Evidence map›Paper›PMID 20920284›Full record

ArticleHealth and quality of life outcomes2010

Using Chinese version of MYMOP in Chinese medicine evaluation: validity, responsiveness and minimally important change.

Vincent C H Chung, Vivian C W Wong, Chun Hong Lau, Henny Hui, Tat Hing Lam, Lin Xiao Zhong, Samuel Y S Wong, Sian M Griffiths

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Article in Health and quality of life outcomes, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Validity and reliability of the measure yourself medical outcome profile 2 (MYMOP2) questionnaire among Turkish patients having anorectal disorders.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2019
    Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Vincent C H ChungSchool of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong SAR, China. vchung@cuhk.edu.hk
Vivian C W Wong
Chun Hong Lau
Henny Hui
Tat Hing Lam
Lin Xiao Zhong
Samuel Y S Wong
Sian M Griffiths

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasure Yourself Medical Outcome Profile (MYMOP) is a patient generated outcome instrument applicable in the evaluation of both allopathic and complementary medicine treatment. This study aims to adapt MYMOP into Chinese, and to assess its validity, responsiveness and minimally important change values in a sample of patients using Chinese medicine (CM) services.

methodsA Chinese version of MYMOP (CMYMOP) is developed by forward-backward-forward translation strategy, expert panel assessment and pilot testing amongst patients. 272 patients aged 18 or above with subjective symptoms in the past 2 weeks were recruited at a CM clinic, and were invited to complete a set of questionnaire containing CMYMOP and SF-36. Follow ups were performed at 2nd and 4th week after consultation, using the same set of questionnaire plus a global rating of change question. Criterion validity of CMYMOP was assessed by its correlation with SF-36 at baseline, and responsiveness was evaluated by calculating the Cohen effect size (ES) of change at two follow ups. Minimally important difference (MID) values were estimated via anchor based method, while minimally detectable difference (MDC) figures were calculated by distribution based method.

resultsCriterion validity of CMYMOP was demonstrated by negative correlation between CMYMOP Profile scores and all SF-36 domain and summary scores at baseline. For responsiveness between baseline and 4th week follow up, ES of CMYMOP Symptom 1, Activity and Profile reached the moderate change threshold (ES>0.5), while Symptom 2 and Wellbeing reached the weak change threshold (ES>0.2). None of the SF-36 scores reached the moderate change threshold, implying CMYMOP's stronger responsiveness in CM setting. At 2nd week follow up, MID values for Symptom 1, Symptom 2, Wellbeing and Profile items were 0.894, 0.580, 0.263 and 0.516 respectively. For Activity item, MDC figure of 0.808 was adopted to estimate MID.

conclusionsThe findings support the validity and responsiveness of CMYMOP for capturing patient centred clinical changes within 2 weeks in a CM clinical setting. Further researches are warranted (1) to estimate Activity item MID, (2) to assess the test-retest reliability of CMYMOP, and (3) to perform further MID evaluation using multiple, item specific anchor questions.

Indexed as

Medicine, Chinese TraditionalOutcome Assessment, Health CareSickness Impact ProfileAdultAgedChinaFemaleFollow-Up StudiesHealth ServicesHumansLanguageMaleMiddle AgedPsychometricsReproducibility of ResultsSocioeconomic Factors

Identifiers

PMID20920284
PMCPMC2959095

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.