Estimating the minimal clinically important difference for the Physical Component Summary of the Short Form 36 for patients with stroke

Minimal Clinically Important Difference of Scales Reported in Stroke Trials: A Review

There is a growing awareness of the significance of using minimum clinically important differences (MCIDs) in stroke research. An MCID is the smallest change in an outcome measure that is considered clinically meaningful. This review is the first to provide a comprehensive summary of various scales and patient-reported outcome measures (PROMs) used in stroke research and their MCID values reported in the literature, including a concise overview of the concept of and methods for determining MCIDs in stroke research. Despite the controversies and limitations surrounding the estimation of MCIDs, their importance in modern clinical trials cannot be overstated. Anchor-based and distribution-based methods are recommended for estimating MCIDs, with patient self-evaluation being a crucial component in capturing the patient's perspective on their health. A combination of methods can provide a more comprehensive understanding of the clinical relevance of treatment effects, and incorporating the patient's perspective can enhance the care of stroke patients.

Effect of psychosocial interventions for depression in adults with chronic kidney disease: a systematic review and meta-analysis

BACKGROUND

People with chronic kidney disease (CKD) treated with dialysis are frequently affected by depression. Psychotherapy has been reported to decrease depressive symptoms in various chronic diseases and is a potential treatment option for depression. We aimed to perform a systematic review and meta-analysis to evaluate the effect of psychotherapy on depression in adults with CKD.

METHODS

We searched MEDLINE, Embase, Web of Science, and Cochrane for published studies up to October 31, 2023. Two investigators independently reviewed the included studies and extracted relevant data. Randomized controlled trials (RCTs) assessing the impact of interventions that provide psychological, emotional, or social support without the use of pharmacological substances on depressive symptoms in people with CKD were included and summarized. Scores on different tools for depressive assessment and quality of life were pooled.

RESULTS

A total of 19 RCTs published between 2004 and 2023 were included and analyzed. The weighted mean difference (WMD) for all included studies with regard to depression was - 2.32 (95%CI=-3.83, -0.80, P = 0.003). The WMD for Beck Depression Inventory (BDI) score of depression was - 3.27 (95%CI=-7.81, 1.27, P = 0.158) with significant heterogeneity (I2 = 95.1%). Significant WMD was detected for the Hospital Anxiety and Depression Scale (HADS) tool: WMD=-1.90, 95%CI=-2.91, -0.90, P < 0.001. The WMD for all included studies regarding quality of life was 1.21 (95%CI=-0.51, 2.93, P = 0.168). The WMD for Kidney Disease Quality of Life Short Form (KDQOL-SF) score was 4.55 (95%CI = 0.50, 8.60, P = 0.028). The WMD for SF-36 score was 0.02 (95%CI=-10.33, 10.36, P = 0.998). Significant difference on outcomes of S-PRT scale was observed (WMD = 2.42, 95%CI = 1.07, 3.76, P < 0.001).

CONCLUSIONS

Psychosocial interventions probably reduce the depression level among CKD patients. Preliminary evidence suggests that psychosocial interventions might be beneficial for the quality of life in CKD patients. Our results provide medical facilities with an evidence-based basis for establishing psychosocial interventions in kidney care settings.

The BETTER Traumatic Brain Injury Transitional Care Intervention: A Feasibility Study

This study aimed to investigate the feasibility, acceptability, and clinical outcome measures of BETTER (Brain Injury Education, Training, and Therapy to Enhance Recovery), a culturally tailored traumatic brain injury (TBI) transitional care intervention, among diverse younger adult patients with TBI (age 18-64) and their caregivers. Trained clinical interventionists addressed patient/family needs; established goals; coordinated post-hospital care and resources; and provided patient/family training on self- and family-management coping skills. Fifteen dyads enrolled (N = 31, 15 patients, 16 caregivers). All completed baseline data; 74.2% (n = 23; 10 patients, 13 caregivers) completed 8-week data; 83.8% (n = 26; 13 each) completed 16-week data. Approximately 38% (n = 12, 3 patients, 9 caregivers) completed acceptability data, showing positive experiences (mean = 9.25, range 0-10; SD = 2.01). Overall and mental quality of life (QOL) scores did not differ over time but physical QOL scores did improve over time (baseline: 30.3, 8 weeks: 46.5, 16 weeks: 61.6; p = 0.0056), which was considered to be a suitable outcome measure for a future trial. BETTER is a promising intervention with implications to improve TBI care standards. Research is needed to determine efficacy in a randomized trial.

The anchor design of anchor-based method to determine the minimal clinically important difference: a systematic review

BACKGROUND

Positive results for clinical outcomes should be not only statistically significant, but also clinically significant. The minimum clinically important difference (MCID) is used to define the minimum threshold of clinical significance. The anchor-based method is a classical method for ascertaining MCID. This study aimed to summarise the design of the anchors of the anchor-based method by reviewing the existing research and providing references and suggestions.

METHOD

This study was mainly based on literature research. We performed a systematic search using Web of Science, PubMed, CNKI, Wanfang, and VIP databases. Two reviewers independently screened titles and abstracts to identify relevant articles. Data were extracted from eligible articles using a predefined data collection form. Discrepancies were resolved by discussion and the involvement of a third reviewer.

RESULT

Three hundred and forty articles were retained for final analysis. For the design of anchors, Subjective anchors (99.12%) were the most common type of anchor used, mainly the Patient's rating of change or patient satisfaction (66.47%) and related scale health status evaluation items or scores (39.41%). Almost half of the studies (48.53%) did not assess the correlation test between the anchor and the research indicator or scale. The cut-off values and grouping were usually based on the choice of the anchor types. In addition, due to the large number of included studies, this study selected the most calculated SF-36 (28 articles) for an in-depth analysis. The results showed that the overall design of the anchor and the cut-off value were the same as above. The statistical methods used were mostly traditional (mean change, ROC). The MCID thresholds of these studies had a wide range (SF-36 PCS: 2-17.4, SF-36 MCS: 1.46-10.28), and different anchors or statistical methods lead to different results.

CONCLUSION

It is of great importance to select several types of anchors and to use more reliable statistical methods to calculate the MCID. It is suggested that the order of selection of anchors should be: objective anchors > anchors with established MCID in subjective anchors (specific scale > generic scale) > ranked anchors in subjective anchors. The selection of internal anchors should be avoided, and anchors should be evaluated by a correlation test.

Health-Related Quality of Life and Healthcare Events in Patients with Monotherapy of Anti-Diabetes Medications

This study aimed to examine the difference in health-related quality of life (HRQOL) and diabetes-related healthcare events (HCEs) among adults with diabetes who were on metformin, sulfonylurea, insulin, or thiazolidinedione (TZD) monotherapy. The data were sourced from the Medical Expenditure Panel Survey (MEPS). Diabetes patients ≥18 years old who had a complete record of physical component score and mental component scores in round 2 and round 4 of the survey were included. The primary outcome was HRQOL of diabetes patients as measured by the Medical Outcome Study short-form (SF-12v2^TM). Multinomial logistic regression and negative binomial regression were conducted to determine associated factors of HRQOL and HCE, respectively. Overall, 5387 patients were included for analysis. Nearly 60% of patients had unchanged HRQOL after the follow-up, whereas almost 15% to 20% of patients showed improvement in HRQOL. The relative risk of declined mental HRQOL was 1.5 times higher relative to unchanged mental HRQOL in patients who were on sulfonylurea 1.55 [1.1-2.17, p = 0.01] than metformin users. The rate of HCE decreased by a factor of 0.79, [95% CI: 0.63-0.99] in patients with no history of hypertension. Patients on sulfonylurea 1.53 [1.20-1.95, <0.01], insulin 2.00 [1.55-2.70, <0.01], and TZD 1.78 [1.23-2.58, <0.01] had increased risk of HCE compared to patients who were on metformin. In general, antidiabetic medications modestly improved HRQOL in patients with diabetes during the follow-up period. Metformin had a lower rate of HCE as compared to other medications. The selection of anti-diabetes medications should focus on HRQOL in addition to controlling glucose level.

Augmented reality for stroke rehabilitation during COVID-19

BACKGROUND

The lack of the rehabilitation professionals is a global issue and it is becoming more serious during COVID-19. An Augmented Reality Rehabilitation System (AR Rehab) was developed for virtual training delivery. The virtual training was integrated into the participants' usual care to reduce the human trainers' effort so that the manpower scarcity can be eased. This also resulted in the reduction of the contact rate in pandemics.

OBJECTIVE

To investigate the feasibility of the AR Rehab-based virtual training when integrated into the usual care in a real-world pandemic setting, by answering questions of whether the integrated trials can help fulfill the training goal and whether the trials can be delivered when resources are limited because of COVID-19.

METHODS

Chronic stroke participants were randomly assigned to either a centre-based group (AR-Centre) or a home-based group (AR-Home) for a trial consisting of 20 sessions delivered in a human-machine integrated intervention. The trial of the AR-Centre was human training intensive with 3/4 of each session delivered by human trainers (PTs/OTs/Assistants) and 1/4 delivered by the virtual trainer (AR Rehab). The trial of the AR-Home was virtual training intensive with 1/4 and 3/4 of each session delivered by human and virtual trainers, respectively. Functional assessments including Fugl-Meyer Assessment for Upper Extremity (FMA-UE) and Lower Extremity (FMA-LE), Functional Ambulation Category (FAC), Berg Balance Scale (BBS), Barthel Index (BI) of Activities of Daily Living (ADL), and Physical Component Summary (SF-12v2 PCS) and Mental Component Summary (SF-12v2 MCS) of the 12-Item Short Form Health Survey (SF-12v2), were conducted before and after the intervention. User experience (UX) using questionnaires were collected after the intervention. Time and human resources required to deliver the human and virtual training, respectively, and the proportion of participants with clinical significant improvement were also used as supplementary measures.

RESULTS

There were 129 patients from 10 rehabilitation centres enrolled in the integrated program with 39 of them were selected for investigation. Significant functional improvement in FMA-UE (AR-Centre: p = 0.0022, AR-Home: p = 0.0043), FMA-LE (AR-Centre: p = 0.0007, AR-Home: p = 0.0052), SF-12v2 PCS (AR-Centre: p = 0.027, AR-Home: p = 0.036) were observed in both groups. Significant improvement in balance ability (BBS: p = 0.0438), and mental components (SF-12v2 MCS: p = 0.017) were found in AR-Centre group, while activities of daily living (BI: p = 0.0007) was found in AR-Home group. Contact rate was reduced by 30.75-72.30% within AR-All, 0.00-60.00% within AR-Centre, and 75.00-90.00% within AR-Home.

CONCLUSION

The human-machine integrated mode was effective and efficient to reduce the human rehabilitation professionals' effort while fulfilling the training goals. It eased the scarcity of manpower and reduced the contact rate during the pandemics.

Enhanced Street Crossing Features are Associated with Higher Post-Stroke Physical Quality of Life

BACKGROUND

Features of the physical environment may affect post-stroke recovery, but empirical evidence is limited. This study examines associations between features of the physical environment and post-stroke physical quality of life (PH-QOL).

METHODS

The study sample included stroke survivors enrolled in the Caring for Adults Recovering from the Effects of Stroke project, a prospective cohort. Features of the physical environment surrounding participants' home addresses were audited using Google Earth. Audits captured information about crossings (e.g. curb-cuts; range 0-4), street segments (e.g. sidewalks; range 0-17.5), and a route (e.g. parks; range 0-27) near participants' home. Summary scores were categorized into tertials representing "few," "some," and "many" pedestrian-friendly features. Post-stroke PH-QOL was measured by the SF-12 (range 0-100) around 6 to 12-, 18-, 27-, and 36-months post-stroke. Linear mixed models were used to estimate PH-QOL over time. Chained multiple imputation was used to account for missing data.

RESULTS

Two hundred and seventy-five participants were eligible, among whom 210 had complete data. Most participants lived in areas with "few" features to promote outdoor mobility. Participants living in environments with "some" crossing features had a 4.90 (95% CI: 2.32, 7.48) higher PH-QOL score across the observation period in comparison to participants living in environments with "few" crossing features. Features of the physical environment along street segments and routes were not associated with post-stroke PH-QOL.

CONCLUSION

Crossing features are associated with post-stroke PH-QOL. Modifying features of the physical environment at nearby crossings, such as curb-cuts, may be a promising strategy for increasing PH-QOL.

Health-related quality of life as associated with asthma control, psychological status and insomnia

BACKGROUND

Asthma is associated not only with lower health-related quality of life (HRQL) but also with psychological health and insomnia. The aim of this study was to investigate associations between HRQL, asthma symptoms, psychological status and insomnia in adults from three Nordic countries.

METHODS

This study comprised 2,270 subjects aged 29-55 from Sweden, Iceland and Norway. HRQL was measured with the 36-Item Short Form Health Survey (SF-36). The physical (PCS) and mental health (MCS) component scores were calculated with higher values, indicating better health status. Symptoms of depression and anxiety were measured using the Hospital Anxiety and Depression Scale (HADS). Insomnia was assessed with the Basic Nordic Sleep Questionnaire. An asthma score consisting of a sum of the positive answers to five respiratory symptoms was used in the analysis. Spirometry and allergy tests were also performed.

RESULTS

High HADS and sleep disturbance scores were both related to a low PCS and MCS, respectively, after adjusting for confounders. High age and high body mass index (BMI) were associated with low scores on the PCS, whilst the opposite was found for the MCS. A higher asthma score was related to a low PCS. An interaction between the HADS and the asthma symptom score was observed for the PCS (P = 0.0002), where associations between psychological status and the PCS were more pronounced for individuals with more symptoms than for individuals without symptoms.

CONCLUSIONS

In this study, we found that HRQL of life was independently related to the HADS, insomnia and asthma symptoms. Further prospective studies to identify the most efficient target for intervention in order to improve asthma control are needed.