Pneumothorax during upper airway stimulation: Does experience make a difference?

OBJECTIVES: Upper airway stimulation is a treatment option for select patients with obstructive sleep apnea. Pneumothorax may occur with UAS implantation during placement of the respiratory sensor. This study aims to evaluate the incidence of pneumothorax during UAS device placement. We hypothesize that sleep surgeons with high implantation volumes experience lower rates of pneumothorax compared to the general population of surgeons. METHODS: We also aim to describe management of pneumothorax when it does occur. The incidence of pneumothorax during UAS implantation among the general population of surgeons was assessed using the TriNetX Research Network. Additionally, a select group of Otolaryngologist sleep surgeons with a high UAS implantation volume were surveyed regarding experiences with UAS related pneumothoraces. RESULTS: 8 pneumothoraces occurred among 3823 UAS procedures in the surveyed otolaryngologist sleep surgeon population. 4 required chest tube insertion. Among the general population cohort, 42 of 1233 patients developed pneumothorax after UAS implantation. The rates of pneumothorax between the otolaryngologist sleep surgeon cohort and general population of surgeons cohort were 0.21 % and 3.4 % respectively (p < 0.00001). CONCLUSION: Pneumothorax rarely occurs during UAS implantation. Surgeons with higher implantation volumes showed a lower incidence of pneumothorax. Pneumothorax management is dependent on patient stability, perioperative setting, and degree of injury. The use of needle decompression, chest tube placement, and suture placement also vary with clinical scenario.

Patient and Clinician Characteristics Associated With Secure Message Content: Retrospective Cohort Study.

BACKGROUND: Good communication has been shown to affect patient outcomes; however, the effect varies according to patient and clinician characteristics. To date, no research has explored the differences in the content of secure messages based on these characteristics. OBJECTIVE: This study aims to explore characteristics of patients and clinic staff associated with the content exchanged in secure messages. METHODS: We coded 18,309 messages that were part of threads initiated by 1031 patients with hypertension, diabetes, or both conditions, in communication with 711 staff members. We conducted four sets of analyses to identify associations between patient characteristics and the types of messages they sent, staff characteristics and the types of messages they sent, staff characteristics and the types of messages patients sent to them, and patient characteristics and the types of messages they received from staff. Logistic regression was used to estimate the strength of the associations. RESULTS: We found that younger patients had reduced odds of sharing clinical updates (odds ratio [OR] 0.77, 95% CI 0.65-0.91) and requesting prescription refills (OR 0.77, 95% CI 0.65-0.90). Women had reduced odds of self-reporting biometrics (OR 0.78, 95% CI 0.62-0.98) but greater odds of responding to a clinician (OR 1.20, 95% CI 1.02-1.42) and seeking medical guidance (OR 1.19, 95% CI 1.01-1.40). Compared with White patients, Black patients had greater odds of requesting preventive care (OR 2.68, 95% CI 1.30-5.51) but reduced odds of requesting a new or changed prescription (OR 0.72, 95% CI 0.53-0.98) or laboratory or other diagnostic procedures (OR 0.66, 95% CI 0.46-0.95). Staff had lower odds of sharing medical guidance with younger patients (OR 0.83, 95% CI 0.69-1.00) and uninsured patients (OR 0.21, 95% CI 0.06-0.73) but had greater odds of sharing medical guidance with patients with public payers (OR 2.03, 95% CI 1.26-3.25) compared with patients with private payers. Staff had reduced odds of confirming to women that their requests were fulfilled (OR 0.82, 95% CI 0.69-0.98). Compared with physicians, nurse practitioners had greater odds of sharing medical guidance with patients (OR 2.74, 95% CI 1.12-6.68) and receiving prescription refill requests (OR 3.39, 95% CI 1.49-7.71). Registered nurses had greater odds of deferred information sharing (OR 1.61, 95% CI 1.04-2.49) and receiving responses to messages (OR 3.93, 95% CI 2.18-7.11) than physicians. CONCLUSIONS: The differences we found in content use based on patient characteristics could lead to the exacerbation of health disparities when content is associated with health outcomes. Disparities in the content of secure messages could exacerbate disparities in patient outcomes, such as satisfaction, trust in the system, self-care, and health outcomes. Staff and administrators should evaluate how secure messaging is used to ensure that disparities in care are not perpetuated via this communication modality.

