Experiences of receiving an mHealth application with proactive nursing support among community-dwelling older adults: a mixed-methods study.

BACKGROUND: As the population ages, a plethora of digital and mobile health applications for assistance with independent living have emerged. Still unknown, however, is how older adults sustain the use of these applications. AIM: This study sought to explore the experiences of older adults following their participation in a programme that combined the use of an mHealth application with proactive telecare nursing support. METHODS: We employed a concurrent mixed-methods design for this study. The quantitative strand included a survey, whereas the qualitative strand included open-ended questions as part of the survey to understand the participants' experiences. Participants for this study were community-dwelling older adults who had taken part in an interventional study that sought to examine the effects of mHealth and nurse support. A convenience sampling approach was employed to recruit potential participants for this study. FINDINGS: Fifty-five older adults participated. The majority expressed positive attitudes and satisfaction with the app and the nurses' support. The app and nurses' support helped participants to understand their health status and obtain health information. Reasons to halt app usage included technical issues and limited social support. CONCLUSION: Mobile apps with professional follow-up support could potentially support older adults in the community, although emerging concerns need to be addressed to sustain long-term usage of these apps.

Effectiveness of support from community health workers on the sustained use of a wearable monitoring device among community-dwelling older adults: A randomized trial protocol.

BACKGROUND: Wearable monitoring devices, such as smartwatches and fitness bands, are health technologies for enhancing self-care management among community-dwelling older adults. While the evidence suggests that these devices can promote health, older adults often struggle to use them over the long term. Community health workers can effectively motivate older adults to change their health behaviors. This study proposes an intervention involving community health workers as peer supporters to promote sustained daily use of wearable monitoring devices among community-dwelling older adults. METHODS: The intervention group in this randomized controlled trial will receive the Live with Wearable Monitoring Device program from trained community health workers with the support of a nurse and social workers through a one-time home visit and regular phone calls. The control group will receive only the wearable monitoring device. Data will be collected at baseline, 1 month, 3 months, and 6 months. DISCUSSION: Merely providing older adults with wearable monitoring devices may not lead to the realization of the potential health benefits of these devices, as long-term usage can be challenging. The results of this trial can provide evidence for a new approach to enhancing self-management and community healthcare among community-dwelling older adults, ultimately improving their health outcomes. IMPACT: Wearable monitoring devices not only enable real-time monitoring of vital signs, but can also support tailored messaging and facilitate virtual communication between users and healthcare professionals. Despite considerable health benefits, there is evidence showing that older adults largely stop using them after a few months. This study is the first to use a peer support approach to help older adults incorporate a wearable monitoring device in their daily routines in conjunction with goal setting and regular reminders. This will boost the self-care ability of the older adults, allowing them to continue physically functioning in the community. TRIAL REGISTRATION: This study was prospectively registered at clinicaltrials.gov (identifier: NCT05269303). Registration date: 24/2/2022.

Sleep problems in children with autism spectrum disorder in Hong Kong: a cross-sectional study.

Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a growing prevalence of sleep problems associated with significant behavioral problems and more severe autism clinical presentation. Little is known about the relationships between autism traits and sleep problems in Hong Kong. Therefore, this study aimed to examine whether children with autism have increased sleep problems than non-autistic children in Hong Kong. The secondary objective was to examine the factors associated with sleep problems in an autism clinical sample. Methods: This cross-sectional study recruited 135 children with autism and 102 with the same age range of non-autistic children, aged between 6 and 12 years. Both groups were screened and compared on their sleep behaviors using the Children's Sleep Habits Questionnaire (CSHQ). Results: Children with autism had significantly more sleep problems than non-autistic children [t (226.73) = 6.20, p < 0.001]. Bed -sharing [beta = 0.25, t (165) = 2.75, p = 0.07] and maternal age at birth [beta = 0.15, t (165) = 2.05, p = 0.043] were significant factors associated with CSHQ score on the top of autism traits. Stepwise linear regression modeling identified that only separation anxiety disorder (beta = 4.83, t = 2.40, p = 0.019) best-predicted CSHQ. Conclusion: In summary, autistic children suffered from significantly more sleep problems and co-occurring separation anxiety disorder brings greater sleep problems as compared to non-autistic children. Clinicians should be more aware of sleep problems to provide more effective treatments to children with autism.

