Validation of the Hospital Asthma Severity Score (HASS) (HASS)

March 1, 2021 updated by: Leah Abecassis, Boston Children's Hospital

Validation Of The Hospital Asthma Severity Score (HASS) In Children Ages 2-18 Years Old

The purpose of this research will be to evaluate the reliability and validity of the HASS tool in a cohort of patients' ages 7 to18 years old against the gold standard of spirometry, and in ages 2 to 6 against spirometry, if possible, and the most similar validated tool, the PRAM.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Children aged 7-18 years will have a HASS score obtained by two providers. After scoring is complete, a pulmonary technician will perform the spirometry test.

Children aged 2 to 6 years old will concurrently (but separately) have their asthma severity graded by 2 individual measurers using the HASS tool and the PRAM tool. If consented to perform spirometry, this test will be performed after the tool(s) scores have been obtained.

The spirometry tests will be interpreted by a board-certified pediatric pulmonologist.

Descriptive statistics will be used for preliminary analysis to describe the sample characteristics, outliers, and representativeness of the data.

Primary Aim 1. To describe the inter-rater reliability for the HASS as scored by 2 individual health care providers Data Analysis 1. Use of an overall percentage of agreement, weighted and unweighted kappa and the intraclass correlation coefficient will show the inter-rater reliability of the HASS tool. For each measure, percent agreement between raters and Cohen's kappa statistic (rater agreement adjusted for chance agreement) will be reported.

Primary Aim 2. To evaluate construct validity of the HASS tool in a cohort of patients' ages 7 to18 years old as compared to forced expiratory volume through spirometry

Data Analysis 2. Treating the outcomes as continuous, a correlation coefficient will be computed for HASS and %Forced Expiratory Volume 1. Sub-analyses will also be performed by age group and by %Forced Expiratory Volume1 severity level to see whether the correlation of HASS and %Forced Expiratory Volume1 is consistent across age and asthma severity strata. Treating the outcomes as categorical, if the HASS and %Forced Expiratory Volume1 are each categorized into three levels (mild, moderate, severe), then the investigator could classify each of the nine cells of a 3 by 3 table (HASS X %Forced Expiratory Volume1) as either:

  1. concordant (three cells; complete agreement: both tests say 'Severe', for instance),
  2. discordant (four cells; e.g. one test says Moderate while the other say Mild) and
  3. grossly discordant (two cells; one test says Severe when the other says Mild). For the Receiver Operating Curve analysis, the Forced Expiratory Volume will be dichotomized as Severe (%Forced Expiratory Volume1<60% predicted) versus Less Severe (%Forced Expiratory Volume1≥60% predicted). In analyzing these data, the correlation (continuous), 3 by 3 table (categorical), and Receiver Operating Curve (dichotomous %Forced Expiratory Volume1) treatments will be presented, with the continuous result considered primary. A high level of agreement is expected between the HASS and the spirometry severity score to make the case that the HASS can be used in place of the %Forced Expiratory Volume1 test.

Secondary Aim 3. To evaluate construct validity of the HASS tool in a cohort of patients' ages 2 to 6 years old as compared to forced expiratory volume through spirometry.

Data Analysis 3. Treating the outcomes as continuous, a correlation coefficient will be computed for HASS and %Forced Expiratory Volume1. Treating the outcomes as categorical, if the HASS and %Forced Expiratory Volume1 are each categorized into three levels (mild, moderate, severe), then the investigator could classify each of the nine cells of a 3 by 3 table (HASS X %Forced Expiratory Volume1) as concordant, discordant or grossly discordant (as described in Data Analysis 2). An adequate level of observed agreement would be 80% of observations in agreement cells, 18% discordant, and 2% in grossly discordant cells. In analyzing these data, both the correlation (continuous) and 3 by 3 table (categorical) treatments will be presented, with the continuous result considered primary. A high level of agreement is expected between the HASS and the spirometry severity score to make the case that the HASS can be used in place of the spirometry.

Secondary Aim 4. To evaluate construct validity of the HASS tool in a cohort of patients' ages 2 to 6 years old as compared to the Preschool Respiratory Assessment Measure (PRAM) Data Analysis 4. Treating the outcomes as continuous, a correlation coefficient will be computed for HASS and PRAM. If the HASS and PRAM are each categorized into three levels (mild, moderate, severe), then the investigator could classify each of the nine cells of a 3 by 3 table (HASS X PRAM) as either concordant, discordant, or grossly discordant (as described in Data Analysis 2). An adequate level of observed agreement would be 80% of observations in agreement cells, 18% discordant, and 2% in grossly discordant cells.

Study Type

Observational

Enrollment (Actual)

58

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Massachusetts
      • Boston, Massachusetts, United States, 02115
        • Boston Childrens Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

2 years to 18 years (Child, Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Children with asthma exacerbation in the emergency room, inpatient medical units, and medicine intensive care unit

Description

Inclusion Criteria:

  • asthma exacerbation

Exclusion Criteria:

  • continuous albuterol and/or
  • pneumonia, croup, varicella, cystic fibrosis, broncho-pulmonary dysplasia, cardiac or kidney disease AND
  • previously approached for participation in the study

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Pediatric patients with Asthma
165 patients aged 7 to 18 years, and 30 patients aged 2 to 6 years

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Inter-rater Reliability for the Hospital Asthma Severity Score (HASS)
Time Frame: 4 years and 9 months
The inter-rater reliability (the percent of agreement among raters) for the HASS as scored by 2 individual health care providers. Inter-rater agreement refers to the agreement between the single clinician who was Rater 1 and the second clinician rating the patient (Rater 2), regardless of which clinician served as Rater 2
4 years and 9 months
Inter-rater Reliability for the Pediatric Respiratory Assessment Measure (PRAM)
Time Frame: 4 years and 9 months
The inter-rater reliability for the PRAM as scored by 2 individual health care providers. Inter-rater agreement refers to the agreement between the single clinician who was Rater 1 and the second clinician rating the patient (Rater 2), regardless of which clinician served as Rater 2.
4 years and 9 months
Intra-rater Reliability Between HASS and PRAM
Time Frame: 4 years and 9 months
The intra-rater reliability between HASS and PRAM as scored by 2 individual health care providers. Intra-rater agreement refers to the with-in rater agreement between the PRAM and HASS categorical ratings. This was calculated separately for Rater 1 and Rater 2. The intra-rater agreement for Rater 2 was calculated by pooling the data from the Rater 2 clinicians.
4 years and 9 months
Correlation Between the HASS and Forced Expiratory Volume in 1 Second (FEV1)
Time Frame: 4 years, 9 months
The correlation coefficient between the HASS tool and FEV1 measurements.
4 years, 9 months
Correlation Between the PRAM and FEV1
Time Frame: 4 years 9 months
The correlation between the PRAM and FEV1
4 years 9 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Leah Abecassis, MSN, Boston Children's Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 29, 2016

Primary Completion (Actual)

January 1, 2020

Study Completion (Actual)

January 1, 2020

Study Registration Dates

First Submitted

May 6, 2016

First Submitted That Met QC Criteria

May 20, 2016

First Posted (Estimate)

May 25, 2016

Study Record Updates

Last Update Posted (Actual)

March 23, 2021

Last Update Submitted That Met QC Criteria

March 1, 2021

Last Verified

March 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

To ensure anonymity and confidentiality of participants, the investigators will not be sharing individual data. A summary report will be provided to participants upon request.

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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