Minimal and robust clinically important difference of three fatigue measures in chronic stroke survivors

BACKGROUND

Fatigue assessment scale (FAS), fatigue subscale of the Profile of Mood States (POMS-F), and vitality subscale of the Short Form Health Survey (SF-36-VT) are among the first and most widely used adapted tools for assessing post-stroke fatigue.

OBJECTIVE

To identify the minimal clinically important difference (MCID) and robust clinically important difference (RCID) of FAS, POMS-F, and SF-36-VT in stroke survivors.

METHODS

Participants completed the FAS, POMS-F, and SF-36-VT before and after receiving 6-week intervention including graded activity training and pacing therapy. MCID was calculated using the distribution-based and anchor-based methods. Further, accuracy, sensitivity, and specificity of calculated values using the distribution-based method were used for determining RCID.

RESULT

A total of 124 stroke survivors participated in this study. MCID for FAS, POMS-F, and SF-36-VT was found to be 4.86, 3.32, and -10.10 (using score change) and 3.5, 2.5, and -10.5 (using ROC analysis), respectively. Using the distribution-based method, the MCID value obtained for the FAS was in the range of 3.16 to 8.76, for the POMS-F was in the range of 1.49 to 5.63, and for the SF-36-VT was in the range of -15.43 to -5.58. ½SD for FAS, ½ SD and 1.96 SEM for POMS-F, and 1.96 SEM and SD for SF-36-VT showed the best discriminative ability to use as the RCID.

CONCLUSIONS

The MCID and RCID were calculated for FAS, POMS-F, and SF-36-VT using different methods. The results can be used by researchers and clinicians for interpreting their findings in subjects similar to those who participated in this study.

Factors influencing fatigue among mothers with hospitalized children: A structural equation model

PURPOSE

The aim of this study was to identify the physiological, psychological, and situational factors affecting fatigue among mothers of hospitalized children.

DESIGN AND METHODS

This study used a cross-sectional descriptive design with a self-report questionnaire. Participants were 211 mothers with children younger than 6 years old who were admitted to general hospitals. Based on the theory of unpleasant symptoms, the physiological, psychological, and situational factors were tested using structural equation modeling.

RESULTS

Mothers' fatigue was influenced by physiological (β = .24), situational, and psychological factors (β = .17), and situational (β = .37) factors such as the mother's sleeping hours, the child's adaptation to hospitalization, anxiety and having support with their housework. These three factors explained 31.34% of the variance in fatigue. In particular, it was found that the psychological factors exacerbate the negative influence of the situational factors on fatigue. Moreover, the situational factors were most strongly related to mothers' fatigue, and they had an indirect effect via the psychological factors as a mediator.

PRACTICE IMPLICATIONS

It is necessary to implement a nursing intervention that targets the controllable factors such as anxiety and children's adaptation to hospitalization that were identified in this study. Pediatric nursing care should not be limited to treating children's illnesses, but should be extended to providing family-centered care.