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International Journal of Nursing Sciences logoLink to International Journal of Nursing Sciences
letter
. 2021 Mar 17;8(2):246–247. doi: 10.1016/j.ijnss.2021.03.005

Supplement to the published paper “Theory-guided interventions for Chinese patients to adapt to heart failure: A quasi-experimental study”

Xiyi Wang 1,2, Leiwen Tang 3, Doris Howell 4, Qi Zhang 5, Ruolin Qiu 5, Hui Zhang 5, Zhihong Ye 5,
PMCID: PMC8105543  PMID: 33997143

We appreciate the question raised in a discussion with a reader and the editor about an instrument for outcome measure of the quality of life among people with chronic heart failure [1]. We recognized that we should have described more details about how to convert the score of the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Lack of scoring details might lead to some confusion to understand the results of this study. We thank the International Journal of Nursing Sciences for the opportunity to provide further information to clarify the process of data analysis and research findings.

The MLHFQ is a well-developed scale for investigating patients’ everyday living problems relevant to heart failure and their impacts on physical activity, social interaction, sexual activity, and emotions. As recommended, the total score of MLHFQ can be calculated by summating the response to all questions, and score for each domain can be done similarly (see Table 1). A higher score means a worsening quality of life.

Table 1.

MLHFQ scoring and conversion used in this study.

Domains Items MLHFQ score (raw score)
Converted score
Calculation Score range Calculation Score range
Physical dimension 8 Q2+Q3+Q4+Q5+Q6+Q7+Q12+Q13 0–40 (40−raw score)÷40×100 0–100
Emotional dimension 5 Q17+Q18+Q19+Q20+Q21 0–25 (25−raw score)÷25×100 0–100
Others 8 Q1+Q8+Q9+Q10+Q11+Q14+Q15+Q16 0–40 (40−raw score)÷40×100 0–100
Total MLHFQ 21 Q1+ Q2+……‥+Q21 0–105 (105−raw score)÷105×100 0–100

We obtained permission to use the Chinese version of MLHFQ in our study from the University of Minnesota officially and Dr. Zhu, who was responsible for translation and validation of the Chinese version. We mentioned the scoring process in the Data Analysis Section, “As per the scoring manual, raw scores from the SCHFI were tabulated into standardized 100-point scales, as well as the MLHFQ.” (P395, [1]) Due to the word limitation, we did not present the calculating details and relevant scoring rules. We appreciate Dr. Zhu [[2], [3], [4]] for providing a scoring manual of the Chinese version scale. As shown in Table 1, the converted score was calculated by (Max raw score−measured score)/Max raw score × 100. We used converted scores to present our findings considering the cultural adaptation. A higher score means a better quality of life. And in this study, the score of MLHFQ was used to assess self-concept adaptation.

Raw scores and converted scores of the MLHFQ are listed in Table 2 for comparison. Patients in the intervention group got significant reductions in all the outcomes measured by the MLHFQ. According to the rule that a lower raw score predicting a better quality of life, our theory-guided interventions are beneficial to individuals’ self-concept adaptation. The explanation of the efficiency of our study is as same as that we presented in the published article.

Table 2.

Self-concept adaptation compared between the intervention and control groups at baseline and the sixth month (Mean ± SD).

Outcomes Intervention group (n = 43)
Control group (n = 48)
t1 P1 t2 P2 t3 P3
Baseline 6th month Baseline 6th month
Total MLHFQ scores Raw score 55.53 ± 24.14 30.56 ± 23.57 56.90 ± 11.62 47.48 ± 18.95 −4.956 <0.001 −3.367 0.002 −3.792 <0.001
Converted score 47.11 ± 22.99 70.90 ± 22.45 45.81 ± 11.07 54.78 ± 18.04 4.956 <0.001 3.367 0.002 3.792 <0.001
MLHFQ-physical dimension Raw score 22.60 ± 10.24 10.16 ± 11.12 23.06 ± 5.69 17.52 ± 7.65 −5.852 <0.001 −4.874 <0.001 −3.637 0.001
Converted score 43.49 ± 25.59 74.59 ± 27.80 42.34 ± 14.23 56.20 ± 19.12 5.852 <0.001 4.874 <0.001 3.637 0.001
MLHFQ-emotional dimension Raw score 10.72 ± 6.97 4.65 ± 4.61 8.71 ± 3.25 9.40 ± 6.92 −4.841 <0.001 0.641 0.542 −3.885 <0.001
Converted score 57.12 ± 27.87 81.40 ± 18.43 65.17 ± 12.99 62.42 ± 27.69 4.841 <0.001 −0.641 0.542 3.885 <0.001

Note: MLHFQ = Minnesota Living with Heart Failure Questionnaire.

t1: Paired-sample t-test of the intervention group; t2: Paired-sample t-test of the control group; t3: Independent sample t-test between two groups at 6th month after discharge.

We appreciate the keen reader for raising the question and editor for providing an opportunity to discuss it. It is important to support patients to adapt to heart failure. We will continue to improve the interventions and measures in our future studies.

Funding

This work was supported by Health Commission of Zhejiang Province (grant number WKJ-ZJ-1925 and 2019ZD034).

Declaration of competing interest

None.

Acknowledgement

The authors thank the keen reader and editor of International Journal of Nursing Sciences.

Footnotes

Peer review under responsibility of Chinese Nursing Association.

References

  • 1.Wang X., Tang L., Howell D., Zhang Q., Qiu R., Zhang H. Theory-guided interventions for Chinese patients to adapt to heart failure: a quasi-experimental study. Int J Nurs Sci. 2020;7(4):391–400. doi: 10.1016/j.ijnss.2020.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Zhu Y. Beijing University of Chinese Medicine; 2003. Psychometric testing of the Chinese version of the Minnesota living with heart failure Questionnaire (MLHFQ) (master’s thesis) [In Chinese] [Google Scholar]
  • 3.Zhu Y., Du J., Lin L., Zheqi X., Chen K., Zheng J. The translating, miring and testing of the Minnesota living with heart failure questionnaire of Chinese version. Chin J Behav Med & Brain Sci. 2010;19(2):178–181. [In Chinese] [Google Scholar]
  • 4.Zhu Y., Zheqi X., Zheng J., Huo Y. Evaluation on reliability and validity of heart failure QOL(LHFQ)Chinese version. Chin J Behavioral Med Sci. 2004;13(3):337–339. [In Chinese] [Google Scholar]

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