Association between using social media WeChat and depressive symptoms among middle-aged and older people: findings from a national survey.

OBJECTIVES: We aimed to assess the characteristics and health status of a study sample using social media WeChat and to identify the association between social media usage and depressive symptoms among people aged 45 and older in China. METHODS: Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS). Depressive symptoms were measured by the 10-item form of the Center for Epidemiologic Studies Depression Scale (CES-D-10). The propensity score matching method (PSM) was performed to balance the characteristics of WeChat users and non-WeChat users. Multilevel logistic regression was used to test the association between the incidence of depressive symptoms and WeChat usage by introducing covariates step by step. Sensitivity analysis was conducted to estimate the robustness of the primary findings. RESULTS: A total of 5415 matching cases out of 11,338 total sample were used in this study to generate the final analysis. A multilevel logistic regression model showed that a significantly lower incidence of depression was related to WeChat usage after adjusting for all possible covariates (OR: 0.76, 95% CI: 0.62-0.94). The most popular WeChat functions used by the study population were watching news (80.4%), posting Moment messages (75.5%), chatting with friends (66.0%), and watching videos (65.2%). The sensitivity analysis yielded similar findings to the primary analyses. CONCLUSIONS: Using social media WeChat showed an association with lower depressive symptoms among people aged ≥45 and older in our study sample. Further studies need to be explored on the promotion and education of social media WeChat usage, targeting the improvement of mental health-related issues through social network connections.

Effects of early preventive dental visits and its associations with dental caries experience: a cross-sectional study.

OBJECTIVES: Limited information is known about preventive dental visits (PDVs) before seven years of age among children in China. This study aimed to examine the early PDV rate, identify the impact of PDV on dental caries and untreated dental caries, and explore the factors related to PDV among Chinese sampled children under seven years old. METHODS: A cross-sectional survey was conducted in five selected primary health care facilities in Chengdu, China, from May to August 2021. Parent-child dyads during regular systematic medical management were recruited to participate. Children's dental caries were identified through dental examinations and documented as decayed, missing and filled teeth index (dmft) by trained primary care physicians. Dental-related information was collected through a questionnaire. Zero-inflated negative binomial (ZINB) regression was used to test the effect of early PDV on the dmft value, and logistic regression was used to analyse impact factors on the early PDV. RESULTS: A total of 2028 out of 2377 parent-child dyads were qualified for analysis. Half of the children (50.4%) were male, with a mean age of 4.8 years. Among all the children, 12.1% had their first dental visit for preventive purposes, 34.4% had their first dental visit for symptomatic purposes, and more than half had never visited a dentist. The results showed that a lower dmft value (adjusted OR: 0.69, 95% CI: 0.48-0.84), a higher rate of caries-free (aOR: 6.5, 95% CI: 3.93-10.58), and a lower rate of untreated dental caries (aOR: 0.40, 95% CI: 0.21-0.76) were associated with early PDV utilization. Children who had a higher rate of PDV were positively associated with living in a family with better parental behaviours (aOR: 2.30, 95% CI: 1.71-3.08), better parental oral health perception (aOR: 1.23, 95% CI: 1.06-1.32), fathers who had no untreated caries (aOR: 0.68, 95% CI: 0.47-0.97), families with higher socioeconomic status (aOR: 1.09, 95% CI: 1.04-1.16), and dental health advice received from well-child care physicians (aOR: 1.47, 95% CI: 1.08-2.00). CONCLUSIONS: Early PDV was associated with a lower rate of dental caries prevalence and untreated dental caries among sampled children younger than seven in Western China. Underutilization and social inequities existed in PDV utilization. Public health strategies should be developed to increase preventive dental visits and eliminate social disparities that prevent dental care utilization.

An innovative medical consultation model in mainland China.

PURPOSE: The purposes of this paper are two-fold: first, to introduce a new concept of primary care consultation system at a mainland Chinese hospital in response to healthcare reform; and second, to explore the factors associated with change resistance and acceptance from both patients' and medical staff's perspectives. DESIGN/METHODOLOGY/APPROACH: A survey design study, with two questionnaires developed and distributed to patients and medical staff. Convenience and stratified random sampling methods were applied to patient and medical staff samples. FINDINGS: A 5-dimension, 21-item patient questionnaire and a 4-dimension, 16-item staff questionnaire were identified and confirmed, with 1020 patients (91.07 percent) and 202 staff (90.18 percent) as effective survey participants. The results revealed that patient resistance mainly stems from a lack of personal experiences with visiting general practice (GP) and being educated or having lived overseas; while staff resistance came from occupation, education, GP training certificate, and knowledge and experience with specialists. Living in overseas and knowledge of GP concepts, gender and education are associated with resistance of accepting the new practice model for both patients and staff. ORIGINALITY/VALUE: There are few Chinese studies on process reengineering in the medical sector; this is the first study to adopt this medical consultation model and change in patients' consultation culture in Mainland China. Applying organizational change and process reengineering theories to medical and healthcare services not only extends and expands hospital management theory but also allows investigation of modern hospital management practice. The experience from this study can serve as a reference to promote this new consultation model in Chinese healthcare reform.

Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.

BACKGROUND: To improve and learn from patient outcomes, particularly under new care models such as Accountable Care Organizations and Patient-Centered Medical Homes, requires establishing systems for follow-up and feedback. OBJECTIVE: To provide post-visit feedback to physicians on patient outcomes following acute care visits. DESIGN: A three-phase cross-sectional study [live follow-up call three weeks after acute care visits (baseline), one week post-visit live call, and one week post-visit interactive voice response system (IVRS) call] with three patient cohorts was conducted. A family medicine clinic and an HIV clinic participated in all three phases, and a cerebral palsy clinic participated in the first two phases. Patients answered questions about symptom improvement, medication problems, and interactions with the healthcare system. PATIENTS: A total of 616 patients were included: 142 from Phase 1, 352 from Phase 2 and 122 from Phase 3. MAIN MEASURES: Primary outcomes included: problem resolution, provider satisfaction with the system, and comparison of IVRS with live calls made by research staff. KEY RESULTS: During both live follow-up phases, at least 96% of patients who were reached completed the call compared to only 48% for the IVRS phase. At baseline, 98 of 113 (88%) patients reported improvement, as well as 167 of 196 (85%) in the live one-week follow-up. In the one-week IVRS phase, 25 of 39 (64%) reported improvement. In all phases, the majority of patients in both the improved and unimproved groups had not contacted their provider or another provider. While 63% of providers stated they wanted to receive patient feedback, they varied in the extent to which they used the feedback reports. CONCLUSIONS: Many patients who do not improve as expected do not take action to further address unresolved problems. Systematic follow-up/feedback mechanisms can potentially identify and connect such patients to needed care.

Privacy and Security Risk Factors Related to Telehealth Services - A Systematic Review.

The objective of the study is to identify challenges and associated factors for privacy and security related to telehealth visits during the COVID-19 pandemic. The systematic search strategy used the databases of PubMed, ScienceDirect, ProQuest, Embase, CINAHL, and COCHRANE, with the search terms of telehealth/telemedicine, privacy, security, and confidentiality. Reviews included peer-reviewed empirical studies conducted from January 2020 to February 2022. Studies conducted outside of the US, non-empirical, and non-telehealth related were excluded. Eighteen studies were included in the final analysis. Three risk factors associated with privacy and security in telehealth practice included: environmental factors (lack of private space for vulnerable populations, difficulty sharing sensitive health information remotely), technology factors (data security issues, limited access to the internet, and technology), and operational factors (reimbursement, payer denials, technology accessibility, training, and education). Findings from this study can assist governments, policymakers, and healthcare organizations in developing best practices in telehealth privacy and security strategies.

Effect of the COVID-19 Mitigation Measure on Dental Care Needs in 17 Countries: A Regression Discontinuity Analysis.

Objectives: The effect of COVID-19 mitigation measures on different oral health care needs is unclear. This study aimed to estimate the effect of COVID-19 mitigation measures on different types of oral health care utilization needs and explore the heterogeneity of such effects in different countries by using real-time Internet search data. Methods: Data were obtained from Google Trends and other public databases. The monthly relative search volume (RSV) of the search topics "toothache," "gingivitis," "dentures," "orthodontics," and "mouth ulcer" from January 2004 to June 2021 was collected for analysis. The RSV value of each topics before and after COVID-19 was the primary outcome, which was estimated by regression discontinuity analysis (RD). The effect bandwidth time after the COVID-19 outbreak was estimated by the data-driven optimal mean square error bandwidth method. Effect heterogeneity of COVID-19 on dental care was also evaluated in different dental care categories and in countries with different human development index (HDI) rankings, dentist densities, and population age structures. Results: A total of 17,850 monthly RSV from 17 countries were used for analysis. The RD results indicated that advanced dental care was significantly decreased (OR: 0.63, 95% CI: 0.47-0.85) after the COVID-19 outbreak, while emergency dental care toothache was significantly increased (OR: 1.54, 95% CI: 0.99-2.37) 4 months after the COVID-19 outbreak. Compared to the countries with low HDI and low dentist density, the effect was much more evident in countries with high HDI and high dentist density. Conclusions: COVID-19 mitigation measures have different effects on people with various dental care needs worldwide. Dental care services should be defined into essential care and advanced care according to specific socioeconomic status in different countries. Targeted health strategies should be conducted to satisfy different dental care needs in countries.

