects for assessment (Table 1):

Table 1 Quality indicators and related benchmarks assessed in our study
  1. 1)

    Universality – measured in terms of coverage of the population in both recruitment and follow-up phases

  2. 2)

    Timely detection – evaluated according to the observed prevalence (influenced by false negatives) and the average time for diagnosis

  3. 3)

    Overreferral – estimated by referral rates in key phases of the screening programme.

Data extraction

Pre-specified extracted information included: (1) type of study, description of programme parameters, methods for risk assessment, tests used, positivity criteria (screening threshold levels [dB] and unilateral vs. bilateral hearing loss used for the screening tests), environmental test conditions, types of personnel performing the test; (2) quality indicators. Two authors (CGL, PM) separately extracted data from each included study. Disagreements were resolved by discussion among the authors.

The authors of the selected articles were contacted whenever there was a need to obtain additional details on the reported data.


We identified 1,641 citations with eight additional citations from hand-searching personal literature files and reference lists, yielding 1,649 in all but only 1,151 non-duplicate citations. After abstract review, 90 met criteria for full text retrieval, and of these, 12 articles [3344] met criteria for full analysis (Additional file 2: Figure S1); these include two studies [35, 38] that reported only on neonates without risk factors but were included since those were part of a UNHS programme. The following authors were contacted for additional details: Calevo [34] to specify whether the second ABR test considered was automatic or diagnostic; Guastini [37] to clarify the false-positive rate of the fourth stage considered in their programme; Kennedy [39] for clarifications on lost to follow-up; Lin [41] for clarifications on the full audiological evaluation phase. All the information provided was considered in the present work.

Table 2 describes the selected articles. The only controlled clinical trial of UNHS and the 8-year follow-up resulted in a publication also based on a preliminary report published 7 years earlier [39, 40].

Table 2 Study description and protocol used

Audiological risk classification was based on different criteria: JCIH recommendations [33, 34, 36, 38], and ad-hoc criteria; [37, 39, 42, 43] four studies provided no details on this point. [35, 40, 41, 44] One of the studies using JCIH criteria did not use the most recent guidelines available at the start of their recruiting period [34], and another one [36] reported using a standard that was unavailable at the start of their recruitment.

In our analysis, any examination subsequent to the first one was considered to comprise part of the follow-up phase (Fig. 1 displays the framework used for characterising the screening processes in each study). Screening examinations were carried out with one or more of the following: transient evoked otoacoustic emission (TEOAE), and/or auditory brainstem response (ABR). Although most studies use automated ABR (aABR) for screening, in three cases [34, 36, 37], diagnostic ABR (dABR), usually part of the final definitive audiological evaluation, was included within initial screening to gain additional qualitative and quantitative information about auditory nerve and brainstem pathway function. Hence, for our study we used ABR to refer to both aABR and dABR screening. In Lin and colleagues [41], dABR was performed at age 1 month, with all other gold standard examinations performed at age 3–6 months. Screening programmes involved a maximum of two [33, 35, 38, 39, 41, 43, 44], three [36, 41, 42] or four [34, 37, 40] examinations prior to definitive audiological evaluation and in six cases [33, 35, 38, 39, 41, 44] no distinction was reported for neonates with audiologic risk factors.

Fig. 1

Framework for characterising the screening processes in each study

These 12 published studies reported on 14 screening protocols (Table 2) because during separate time frames, one study [36] reported three different protocols (only TEOAE, only ABR and both). Only otoemission was used in five protocols [33, 38, 40, 41, 43], only ABR in three [35, 41, 44] and both techniques in six [34, 36,37, 39, 41, 42]. For neonates staying in NICU for more than 5 days, five protocols [3537, 41, 44] (the “c” protocol in Lin et al. [41]) screened with ABR as recommended by the JCIH. De Capua et al. [36] used dABR for all neonates with 2 day NICU stays, which we felt was sufficiently consistent with the 2007 JCIH recommendations. Guastini [37] used “staying in NICU for at least 48 h” as a criterion for increased audiological risk. Conversely, although Calevo et al. [34] and Rohlfs et al. [42] used ABR for all higher risk neonates, NICU stays exceeding 5 days were not considered to be a risk factor in their protocols.

