The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability.

An easy-to-use and reliable tool is essential for gait assessment of people with gait pathologies. This study aimed to assess the reliability and validity of the OneStep smartphone application compared to the C-Mill-VR+ treadmill (Motek, Nederlands), among patients undergoing rehabilitation for unilateral lower extremity disability. Spatiotemporal gait parameters were extracted from the treadmill and from two smartphones, one on each leg. Inter-device reliability was evaluated using Pearson correlation, intra-cluster correlation coefficient (ICC), and Cohen's d, comparing the application's readings from the two phones. Validity was assessed by comparing readings from each phone to the treadmill. Twenty-eight patients completed the study; the median age was 45.5 years, and 61% were males. The ICC between the phones showed a high correlation (r = 0.89-1) and good-to-excellent reliability (ICC range, 0.77-1) for all the gait parameters examined. The correlations between the phones and the treadmill were mostly above 0.8. The ICC between each phone and the treadmill demonstrated moderate-to-excellent validity for all the gait parameters (range, 0.58-1). Only 'step length of the impaired leg' showed poor-to-good validity (range, 0.37-0.84). Cohen's d effect size was small (d < 0.5) for all the parameters. The studied application demonstrated good reliability and validity for spatiotemporal gait assessment in patients with unilateral lower limb disability.

High variation between healthcare professionals in nutrition therapy plans of patients with feeding tubes admitted to a long-term rehabilitation center from an acute-care hospital.

BACKGROUND: Nutrition therapy plans (NTPs) in discharge summaries of tube-fed patients transferred from acute-care hospitals to rehabilitation centers are fundamental for continuity of care. This study examined the presence and quality of NTPs in discharge summaries of tube-fed patients. METHODS: This cross-sectional study was based on data retrieved from electronic medical records. The outcome measures were the presence of NTPs in discharge summaries, the presence of key elements of the NTPs, and the level of compatibility between multiple NTPs per discharge summary prepared by different health professionals. Descriptive statistics were used to assess the number of NTPs, the presence of key elements, and the degree of compatibility between NTPs for the same patient. RESULTS: A total of 100 discharge summaries of tube-fed patients admitted to a rehabilitation hospital during 2015-2017 were identified. The majority (91%) of discharge summaries included at least one NTP; 57 included more than one. Variance in the presence of key elements was observed in 165 NTPs prepared by physicians, nurses, and dietitians. Water amount and nutrition route were least reported by dietitians (6.3% and 9.4%, respectively), compared with physicians (77.6% and 81%) and nurses (77.3% and 62.7%). However, nutrition details were reported more frequently by dietitians (65.6%) than physicians (20.7%) and nurses (32%). Low compatibility was observed between dietitians and both nurses and physicians, in the range of 0%-26%. CONCLUSION: Large discrepancies were found between NTPs for the same patient prepared by dietitians, physicians, and/or nurses, and a portion of patients arrived without any NTP.

Association between Self-Classification of COVID-19 Risk Levels and Adverse Lifestyle Changes among Physically Active Older Adults Following the Coronavirus Outbreak.

The COVID-19 pandemic has imposed barriers to a healthy lifestyle, especially for older adults who are considered to be at a high-risk of infection. This study examined the associations between negative changes and the self-classification to COVID-19 risk level among physically active older adults who are members of a nationwide health club chain. A cross-sectional digital survey was sent to 19,160 older adults (age ≥ 65). The data collected included information on the subjects' self-classification to the COVID-19 high-risk group (HRG) and changes in physical activity (PA), body weight, and smoking habits since the outbreak. Logistic regression models were used to investigate the associations between the dependent variables of 'experienced a negative change' and the independent variables. Of the 1670 survey respondents, 78.3% classified themselves as COVID-19 HRG. Over half of the respondents reported a reduction in PA hours, 26.6% reported weight gain, and 17.7% of smokers increased their amount of smoking. A self-classification to the HRG was associated with 1.46 (95%CI 1.10−1.93, p < 0.009) and 1.67 (95%CI 1.21−2.31, p < 0.002) greater odds for reduced hours of exercise and weight gain compared to the not high-risk group, respectively. Decision makers should consider how policies may cause barriers to a healthy lifestyle and develop risk communication strategies to encourage positive health-related behaviors, even during a pandemic.