Prediction model for early childhood caries risk based on behavioral determinants using a machine learning algorithm.

BACKGROUND: An easily accessible caries risk prediction model (CRPM) based on nonbiological predictors is lacking. Developing a CRPM for community screening is essential for children's dental health promotion by a public health approach. OBJECTIVE: This study aimed to develop and validate a caries risk prediction model (CRPM) for children using a machine learning algorithm based on dental care behavioral factors and other nonbiological factors using a 3-month multicenter cohort. METHODS: Children aged 12 months to 60 months were recruited at three primary care settings and three kindergartens in Chengdu, China. Dental examination was conducted for all enrolled children by calibrated pediatric dentists at baseline and three months later. All parents of the enrolled children were asked to complete a questionnaire with dental-related information. Machine learning algorithms, including random forest, logistic regression, and adaptive boosting, were used to develop a prediction model. Sensitivity, specificity, accuracy, precision, negative predictive value and F-score were reported to estimate the internal validation of the models. RESULTS: A total of 481 out of 745 children without a history of caries experience at baseline remained for analysis. In the total sample population, 236 (49.1%) children were female, and the mean age was 31.2 months. During the follow-up exams, 66 (13.6%) children had new-onset caries. The child's age, height, weight, family caries status, brush teeth two minutes per time, fluoride toothpaste usage, brushing twice per day, parental monitoring brushing teeth, mother delivery method, brushing child's teeth every day, child number counts, and night feeding frequency in the last month were measured and included in a prediction model. Of the prediction models, the highest area under the curve of RF was 0.91 (95% CI: 0.87- 0.94), followed by 0.86 (95% CI: 0.81-0.91) of LR and 0.81 (95% CI: 0.76-0.86) of AdaBoost. CONCLUSION: In this CRPM, new onset of dental caries in three months among children aged < 60 months could be predicted by answering twelve nonbiological questions. A good model performance was shown within the internal validation. Dental home care could be improved by referring the CRPM result before new caries onset.

Caries Risk Assessment and Dental Referral by Paediatric Primary Care Physicians in Sichuan Province, China: A Cross-Sectional Study.

Background: Limited information is known about dental implementation by pediatric primary care physicians (PCPs) at the primary care level in China. This study aimed to explore the current status of primary oral care implementation and related influencing factors. Methods: A cross-sectional survey was conducted among PCPs in Sichuan Province, China. Multivariable logistic regression was used to analyse factors associated with CRA and dental referral for high caries-risk children. Results: A total of 504 out of 524 questionnaires remained for analysis. In all, 93.8% of PCPs reported that they usually or sometimes performed dental screening for children, 31.3% performed CRA, and 49.0% referred high caries-risk children to dentists. More CRA activities were associated with PCPs who encountered a greater number of children with caries during systematic care (adjusted OR: 2.37, 95% CI:[1.08,5.18], had dental knowledge training by pediatric dentists (aOR: 2.26, 95% CI:[1.36, 3.75], and learned pediatric dental knowledge on their own (aOR: 2.87, 95% CI: [1.51, 5.45]). In addition to the above associators, a higher rate of dental referrals for high caries-risk children was associated with having a dental department in the same work institute (aOR: 1.72, 95% CI: [1.09, 2.70] and having more confidence in their dental knowledge (aOR: 1.29, 95% CI: [1.04, 1.61]). Conclusion: Paediatric PCPs commonly implement dental screening but perform fewer CRAs and dental referrals for high caries-risk children during systematic health management in western China. To increase CRA activities and dental referral by paediatric PCPs, health policymakers could encourage interdisciplinary cooperation between dental professionals and paediatric PCPs.

Building Best Practices for Telehealth Record Documentation in the COVID-19 Pandemic.