The threshold for defining a positive screening test for hearing loss varied across studies: 26 [38], 30 [36], 35 [35, 42, 44] or 40 [33, 34, 37, 39, 40] dB HL (Decibel Hearing Loss) while Lin and collegues [41] and Tatli and colleagues [43] did not report any threshold. Suspected hearing loss required unilateral involvement in eleven studies [3338, 4044] and bilateral involvement in one [39]. The criteria for defining the presence of hearing loss at definitive audiological evaluation was identical to that used in the screening phase in all studies except in Kennedy [39]. In this study, due to the high rates of positive unilateral screening test results in neonates < 48 h old measured in the first year of the programme, the unilateral criteria for screening was changed to bilateral involvement.

Testing personnel consisted of technicians in three studies [36, 38, 44], audiologists in three [33, 37, 40], and trained physicians/assistants/nurses in three [35, 39, 42] with no specification in three [34, 41, 43] (Table 2). Testing environmental conditions were reported in seven [3337, 40, 43] out of 12 studies (Table 2).

Results, aggregated for the three quality aspects, are summarised in Table 3 and are presented in detail in Additional file 3: Table S1, Additional file 4: Table S2, Additional file 5: Table S3 (indicators ID4a and ID4b, reported in Additional file 4: Table S2, have not been reported in Table 3). We categorised performance as A when the benchmark was achieved, I when inadequate, and N.R. when not reported.

Table 3 Overall performance indicator results

For Universality (Additional file 3: Table S1), one study [34] achieved the benchmark of 95 % screened in the first month of life (ID1). Out of the six [33, 36, 38, 39, 42, 44] that failed to meet that standard, one study had a 66.5 % [44] average screening rate (due to a low 38.4 % performance in the first reported year) with the others ranging from 83.2 % [39] to 93.2 % [36]. Five studies [35, 37, 40, 41, 43] could not be evaluated for this benchmark. For follow-up (ID2), ten [3339, 41] (only protocols with either OAE or ABR),[43, 44] achieved the 70 % benchmark; three [40, 41] (only protocol with OAE and ABR), [42] reported 27.1 % [40] to 65.1 % [42] follow-up [39].

For Timely detection (Additional file 4: Table S2), audiological evaluation completion by 3 months of age (ID3) could only be assessed with certainty in one study [36]. Among the remaining eleven, five [33, 34, 37, 39, 42] reported the age at diagnosis using criteria that differed from the one recommended by the JCIH (90th percentile diagnosed by 3 months of age). Six studies [35, 38, 40, 41, 43, 44] did not report results on this issue. Overall measured prevalence – i.e., ID4c – (Additional file 4: Table S2) varied from 0.07 % [37] to 0.46 % [33, 41] with observed prevalence rates of 1.1 % [37] to 4.89 % [34] for neonates at higher risk (ID4a) [34, 36, 37], and 0.04 % [37] to 0.68 % [35] (ID4b) for neonates without audiological risk factors [3438, 40, 44]. ID4a and ID4b are not reported in Table 3 but only in Additional file 4: Table S2.

For Overreferral (Additional file 5: Table S3), our assessment was based on the overall study population (i.e., neonates either with or without risk factors). It is important, when reading the indicators, to consider the mix of the population with respect to risk factors. In fact, neonates classified as higher risk comprised 1.4 % to 11.2 % [33, 34, 36, 37, 39] of those screened and can determine a change in the value of the indicators due to the different risk of hearing loss within the two populations. Eight studies [3437, 3942] achieved the referral after hospital discharge benchmark (ID5). This criterion was not met in one study [33] and was not evaluable in three [38, 43, 44].

All the studies achieved the referral rate benchmark for definitive audiological evaluation for all newborn infants who failed initial screening and any subsequent rescreening – ID6 – (in the case of Lin et al. [41] the benchmark was not achieved in the protocol using only OAE). Exactly the same result is verified for the false-positive rate benchmark (ID7).


The purpose of this study was to verify whether literature data on hospital-based UNHS programmes included sufficient information to allow inter-programme comparisons according to the considered indicators, taken from available internationally recognised position statements [9, 27, 28], and aggregated according to the pillars of universality, timely detection and overreferral.

We found that not all studies reported all the data necessary for calculating the complete proposed set of quality indicators, and that when comparing available data on indicators with corresponding benchmarks, the full achievement of all the recommended targets is an open challenge.

Additional considerations may be made from the above-reported results.

We found substantial heterogeneity in the literature data in the criteria for hearing loss detection (bilateral or unilateral; threshold – in this case in line with the finding of another systematic review [46]), the criteria for identifying high-risk neonates, the screening tests used, the personnel performing the tests, and the environment in which the tests were carried out.

Two of the benchmarks considered for Overreferral (ID5 and ID6 in Additional file 5: Table S3) suggest the proportion of neonates that should be referred after discharge and of those sent for definitive audiological evaluation after screening. In clinical practise, achieving these benchmarks may be adversely affected if an institution has a high proportion of higher-risk neonates in its population. Adjustment for case-mix by having separate benchmarks for the higher- and average-risk populations would resolve this potential issue. Moreover, these benchmarks may be affected in cases where neonates with audiological risk factors are directed to subsequent steps or to the full audiological evaluation even when passing a screening test.

Our study confirms the presence of another important bias in evaluating programme performances, due to the difficulty in identifying the false negative cases. In fact, this requires excellent cooperation between health organisations and the ability to evaluate whether any possible hearing loss identified at a later age has an acquired, late-onset, progressive aetiology or is a true false negative.

Finally, incomplete follow-up, besides potentially missing some neonates with hearing loss, may also under- or over-estimate programme performance by affecting the age at diagnosis, prevalence, percentage of newborns eligible for definitive audiological evaluation, and false positive rate. As reported in Kemper and Downs [47], although in the United States UNHS has been universally adopted, a key challenge has been identified in assuring that screening is consistently administered with good follow-up and that those identified with hearing impairment receive effective intervention. Assuring follow-up after screening is especially difficult [48]. In fact, in a US survey [49] only 62 % of all newborns with positive screening tests completed definitive diagnostic evaluation; of these, only 52 % were evaluated by 3 months of age as recommended by the JCIH. Loss to follow-up at all stages of the EHDI process also continues to be a serious concern for the World Health Organization (WHO) [24], which emphasises the importance of monitoring and implementing all phases of screening (responsibilities, training, information campaign, procedures of quality assurance). As averred by the AAP [50] and endorsed by the JCIH [28], EHDI should include a surveillance phase in which infants up to 30 months of age undergo monitoring for auditory skills, middle-ear status, and developmental milestones. This can lead to earlier detection of hearing loss in infants who had been lost to follow-up, as well as identifying false negatives missed at UNHS.

Our contribution focuses on UNHS programmes. For this reason we referred only to the subset of the indicators developed by the AAP and JCIH, which since their statements are focused on EHDI, also allow assessment of the quality of the diagnostic, treatment and follow-up processes. A more extensive application of our approach for the full monitoring of EHDI programmes should consider this limitation.

Moreover, it must be considered that the referred benchmark values are based on expert opinion and that it is not clear whether achieving or not achieving them directly correlates with a threshold where benefits outweigh any harm of screening or vice versa. An un-reflected adoption of such benchmarks then seems inadequate.

Another limitation is the restriction to articles written in English. However, many authors from non-English-speaking countries often publish in English-language journals; in the present review all but one [39] considered studies originating from non-English-speaking countries.

An additional limitation derives from the fact that the 12 retrieved studies are probably not representative of the existing UNHS programmes worldwide. This depends on the presence of results not published in peer-reviewed journals indexed in bibliographic databases, but issued as reports in the gray literature.


As reported in the 2007 JCIH Position Statement [28], regular measurement of performance and routine monitoring of indicators are recommended for inter-programme comparison and continuous quality improvement. Frequent assessment of quality permits prompt recognition and correction of any unstable component of the EHDI process [51]. Our systematic review of UNHS studies highlights substantial variability in programme design and in reported performance data. In order to optimise reporting of screening protocols and process performance we propose a checklist (Table 4). In developing this list, we have relied on the investigative approach used in our study: description of the protocol and analysis of the aspects of quality indicators (Universality, Timely detection, and Overreferral). Future studies should address the following critical areas: assessment of long-term outcomes of neonates with negative screening tests, causes for and interventions to reduce patients lost to follow-up, the standardisation of recommended quality indicators, and the definition of evidence-based benchmarks.

