This study aimed to explore the internet usage and electronic health literacy (eHL) among adults aged 60 and older with hypertension and to explore the associations between eHL and blood pressure control. A cross-sectional survey was conducted at an out-patient primacy care clinic in the urban city center of Chiang Mai, Thailand. eHL was measured using the eHealth Literacy Scale (eHEALS). Logistic regression was used to identify the association between eHL and blood pressure, adjusting for age and sex as a priori confounders and key sociodemographic factors previously identified in univariable analysis. A total of 110 older adult patients with a history of diagnosed hypertension agreed to participate. The mean age of the participants was 67 years old. Fifty-six participants (50.9%) had used the internet in their lifetime. Among internet users, 37 out of 56 participants (66%) could be classified as having high eHL. However, there was insufficient evidence for associations among internet use, eHL and hypertension control. This result potentially creates new opportunities for eHealth education and interventions. Efforts to produce centralized clear, reliable health information targeting this demographic would be worthwhile to help manage chronic diseases such as hypertension in Thailand in the future.

Background: Multimorbidity, the presence of more than one condition in a single individual, is a global health issue in primary care. Multimorbid patients tend to have a poor quality of life and suffer from a complicated care process. Clinical decision support systems (CDSSs) and telemedicine are the common information and communication technologies that have been used to reduce the complexity of patient management. However, each element of telemedicine and CDSSs is often examined separately and with great variability. Telemedicine has been used for simple patient education as well as more complex consultations and case management. For CDSSs, there is variability in data inputs, intended users, and outputs. Thus, there are several gaps in knowledge about how to integrate CDSSs into telemedicine and to what extent these integrated technological interventions can help improve patient outcomes for those with multimorbidity. Objective: Our aims were to (1) broadly review system designs for CDSSs that have been integrated into each function of telemedicine for multimorbid patients in primary care, (2) summarize the effectiveness of the interventions, and (3) identify gaps in the literature. Methods: An online search for literature was conducted up to November 2021 on PubMed, Embase, CINAHL, and Cochrane. Searching from the reference lists was done to find additional potential studies. The eligibility criterion was that the study focused on the use of CDSSs in telemedicine for patients with multimorbidity in primary care. The system design for the CDSS was extracted based on its software and hardware, source of input, input, tasks, output, and users. Each component was grouped by telemedicine functions: telemonitoring, teleconsultation, tele–case management, and tele-education. Results: Seven experimental studies were included in this review: 3 randomized controlled trials (RCTs) and 4 non-RCTs. The interventions were designed to manage patients with diabetes mellitus, hypertension, polypharmacy, and gestational diabetes mellitus. CDSSs can be used for various telemedicine functions: telemonitoring (eg, feedback), teleconsultation (eg, guideline suggestions, advisory material provisions, and responses to simple queries), tele–case management (eg, sharing information across facilities and teams), and tele-education (eg, patient self-management). However, the structure of CDSSs, such as data input, tasks, output, and intended users or decision-makers, varied. With limited studies examining varying clinical outcomes, there was inconsistent evidence of the clinical effectiveness of the interventions. Conclusions: Telemedicine and CDSSs have a role in supporting patients with multimorbidity. CDSSs can likely be integrated into telehealth services to improve the quality and accessibility of care. However, issues surrounding such interventions need to be further explored. These issues include expanding the spectrum of medical conditions examined; examining tasks of CDSSs, particularly for screening and diagnosis of multiple conditions; and exploring the role of the patient as the direct user of the CDSS.

Current guidelines suggest screening for dyslipidemia in early adulthood. In Thailand, a screening total cholesterol level is most commonly used potentially due to the costs of the test. However, the appropriate TC cut-off point that correlates with elevated low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (Non-HDL-C) levels for the low cardiovascular risk younger population have not been examined extensively in the literature. This study identified 1754 subjects with low cardiovascular risk. All participants had a physical examination and a venous blood sample sent for laboratory assessment of fasting blood glucose, TC, LDL-C, HDL-C levels. A non-HDL-C level for everyone was calculated by subtracting HDL-C levels from their total cholesterol levels. Sensitivity and specificity of different TC cutoff points in detection of abnormal LDL-C levels (≥ 130 mg/dL and ≥ 160 mg/dL) and abnormal non-HDL-C levels (≥ 160 mg/dL and ≥ 190 mg/dL) were calculated. Receiver operating characteristics (ROC) curve analysis was used to evaluate the predictive utility of TC for the abnormal LDL-C and abnormal non-HDL-C levels. The conventional range TC cut off point, between 200 to 240, had varying diagnostic properties for detection of elevated LDL-C and Non-HDL-C within this low risk population. A TC cut off point 210 would have a sensitivity of 70% and specificity of 92.5% for detection of LDL-C ≥ 130 and a sensitivity of 96.7% and specificity of 85.6% for identifying those with Non-HDL-C ≥ 160. The TC cut off point of 230 had a sensitivity of 74.9% and specificity of 92.0% in identifying those with LDL-C ≥ 160 and a sensitivity of 98.6% and specificity of 89.8% in detection of non-HDL-C ≥ 190. Early screening for dyslipidemia in young adults is suggested by many guidelines. This population is likely to be those with lower cardiovascular risk and may needed to have repeated screening over time. Screening using TC with appropriate a cut off points may be a more cost-effective screening test in settings with limited resources, coverage and accessibility.