Telehealth services for patient visits have substantially surged during the COVID-19 pandemic. Thus, there is increased importance and demand for high-quality telehealth clinical documentation. However, little is known about how clinical data documentation is collected and the quality of data items included. This study aimed to identify the current state of and gaps in documentation and develop a best practice strategy for telehealth record documentation. Data were collected from January to February 2021 via a self-designed questionnaire for administrators and managers from physicians' offices and mental health facilities, resulting in 76 valid responses. Survey items included health organization demographic information, use of telehealth policies and procedures, and clinical documentation for telehealth patient visits. Findings from this study can be used to assist government, policymakers, and healthcare organizations in developing best practices in telehealth usage and clinical documentation improvement strategies.

Patient clinical documentation in telehealth environment: are we collecting appropriate and sufficient information for best practice?

BACKGROUND: During the COVID-19 pandemic, the use of telehealth for patient visits grew rapidly and served an important role as a valuable and necessary resource. Although clinical documentation is critical for telehealth patient visits, there is limited information about how healthcare facilities manage telehealth patient visit documentation, technology used for telehealth visits, and challenges encountered with telehealth patient visit documentation. This study aimed to assess the use of telehealth during the pandemic, the quality of clinical documentation in telehealth practice and to identify challenges and issues encountered with telehealth patient visits in order to develop a strategy for best practices for telehealth documentation and data management. METHODS: Data were collected for this cross-sectional study in January-February 2021 via a self-designed survey of administrators/managers from physicians' offices and mental health facilities. Survey questions included four categories: health organization demographic information; telehealth visits; clinical documentation for telehealth visit; and challenges and barriers related to telehealth documentation technology use. RESULTS: Of 76 respondents, more than half (62%) of the healthcare facilities started using telehealth for patient visits within one year of the onset of the COVID-19 pandemic, with 94% of respondents indicating an increased use of telehealth for patient visits since the pandemic. The most common types of telehealth patient care provided during the pandemic included pediatrics, primary care, cardiology, and women's health. The most consistent data documentation of telehealth visits included: date of service, patient identification number, communication methods, patient informed consent, diagnosis and impression, evaluation results, and recommendations. The telehealth visit data was most commonly used for patient care and clinical practice, billing and reimbursement, quality improvement and patient satisfaction, and administrative planning. The top barriers to telehealth use by the healthcare professionals included patient challenges with telehealth services, such as inequities in quality of technology, lack of patient understanding, and lack of patient satisfaction; this was followed by frustration with constant updates of telehealth guidelines and procedures, understanding required telehealth documentation for reimbursement purposes, payer denial for telehealth visits, and legal and risk issues. CONCLUSIONS: Findings from this study can assist government entities, policymakers, and healthcare organizations in developing and advocating best practices in telehealth usage and clinical documentation improvement strategies.

Overcoming Challenges of Merging Multiple Patient Identification and Matching Systems: A Case Study.

Northeast Alabama Regional Medical Center (RMC) in Anniston, Alabama purchased a smaller hospital in 2017. Staff at the two hospitals were tasked with merging the two Electronic Medical Record (EMR) systems into one unified system. From the outset, there were two systems with different medical record number specifications and patient identification systems as well as two different patient name parameters. The merging of these records and systems meant dealing with different vendor EMR systems and ancillary systems to produce a single unified record within RMC's EMR and the document imaging system that housed the legal medical record for each patient. This case study describes the process and procedures of merging the patient records from both hospitals to create one Enterprise Master Patient Index (EMPI); and the collaboration between the Health Information Management and Information Technology departments to accomplish this goal. It also reviews the impact and challenges related to the system's development, as well as lessons learned while completing the project.

Exploring Cancer Registrars' Perceptions of the Quality and Use of Cancer Registry Data for Care Coordination and Other Purposes.

BACKGROUND: Hospital cancer registry data are used for a variety of aspects of patient care, yet one of the lesser used purposes of cancer registry data is to improve care coordination. OBJECTIVES: The purposes of this study were to assess hospital cancer registrars' perceptions of (1) the use of and quality of hospital cancer registry data for care coordination and other purposes; (2) the availability of all needed data for complete hospital cancer registry data collection; and (3) the data collection of COVID-19 effects on cancer patients. METHODS: A survey was sent to hospital-based members of Cancer Registrars of Illinois between April and June 2020. Survey questions focused on current use and quality of hospital cancer registry data for care coordination as well as items related to COVID-19's effect on cancer patients. The focus of this study was hospital-based registrars, as they are the individuals collecting data directly from primary patient records. RESULTS: While hospital cancer registry data are being used for many purposes including continuity of care, this study found that providers are not using hospital cancer registry data to its fullest extent. It was also found that hospital cancer registrars have collected valuable data on the impact that COVID-19 has had on cancer patients. CONCLUSION: Care coordination between providers is especially important for cancer patients who may see multiple providers and visit several facilities. This study found that the hospital cancer registry database contains extremely useful data for cancer patients and practitioners. Further, it was found that the hospital cancer registry is a source of valuable information regarding the impact that COVID-19 has had on cancer patients.