Table 4 Reporting checklist

Another result inferable from an initial analysis of available data is the difficulty in guaranteeing full respect for the criteria of universality, timely detection and overreferral. Standardisation in reporting UNHS experiences may also have a positive impact on inter-programme comparisons, hence favouring the emergence of recognised best practises.



Automatic auditory brainstem response


American academy of pediatrics


Auditory brainstem response


Diagnostic auditory brainstem response


Early hearing detection and intervention


Joint committee on infant hearing


Neonatal intensive care unit


Otoacoustic emission


Universal newborn hearing screening


  1. 1.

    Barsky-Firkser L, Sun S. Universal newborn hearing screenings: a three-year experience. Pediatrics. 1997;99(6), E4.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Mehl AL, Thomson V. The Colorado newborn hearing screening project, 1992–1999: on the threshold of effective population-based universal newborn hearing screening. Pediatrics. 2002;109(1), E7.

    Article  PubMed  Google Scholar 

  3. 3.

    Vartiainen E, Kemppinen P, Karjalainen S. Prevalence and etiology of bilateral sensorineural hearing impairment in a Finnish childhood population. Int J Pediatr Otorhinolaryngol. 1997;41(2):175–85.

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    U.S. Department of Health and Human Services. Healthy People 2010. In: With Understanding and Improving Health and Objectives for Improving Health, vol. 2. 2nd ed. Washington, D.C: U.S. Government Printing Office. November; 2000.

    Google Scholar 

  5. 5.

    US Center for Diseases Control and Prevention. Summary of 2009 National CDC EHDI Data. Available at

  6. 6.

    Norton SJ, Gorga MP, Widen JE, et al. Identification of neonatal hearing impairment: a multicenter investigation. Ear Hear. 2000;21(5):348–56.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Arehart KH, Yoshinaga-Itano C, Thomson V, Gabbard SA, Stredler BA. State of the states: The status of universal newborn screening, assessment, and intervention systems in 16 states. Am J Audiol. 1998;7:101–14.

    Article  PubMed  Google Scholar 

  8. 8.

    Harrison M, Roush J. Age of suspicion, identification and intervention for infants and young children with hearing loss: A national study. Ear Hear. 1996;17:55–62.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Erenberg A, Lemons J, Sia C, Trunkel D, Ziring P. Newborn and Infant Hearing Loss: Detection and Intervention. Pediatrics. 1999;103(2):527–30.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Rach GH, Zielhuis GA, van den Broek P. The influence of chronic persistent otitis media with effusion on language development of 2- to 4-year-olds. Int J Pediatr Otorhinolaryngol. 1988;15:253–61.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Moeller MP, Osberger MJ, Eccarius M. Receptive Language Skills: Language and Learning Skills of Hearing-Impaired Children, vol. 23. Bethesda, Md: American Speech, Language and Hearing Association; Monographs of the American Speech, Language and Hearing Association; 1986. p. 41–53.

    Google Scholar 

  12. 12.

    Allen TE. Patterns of academic achievement among hearing impaired students: 1974 and 1983. In: Schildroth A, Karchmer AM, editors. Deaf Children in America. Boston, Mass: College-Hill Press; 1986. p. 161–206.

    Google Scholar 

  13. 13.

    Davis A, Hind S. The impact of hearing impairment: a global health problem. Int J Pediatr Otorhinolaryngol. 1999;49 suppl 1:S51–4.

    Article  PubMed  Google Scholar 

  14. 14.

    van Eldik TT. Behavior problems with deaf Dutch boys. Am Ann Deaf. 1994;139(4):394–9.

    Article  PubMed  Google Scholar 

  15. 15.

    Vostanis P, Hayes M, Feu MD, Warren J. Detection of behavioural and emotional problems in deaf children and adolescents: comparison of two rating scales. Child Care Health Dev. 1997;23(3):233–46.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Thomas MSC, Johnson MH. New advances in understanding sensitive periods in brain development. Curr Dir Psychol. 2008;17:1–5.