The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial.

BACKGROUND: Although mobile health application (mHealth app) programs have effectively promoted disease self-management behaviors in the last decade, usage rates have tended to fall over time. OBJECTIVE: We used a case management approach led by a nurse and supported by a health-social partnership team with the aim of sustaining app usage among community-dwelling older adults and evaluated the outcome differences (i.e, self-efficacy, levels of depression, and total health service usages) between those who continued to use the app. METHODS: This was a 3-arm randomized controlled trial. A total of 221 older adults with hypertension, diabetes, or chronic pain were randomized into 3 groups: mHealth (n=71), mHealth with interactivity (mHealth+I; n=74), and the control (n=76). The mHealth application was given to the mHealth and mHealth+I groups. The mHealth+I group also received 8 proactive calls in 3 months from a nurse to encourage use of the app. The control group received no interventions. Data were collected at preintervention (T1), postintervention (T2), and at 3 months' postintervention (T3) to ascertain the sustained effect. RESULTS: A total of 37.8% of mHealth+I and 18.3% of mHealth group participants continued using the mHealth app at least twice per week until the end of the sixth month. The difference in app usage across the 2 groups between T2 and T3 was significant (χ21=6.81, P=.009). Improvements in self-efficacy (ß=4.30, 95% CI 0.25-8.35, P=.04) and depression levels (ß=-1.98, 95% CI -3.78 to -0.19, P=.03) from T1 to T3 were observed in the mHealth group participants who continued using the app. Although self-efficacy and depression scores improved from T1 to T2 in the mHealth+I group, the mean values decreased at T3. Health service usage decreased for all groups from T1 to T2 (ß=-1.38, 95% CI -1.98 to -0.78, P<.001), with a marginal increase at T3. CONCLUSIONS: The relatively low rates of mHealth app usage at follow-up are comparable to those reported in the literature. More work is needed to merge the technology-driven and in-person aspects of mHealth. TRIAL REGISTRATION: ClinicalTrials.gov NCT03878212; https://clinicaltrials.gov/ct2/show/NCT03878212. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1159/000509129.

Effect of a Mobile Health Application With Nurse Support on Quality of Life Among Community-Dwelling Older Adults in Hong Kong: A Randomized Clinical Trial.

Importance: Mobile health (mHealth) smartphone apps are becoming increasingly popular among older adults, although the reactive care approach of these apps has limited their usability. Objective: To evaluate the effects of an interactive mHealth program supported by a health-social partnership team on quality of life (QOL) among community-dwelling older adults in Hong Kong. Design, Setting, and Participants: This was a 3-group, randomized clinical trial conducted in 5 community centers in Hong Kong from December 1, 2020, to April 30, 2022, with a last follow-up date of January 31, 2022. Participants included older adults aged at least 60 years who were living within the service area, used a smartphone, and had at least 1 of the following problems: chronic pain, hypertension, or diabetes. Data were analyzed from May 1 to 10, 2022. Interventions: Participants were randomly assigned to the mHealth with interactivity (mHealth+I) group, mHealth group, or control group. Participants in the mHealth+I group received the mHealth app and nurse case management supported by a health-social partnership team. The mHealth group received the mHealth app only. The control group received no mHealth app or health-social care services. Main Outcomes and Measures: The primary outcome was the change in QOL from baseline to 3 months after completion of the intervention. Results: Among 221 participants (mean [SD] age 76.6 [8.0] years; 185 [83.7%] women), 76 were randomized to the control group, 71 were randomized to the mHealth group, and 74 were randomized to the mHealth+I group. The most common chronic diseases or problems were hypertension (147 participants [66.5%]), pain (144 participants [65.2%]), cataracts (72 participants [32.6%]), and diabetes (61 participants [27.6%]). At 3 months after the intervention and compared with the intervention group, there were no statistically significant differences in either the physical component summary (mHealth+I: ß = -1.01 [95% CI, -4.13 to 2.11]; P = .53; mHealth: ß = 0.22 [95% CI, -3.07 to 3.50]; P = .90) or the mental component summary (mHealth+I: ß = -0.87 [95% CI, -4.42 to 2.69]; P = .63; mHealth: ß = 1.73 [95% CI, -1.89 to 5.34]; P = .35) QOL scores. Only secondary outcomes, including self-efficacy (ß = -2.31 [95% CI, -4.26 to -0.36]; P = .02), systolic blood pressure (ß = -2.30 [95% CI, -5.00 to -0.13]; P = .04), pain levels (ß = 1.18 [95% CI, 0.52 to 2.00]; P = .02), and health services utilization (ß = 0.98 [95% CI, 0.32 to 2.09]; P = .048) improved in the mHealth+I group compared with the control group. Conclusions and Relevance: This randomized clinical trial found no difference in the primary outcome between the mHealth+I group and the control group confirming that there were no incremental benefits to adding interactivity in mHealth programs for older adults with chronic diseases. Trial Registration: Clinicaltrials.gov Identifier: NCT03878212.