Background: Patients with chronic obstructive pulmonary disease (COPD) have reduced gait speeds and more frequent falls. We analyzed gait characteristics and fall risk in these patients using video recordings and questionnaires to determine if these patients had any quantitative changes in gait characteristics and to determine if screening for fall risk provided useful information. Methods: Patients with COPD who had participated in pulmonary rehabilitation completed a short history falls and the Activities-Specific Balance Confidence Scale questionnaire. They performed the Get Up and Go Test. Their typical gait was video recorded and analyzed with Dartfish software. Results: Fourteen patients completed this study. The mean age was 69.7 ± 6.0 years, and the mean forced expiratory volume in 1 second was 1.01 ± 0.38 L (36.9% ± 15.6% predicted). Three patients had a history of falls without significant injury. The mean Activities-Specific Balance Confidence Scale score was 91.8 ± 14.9, but the scores ranged from 10 to 100. Patients reported decreased balance confidence when “stepping onto or off an escalator while holding onto parcels.” The mean time in the Get Up and Go Test was 11.9 ± 2.0 seconds. Spatiotemporal parameters of gait included mean step length 0.65 ± 0.6 m, mean double support time 0.36 ± 0.05 seconds, mean double support time ratio 30.4% ± 3.1%, average free walking speed 65.3 ± 6.9 m/min, and number of steps per minute 100.4 ± 8.8. The speed was significantly slower and the double support time was significantly longer when compared with normal values. Conclusions: Most patients had good balance confidence scores. Their gait and balance were qualitatively normal using the Tinetti tools for assessment. Therefore, their risk for falls seems low. They had a reduced step length and increased time spent in double support, changes which might represent subtle adaptations to reduced balance.

Background: Telemedicine is a potential option for caring for older adults with multimorbidity. There is a need to explore the perceptions about telemedicine among older adults with multimorbidity to tailor it to the needs of older adults with multiple chronic conditions. Objective: This study aims to explore the perceptions about telemedicine among older patients with multimorbidity. Methods: A qualitative study was conducted using semistructured interviews. The interview questions examined older adults’ perspectives about telemedicine, including their expectations regarding telemedicine services and the factors that affect its use. Thematic analysis was performed using NVivo (version 12; Lumivero). The study was reported using the Standards for Reporting Qualitative Research guidelines. Results: In total, 29 patients with multimorbidity—21 (72%) female patients and 8 (28%) male patients with a mean age of 69 (SD 10.39) years—were included. Overall, 4 themes and 7 subthemes emerged: theme 1—perceived benefit of telemedicine among older adults with multimorbidities, theme 2—appropriate use of telemedicine for multimorbid care, theme 3—telemedicine system catering to the needs of older patients, and theme 4—respect patients’ decision to decline to use telemedicine. Conclusions: Telemedicine for older adults with multimorbidity should focus on those with stable conditions. This can help increase access to care for those requiring continuous condition monitoring. A structured telemedicine program and patient-centered services can help increase patient acceptance of telemedicine. However, health care providers must accept the limitations of older patients that may prevent them from receiving telemedicine services.

Background: Caregivers play a vital role in caring for the aging population, however the occurrence of violence against the caregiver is an increasing area of concern. This study aimed to investigate the prevalence of violence against the primary caregivers of community dwelling older adults with chronic diseases, and to determine the factors associated with violence and its association with caregiver outcomes. Methods: A cross-sectional study was conducted. HITS questionnaire, the 22-item Zarit Burden Interview and Patient Health Questionnaire-9 were used to assess violence against caregiver, caregiver burden and depression, respectively. Results: Out of 123 caregivers of older adults, the overall prevalence of violence was 28.46%. Independent variables which could be the protective factors for violence against caregiver included higher ADL, older age of caregiver, and being a relative. The patient characteristic that is a potential risk factor for violence against caregiver was having cancer as a principal diagnosis. Statistically significant associations were found between violence and caregiver burden (aOR 4.94, p 0.004) and depression (aOR 7.03, p 0.006). Conclusion: Violence against caregivers of older adults is not uncommon. Experiencing violence was found to be associated with caregiver outcomes including depression and caregiver burden. Therefore, this important issue must not be ignored.