    Article  Google Scholar 

  17. 17.

    Pimperton H, Blythe H, Kreppner J, Mahon M, Peacock JL, Stevenson J, Terlektsi M, Worsfold S, Ming Yuen H, Kennedy CR. The impact of universal newborn hearing screening on long-term literacy outcomes: a prospective cohort study. Arch Dis Child. doi:10.1136/archdischild-2014-307516.

  18. 18.

    Patel H, Feldman M. Universal newborn hearing screening. Paediatr Child Health. 2011;16(5):301–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Nelson HD, Bougatsos C, Nygren P, 2001 US Preventive Services Task Force. Universal newborn hearing screening: systematic review to update the 2001 US Preventive Services Task Force Recommendation. Pediatrics. 2008;122(3):689.

    Google Scholar 

  20. 20.

    Wolff R, Hommerich J, Riemsma R, Antes G, Lange S, Kleijnen J. Hearing screening in newborns: systematic review of accuracy, effectiveness, and effects of interventions after screening. Arch Dis Child. 2010;95(2):130–5.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Kasai N, Fukushima K, Omori K, Sugaya A, Ojima T. Effects of early identification and intervention on language development in Japanese children with prelingual severe to profound hearing impairment. Ann Otol Rhinol Laryngol Suppl. 2012;202:16–20.

    Article  PubMed  Google Scholar 

  22. 22.

    Korver AM, Konings S, Dekker FW, et al. DECIBEL Collaborative Study Group. Newborn hearing screening vs later hearing screening and developmental outcomes in children with permanent childhood hearing impairment. JAMA. 2010;304(15):1701–8.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    McCann DC, Worsfold S, Law CM, et al. Reading and communication skills after universal newborn screening for permanent childhood hearing impairment. Arch Dis Child. 2009;94(4):293–7.

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    World Health Organization. Neonatal and infant hearing screening. Current issues and guiding principles for action. Outcome of a WHO informal consultation held at WHO head-quarters, Geneva, Switzerland, 9–10 November, 2009. Geneva; WHO. 2010. Available at:

  25. 25.

    Joint Committee on Infant Hearing 1994 Position Statement. American Academy of Pediatrics Joint Committee on Infant Hearing. Pediatrics. 1995;95(1):152–6.

    Google Scholar 

  26. 26.

    NIH. Early Identification of Hearing Impairment in Infants and Young Children. NIH Consens Statement. 1993;11(1):1–24.

    Google Scholar 

  27. 27.

    Joint Committee on Infant Hearing. Year 2000 Position Statement: Principles and Guidelines for Early Hearing Detection and Intervention Programs. Pediatrics. 2000;106(4):798–817.

    Article  Google Scholar 

  28. 28.

    Joint Committee on Infant Hearing. Year 2007 Position Statement: Principles and Guidelines for Early Hearing Detection and Intervention Programs. Pediatrics. 2007;120(4):898–921.

    Article  Google Scholar 

  29. 29.

    O’Donnell NS, Galinsky E. Measuring Progress and Results in Early Childhood System Development. New York, NY: Families and Work Institute; 1998.

    Google Scholar 

  30. 30.

    Wheeler DJ, Chambers DS. Understanding Statistical Process Control. Knoxville, TN: SPC Press, Inc.; 1986.

    Google Scholar 

  31. 31.

    Tharpe AM, Clayton EW. Newborn hearing screening: Issues in legal liability and quality assurance. Am J Audiol. 1997;6:5–12.

    Article  Google Scholar 

  32. 32.

    Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, John PA. & reporting The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions : explanation and elaboration. BMJ Br Med J. 2009. 339:b2700. doi:10.1136/bmj.b2700.

  33. 33.

    Bevilacqua MC, Alvarenga Kde F, Costa OA, Moret AL. The universal newborn hearing screening in Brazil: From identification to intervention. Int J Pediatr Otorhinolaryngol. 2010;74(5):510–5.

    Article  PubMed  Google Scholar 

  34. 34.

