File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)

Article: Who Benefits More From IBMS or Qigong? Clinical Data-Mining RCT Data

TitleWho Benefits More From IBMS or Qigong? Clinical Data-Mining RCT Data
Authors
Keywordsclinical data-mining
evidence-based practice
IBMS
Qigong
RCT
Issue Date1-Jun-2023
PublisherSAGE Publications
Citation
Research on Social Work Practice, 2023 How to Cite?
Abstract

Purpose: A recent three-arm randomized controlled trial (RCT) with depressed Hong Kong adults demonstrated the comparable effectiveness of integrative Body-Mind-Spirt (IBMS) and Qigong interventions in relieving sleep disturbance and depression, but not which is best for whom? Guided by concept and theory-based hypotheses, clinical data-mining (CDM) the RCT data answers the more clinically-relevant question: who responds best to which intervention?


Method: Through independent-sample t-tests, Mann-Whitney U tests, and chi-squared tests, the between-group differences in participants’ background and presenting characteristics and baseline outcomes on normally distributed continuous variables, non-normally distributed continuous variables, and categorical variables were examined.


Results: Results indicate that IBMS is more efficacious for older, more educated females, suffering from physical pain and illness; whereas younger, less educated males, not in full-time employment benefit more from Qigong.


Discussion: This productive joining together of RCT and CDM recommends itself to both past and future RCTs, further informing evidence-based practice decision-making.


Keywords

Clinical data-mining; RCT; Evidence-based practice; IBMS; Qigong


Persistent Identifierhttp://hdl.handle.net/10722/331459
ISSN
2023 Impact Factor: 1.7
2023 SCImago Journal Rankings: 0.665
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNg, SM-
dc.contributor.authorFung, MHY-
dc.contributor.authorYin, MXC-
dc.contributor.authorChan, CLW-
dc.contributor.authorEpstein, I-
dc.date.accessioned2023-09-21T06:55:55Z-
dc.date.available2023-09-21T06:55:55Z-
dc.date.issued2023-06-01-
dc.identifier.citationResearch on Social Work Practice, 2023-
dc.identifier.issn1049-7315-
dc.identifier.urihttp://hdl.handle.net/10722/331459-
dc.description.abstract<p>Purpose: A recent three-arm randomized controlled trial (RCT) with depressed Hong Kong adults demonstrated the comparable effectiveness of integrative Body-Mind-Spirt (IBMS) and Qigong interventions in relieving sleep disturbance and depression, but not which is best for whom? Guided by concept and theory-based hypotheses, clinical data-mining (CDM) the RCT data answers the more clinically-relevant question: who responds best to which intervention?</p><p><br></p><p>Method: Through independent-sample t-tests, Mann-Whitney U tests, and chi-squared tests, the between-group differences in participants’ background and presenting characteristics and baseline outcomes on normally distributed continuous variables, non-normally distributed continuous variables, and categorical variables were examined.</p><p><br></p><p>Results: Results indicate that IBMS is more efficacious for older, more educated females, suffering from physical pain and illness; whereas younger, less educated males, not in full-time employment benefit more from Qigong.</p><p><br></p><p>Discussion: This productive joining together of RCT and CDM recommends itself to both past and future RCTs, further informing evidence-based practice decision-making.</p><p><br></p><p><strong>Keywords</strong></p><p>Clinical data-mining; RCT; Evidence-based practice; IBMS; Qigong</p>-
dc.languageeng-
dc.publisherSAGE Publications-
dc.relation.ispartofResearch on Social Work Practice-
dc.subjectclinical data-mining-
dc.subjectevidence-based practice-
dc.subjectIBMS-
dc.subjectQigong-
dc.subjectRCT-
dc.titleWho Benefits More From IBMS or Qigong? Clinical Data-Mining RCT Data-
dc.typeArticle-
dc.identifier.doi10.1177/10497315231175368-
dc.identifier.scopuseid_2-s2.0-85163031908-
dc.identifier.eissn1552-7581-
dc.identifier.isiWOS:001084170000001-
dc.identifier.issnl1049-7315-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats