Is WHODAS 2.0 Useful for Colorectal Cancer Survivors?

Factors associated with functional ability in patients with esophageal cancer undergoing chemoradiotherapy: a prospective longitudinal study

PURPOSE

During and after treatment, esophageal cancer (EC) patients experience changes in body mass index (BMI), performance status, nutrition status, symptom distress, and physical fitness. This study aims to evaluate temporal changes and their associated factors in BMI, performance status, nutrition status, symptom distress, physical fitness, and functional ability in EC patients during and after treatment.

METHODS

This prospective longitudinal study recruited EC patients from a medical center in Northern Taiwan. The 100 EC patients were assessed before treatment (T0), 1 month after starting treatment (T1), 3 months after starting treatment (end of treatment) (T2), and 6 months after starting treatment (T3). Generalized estimating equation analysis was used to determine the factors associated with changes in functional ability over time.

RESULTS

Patient nutrition status was lowest before treatment and then increased by 6 months after treatment. Symptom distress slightly decreased from before treatment to 3 months after treatment, rising at 6 months after treatment but not reaching baseline (T0). Functional ability increased from before treatment to 1 month after treatment and then declined at 3 months after starting treatment, increasing at 6 months to below baseline (T0). Patients who had a BMI less than 25 kg/m2, engaged less in physical activity, and were less physically fit were more likely to have worse functional ability.

CONCLUSION

BMI, level of physical activity, and the degree of physical fitness were the important factors associated with functional ability in EC patients. Healthcare professionals should design patient-tailored prehabilitation programs in advance to strengthen physical fitness.

Psychometric Properties of the 12-Item World Health Organization Disability Assessment Schedule (WHODAS 2.0), Greek Version: A Cross-Sectional Study on Applicants of Welfare Benefits

INTRODUCTION

The International Classification of Functioning, Disability, and Health (ICF) provides a framework for the biopsychosocial model of disability and was developed by the World Health Organization (WHO). The World Health Organization Disability Assessment Schedule (WHODAS 2.0) is an ICF-based tool that measures health and disability at the population level or in clinical practice. The aim of the study was to examine the psychometric properties of the Greek version of the WHODAS 2.0 (12-item) administered to 10,163 adults who had applied for welfare benefits in three regions of Greece.

METHODS

The WHODAS 2.0, administered by interview was the primary outcome variable. Principal axis factoring (PAF) and confirmatory factor analysis (CFA) assessed the data fit to the model (construct validity). The correlation between Barema disability percentage (assessed by a three-member medical committee) and WHODAS 2.0 score and the correlation between WHODAS 2.0 score and the number of comorbidities were also examined (concurrent validity). Cronbach's alpha was used to assess the internal consistency of the questionnaire. Floor and ceiling effects were also examined.

RESULTS

Internal consistency was acceptable (Cronbach's alpha=0.918). A significant association was found between Barema disability percentage and the WHODAS 2.0 score. Factor analysis showed a clear two-factor solution (PAF and CFA), while no floor or ceiling effects were evident.

CONCLUSION

The Greek version of the 12-item WHODAS 2.0 was found to be reliable and valid in a wide sample of applicants for welfare benefits.

Effect of a Novel Digital Leakage Notification System (Heylo) for Ostomy Care on Quality of Life and Burden of Living With an Intestinal Ostomy: The ASSISTER Trial, A Randomized Controlled Cross-Over Trial

Objective

To investigate the effect of a novel digital leakage notification system (Heylo) on quality of life (QoL) and burden of living with an intestinal ostomy.

Patients and Methods

A randomized, controlled, open-label, cross-over trial was conducted in Germany with people having intestinal ostomies, who were cared for by 13 ostomy care specialists. Participants with fecal leakage problems were randomized by a centralized system to either Heylo + Standard of Care (SoC) or SoC alone for 8 weeks, whereafter participants crossed over to the opposite treatment for an additional 8 weeks. Primary and secondary end points were: E motional impact domain score of the Ostomy Leak Impact tool and P articipation domain score of the WHO Disability Assessment Schedule 2.0, respectively. Primary comparisons between Heylo and SoC were evaluated using linear mixed models, taking time and study period into account. The trial is registered with ClinicalTrials.gov, NCT05200416.

Results

A total of 144 participants were allocated to a treatment sequence after giving informed consent (safety population). Analyses included randomized participants who had been exposed to at least 1 product and with information on at least 1 end point (intention-to-treat population, n=139). Both the E motional impact and P articipation domain scores improved significantly after 8 weeks use of Heylo compared with SoC (LS mean difference of 11.4; 95% CI, 7.8-15.0; P<.001 and -4.2; 95% CI, -6.7 to -1.6; P=.001, respectively). Few adverse events related to Heylo were reported (n=5, 3.5%; all related to skin irritation).

Conclusion

Use of Heylo reported positive effects on quality of life and the overall burden of living with an intestinal ostomy.

Psychometric properties of the 12-item WHODAS applied through phone survey: an experience in PERSIAN Traffic Cohort

BACKGROUND

Due to limited capability to function in post-injury daily life injury, survivors need to be reliably assessed without need to commute more than necessary. The key action is to determine the level of functioning difficulties. Having the opportunity of conducting a national post-crash traffic safety and health cohort study, we aimed to translate into Persian and assess the psychometric properties of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) through phone surveys six month post injury.

METHODS

First, having World Health Organization permission, we tested the translation validity by forward translation, expert panel evaluation, back-translation, pre-testing and cognitive interviewing, and finalizing the Persian WHODAS. Then, through a psychometric study within a national cohort platform, the validity, reliability and applicability of the 12-item WHODAS was assessed through phone surveys. We included data of 255 road traffic injury patients enrolled from the cohort at six-month follow-up. The psychometric assessment (internal consistency reliability and stability reliability) was conducted on test-retest data of 50 patients with an average 7-day time span. An exploratory factor analysis tested the construct validity using extraction method of principal component factor and oblique rotation on data from 255 patients. Regarding the multiple criteria including an eigenvalue > 0.9, Cattell's scree test, cumulative variance, and the theoretical basis, the minimum number of factors were retained. Data were analyzed using STATA statistical software package.

RESULTS

The respondents were mostly male (81%), employed (71%), educated (87%), and with a mean age of 37.7(14.9). The Persian version had high internal consistency reliability (Cronbach's α = 0.93) and excellent stability reliability (ICC = 0.97, 95% CI: 0.92-0.98). An exploratory factor analysis retained four factors defining 86% of all the variance. Factors of Self-care, Mobility, and Cognition were completely retained.

CONCLUSIONS

The brief Pesrian WHODAS 2.0 was highly reliable and valid to be applied through phone interviews post injury.

Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors

BACKGROUND

It is encouraging to see a substantial increase in individuals surviving cancer. Even more so since most of them will have a positive effect on society by returning to work. However, many cancer survivors have unmet needs, especially when it comes to improving their quality of life (QoL). Only few survivors are able to meet all of the recommendations regarding well-being and there is a body of evidence that cancer survivors' needs often remain neglected from health policy and national cancer control plans. This increases the impact of inequalities in cancer care and adds a dangerous component to it. The inequalities affect the individual survivor, their career, along with their relatives and society as a whole. The current study will evaluate the impact of the use of big data analytics and artificial intelligence on the self-efficacy of participants following intervention supported by digital tools. The secondary endpoints include evaluation of the impact of patient trajectories (from retrospective data) and patient gathered health data on prediction and improved intervention against possible secondary disease or negative outcomes (e.g. late toxicities, fatal events).

METHODS/DESIGN

The study is designed as a single-case experimental prospective study where each individual serves as its own control group with basal measurements obtained at the recruitment and subsequent measurements performed every 6 months during follow ups. The measurement will involve CASE-cancer, Patient Activation Measure and System Usability Scale. The study will involve 160 survivors (80 survivors of Breast Cancer and 80 survivors of Colorectal Cancer) from four countries, Belgium, Latvia, Slovenia, and Spain. The intervention will be implemented via a digital tool (mHealthApplication), collecting objective biomarkers (vital signs) and subjective biomarkers (PROs) with the support of a (embodied) conversational agent. Additionally, the Clinical Decision Support system (CDSS), including visualization of cohorts and trajectories will enable oncologists to personalize treatment for an efficient care plan and follow-up management.

DISCUSSION

We expect that cancer survivors will significantly increase their self-efficacy following the personalized intervention supported by the m-HealthApplication compared to control measurements at recruitment. We expect to observe improvement in healthy habits, disease self-management and self-perceived QoL. Trial registration ISRCTN97617326. https://doi.org/10.1186/ISRCTN97617326 . Original Registration Date: 26/03/2021.

Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors

BACKGROUND

It is encouraging to see a substantial increase in individuals surviving cancer. Even more so since most of them will have a positive effect on society by returning to work. However, many cancer survivors have unmet needs, especially when it comes to improving their quality of life (QoL). Only few survivors are able to meet all of the recommendations regarding well-being and there is a body of evidence that cancer survivors' needs often remain neglected from health policy and national cancer control plans. This increases the impact of inequalities in cancer care and adds a dangerous component to it. The inequalities affect the individual survivor, their career, along with their relatives and society as a whole. The current study will evaluate the impact of the use of big data analytics and artificial intelligence on the self-efficacy of participants following intervention supported by digital tools. The secondary endpoints include evaluation of the impact of patient trajectories (from retrospective data) and patient gathered health data on prediction and improved intervention against possible secondary disease or negative outcomes (e.g. late toxicities, fatal events).

METHODS/DESIGN

The study is designed as a single-case experimental prospective study where each individual serves as its own control group with basal measurements obtained at the recruitment and subsequent measurements performed every 6 months during follow ups. The measurement will involve CASE-cancer, Patient Activation Measure and System Usability Scale. The study will involve 160 survivors (80 survivors of Breast Cancer and 80 survivors of Colorectal Cancer) from four countries, Belgium, Latvia, Slovenia, and Spain. The intervention will be implemented via a digital tool (mHealthApplication), collecting objective biomarkers (vital signs) and subjective biomarkers (PROs) with the support of a (embodied) conversational agent. Additionally, the Clinical Decision Support system (CDSS), including visualization of cohorts and trajectories will enable oncologists to personalize treatment for an efficient care plan and follow-up management.

DISCUSSION

We expect that cancer survivors will significantly increase their self-efficacy following the personalized intervention supported by the m-HealthApplication compared to control measurements at recruitment. We expect to observe improvement in healthy habits, disease self-management and self-perceived QoL. Trial registration ISRCTN97617326. https://doi.org/10.1186/ISRCTN97617326 . Original Registration Date: 26/03/2021.

Disability, pain, and wound-specific concerns self-reported by adults at risk of limb loss: A cross-sectional study using the World Health Organization Disability Assessment Schedule 2.0

Introduction

There has been limited study of patient-reported outcomes (PROs) in patients at risk of limb loss. Our primary objective was to estimate the prevalence of disability in this patient population using the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0).

Materials and methods

We recruited patients referred to a limb-preservation clinic. Patients self-reported their disability status using the 12-domain WHODAS 2.0. Severity of disability in each domain was scored from 1 = none to 5 = extreme and the total normalized to a 100-point scale (total score ≥25 = clinically significant disability). We also asked patients about wound-specific concerns and wound-related discomfort or distress.

Results

We included 162 patients. Reasons for clinic referral included arterial-insufficient (37.4%), postoperative (25.9%), and mixed etiology (10.8%) wounds. The mean WHODAS 2.0 disability score was 35.0 (standard deviation = 16.0). One-hundred-and-nineteen (73.5%) patients had clinically significant disability. Patients reported they had the greatest difficulty walking a long distance (mean score = 4.2), standing for long periods of time (mean score = 3.6), taking care of household responsibilities (mean score = 2.7), and dealing with the emotional impact of their health problems (mean score = 2.5). In the two-weeks prior to presentation, 87 (52.7%) patients expressed concern over their wound(s) and 90 (55.6%) suffered a moderate amount or great deal of wound-related discomfort or distress. In adjusted ordinary least squares regression models, although WHODAS 2.0 disability scores varied with changes in wound volume (p = 0.03) and total revised photographic wound assessment tool scores (p<0.001), the largest decrease in disability severity was seen in patients with less wound-specific concerns and wound-related discomfort and distress.

Discussion

The majority of people at risk of limb loss report suffering a substantial burden of disability, pain, and wound-specific concerns. Research is needed to further evaluate the WHODAS 2.0 in a multicenter fashion among these patients and determine whether care and interventions may improve their PROs.

The 12 items Amharic version WHODAS-2 showed cultural adaptation and used to measure disability among road traffic trauma victims in Ethiopia

BACKGROUND

Adapting and translating already developed tools to different cultures is a complex process, but once done, it increases the validity of the construct to be measured. This study aimed to assess the 12 items WHODAS-2 and test its psychometric properties among road traffic injury victims in Ethiopia. This study aimed to translate the 12 items WHODAS- 2 interview-based tools into Amharic and examine the psychometric properties of the new version among road traffic injury victims.

METHODS

The 12 items WHODAS 2 was first translated into Amharic by two experts. Back translation was done by two English experts. A group of experts reviewed the forward and backward translation. A total of 240 patients with road traffic injury completed the questionnaires at three selected Hospitals in Amhara Regional State. Internal consistency was; assessed using Chronbach's alpha, convergent, and divergent validity, which were; tested via factor analysis. Confirmatory factor analysis (CFA); was computed, and the model fit; was examined.

RESULTS

The translated Amharic version 12 -items WHODAS-2 showed that good cross-cultural adaptation and internal consistency (Chronbach's α =0.88). The six factor structure best fits data (model fitness indices; CFI = 0.962, RMSEA = 0.042, RMR = 0.072, GFI = 0.961, chi-square value/degree of freedom = 1.42, TLI = 0.935 and PCLOSE = 0.68). Our analysis showed that from the six domains, mobility is the dominant factor explaining 95% of variability in disability.

CONCLUSION

The 12 items interview-based Amharic version WHODAS-2; showed good cultural adaptation at three different settings of Amhara Regional State and can be used to measure dis-ability following a road traffic injury.

The World Health Organization Disability Assessment Schedule 2 (WHODAS 2.0): remarks on the need to revise the WHODAS

Functioning and disability are concepts in increasing use in clinical settings and in public health. From the public health perspective, the use of functioning as a third health indicator could show more than the frequency of a disease and its death rates, offering information on how the population performs its activities and participation. Clinically, the functioning assessment can provide information for patient-centered health care and specific clinical interventions according to their functioning profile. WHODAS 2.0 is a generic tool to assess health and functioning according to the ICF functioning model. It is an alternative to assess functioning in a less time-consuming way, whereas the duration of the application is one of the main ICF critiques. This paper aims to present some of WHODAS 2.0 inconsistencies and weaknesses as well as strategies to cope with them. In this paper, we present some weaknesses related to the WHODAS layout; wording and scoring process. Some suggestions for strategies to correct these weaknesses are presented, as well.