    Calevo MG, Mezzano P, Zullino E, Padovani P, Serra G, STERN Group. Ligurian experience on neonatal hearing screening: clinical and epidemiological aspects. Acta Paediatr. 2007;96(11):1592–9.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Cebulla M, Shehata-Dieler W. ABR-based newborn hearing screening with MB11 BERAphone1 using an optimized chirp for acoustical stimulation. Int J Pediatr Otorhinolaryngol. 2012;76(4):536–43.

    Article  PubMed  Google Scholar 

  36. 36.

    De Capua B, Costantini D, Martufi C, Latini G, Gentile M, De Felice C. Universal neonatal hearing screening: the Siena (Italy) experience on 19,700 newborns. Early Hum Dev. 2007;83:601–6.

    Article  PubMed  Google Scholar 

  37. 37.

    Guastini L, Mora R, Dellepiane M, Santomauro V, Mora M, Rocca A, et al. Evaluation of an automated auditory brainstem response in a multi-stage infant hearing screening. Eur Arch Otorhinolaryngol. 2010;267(8):1199–205.

    Article  PubMed  Google Scholar 

  38. 38.

    Habib HS, Abdelgaffar H. Neonatal hearing screening with transient evoked otoacoustic emissions in Western Saudi Arabia. Int J Pediatr Otorhinolaryngol. 2005;69(6):839–42.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Kennedy C, McCann D, Campbell MJ, Kimm L, Thornton R. Universal newborn screening for permanent childhood hearing impairment: an 8-year follow-up of a controlled trial. Lancet. 2005;366(9486):660–2.

    Article  PubMed  Google Scholar 

  40. 40.

    Korres S, Nikolopoulos TP, Peraki EE, et al. Outcomes and Efficacy of Newborn Hearing Screening: Strengths and Weaknesses (Success or Failure?). Laryngoscope. 2008;118(7):1253–6.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Lin HC, Shu MT, Lee KS, Lin HY, Lin G. Reducing False Positives in Newborn Hearing Screening Program: How and Why. Otol Neurotol. 2007;28(6):788–92.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Rohlfs AK, Wiesner T, Drews H, Müller F, Breitfuss A, Schiller R, et al. Interdisciplinary approach to design, performance, and quality management in a multicenter newborn hearing screening project. Introduction, methods, and results of the newborn hearing screening in Hamburg (Part I). Eur J Pediatr. 2010;169(11):1353–60.

    Article  PubMed  Google Scholar 

  43. 43.

    Tatli MM, Bulent Serbetcioglu M, Duman N, et al. Feasibility of neonatal hearing screening program with two-stage transient otoacoustic emissions in Turkey. Pediatr Int. 2007;49(2):161–6.

    Article  PubMed  Google Scholar 

  44. 44.

    Tsuchiya H, Goto K, Yunohara N, et al. Newborn hearing screening in a single private Japanese obstetric hospital. Pediatr Int. 2006;48(6):604–7.

    Article  PubMed  Google Scholar 

  45. 45.

    Wessex Universal Neonatal Hearing Screening Trial Group. Controlled trial of universal neonatal screening for early identification of permanent childhood hearing impairment. Lancet. 1998;352(9145):1957–64.

    Article  Google Scholar 

  46. 46.

    Olusanya BO, Somefun AO, de Swanepoel W. The Need for Standardization of Methods for Worldwide Infant Hearing Screening: A Systematic Review. Laryngoscope. 2008;118(10):1830–6.

    Article  PubMed  Google Scholar 

  47. 47.

    Kemper AR, Downs SM. Making informed policy decisions about newborn hearing screening. Acad Pediatr. 2012;12(3):157–8.

    Article  PubMed  Google Scholar 

  48. 48.

    Russ SA, Hanna D, DesGeorges J, Forsman I. Improving follow-up to newborn hearing screening: a learning collaborative. Pediatrics. 2010;126:S59–69.

    Article  PubMed  Google Scholar 

  49. 49.

    Shulman S, Besculides M, Saltzman A, Ireys H, White KR, Forsman I. Evaluation of the universal newborn hearing screening and intervention program. Pediatrics. 2010;126 Suppl 1:S19–27.

    Article  PubMed  Google Scholar 

  50. 50.

