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Construct validity and impact of mode of administration of the PedsQL™ among a pediatric injury population.

Kruse S, Schneeberg A, Brussoni M - Health Qual Life Outcomes (2014)

Bottom Line: Pearson's correlations were highly significant across three modalities of survey administration: paper and pencil, computer and telephone administration (range: .92 to .97, p < .001).Bland-Altman plots showed strong consistency.This is important as depending on the setting, clinical or research, different modalities of completing this instrument may be more appropriate.

View Article: PubMed Central - PubMed

Affiliation: British Columbia Injury Research & Prevention Unit, F508 - 4480 Oak Street, Vancouver, BC, V6H 3V4, Canada. skruse@cw.bc.ca.

ABSTRACT

Background: The purpose of this study was to determine the construct validity of the PedsQL™ health related quality of life (HRQoL) instrument for use among injured children and to examine the impact of using different modes of administration, including paper and pencil, online and telephone.

Methods: Two hundred thirty-three participants (aged 0 - 16) were recruited from hospital wards and the emergency department of a pediatric hospital in a large urban center in British Columbia, Canada. Data used to evaluate the construct validity of the PedsQL™ were collected from participants at the time of seeking injury treatment (baseline) to capture a retrospective measure of pre injury health, and one month post injury. Data used to compare different modes of administration (n = 44) were collected at baseline. To assess construct validity repeated measures analysis of variance (rANOVA) was used to determine whether the PedsQL™ tool was able to discriminate between patients pre and post injury while investigating possible interaction by category of length of stay in hospital. The impact of different modalities of administering the PedsQL™ on item responses was investigated using Bland-Altman plots.

Results: rANOVA showed significant differences in PedsQL™ total score between baseline and one month post injury (p < .001), and differences in mean total score at one month post injury by category of injury severity (p < .001). There was also significant interaction by category of injury severity for the change in PedsQL™ total score from baseline to one month (p < .001). Pearson's correlations were highly significant across three modalities of survey administration: paper and pencil, computer and telephone administration (range: .92 to .97, p < .001). Bland-Altman plots showed strong consistency.

Conclusion: The PedsQL™ instrument is able to discriminate between pre and post injury HRQoL, as well as HRQoL post injury for injuries of varying severity. These findings are an indication that this instrument has good construct validity for the purpose of evaluating HRQoL of injured children. Data collected via paper-pencil, online and telephone administration were highly consistent. This is important as depending on the setting, clinical or research, different modalities of completing this instrument may be more appropriate.

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Estimated Marginal Means of PedsQL scores at baseline and 1 month post injury.
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Fig1: Estimated Marginal Means of PedsQL scores at baseline and 1 month post injury.

Mentions: HRQoL scores from each category of length of stay were not significantly different at baseline, indicating comparable pre injury health status. The difference in total PedsQL™ mean scores at one month post injury relative to baseline was statistically significantly greater than zero based on 95% CI for all three categories of length of stay in hospital (Table 2), although only the two categories who had been hospitalized had clinically significant differences. The results of the rANOVA on total PedsQL scores showed that overall pre and post scores were statistically significantly different (F =21.51, p < .001). There were also significant differences in total PedsQL scores between categories of length of stay in hospital at one month (F =113.05, p < .001). Moreover, the relationship between pre and post injury scores was significantly different between categories of length of stay (F =31.13, p < .001), indicating that relationship between scores pre and post injury was modified by categories of length of stay. As expected, the greatest drop in HRQoL score pre and post injury was observed among children who spent four days or more in hospital: 26.52 (95% CI: 22.45, 30.59). In Figure 1 the relationship between pre injury and post injury HRQoL by injury severity is illustrated and the estimated marginal PedsQL means, both pre and post injury, are modeled.Table 2


Construct validity and impact of mode of administration of the PedsQL™ among a pediatric injury population.

Kruse S, Schneeberg A, Brussoni M - Health Qual Life Outcomes (2014)

Estimated Marginal Means of PedsQL scores at baseline and 1 month post injury.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4255920&req=5

Fig1: Estimated Marginal Means of PedsQL scores at baseline and 1 month post injury.
Mentions: HRQoL scores from each category of length of stay were not significantly different at baseline, indicating comparable pre injury health status. The difference in total PedsQL™ mean scores at one month post injury relative to baseline was statistically significantly greater than zero based on 95% CI for all three categories of length of stay in hospital (Table 2), although only the two categories who had been hospitalized had clinically significant differences. The results of the rANOVA on total PedsQL scores showed that overall pre and post scores were statistically significantly different (F =21.51, p < .001). There were also significant differences in total PedsQL scores between categories of length of stay in hospital at one month (F =113.05, p < .001). Moreover, the relationship between pre and post injury scores was significantly different between categories of length of stay (F =31.13, p < .001), indicating that relationship between scores pre and post injury was modified by categories of length of stay. As expected, the greatest drop in HRQoL score pre and post injury was observed among children who spent four days or more in hospital: 26.52 (95% CI: 22.45, 30.59). In Figure 1 the relationship between pre injury and post injury HRQoL by injury severity is illustrated and the estimated marginal PedsQL means, both pre and post injury, are modeled.Table 2

Bottom Line: Pearson's correlations were highly significant across three modalities of survey administration: paper and pencil, computer and telephone administration (range: .92 to .97, p < .001).Bland-Altman plots showed strong consistency.This is important as depending on the setting, clinical or research, different modalities of completing this instrument may be more appropriate.

View Article: PubMed Central - PubMed

Affiliation: British Columbia Injury Research & Prevention Unit, F508 - 4480 Oak Street, Vancouver, BC, V6H 3V4, Canada. skruse@cw.bc.ca.

ABSTRACT

Background: The purpose of this study was to determine the construct validity of the PedsQL™ health related quality of life (HRQoL) instrument for use among injured children and to examine the impact of using different modes of administration, including paper and pencil, online and telephone.

Methods: Two hundred thirty-three participants (aged 0 - 16) were recruited from hospital wards and the emergency department of a pediatric hospital in a large urban center in British Columbia, Canada. Data used to evaluate the construct validity of the PedsQL™ were collected from participants at the time of seeking injury treatment (baseline) to capture a retrospective measure of pre injury health, and one month post injury. Data used to compare different modes of administration (n = 44) were collected at baseline. To assess construct validity repeated measures analysis of variance (rANOVA) was used to determine whether the PedsQL™ tool was able to discriminate between patients pre and post injury while investigating possible interaction by category of length of stay in hospital. The impact of different modalities of administering the PedsQL™ on item responses was investigated using Bland-Altman plots.

Results: rANOVA showed significant differences in PedsQL™ total score between baseline and one month post injury (p < .001), and differences in mean total score at one month post injury by category of injury severity (p < .001). There was also significant interaction by category of injury severity for the change in PedsQL™ total score from baseline to one month (p < .001). Pearson's correlations were highly significant across three modalities of survey administration: paper and pencil, computer and telephone administration (range: .92 to .97, p < .001). Bland-Altman plots showed strong consistency.

Conclusion: The PedsQL™ instrument is able to discriminate between pre and post injury HRQoL, as well as HRQoL post injury for injuries of varying severity. These findings are an indication that this instrument has good construct validity for the purpose of evaluating HRQoL of injured children. Data collected via paper-pencil, online and telephone administration were highly consistent. This is important as depending on the setting, clinical or research, different modalities of completing this instrument may be more appropriate.

Show MeSH
Related in: MedlinePlus