Health Care Providers' Acceptance of a Personal Health Record: Cross-sectional Study.

BACKGROUND: Personal health records (PHRs) are eHealth tools designed to support patient engagement, patient empowerment, and patient- and person-centered care. Endorsement of a PHR by health care providers (HCPs) facilitates patient acceptance. As health care organizations in the Kingdom of Saudi Arabia begin to adopt PHRs, understanding the perspectives of HCPs is important because it can influence patient adoption. However, no studies evaluated HCPs' acceptance of PHRs in the Kingdom of Saudi Arabia. OBJECTIVE: The aim of this study was to identify predictors of HCPs' acceptance of PHRs using behavioral intention to recommend as a proxy for adoption. METHODS: This cross-sectional study was conducted among HCPs (physicians, pharmacists, nurses, technicians, others) utilizing a survey based on the Unified Theory of Acceptance and Use of Technology. The main theory constructs of performance expectancy, effort expectancy, social influence, facilitating conditions, and positive attitude were considered independent variables. Behavioral intention was the dependent variable. Age, years of experience, and professional role were tested as moderators between the main theory constructs and behavioral intention using partial least squares structural equation modeling. RESULTS: Of the 291 participants, 246 were included in the final analysis. Behavioral intention to support PHR use among patients was significantly influenced by performance expectancy (ß=.17, P=.03) and attitude (ß=.61, P<.01). No moderating effects were present. CONCLUSIONS: This study identified performance expectancy and attitude as predictors of HCPs' behavioral intention to recommend PHR to patients. To encourage HCPs to endorse PHRs, health care organizations should involve HCPs in the implementation and provide training on the features available as well as expected benefits. Future studies should be conducted in other contexts and include other potential predictors.

Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study.

BACKGROUND: The number of electronic messages securely exchanged between clinic staff and patients has risen dramatically over the last decade. A variety of studies explored whether the volume of messages sent by patients was associated with outcomes. None of these studies, however, examined whether message content itself was associated with outcomes. Because secure messaging is a significant form of communication between patients and clinic staff, it is critical to evaluate the context of the communication to best understand its impact on patient health outcomes. OBJECTIVE: To examine associations between patients' and clinicians' message content and changes in patients' health outcomes. METHODS: We applied a taxonomy developed specifically for secure messages to 14,394 patient- and clinic staff-generated messages derived from patient-initiated message threads. Our study population included 1602 patients, 50.94% (n=816) of whom initiated message threads. We conducted linear regression analyses to determine whether message codes were associated with changes in glycemic (A1C) levels in patients with diabetes and changes in systolic (SBP) and diastolic (DBP) blood pressure in patients with hypertension. RESULTS: Patients who initiated threads had larger declines in A1Cs (P=.01) compared to patients who did not initiate threads. Clinic nonresponse was associated with decreased SBP (ß=-.30; 95% CI -0.56 to -0.04), as were staffs' action responses (ß=-30; 95% CI -0.58 to -0.02). Increased DBP, SBP, and A1C levels were associated with patient-generated appreciation and praise messages and staff encouragement with effect sizes ranging from 0.51 (A1C) to 5.80 (SBP). We found improvements in SBP associated with patients' complaints (ß=-4.03; 95% CI -7.94 to -0.12). Deferred information sharing by clinic staff was associated with increased SBP (ß=1.29; 95% CI 0.4 to 2.19). CONCLUSIONS: This is the first research to find associations between message content and patients' health outcomes. Our findings indicate mixed associations between patient message content and patient outcomes. Further research is needed to understand the implications of this work; in the meantime, health care providers should be aware that their message content may influence patient health outcomes.

Psychopathology and HIV diagnosis among older adults in the United States: disparities by age, sex, and race/ethnicity.