    American Academy of Pediatrics, Council on Children With Disabilities, Section on Developmental Behavioral Pediatrics, Bright Futures Steering Committee, Medical Home Initiatives for Children With Special Needs Project Advisory Committee. Identifying infants and young children with developmental disorders in the medical home: an algorithm for developmental surveillance and screening. Pediatrics. 2006;118:405–20.

    Article  Google Scholar 

  51. 51.

    Agency for Health Care Policy and Research. Using Clinical Practice Guidelines to Evaluate Quality of Care: Vol II—Methods. Rockville, MD: US Department of Health and Human Services, Public Health Service; 1995. AHCPR publication 95–0046.

    Google Scholar 

Download references


We, the authors, are the only persons responsible for the content of the article.

Our work has been complemented by the contribution of Marina Cerbo, Antonella Cavallo, Fabio Bernardini (Italian National Agency for Regional Healthcare Services - Age.Na.S.) who collaborated on the retrieval of full papers, Alessandro Montedori (Umbria Region, Italy) who assisted in search strategy and abstract retrieval, and Roberto Guarino (National Research Council, Institute of Clinical Physiology) who collaborated on representing the framework for characterising the screening processes in each study. Finally, we thank Stephen Pauker (Division of Clinical Decision-Making, Department of Medicine, Tufts Medical Center, Boston Massachusetts - USA) for thoughtful methodological suggestions.

Author information



Corresponding author

Correspondence to Pierpaolo Mincarone.

Additional information

Competing interests

The authors declare that they have no competing interests.

Part of the work that led to the present publication was carried out within the framework of a study funded by the Italian National Center for Disease Prevention and Control, Ministry of Health: “Cost-effectiveness Evaluation of Universal Newborn Hearing Screening National Programmes”. In this project, only ASL Brindisi and the National Research Council-Institute for Research on Population and Social Policies received funds. The other investigators had no external funding.

Authors’ contributions

PM conceived and designed the study, reviewed all the titles and abstracts, read the full text of selected articles, participated in the phase of discussion on results, drafted the initial manuscript, and approved the final manuscript as submitted. CGL conceived and designed the study, reviewed all the titles and abstracts and the full text of selected articles, participated in the phase of discussion on results, drafted the initial manuscript, and approved the final manuscript as submitted. SS was responsible for data management, participated in consensus meetings for addressing discordant evaluations between the two reviewers, critically reviewed the manuscript, and approved the final manuscript as submitted. DC participated in consensus meetings for addressing discordant evaluations between the two reviewers, critically reviewed the manuscript, and approved the final manuscript as submitted. FC developed the search strings for each single database, interrogated the repositories and cleaned from duplicates, participated in consensus meetings for addressing discordant evaluations between the two reviewers, critically reviewed the manuscript, and approved the final manuscript as submitted. JBW critically reviewed the design of the study, participated in the phase of discussion on results, critically reviewed the work, and approved the final manuscript as submitted. GL participated in consensus meetings for addressing discordant evaluations between the two reviewers, participated in the phase of discussion on results, critically reviewed the manuscript, and approved the final manuscript as submitted.

Pierpaolo Mincarone and Carlo Giacomo Leo contributed equally to this work.

Additional files

Additional file 1:

SEARCH STRATEGY – Medline via OVID. The document reports the search strategy used to retrieve abstracts from Medline/OVID.

Additional file 2: Figure S1.

PRISMA Flow Diagram. The figure reports a summary of screened articles.

Additional file 3: Table S1.

Universality Performance Indicators. The table describes the detailed evaluations of indicators ID1 and ID2.

Additional file 4: Table S2.

Timely detection Performance Indicators. The table describes the detailed evaluations of indicators ID3, ID4a, ID4b, ID4c.

Additional file 5: Table S3.

Overeferral Performance Indicators. The table describes the detailed evaluations of indicators ID5, ID6 and ID7.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Mincarone, P., Leo, C.G., Sabina, S. et al. Evaluating reporting and process quality of publications on UNHS: a systematic review of programmes. BMC Pediatr 15, 86 (2015).

Download citation


  • Neonatal screening
  • Process assessment (Health Care)
  • Quality indicators
  • Health care
  • Benchmarking
  • Checklist