Assessment of Personal Health Care Management and Chronic Disease Prevalence: Comparative Analysis of Demographic, Socioeconomic, and Health-Related Variables.

BACKGROUND: The use of personal health care management (PHM) is increasing rapidly within the United States because of implementation of health technology across the health care continuum and increased regulatory requirements for health care providers and organizations promoting the use of PHM, particularly the use of text messaging (short message service), Web-based scheduling, and Web-based requests for prescription renewals. Limited research has been conducted comparing PHM use across groups based on chronic conditions. OBJECTIVE: This study aimed to describe the overall utilization of PHM and compare individual characteristics associated with PHM in groups with no reported chronic conditions, with 1 chronic condition, and with 2 or more such conditions. METHODS: Datasets drawn from the National Health Interview Survey were analyzed using multiple logistic regression to determine the level of PHM use in relation to demographic, socioeconomic, or health-related factors. Data from 47,814 individuals were analyzed using logistic regression. RESULTS: Approximately 12.19% (5737/47,814) of respondents reported using PHM, but higher rates of use were reported by individuals with higher levels of education and income. The overall rate of PHM remained stable between 2009 and 2014, despite increased focus on the promotion of patient engagement initiatives. Demographic factors predictive of PHM use included people who were younger, non-Hispanic, and who lived in the western region of the United States. There were also differences in PHM use based on socioeconomic factors. Respondents with college-level education were over 2.5 times more likely to use PHM than respondents without college-level education. Health-related factors were also predictive of PHM use. Individuals with health insurance and a usual place for health care were more likely to use PHM than individuals with no health insurance and no usual place for health care. Individuals reporting a single chronic condition or multiple chronic conditions reported slightly higher levels of PHM use than individuals reporting no chronic conditions. Individuals with no chronic conditions who did not experience barriers to accessing health care were more likely to use PHM than individuals with 1 or more chronic conditions. CONCLUSIONS: The findings of this study illustrated the disparities in PHM use based on the number of chronic conditions and that multiple factors influence the use of PHM, including economics and education. These findings provide evidence of the challenge associated with engaging patients using electronic health information as the health care industry continues to evolve.

The value of structured data elements from electronic health records for identifying subjects for primary care clinical trials.

BACKGROUND: An increasing number of clinical trials are conducted in primary care settings. Making better use of existing data in the electronic health records to identify eligible subjects can improve efficiency of such studies. Our study aims to quantify the proportion of eligibility criteria that can be addressed with data in electronic health records and to compare the content of eligibility criteria in primary care with previous work. METHODS: Eligibility criteria were extracted from primary care studies downloaded from the UK Clinical Research Network Study Portfolio. Criteria were broken into elemental statements. Two expert independent raters classified each statement based on whether or not structured data items in the electronic health record can be used to determine if the statement was true for a specific patient. Disagreements in classification were discussed until 100 % agreement was reached. Statements were also classified based on content and the percentages of each category were compared to two similar studies reported in the literature. RESULTS: Eligibility criteria were retrieved from 228 studies and decomposed into 2619 criteria elemental statements. 74 % of the criteria elemental statements were considered likely associated with structured data in an electronic health record. 79 % of the studies had at least 60 % of their criteria statements addressable with structured data likely to be present in an electronic health record. Based on clinical content, most frequent categories were: "disease, symptom, and sign", "therapy or surgery", and "medication" (36 %, 13 %, and 10 % of total criteria statements respectively). We also identified new criteria categories related to provider and caregiver attributes (2.6 % and 1 % of total criteria statements respectively). CONCLUSIONS: Electronic health records readily contain much of the data needed to assess patients' eligibility for clinical trials enrollment. Eligibility criteria content categories identified by our study can be incorporated as data elements in electronic health records to facilitate their integration with clinical trial management systems.

Does initial length of stay impact 30-day readmission risk in pediatric asthma patients?

OBJECTIVES: Accountable care puts pressure on hospitals to manage care episodes. Initial length of stay (ILOS) and readmission risk are important elements of a care episode and measures of care quality. Understanding the association between these two measures can guide hospital efforts in managing care episodes. This study was designed to explore the association between ILOS and readmission risk in a cohort of pediatric asthma patients. MATERIALS AND METHODS: The sample cohort (n = 4965) consisted of all asthma patients discharged from Children's Hospitals and Clinics of Minnesota (CHC MN) from January 2008 through August 2012. Asthma discharges included cases with a principal diagnosis of asthma or certain respiratory cases with asthma listed as a secondary diagnosis. Multiple logistic regression was used to test associations, adjusting for covariates. RESULTS: Adjusting for covariates, we found no significant association between ILOS and readmission (OR: 1.04 [95% CI: 0.98-1.10]). Analyzing ILOS categorically by length of stay, one-day stays did not have a significantly higher readmission risk (OR:1.27 [95% CI: 0.87-1.85]) than two-day stays, which had the lowest observed readmission risk. Risk increased as ILOS exceeded two days but was not significantly different by day. We found no association when comparing the difference in actual versus expected ILOS and readmission risk (shorter than expected OR: 1.13 [95% CI: 0.74-1.71]; longer than expected OR: 0.97 [95% CI: 0.69-1.38]). CONCLUSIONS: Attempts to prolong ILOS would dramatically increase costs with little impact on readmissions. For example, increasing one-day visits to two-day visits would increase hospital patient days 38% (1870 d) in this cohort while decreasing total readmissions by 3.8% [95% CI: 3.6-4.0%]. Understanding the mechanisms that impact readmissions is essential in evaluating cost-effective approaches to improving patient outcomes and lowering the cost of care.

Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model.

BACKGROUND: One of the most important factors for the success of health information technology (IT) implementation is users' acceptance and use of that technology. Thailand has implemented the national universal healthcare program and has been restructuring the country's health IT system to support it. However, there is no national data available regarding the acceptance and use of health IT in many healthcare facilities, including community health centers (CHCs). This study employed a modified Unified Theory of Acceptance and Use of Technology (UTAUT) structural model, to understand factors that influence health IT adoption in community health centers in Thailand and to validate this extant IT adoption model in a developing country health care context. METHODS: An observational research design was employed to study CHCs' IT adoption and use. A random sample of 1607 regionally stratified CHC's from a total of 9806 CHCs was selected. Data collection was conducted using a cross-sectional survey by means of self-administered questionnaire with an 82% response rate. The research model was applied using the partial least squares (PLS) path modeling. RESULTS: The data showed that people who worked in CHCs exhibited a high degree of IT acceptance and use. The research model analyses suggest that IT acceptance is influenced by performance expectancy, effort expectancy, social influence and voluntariness. Health IT use is predicted by previous IT experiences, intention to use the system, and facilitating conditions. CONCLUSIONS: Health IT is pervasive and well adopted by CHCs in Thailand. The study results have implications for both health IT developmental efforts in Thailand and health informatics research. This study validated the UTAUT model in the field context of a developing country's healthcare system and demonstrated that the PLS path modeling works well in a field study and in exploratory research with a complex model.

Telehealth: the promise of new care delivery models.

Telehealth possesses a significant potential to revolutionize healthcare delivery processes by challenging some of the long-held assumptions about healthcare delivery and by creating innovative alternative models. Those assumptions relate to the location-linked nature of healthcare and its episodic nature. Telehealth can challenge the assumption that healthcare is inextricably linked to the provider's location. Numerous models involving such approaches as interactive videoconferencing and store-and-forward technologies already exist. Telehealth also challenges the episodic nature of care. One example is provided by the models evolving from the convergence of three technologies: remote monitoring, electronic health records, and clinical decision support systems. Telehealth-based models of care can also lead to a reduced demand for services and greater efficiencies in the care process. These telehealth-enabled care delivery models have the potential to reduce the costs of care, improve quality, and mitigate provider shortages. However, the achievement of these goals is not straightforward. The current healthcare financing system is not designed to support such new models, and the existing healthcare culture is deeply ingrained within workflow processes and provider attitudes. A great deal of work remains to be done before the benefits of telehealth-based care delivery models are fully realized. Change is inherently risky but we must have the courage to assume the risk in order to create telehealth-driven innovations that lead to better and more cost-effective medical care for all.

Home telehealth improves clinical outcomes at lower cost for home healthcare.

Patient outcomes and cost were compared when home healthcare was delivered by telemedicine or by traditional means for patients receiving skilled nursing care at home. A randomized controlled trial was established using three groups. The first group, control group C, received traditional skilled nursing care at home. The second group, video intervention group V, received traditional skilled nursing care at home and virtual visits using videoconferencing technology. The third group, monitoring intervention group M, received traditional skilled nursing care at home, virtual visits using videoconferencing technology, and physiologic monitoring for their underlying chronic condition. Discharge to a higher level of care (hospital, nursing home) within 6 months of study participation was 42% for C subjects, 21% for V subjects, and 15% for M subjects. There was no difference in mortality between the groups. Morbidity, as evaluated by changes in the knowledge, behavior and status scales of the Omaha Assessment Tool, showed no differences between groups except for increased scores for activities of daily living at study discharge in the V and M groups. The average visit costs were $48.27 for face-to-face home visits, $22.11 for average virtual visits (video group), and $32.06 and $38.62 for average monitoring group visits for congestive heart failure and chronic obstructive pulmonary disease subjects, respectively. This study has demonstrated that virtual visits between a skilled home healthcare nurse and chronically ill patients at home can improve patient outcome at lower cost than traditional skilled face-to-face home healthcare visits.

Assessment of patients' acceptance of and satisfaction with teledermatology.

Teledermatology refers to the use of information and communication technologies (such as videoconferencing or transmission of digital images) to enable the practice of diagnostic dermatology between participants separated by geographic distance. The objective of this study was to critically review the quality of evidence about patient satisfaction with teledermatology applications. Sample size, reporting of validity and reliability, used instrument and its underlying constructs were determined for all studies where information was available. Fourteen studies were identified, five refer to store-and-forward applications, the remaining ones describe video-based systems. The systematic review demonstrated that methodological deficiencies in the published research impact the generalizability of findings. The two types of teledermatology (video-based and store-and-forward) require different satisfaction instruments as they are based on different contexts of care delivery, with video-mediated communication being key in the former and patients' absence from the diagnostic process in the latter mode of care delivery.

Evaluation of the implementation of an electronic medical record.

University of Minnesota Physicians, the faculty clinical practice organization of the Medical School, is implementing an Electronic Medical Record (EMR). During this process, we anticipated the need for an evaluative study of the implementation to examine process and satisfaction. This was in order to monitor the ability of the physicians to use the EMR effectively. The use of these data to evaluate the implementation and user-acceptance of change of process presents a unique research opportunity. The study of the impact of the EMR implementation on patient care, education, and other issues of academic interest make this research study valuable.