In 2016, 17% of new HIV infections in the US were among adults aged 50 and older. Differences by age, sex, and race/ethnicity exist among older people living with HIV. Co-morbid mental health and substance use disorders (SUD) are also major challenges for this population. This study examined the association between generalized anxiety disorder (GAD), posttraumatic stress disorder (PTSD), SUD, depression, and HIV diagnosis among adults aged 50 and older, and the disparities by age, sex, and race/ethnicity. Data were obtained from Cerner Corporation's Health Facts® database. Multivariable logistic regression models were used to determine the associations between GAD, PTSD, SUD, and depression, and HIV diagnosis. Results were also stratified by age group, sex, and race/ethnicity. Overall, there were positive associations between SUD, depression, GAD, PTSD and HIV; and differences by age, sex and race/ethnicity existed in these associations. For example, after adjusting for age, race/ethnicity and marital status, men who were diagnosed with GAD were 10 times more likely (adjusted OR: 10.3; 95% CI: 8.75 - 12.1) to have an HIV diagnosis compared to men who were not diagnosed with GAD. Women who were diagnosed with GAD were five times more likely (adjusted OR: 5.01; 95% CI: 3.81 - 6.58) to have an HIV diagnosis compared to women who were not diagnosed with GAD. HIV prevention and intervention programs for older adults should address GAD, PTSD, SUD and depression and consider the age, sex and racial/ethnic disparities in the association between psychopathology and HIV.

Look Who's Talking: Application of a Theory-Based Taxonomy to Patient-Clinician E-mail Messages.

Background: Patient-clinician communication between office visits may improve patient outcomes by increasing patients' information retention and offering opportunities for patient-centered communication. Secure electronic messaging offers one such communication modality, but evidence of associations between its use and patient outcomes is mixed. To date, no study has examined the relationship between message content and patient outcomes. Introduction: Secure message content provides context around patients' requests and whether clinicians responded in ways that improve care and outcomes. This study evaluates the use of a theory-based taxonomy to classify patients' and clinicians' message content and describes characteristics associated with coded content. Methods: We coded message threads initiated in 2017 by 73 randomly selected patients with hypertension and/or diabetes. Multiple codes could be applied to each message. Chi-square analyses identified differences by patients' demographics and health condition. Results: We analyzed 658 message threads composed of 1,751 clinician- and patient-generated messages, to which 2,055 taxonomic codes were assigned. Eighteen percent of patients' threads were unanswered. Most codes assigned to patient-generated messages were task-oriented (46%) or information seeking (26%) requests; 30% of clinician responses left those requests unfulfilled or unaddressed. Clinicians were more likely to recommend a patient be seen in the office based on patients' sex, age, and health condition. Furthermore, white patients were more likely to send, and receive from their clinicians, messages with praise and appreciation content compared with black patients. Conclusion: Further research is needed to better understand how and why these differences exist so that patient-clinician electronic messaging is optimized to improve patient outcomes.

The Worsening Profile of Alcoholic Hepatitis in the United States.

BACKGROUND: Alcoholic hepatitis (AH) is a major cause of liver-related hospitalization. The profile, treatment patterns, and outcomes of subjects admitted for AH in routine clinical practice are unknown. Also, it is not known whether these are changing over time. This study is thus aimed to identify temporal trends in hospitalization rates, clinical characteristics, treatment patterns, and outcomes of subjects admitted for AH in a routine clinical setting. METHODS: A retrospective analysis of adults admitted for AH from 2000 to 2011 was performed using an anonymized EMR database of patient-level data from 169 U.S. medical centers. RESULTS: (i) EPIDEMIOLOGY: The proportion of baby boomers admitted for AH increased from 2000 to 2011 (26 to 31%, p < 0.0001). (ii) CLINICAL: The median Model for End-Stage Liver Disease (MELD) score increased over time from 12 to 14 (p = 0.0014) driven mainly by increased international normalized ratio (1.2 to 1.4, p < 0.0001). The median Charlson Comorbidity Index increased from 0 to 1 (p < 0.0001) with increased diabetes, chronic obstructive pulmonary disease, and heart disease. (iii) COMPLICATIONS: The following increased from 2001 to 2011: Gastrointestinal bleed-7 to 10% (p = 0.03); hepatic encephalopathy-7 to 13% (p < 0.0001); hepatorenal syndrome-1.8 to 2.8% (p = 0.0003); sepsis-0 to 6% (p < 0.0001); and pancreatitis-11 to 16% (p = 0.0061). (iv) Treatment patterns and mortality: Eight to 9% of subjects received steroids while pentoxifylline use increased to 2.2%. In those with MELD ≥ 22, mortality remained between 19 and 20% and only steroids modestly improved survival in this subset. CONCLUSIONS: Severe AH continues to have a high mortality. The severity and comorbidities and complications associated with AH have worsened. Drug therapy remains suboptimal.