A randomized controlled trial of an mHealth application with nursing interaction to promote quality of life among community-dwelling older adults.

Significance: Using mHealth apps alone at home without the support of healthcare experts could mean that older adults might not fully utilize the functions of the apps, recognize their benefits, and sustain their use. Incorporating an integrated health-social partnership model to support the app usage when further help is needed by the older adults might maximize the apps' benefits in the long term. Objectives: This study aimed to examine the benefits of adding nursing interaction supported by a health-social partnership model in the use of mHealth, and the sustained beneficial effects on psychological outcomes, including quality of life, self-efficacy, and depression, among older adults after the completion of the program. Methods: A three-arm, randomized controlled trial design was adopted. Community-dwelling older adults with chronic pain, hypertension, or diabetes, were randomly assigned to either the mHealth, mHealth with interactivity, or control group. Subjects in both the mHealth and the mHealth with interactivity groups received the mHealth application. In addition, the mHealth with interactivity group received support from a nurse case manager, who was supported by a health-social partnership team. mHealth apps and services from a nurse case manager were not provided to the control group. The primary outcome measure was quality of life, and secondary outcomes were self-efficacy and depression. Data were collected at pre-intervention (T1), post-intervention (T2), and at 3 months post-intervention to measure the sustained effect of the program. Results: There were 74 mHealth+I, 71 mHealth, and 76 control group subjects enrolled in the program. No statistically significant between-group, within-group, and interaction effects between group and time in both physical component summary (PCS) and mental component summary (MCS) scores were found among the three groups. The mHealth group showed an improvement in PCS and depression scores from T1 to T2, sustained at T3; while the mHealth+I group demonstrated improved self-efficacy from T1 to T2, with a decrease at T3. Conclusion: Adding nurse-directed telephone calls may be of little to no benefit at all in the long term. Future studies may consider a longer intervention period to build and sustain quality of life and self-efficacy levels among community-dwelling older adults. Clinical trial registration: www.ClinicalTrials.gov, identifier: NCT03878212.

Effect of a Telecare Case Management Program for Older Adults Who Are Homebound During the COVID-19 Pandemic: A Pilot Randomized Clinical Trial.

Importance: Older adults who are homebound can be difficult to reach owing to their functional limitations and social distancing during the COVID-19 pandemic, leaving their health needs unrecognized at an earlier stage. Objective: To determine the effectiveness of a telecare case management program for older adults who are homebound during the COVID-19 pandemic. Design, Setting, and Participants: This randomized clinical trial was conducted among 68 older adults in Hong Kong from May 21 to July 20, 2020, with a last follow-up date of October 20, 2020. Inclusion criteria were being 60 years or older, owning a smartphone, and going outside less than once a week in the previous 6 months. Interventions: Participants in the telecare group received weekly case management from a nurse supported by a social service team via telephone call and weekly video messages covering self-care topics delivered via smartphone for 3 months. Participants in the control group received monthly social telephone calls. Main Outcomes and Measures: The primary outcome was the change in general self-efficacy from before the intervention to after the intervention at 3 months. Self-efficacy was measured by the Chinese version of the 10-item, 4-point General Self-efficacy Scale, with higher scores representing higher self-efficacy levels. Analysis was performed on an intention-to-treat basis. Results: A total of 68 participants who fulfilled the criteria were enrolled (34 in the control group and 34 in the intervention group; 56 [82.4%] were women; and mean [SD] age, 71.8 [6.1] years). At 3 months, there was no statistical difference in self-efficacy between the telecare group and the control group. Scores for self-efficacy improved in both groups (ß = 1.68; 95% CI, -0.68 to 4.03; P = .16). No significant differences were found in basic and instrumental activities of daily living, depression, and use of health care services. However, the telecare group showed statistically significant interactions of group and time effects on medication adherence (ß = -8.30; 95% CI, -13.14 to -3.47; P = .001) and quality of life (physical component score: ß = 4.99; 95% CI, 0.29-9.69; P = .04). Conclusions and Relevance: In this randomized clinical trial, participants who received the telecare program were statistically no different from the control group with respect to changes in self-efficacy, although scores in both groups improved. After the intervention, the telecare group had better medication adherence and quality of life than the control group, although the small sample size may limit generalizability. A large-scale study is needed to confirm these results. Trial Registration: ClinicalTrials.gov Identifier: NCT04304989.

