The predictors of health-enhancing physical activity among working women in Singapore two years into COVID-19: a cross-sectional study.

Physical activity (PA) levels may have changed since the COVID-19 pandemic. However, these changes are not well understood. The study aimed to describe the PA level and examine the predictive factors of a health-enhancing PA level among working women in Singapore two years into the COVID-19 pandemic. We undertook a cross-sectional descriptive correlational study. Three hundred participants were recruited and completed the online questionnaire between October and November 2021. In the PA analysis of 217 participants, only 32.7% of the participants achieved a health-enhancing PA level, while 44.7% of the total sample sat for 7 h or more daily. In the univariate analysis, occupation, nationality, monthly income, and average daily sitting hours were significantly associated with a high PA level. The current mode of work, living arrangement, and health-promoting lifestyle profile II_physical activity score remained significant in both univariate and multivariate analyses. Participants who worked from home and stayed with their families were less likely to achieve a health-enhancing PA level than those who had a regular workplace and did not stay with their families. Working women with a health-promoting physically active lifestyle were likelier to achieve a health-enhancing PA level. The long daily sitting time and suboptimal health-enhancing PA participation underscore the need for health promotion initiatives for working women.

Effectiveness of a nurse-led smartphone-based self-management programme for people with poorly controlled type 2 diabetes: A randomized controlled trial.

AIM: To evaluate the effectiveness of a nurse-led smartphone-based self-management programme (NSSMP) on improving self-efficacy, promoting diabetes self-care, increasing health-related quality of life (HRQoL) and decreasing HbA1c, acute complications and unplanned medical consultation for people with poorly controlled type 2 diabetes compared with a nurse-led diabetic service (NDS). DESIGN: A two-arm randomized controlled trial with repeated measures was conducted. METHODS: Participants were recruited from June 2018 to September 2020. Eligible participants were assigned to either the intervention or control group randomly. Participants assigned to intervention group received the 6-month NSSMP, while those in the control group received existing NDS provided by the study hospital. Outcomes were measured at baseline, and at 3 and 6 months from baseline. RESULTS: A total of 114 participants were recruited. There were no significant interactions between group and time for all the outcomes except for blood glucose testing activities (F = 4.742, p = .015). Both groups had reduced HbA1c over 6 months. The intervention group had a lower HbA1c than the control group at follow-ups, but the differences were not statistically significant. None of the participants had acute diabetes complications at follow-up. Similarly, the differences in the number of unplanned medical consultation at 6-month follow-up between two groups were statistically insignificant. CONCLUSION: The NSSMP is as effective as existing NDS provided by the study hospital in improving most of the outcomes. NSSMP can liberate valuable time for nurses to provide care to critically ill patients and supports healthcare resource constraints in the current COVID-19 pandemic. IMPACT: The existing diabetes service is labour intensive as nurses are required to deliver education, follow-up telephone calls to trace blood sugar monitoring and provide therapeutic consultations and necessary referrals. The outbreak of COVID-19 pandemic has added further strain on the overworked professionals. NSSMP provides an alternative programme that is just as effective, to reduce nurses' workload by delegating them back to the individuals through self-management strategies. This enables nurses to increase contact time with patients, and individuals to take onus of their disease through increased self-efficacy, facilitated by technology. CLINICAL TRIAL: This study is registered under clinical registration number NCT03088475.

Technology Acceptance of Home-Based Cardiac Telerehabilitation Programs in Patients With Coronary Heart Disease: Systematic Scoping Review.

BACKGROUND: An understanding of the technology acceptance of home-based cardiac telerehabilitation programs is paramount if they are to be designed and delivered to target the needs and preferences of patients with coronary heart disease; however, the current state of technology acceptance of home-based cardiac telerehabilitation has not been systematically evaluated in the literature. OBJECTIVE: We aimed to provide a comprehensive summary of home-based cardiac telerehabilitation technology acceptance in terms of (1) the timing and approaches used and (2) patients' perspectives on its usability, utility, acceptability, acceptance, and external variables. METHODS: We searched PubMed, CENTRAL, Embase, CINAHL, PsycINFO, and Scopus (inception to July 2021) for English-language papers that reported empirical evidence on the technology acceptance of early-phase home-based cardiac telerehabilitation in patients with coronary heart disease. Content analysis was undertaken. RESULTS: The search identified 1798 studies, of which 18 studies, with 14 unique home-based cardiac telerehabilitation programs, met eligibility criteria. Technology acceptance (of the home-based cardiac telerehabilitation programs) was mostly evaluated at intra- and posttrial stages using questionnaires (n=10) and usage data (n=11). The least used approach was evaluation through qualitative interviews (n=3). Usability, utility, acceptability, and acceptance were generally favored. External variables that influenced home-based cardiac telerehabilitation usage included component quality, system quality, facilitating conditions, and intrinsic factors. CONCLUSIONS: Home-based cardiac telerehabilitation usability, utility, acceptability, and acceptance were high; yet, a number of external variables influenced acceptance. Findings and recommendations from this review can provide guidance for developing and evaluating patient-centered home-based cardiac telerehabilitation programs to stakeholders and clinicians.

Effectiveness of home-based cardiac telerehabilitation as an alternative to Phase 2 cardiac rehabilitation of coronary heart disease: a systematic review and meta-analysis.

AIMS: The onset of the COVID-19 pandemic saw the suspension of centre-based cardiac rehabilitation (CBCR) and has underscored the need for home-based cardiac telerehabilitation (HBCTR) as a feasible alternative rehabilitation delivery model. Yet, the effectiveness of HBCTR as an alternative to Phase 2 CBCR is unknown. We aimed to conduct a meta-analysis to quantitatively appraise the effectiveness of HBCTR. METHODS AND RESULTS: PubMed, EMBASE, CENTRAL, CINAHL, Scopus, and PsycINFO were searched from inception to January 2021. We included randomized controlled trials (RCTs) comparing HBCTR to Phase 2 CBCR or usual care in patients with coronary heart disease (CHD). Out of 1588 studies, 14 RCTs involving 2869 CHD patients were included in this review. When compared with usual care, participation in HBCTR showed significant improvement in functional capacity {6-min walking test distance [mean difference (MD) 25.58 m, 95% confidence interval (CI) 14.74-36.42]}; daily step count (MD 1.05 K, 95% CI 0.36-1.75) and exercise habits [odds ratio (OR) 2.28, 95% CI 1.30-4.00)]; depression scores (standardized MD -0.16, 95% CI -0.32 to 0.01) and quality of life [Short-Form mental component summary (MD 2.63, 95% CI 0.06-5.20) and physical component summary (MD 1.99, 95% CI 0.83-3.16)]. Effects on medication adherence were synthesized narratively. HBCTR and CBCR were comparably effective. CONCLUSION: In patients with CHD, HBCTR was associated with an increase in functional capacity, physical activity (PA) behaviour, and depression when compared with UC. When HBCTR was compared to CBCR, an equivalent effect on functional capacity, PA behaviour, QoL, medication adherence, smoking behaviour, physiological risk factors, depression, and cardiac-related hospitalization was observed.