A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample.

BACKGROUND: The growing availability of electronic health records (EHRs) in the US could provide researchers with a more detailed and clinically relevant alternative to using claims-based data. METHODS: In this study we compared a very large EHR database (Health Facts©) to a well-established population estimate (Nationwide Inpatient Sample). Weighted comparisons were made using t-value and relative difference over diagnoses and procedures for the year 2010. RESULTS: The two databases have a similar distribution pattern across all data elements, with 24 of 50 data elements being statistically similar between the two data sources. In general, differences that were found are consistent across diagnosis and procedures categories and were specific to the psychiatric-behavioral and obstetrics-gynecology services areas. CONCLUSIONS: Large EHR databases have the potential to be a useful addition to health services researchers, although they require different analytic techniques compared to administrative databases; more research is needed to understand the differences.

Genetic counselors' current use of personal health records-based family histories in genetic clinics and considerations for their future adoption.

Given the widespread adoption of electronic medical records and recent emergence of electronic family history tools, we examined genetic counselors' perspectives on the emerging technology of the personal health record (PHR)-based family history tool that links to an electronic medical record (EMR). Two-hundred thirty-three genetic counselors responded to an on-line survey eliciting current use of electronic family history (EFH) tools and familiarity with PHR-based family history tools. Additionally, after being shown a series of screen shots of a newly developed PHR-based family history tool based on the U.S. Surgeon General's My Family Health Portrait (United States Department of Health and Human Services 2009), participants were surveyed about the perceived usefulness, ease of use, and impact on current workflow that this kind of tool would have in their practices. Eighty-three percent reported that their institution has an EMR, yet only 35 % have a dedicated space for family history. Eighty-two percent reported that less than 5 % of their patients have a PHR, and only 16 % have worked with patients who have a PHR. Seventy-two percent or more agreed that a PHR-based family history tool would facilitate communication, increase accuracy of information, ensure consistency in recording information, increase focus on actual counseling, reduce repetitive questions, improve efficiency, and increase the legibility and clarity. Our findings suggest that participants were familiar with existing EFH tools, but that the majority did not use them in practice. Genetic counselors' adoption of such tools is limited due to non-existence of this kind of technology or inability to integrate it into their clinics. They are also strongly in favor of adopting a PHR-based family history tool in genetics clinics, but have practical concerns that must be addressed before the tool can be implemented.

Text messaging as adjunct to community-based weight management program.

Increasing obesity rates are still a public health priority. The primary aim of this study was to evaluate the effect of tailored text messages on body weight change in overweight and obese adults in a community-based weight management program. A secondary aim was to detect behavioral changes in the same population. The study design was quasi-experimental with pretest and posttest analysis, conducted over 12 weeks. A total of 28 participants were included in the analysis. Body weight, eating behaviors, exercise and nutrition self-efficacy, attitude toward mobile technology, social support, and physical activity were assessed at baseline and at 12 weeks. Text messages were sent biweekly to the intervention but not to the control group. At 12 weeks, the intervention group had lost significant weight as compared with the control group. There was a trend toward an improvement in eating behaviors, exercise, and nutrition self-efficacy in the intervention group, with no significant difference between groups. A total of 79% of participants stated that text messages helped in adopting healthy behaviors. Tailored text messages appear to enhance weight loss in a weight management program at a community setting. Large-scale and long-term intervention studies are needed to confirm these findings.

