Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data.

BACKGROUND: Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the heterogeneity in how variables are measured across studies poses a challenge to this process. METHODS: This study explored the potential of using natural language processing (NLP) to harmonise different mental health questionnaires by matching individual questions based on their semantic content. Using the Sentence-BERT model, we calculated the semantic similarity (cosine index) between 741 pairs of questions from five questionnaires. Drawing on data from a representative UK sample of adults (N = 2,058), we calculated a Spearman rank correlation for each of the same pairs of items, and then estimated the correlation between the cosine values and Spearman coefficients. We also used network analysis to explore the model's ability to uncover structures within the data and metadata. RESULTS: We found a moderate overall correlation (r = .48, p < .001) between the two indices. In a holdout sample, the cosine scores predicted the real-world correlations with a small degree of error (MAE = 0.05, MedAE = 0.04, RMSE = 0.064) suggesting the utility of NLP in identifying similar items for cross-study data pooling. Our NLP model could detect more complex patterns in our data, however it required manual rules to decide which edges to include in the network. CONCLUSIONS: This research shows that it is possible to quantify the semantic similarity between pairs of questionnaire items from their meta-data, and these similarity indices correlate with how participants would answer the same two items. This highlights the potential of NLP to facilitate cross-study data pooling in mental health research. Nevertheless, researchers are cautioned to verify the psychometric equivalence of matched items.

Comparison of sociodemographic factors, healthcare utilisation by general practitioner visits, somatic hospital admissions, and medication use in Norway, Sweden, and Denmark.

PURPOSE: The healthcare systems in Scandinavia inform nationwide registers and the Scandinavian populations are increasingly combined in research. We aimed to compare Norway (NO), Sweden (SE), and Denmark (DK) regarding sociodemographic factors and healthcare. METHODS: In this cross-sectional study, we analyzed aggregated data from the nationwide Scandinavian registers. We calculated country-specific statistics on sociodemographic factors and healthcare use (general practitioner visits, admissions to somatic hospitals, and use of medicines). RESULTS: In 2018, population were 5295,619 (NO), 10,120,242 (SE), and 5781,190 (DK). The populations were comparable regarding sex, age, education, and income distribution. Overall, medication use was comparable, while there was more variation in hospital admissions and general practitioner visits. For example, per 1000 inhabitants, 703 (NO), 665 (SE), and 711 (DK) individuals redeemed a prescription, whereas there were 215 (NO), 134 (SE), and 228 (DK) somatic hospital admissions per 1000 inhabitants. General practitioner contacts per 1000 inhabitants were 7082 in DK and 5773 in NO (-data from SE). CONCLUSION: The Scandinavian countries are comparable regarding aggregate-level sociodemographic factors and medication use. Variations are noted in healthcare utilisation as measured by visits to general practitioners and admissions to hospitals. This variation should be considered when comparing data from the Scandinavian countries.

Efficacy of specific exercises in general population with non-specific low back pain: A systematic review and meta-analysis of randomized controlled trials.

OBJECTIVE: Localized exercises are employed to activate, train, or restore the function of particular muscles and they are usually considered as part of treating individuals suffering low back pain. So, this systematic review and meta-analysis aimed to assess the efficacy of specific exercises in general population with non-specific low back pain (LBP). METHODS: We conducted electronic searches in MEDLINE/PubMed, Scopus, Web of Science (WoS), and Google scholar from January 1990 to June 2021. Initially, 47,740 records were identified. Following the removal of duplicates, 32,138 records were left. After reviewing titles and abstracts, 262 papers were chosen for thorough assessment. Among these, 208 studies were excluded, resulting in 54 trials meeting the inclusion criteria for this study. Additionally, 46 of these trials were randomized controlled trials and were further evaluated for the meta-analysis. We included trials investigating the effectiveness of exercise therapy, including isometric activation of deep trunk muscles, strengthening exercises, stabilization exercises, stretching exercises, and proprioceptive neuromuscular facilitation exercises (PNF) in LBP patients. The primary outcome was pain intensity, measured using tools such as the visual analogue scale (VAS) and numeric pain rating scale (NPRS). The secondary outcome was disability, assessed through instruments such as the Roland Morris Disability Questionnaire (RMDQ) and Oswestry Disability Index (ODI). The quality of the eligible studies was assessed using the Verhagen tool, and the level of evidence was evaluated using the GRADE approach. RESULTS: Based on the Verhagen tool, 46 trials (85.2%) were categorized as having low methodological quality, while 8 studies (14.8%) were considered to have medium methodological quality. The meta-analysis indicated a small efficacy in favor of isometric activation of deep trunk muscles (-0.37, 95% CI: -0.88 to 0.13), a moderate efficacy in favor of stabilization exercises (-0.53, 95% CI: -1.13 to 0.08), and a large efficacy in favor of PNF exercises (-0.91, 95% CI: -1.62 to -0.2) for reducing pain intensity as assessed by VAS or NPRS tools. Moreover, the meta-analysis revealed a moderate efficacy for isometric activation of deep trunk muscles (-0.61, CI: -1.02 to -0.19), and a large efficacy for PNF exercises (-1.26, 95% CI: -1.81 to -0.72) in improving disability, assessed using RMDQ or ODI questionnaires. The level of certainty in the evidence, as determined by the GRADE approach, was very low to low. CONCLUSION: These findings emphasize the importance of incorporating localized therapeutic exercises as a fundamental aspect of managing non-specific LBP. Clinicians should consider utilizing localized therapeutic exercise tailored to individual patient needs. Furthermore, further research investigating optimal exercise therapy, optimal dose of the exercises, durations, and long-term adherence is warranted to enhance the precision and efficacy of exercise-based interventions for non-specific LBP.

Cross-vendor multiparametric mapping of the human brain using 3D-QALAS: A multicenter and multivendor study.

PURPOSE: To evaluate a vendor-agnostic multiparametric mapping scheme based on 3D quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS) for whole-brain T1, T2, and proton density (PD) mapping. METHODS: This prospective, multi-institutional study was conducted between September 2021 and February 2022 using five different 3T systems from four prominent MRI vendors. The accuracy of this technique was evaluated using a standardized MRI system phantom. Intra-scanner repeatability and inter-vendor reproducibility of T1, T2, and PD values were evaluated in 10 healthy volunteers (6 men; mean age ± SD, 28.0 ± 5.6 y) who underwent scan-rescan sessions on each scanner (total scans = 100). To evaluate the feasibility of 3D-QALAS, nine patients with multiple sclerosis (nine women; mean age ± SD, 48.2 ± 11.5 y) underwent imaging examination on two 3T MRI systems from different manufacturers. RESULTS: Quantitative maps obtained with 3D-QALAS showed high linearity (R2 = 0.998 and 0.998 for T1 and T2, respectively) with respect to reference measurements. The mean intra-scanner coefficients of variation for each scanner and structure ranged from 0.4% to 2.6%. The mean structure-wise test-retest repeatabilities were 1.6%, 1.1%, and 0.7% for T1, T2, and PD, respectively. Overall, high inter-vendor reproducibility was observed for all parameter maps and all structure measurements, including white matter lesions in patients with multiple sclerosis. CONCLUSION: The vendor-agnostic multiparametric mapping technique 3D-QALAS provided reproducible measurements of T1, T2, and PD for human tissues within a typical physiological range using 3T scanners from four different MRI manufacturers.