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  1. Fulltext Elements Influencing User Engagement in Social Media Posts on Lifestyle Risk Factors: Systematic Review
    Yip YY, Makmor-Bakry M, Chong WW
    J Med Internet Res, 2024 Nov 22;26:e59742.
    PMID: 39576982 DOI: 10.2196/59742
    BACKGROUND: The high prevalence of noncommunicable diseases and the growing importance of social media have prompted health care professionals (HCPs) to use social media to deliver health information aimed at reducing lifestyle risk factors. Previous studies have acknowledged that the identification of elements that influence user engagement metrics could help HCPs in creating engaging posts toward effective health promotion on social media. Nevertheless, few studies have attempted to comprehensively identify a list of elements in social media posts that could influence user engagement metrics.

    OBJECTIVE: This systematic review aimed to identify elements influencing user engagement metrics in social media posts by HCPs aimed to reduce lifestyle risk factors.

    METHODS: Relevant studies in English, published between January 2006 and June 2023 were identified from MEDLINE or OVID, Scopus, Web of Science, and CINAHL databases. Included studies were those that examined social media posts by HCPs aimed at reducing the 4 key lifestyle risk factors. Additionally, the studies also outlined elements in social media posts that influenced user engagement metrics. The titles, abstracts, and full papers were screened and reviewed for eligibility. Following data extraction, narrative synthesis was performed. All investigated elements in the included studies were categorized. The elements in social media posts that influenced user engagement metrics were identified.

    RESULTS: A total of 19 studies were included in this review. Investigated elements were grouped into 9 categories, with 35 elements found to influence user engagement. The 3 predominant categories of elements influencing user engagement were communication using supportive or emotive elements, communication aimed toward behavioral changes, and the appearance of posts. In contrast, the source of post content, social media platform, and timing of post had less than 3 studies with elements influencing user engagement.

    CONCLUSIONS: Findings demonstrated that supportive or emotive communication toward behavioral changes and post appearance could increase postlevel interactions, indicating a favorable response from the users toward posts made by HCPs. As social media continues to evolve, these elements should be constantly evaluated through further research.

  2. Duration of Referral-to-Death and its Associated Factors Among Cancer and Noncancer Patients: Retrospective Cohort Study of a Community Palliative Care Setting in Malaysia
    Yip YY, Hwong WY, McCarthy SA, Hassan Chin AA, Woon YL
    J Palliat Care, 2023 Apr;38(2):111-125.
    PMID: 36464769 DOI: 10.1177/08258597221143195
    Background: Addressing timely community palliative care integration is prioritized due to the increased burden of noncommunicable diseases. Objectives: To compare referral-to-death duration among palliative cancer and noncancer patients and to determine its associated factors in a Malaysian community palliative care center. Methods: This retrospective cohort study included decedents referred to a Malaysian community palliative care center between January 2017 and December 2019. Referral-to-death is the interval between the date of community palliative care referral and to date of death. Besides descriptive analyses, negative binomial regression analyses were conducted to identify factors associated with referral-to-death among both groups. Results: Of 4346 patients referred, 86.7% (n  =  3766) and 13.3% (n  =  580) had primary diagnoses of cancer and noncancer respectively. Median referral-to-death was 32 days (interquartile range [IQR]: 12-81) among cancer patients and 19 days (IQR: 7-78) among noncancer patients. The shortest referral-to-death among cancer patients was for liver cancer (median: 22 days; IQR: 8-58.5). Noncancer patients with dementia, heart failure, and multisystem organ failure had the shortest referral-to-death at 14 days. Among cancer patients, longer referral-to-death was associated with women compared to men (IRR: 1.26; 95% CI: 1.16-1.36) and patients 80 to 94 years old compared to those below 50 years old (IRR: 1.19; 95% CI: 1.02-1.38). Cancer patients with analgesics prescribed before or upon referral had 29% fewer palliative care days compared to no prescribing analgesics. In contrast, noncancer patients 50 to 64 years old had shorter referral-to-death compared to those below 50 years old (IRR: 0.51; 95% CI: 0.28-0.91). Conclusion: Shorter referral-to-death among noncancer patients indicated possible access inequities with delayed community palliative care integration. Factors associated with referral-to-death are considered in developing targeted approaches ensuring timely and equitable community palliative care.
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