Mapping analyses to estimate health utilities based on responses to the OM8-30 otitis media questionnaire

Dakin, Helen; Petrou, Stavros; Haggard, Mark; Benge, Sarah; Williamson, Ian

doi:10.1007/s11136-009-9558-z

Cited by 43 publications

(54 citation statements)

References 41 publications

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“…Published data on ear-related quality of life from other trials of otitis media with effusion are currently very sparse. 9,15,26 …”

Section: Discussionmentioning

confidence: 99%

“…7,9,15,36 In addition, parents completed weekly diaries to record symptoms, adverse events and compliance. Days during which parents reported their child had hearing loss, earache, days off school, days requiring pain relief and sleep disturbance were summarized as days with any problem.…”

Section: Study Outcomesmentioning

confidence: 99%

“…Effects were consistent across individual OMQ-14 items (Appendix 3, available at www.cmaj.ca/lookup/ suppl/doi:10.1503/cmaj.141608/-/DC1). Overall, children in the autoinflation arm had fewer days with any symptom or problem than children in the control arm at 1 month (median [interquartile range] 8 [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] v. 22 d; OR 0.58, 95% CI 0.37 to 0.90) ( Table 3).…”

Section: Subgroup Analysesmentioning

confidence: 99%

“…12,13 Research suggests some children seen in primary care are as badly affected as those seen in hospital. 7,9,14,15 In the United States, there were 2.2 million diagnosed episodes in 2004, costing an estimated $4.0 billion. 16 Rates of ventilation tube surgery show variability between countries, [17][18][19] with a declining trend in the UK.…”

mentioning

confidence: 99%

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Effect of nasal balloon autoinflation in children with otitis media with effusion in primary care: an open randomized controlled trial

Williamson

Vennik

Harnden

et al. 2015

CMAJ

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“…Published data on ear-related quality of life from other trials of otitis media with effusion are currently very sparse. 9,15,26 …”

Section: Discussionmentioning

confidence: 99%

Section: Study Outcomesmentioning

confidence: 99%

Section: Subgroup Analysesmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Effect of nasal balloon autoinflation in children with otitis media with effusion in primary care: an open randomized controlled trial

Williamson

Vennik

Harnden

et al. 2015

CMAJ

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“…0.02621 9 PHYS ? 0.02349 9 RHD-0.00346 9 HL-0.00059 9 AGE-0.01363 9 FEMALE), where: age is in months; HL is in dB; DEV, PHYS and RHD comprise OM8-30 domain/facet scores calculated using the standard scoring based on the TARGET and Eurotitis datasets; and FEMALE is a dummy variable equal to 1 if the patient is female and 0 if they are male'' [35].…”

Section: Item 17: Model Coefficientsmentioning

confidence: 99%

The MAPS Reporting Statement for Studies Mapping onto Generic Preference-Based Outcome Measures: Explanation and Elaboration

et al. 2015

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Background The process of ''mapping'' is increasingly being used to predict health utilities, for application within health economic evaluations, using data on other indicators or measures of health. Guidance for the reporting of mapping studies is currently lacking. Objective The overall objective of this research was to develop a checklist of essential items, which authors should consider when reporting mapping studies. The MAPS (MApping onto Preference-based measures reporting Standards) statement is a checklist, which aims to promote complete and transparent reporting by researchers. This paper provides a detailed explanation and elaboration of the items contained within the MAPS statement. Methods In the absence of previously published reporting checklists or reporting guidance documents, a de novo list of reporting items and accompanying explanations was created. A two-round, modified Delphi survey, with representatives from academia, consultancy, health technology assessment agencies and the biomedical journal editorial community, was used to identify a list of essential reporting items from this larger list. Results From the initial de novo list of 29 candidate items, a set of 23 essential reporting items was developed. The items are presented numerically and categorised within six sections, namely, (i) title and abstract, (ii) introduction, (iii) methods, (iv) results, (v) discussion and (vi) other. For each item, we summarise the recommendation, illustrate it using an exemplar of good reporting practice identified from the published literature, and provide a detailed explanation to accompany the recommendation. Conclusions It is anticipated that the MAPS statement will promote clarity, transparency and completeness of reporting of mapping studies. It is targeted at researchers developing mapping algorithms, peer reviewers and editors involved in the manuscript review process for mapping studies, and the funders of the research. The MAPS working group plans to assess the need for an update of the reporting checklist in 5 years' time. Each of the 23 items contained within the MAPS reporting statement is illustrated with an exemplar of good reporting practice identified from the published literature. In addition, a detailed explanation and elaboration is provided for each of the 23 reporting items.It is anticipated that the MAPS reporting statement will promote clarity, transparency and completeness of reporting of mapping studies.

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Predicting Health Utilities for Children With Autism Spectrum Disorders

et al. 2014

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Scientific Abstract Comparative effectiveness of interventions for children with ASDs that incorporates costs is lacking due to the scarcity of information on health utility scores or preference-weighted outcomes typically used for calculating quality-adjusted life years (QALYs). This study created algorithms for mapping clinical and behavioral measures for children with ASDs to health utility scores. The algorithms could be useful for estimating the value of different interventions and treatments used in the care of children with ASDs. Participants were recruited from two Autism Treatment Network sites. Health utility data based on the HUI3 for the child was obtained from the primary caregiver (proxy-reported) through a survey (N=224). During the initial clinic visit, proxy-reported measures of the Child Behavior Checklist, Vineland II Adaptive Behavior Scales, and the PedsQL 4.0 (start measures) were obtained and then merged with the survey data. Nine mapping algorithms were developed using the HUI3 scores as dependent variables in ordinary least squares regressions along with the start measures, the Autism Diagnostic Observation Schedule to measure severity, child age, and cognitive ability as independent predictors. In-sample cross-validation was conducted to evaluate predictive accuracy. Multiple imputation techniques were used for missing data. The average age for children with ASDs in this study was 8.4 (SD=3.5) years. Almost half of the children (47%) had cognitive impairment (IQ<=70). Total scores for all of the outcome measures were significantly associated with the HUI3 score. The algorithms can be applied to clinical studies containing start measures of children with ASDs to predict QALYs gained from interventions.

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Mapping analyses to estimate health utilities based on responses to the OM8-30 otitis media questionnaire

Abstract: Regression equations predicting HUI3 and HUI2 utilities based on OM8-30 facet and domain scores have been developed. These provide an empirical basis for estimating quality-adjusted life years (QALYs) for interventions in children with OME.

Cited by 43 publications

References 41 publications

Effect of nasal balloon autoinflation in children with otitis media with effusion in primary care: an open randomized controlled trial

Effect of nasal balloon autoinflation in children with otitis media with effusion in primary care: an open randomized controlled trial

The MAPS Reporting Statement for Studies Mapping onto Generic Preference-Based Outcome Measures: Explanation and Elaboration

Predicting Health Utilities for Children With Autism Spectrum Disorders

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