Population Health: Identifying Skill Sets and Education Alignment for HIM Professionals.

The COVID-19 pandemic has increased the emphasis on population health, therefore potentially amplifying demand for healthcare workforce professionals in this area. There is an urgent need to explore and define the roles of health information management (HIM) professionals in the population health workforce. This study sought to identify the skill sets and qualifications needed, and HIM education alignment with skills necessary for HIM professionals entering the population health workforce. An intentionally broad internet search of job postings was conducted to determine skills in population health. Population health-related job descriptions and qualification requirements were abstracted and analyzed using ATLAS.ti. Three common job categories were identified: management, analytics, and coding. Skill set requirements included soft skills, problem solving, project management, research, and data analysis. The study results identified HIM educational alignment and found that HIM professionals are generally a good fit to meet the increased need in the population health workforce.

Hospital Characteristics Associated with Certified EHR Adoption among US Psychiatric Hospitals.

OBJECTIVE: The aim of this study was to explore the relationship between hospital characteristics and certified electronic health record (EHR) adoption in psychiatric hospitals in the US. METHODS: Data were drawn from the American Hospital Association Annual Survey Database and the Centers for Medicare and Medicaid Services Hospital Compare data sets in 2016. Binary logistic regression analysis and χ 2 tests were performed to examine the relationship between certified EHR adoption and hospital characteristics. RESULTS: Of 1,059 psychiatric hospitals in the US, 502 (47.4%) have adopted certified EHR technology. Large hospitals (OR 2.29, 95% CI 1.52-3.44; p<0.001), not-for-profit hospitals (OR 1.74, 95% CI 1.22-2.49; p=0.008), and hospitals participating in a network (OR 1.78, 95% CI 1.34-2.37; p<0.001) were more likely to adopt certified EHRs. Hospitals in the northeast were less likely to implement certified EHRs compared to other regions. However, there was no significant association found between EHR utilization and system affiliation, urban location, teaching status, or participation of health-maintenance organizations and preferred provider organizations. CONCLUSION: The study results suggested variations in EHR adoption according to hospital location, size, ownership, and network participation. This study fills a gap in previous work on certified EHR adoption that focused exclusively on general hospitals, but overlooked psychiatric hospitals. Future policies designed to influence the implementation of certified EHRs should take into consideration how hospital size, ownership, and network-affiliation status affect certified EHR adoption among psychiatric hospitals.

Exploring association between certified EHRs adoption and patient experience in U.S. psychiatric hospitals.

OBJECTIVE: Certified Electronic Health Records (EHR) have been shown to improve the health service quality in some health settings, but there is scant evidence related to its adoption in psychiatric hospitals. This paper aimed to examine the relationship between certified EHR adoption and patient experience across psychiatric hospitals in the United States. METHODS: A cross-sectional study design compared the difference in patient experience measures between psychiatric hospitals with and without certified EHR. Data were drawn from the American Hospital Association (AHA) Annual Survey Database and Hospital Compare datasets. Eleven publicly reported measures for patient experience from the Consumer Assessment of Healthcare Providers and Systems Hospital Survey (HCAHPS) were applied for analysis. Independent relationship of certified EHR adoption and patient experience was explored with multiple linear regression models adjusted for hospital organizational characteristics. RESULTS: Positive associations were identified between certified EHR adoption and five patient perception measures-"recommend hospital" (ß = 0.66, 95% CI = [0.16,1.16]; t = 2.68, p = 0.010), "overall hospital rating" (ß = 0.39, 95% CI = [0.03,0.75]; t = 2.11, p = 0.035), "discharge information" (ß = 0.45, 95% CI = [0.03,0.86]; t = 2.09, p = 0.037), "care transition" (ß = 0.44, 95% CI = [0.14, 0.75]; t = 2.84, p = 0.005), and "responsiveness of hospital staff" (ß = 0.47, 95% CI = [0.04, 0.90]; t = 2.13, p = 0.033). CONCLUSION: Our results suggest the positive association between certified EHR adoption and patient experience. More studies are needed to explore impacts of certified EHR adoption and potential improvement in patient experience to quality of care.