Anticoagulation during haemodialysis using a citrate-enriched dialysate: a feasibility study.

BACKGROUND: The feasibility of anticoagulating the extracorporeal circuit during haemodialysis using a simple citrate-enriched dialysate was evaluated in a prospective, randomised, cross-over study of 24 patients who were at high risk for bleeding. METHODS: A dialysate, with a citrate level of 3 mEq/L (1 mmol/L), was generated by adding citrate to the conventional liquid 'bicarbonate concentrate' of a regular, dual-concentrate, bicarbonate-buffered dialysate delivery system. Each of the 24 patients received two dialysis treatments. For anticoagulation of the extracorporeal circuit, one treatment used the citrate-enriched dialysate (Citrate Group), while the other treatment used conventional saline flushing (Saline Group). The order of the two treatments was randomised. With either method, a heparinized, saline-rinsed dialyser was used, and no heparin was administered during dialysis. RESULTS: Ninety-two per cent (22 out of 24) and 100% of patients tolerated the procedure well in the Citrate Group and the Saline Group, respectively. Eight per cent (two out of 24) of the treatments in each group had to be abandoned because of clotting in the extracorporeal circuit. Significantly less thrombus formation in the venous air traps was detected in the Citrate Group. No patients from either group suffered from hypocalcaemic or bleeding complications, but the immediate post-dialysis and 0.5-h post-dialysis plasma levels of ionised calcium and of magnesium were slightly lower in the Citrate Group than in the Saline Group. CONCLUSIONS: Our findings suggest that it is feasible to use the present simple citrate-enriched dialysate to dialyse patients safely and effectively. Furthermore, the approach is much simpler than a conventional, intermittent, saline-flushing method.

Can the urine dipstick test reduce the need for microscopy for assessment of systemic lupus erythematosus disease activity?

OBJECTIVE: Urine microscopic examination is an important component of the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI). We investigated whether the urine dipstick test can reduce the need for microscopy for the assessment of SLEDAI. METHODS: We studied 269 urine samples from 259 SLE patients with Albustix and Hemastix reagent strips. The results were compared to concomitant microscopic examination of urinary sediment. RESULTS: When trace red blood cell was defined as the cutoff, the sensitivity, specificity, and negative predictive value (NPV) of the Hemastix urine test were 0.98, 0.53, and 0.99, respectively, for hematuria; 0.82, 0.47, and 0.90, respectively, for the presence of pyuria; and 0.91, 0.44, and 0.98, respectively, for the presence of casts by microscopic examination. When proteinuria of 1+ was defined as the cutoff, the sensitivity, specificity, and NPV of the Albustix test were 1.00, 0.46, and 0.99, respectively, for urinary casts; and 0.82, 0.49, and 0.90, respectively, for the presence of pyuria. When both Albustix and Hemastix were applied as screening test, urine microscopy could be reduced by 27%; however, 8% of cases with normal Albustix and Hemastix tests had at least one abnormality on urine microscopy examination. CONCLUSION: In patients with SLE, a combination of Albustix and Hemastix urine tests showed reasonable sensitivity to detect abnormalities in urine sediment. Based on these results, routine urine microscopy can be limited to SLE patients with abnormal Albustix or Hemastix tests. Rarer causes of abnormal renal function in lupus, such as tubulointerstitial nephritis or drug induced interstitial nephritis, would be manifested by pyuria and therefore would not necessarily be detected by changes in the blood and protein detectors on the urine dipstick.