OBJECTIVE: This scientometric investigation aims to examine collaborative research networks, dominant research themes and disciplines, and seminal research studies that have contributed most to the field of telemedicine. This information is vital for scientists, institutions, and policy stakeholders to evaluate research areas where more infrastructural or scholarly contributions are required.
METHODS: For analyses, we used CiteSpace (version 4.0 R5; Drexel University), which is a Java-based software that allows scientometric analysis, especially visualization of collaborative networks and research themes in a specific field.
RESULTS: We found that scholarly activity has experienced a significant increase in the last decade. Most important works were conducted by institutions located in high-income countries. A discipline-specific shift from radiology to telestroke, teledermatology, telepsychiatry, and primary care was observed. The most important innovations that yielded a collaborative influence were reported in the following medical disciplines, in descending order: public environmental and occupational health, psychiatry, pediatrics, health policy and services, nursing, rehabilitation, radiology, pharmacology, surgery, respiratory medicine, neurosciences, obstetrics, and geriatrics.
CONCLUSIONS: Despite a continuous rise in scholarly activity in telemedicine, we noticed several gaps in the literature. For instance, all the primary and secondary research central to telemedicine was conducted in the context of high-income countries, including the evidence synthesis approaches that pertained to implementation aspects of telemedicine. Furthermore, the research landscape and implementation of telemedicine infrastructure are expected to see exponential progress during and after the COVID-19 era.
METHODS: A total of 436 physicians at two major university medical centers in Kuala Lumpur, Malaysia, completed an online survey. Sociodemographic characteristics, stigma-related constructs, and intentions to discriminate against transgender people were measured. Bivariate and multivariate linear regression were used to evaluate independent covariates of discrimination intent.
RESULTS: Medical doctors who felt more fearful of transgender people and more personal shame associated with transgender people expressed greater intention to discriminate against transgender people, whereas doctors who endorsed the belief that transgender people deserve good care reported lower discrimination intent. Stigma-related constructs accounted for 42% of the variance and 8% was accounted for by sociodemographic characteristics.
CONCLUSIONS: Constructs associated with transgender stigma play an important role in medical doctors' intentions to discriminate against transgender patients. Development of interventions to improve medical doctors' knowledge about and attitudes toward transgender people are necessary to reduce discriminatory intent in healthcare settings.
METHODS: This study used a descriptive qualitative study design. Interviews were conducted using a semistructured interview guide developed based on the theoretical domains framework. Nine in-depth interviews and three focus group discussions were conducted with patients with type 2 diabetes who have been advised to start insulin or were currently using insulin and those who had been seeking diabetes treatment in the clinic for more than 1 year. Interviews were conducted after the participants were familiarized with the PDA. Data were analysed using a thematic approach.
RESULTS: Five themes emerged from the data analysis: (a) trust in the physician (patients preferred physicians to other health care providers in delivering the insulin PDA to them as they trusted physicians more when it comes to making decisions such as starting insulin), (b) physician's attitude (patients were more likely to trust a physician who is friendly and sympathetic hence would be more willing to use the insulin PDA), (c) physician's communication style (patients were more willing to use the insulin PDA if the physicians would take time and guide them in the PDA use), (d) conducive environment (patients preferred to read the PDA at home), and (e) cost (patients would not be willing to pay to use the insulin PDA unless they needed it).
CONCLUSIONS: Patients want physicians to play a major role in the implementation of the insulin PDA; physicians' communication style and commitment may influence implementation outcomes. Health care authorities need to create a conducive environment and provide patients with free access to PDA to promote effective implementation.