Lack of familiarity and limited digital literacy frequently limit the ability and willingness of older adults to use digital health tools. This study aimed to investigate the factors influencing the intention to use digital health information and services (DHIAS) and their actual use among indigenous Taiwanese older adults, based on the theory of planned behaviour (TPB) and digital health literacy.
Cross-sectional quantitative study using a structured questionnaire.
Community-based settings at the primary care level; 11 cultural health stations located in Eastern Taiwan.
A total of 170 Indigenous elders aged ≥55 years were recruited. Inclusion criteria included: Indigenous descent, aged ≥55 years, cognitively intact and able to communicate in Mandarin. All participants completed the interview-based survey.
The primary outcomes were the intention to use DHIAS and its actual use. Predictors included digital health literacy and TPB constructs. All variables were measured using validated or adapted items within the questionnaire.
The mean score for intention to use DHIAS was 1.50 (SD=0.90) and the mean score for actual behaviour was 1.68 (SD=1.14). Hierarchical regression analyses indicated that subjective norms (β=0.270, p
Digital health literacy and TPB constructs critically influence digital health engagement among older populations. Interventions aimed at improving digital health engagement among older populations should focus on enhancing digital skills and creating socially supportive environments. Future studies should explore culturally tailored strategies to reduce digital disparities in communities with limited healthcare access.
Post-traumatic stress disorder (PTSD) is a heterogeneous psychiatric disorder, with symptom variation between patients.
We describe clinical and demographic characteristics of patients with PTSD based on real-world data.
This non-interventional, retrospective cohort study analysed de-identified electronic health records of patients from the Holmusk NeuroBlu database in the USA. Patients with ≥2 PTSD diagnoses captured in the database within 30 days between 2001 and 2020 were included. The index date was defined as the date of the first recorded PTSD diagnosis. In patients who were aged ≥18 years, demographic and clinical characteristics at baseline (index date ±14 days), in the 6 months prior to baseline and 12 months after baseline were described. Patients were stratified into four mutually exclusive subgroups according to treatment received: psychotherapy only, pharmacotherapy only, psychotherapy and pharmacotherapy, and untreated. Natural language processing models were used to derive PTSD symptoms from unstructured clinician-documented mental state examination data. Data were analysed descriptively.
A total of 37,449 patients had ≥2 PTSD diagnoses within 30 days between 2001 and 2020; 32,875 patients received care at clinical sites with both inpatient/outpatient units; 25,507 patients received psychotherapy and/or pharmacotherapy as per further prespecified criteria, and 17,234 were ≥18 years old and included in this analysis. Most patients (84.9%) received psychotherapy, pharmacotherapy or both during the first year post-baseline. Mean age (SD) was 37.7 (12.4) years, 73.4% of patients were female and 59.6% were White. At baseline, 98% of patients had ≥1 psychiatric comorbidity; major depressive disorder (42.2%), substance use disorder (35%) and anxiety disorder (30.7%) were most frequently reported. Reported suicidal ideation/attempts were most frequent in the pharmacotherapy only group compared with other subgroups at baseline. The most frequently prescribed drug classes were antidepressants (51.8%), second-generation antipsychotics (29.9%) and anxiolytics (23.3%) at baseline. Trazodone, clonazepam, quetiapine and sertraline were the most frequently prescribed medications.
In the overall study population, most patients were female, with a high prevalence of psychiatric comorbidities. Demographic and clinical characteristics observed in this study varied across treatment subgroups. These insights may support patient-specific treatment planning and inform health-economic decision models in PTSD.
This review aims to map oral health plans, programmes and policies worldwide in countries with universal health coverage.
This protocol describes a scoping review that will follow the Joanna Briggs Institute methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review checklist, guided by the PCC framework: Population—countries with universal health coverage (78 globally recognised); Concept—oral health plans, programmes and policies; Context—integration into health systems. Searches will be conducted in MEDLINE (PubMed), Scopus, Web of Science, Embase, Health System Evidence and Epistemonikos, with no restrictions on date, language or study type. Grey literature will be accessed through Google Scholar, OpenThesis and the Brazilian Digital Library of Theses and Dissertations. Official documents from ministries of health and international bodies, including the WHO and the International Monetary Fund, will also be reviewed. Two independent reviewers will screen titles and abstracts; a third will resolve disagreements. Eligible records will undergo full-text review. Data will be extracted into predefined categories reflecting health system components: population, structure, services, governance and oral health indicators. Results will be presented using tables, charts and figures to illustrate strategies and innovations.
This review does not involve primary data collection and does not require ethical approval. Results will be disseminated through a peer-reviewed publication and presentations at academic conferences and scientific events.
Open Science Framework (DOI 10.17605/OSF.IO/RCP8N).