Health-related quality of life (HRQoL) associated with echinococcosis patients in Tibetan communities in Shiqu County, China: a case–control study

Reducing research wastage by starting off on the right foot: optimally framing the research question

PURPOSE

Strongly framed research questions are clear as to the population (P), the exposures or interventions (E/I), comparison groups (C), outcomes (O), time when relevant (T), and what the investigator wants to know. A solid framework sets up the measurement model, analysis, and anticipated results. The purpose of this study was to estimate the extent to which research questions in journals that focused on patient-reported outcome measures (PROM) and quality of life (QOL) are clear.

METHODS

All 440 research articles published in four PROM journals in 2020. excluding reviews, psychometric, and qualitative papers, were reviewed. Research questions were classified as: (i) adequately framed (ii) poorly framed; or (iii) unframed based on clarity criteria. Examples from each journal were presented and reframed to match results in the article.

RESULTS

Of 440 articles, 195 (44.3%) were classified as adequately framed; 230 (52.2%) as poorly framed; and 15 (3.4%) as unframed. There was heterogeneity across journals (Chi-square: 20.8; 6 df; p = 0.002). Only 29% were framed according to what the investigators wanted to know; 72% were framed like a "to do" list; and 6% were framed as a research agenda.

CONCLUSION

Almost half of the questions were poorly framed or unframed a practice that could contribute to research wastage. Even "adequately framed" questions rarely stated what they wanted to know a priori, increasing the risk of biased reporting. Researchers, reviewers, and editors should encourage the use established frameworks for research questions.

Risk factors associated with health-related quality of life in pediatric asthma

To evaluate the quality of life (QOL) of children with asthma and analyze the related factors. A total of 360 children diagnosed with asthma were enrolled. We conducted the pediatric asthma quality of life questionnaire (PAQLQ). The differences in clinical characteristics between the two groups were compared. Clinical characteristics were compared between high and low QOL. More female was observed in low QOL group (p = 0.013). Patients with higher income (p = 0.003) were shown with higher QOL. Female patients presented significantly lower values for activity limitation (p = 0.016) and emotional function (p = 0.016) as compared to male patients. For patients who have low income, the QOL scores for dimensions of activity limitation was significantly worse than those have higher income (p = 0.001). Univariable results showed that gender (p = 0.013) and income (p = 0.001) were factors associated with QOL in asthma children. However, multivariate analysis suggested that only gender (OR = 0.558, p = 0.008) and income (OR = 1.762, p < 0.001) were the independent factors that affected the QOL levels. In this study, we found that the QOL dimensions of pediatric asthma differed between various subpopulations. For patients with risk factors of poor QOL, target intervention is advised in order to increase QOL.