Perceived barriers and enablers of a personal health record from the healthcare provider perspective.

Personal health records (PHRs) have been implemented around the world as a means to increase the safety, quality, and efficiency of health care. The Ministry of National Guard Health Affairs in the Kingdom of Saudi Arabia launched their PHR in 2018. This study aimed to explore healthcare provider (HCP) perspectives of barriers to and enablers of PHR adoption in Saudi Arabia. The 291 participating HCPs (40.5% nurses, 23.0% pharmacists, 17.2% physicians, 15.5% technicians, and 3.8% other) selected the following as top-3 barriers to PHR adoption: 1) lack of patient awareness (19.4%), 2) patient low literacy (17.7%), and 3) patient resistance to new technologies (12.5%). Of these, 36 responded to the open-ended question gauging feedback on the PHR. Three main themes were identified from the comments: 1) general perceptions of the PHR (positive attitudes, negative attitudes, additional features); 2) patient engagement as a requirement for the successful implementation of the PHR; and 3) education/training of HCPs, patients, and caregivers. This analysis extends our understanding of HCP perspectives of barriers and enablers to PHR adoption. Further qualitative research with patients is required to confirm our findings.

Hospital electronic medical record enterprise application strategies: do they matter?

BACKGROUND: Successful implementations and the ability to reap the benefits of electronic medical record (EMR) systems may be correlated with the type of enterprise application strategy that an administrator chooses when acquiring an EMR system. Moreover, identifying the most optimal enterprise application strategy is a task that may have important linkages with hospital performance. PURPOSE: This study explored whether hospitals that have adopted differential EMR enterprise application strategies concomitantly differ in their overall efficiency. Specifically, the study examined whether hospitals with a single-vendor strategy had a higher likelihood of being efficient than those with a best-of-breed strategy and whether hospitals with a best-of-suite strategy had a higher probability of being efficient than those with best-of-breed or single-vendor strategies. A conceptual framework was used to formulate testable hypotheses. METHODOLOGY: A retrospective cross-sectional approach using data envelopment analysis was used to obtain efficiency scores of hospitals by EMR enterprise application strategy. A Tobit regression analysis was then used to determine the probability of a hospital being inefficient as related to its EMR enterprise application strategy, while moderating for the hospital's EMR "implementation status" and controlling for hospital and market characteristics. FINDINGS: The data envelopment analysis of hospitals suggested that only 32 hospitals were efficient in the study's sample of 2,171 hospitals. The results from the post hoc analysis showed partial support for the hypothesis that hospitals with a best-of-suite strategy were more likely to be efficient than those with a single-vendor strategy. PRACTICE IMPLICATIONS: This study underscores the importance of understanding the differences between the three strategies discussed in this article. On the basis of the findings, hospital administrators should consider the efficiency associations that a specific strategy may have compared with another prior to moving toward an enterprise application strategy.

Comparison of readmission and complication rates between traditional sleep surgery and hypoglossal nerve stimulation.

Objective: This study aims to compare readmission and complication rates between hypoglossal nerve stimulation (HNS) and traditional sleep surgery (TSS) in the 90-day postoperative period using a federated electronic health record (EHR) database. Methods: We queried TriNetX, a global federated health research network providing access to EHR data from approximately 70 million patients in 49 large health care organizations to identify individuals who underwent either HNS or TSS for obstructive sleep apnea (OSA) from April 2014 to March 2021. Propensity scores based on demographics and obesity were used to balance groups. We compared the frequency of readmission/representation and surgical-related complication rates between cohorts. Results: After propensity score matching of HNS versus palatal surgery (n = 1014 in each cohort) and HNS versus multilevel surgery (n = 374 in each cohort), we found palatal and multilevel surgery had a significantly higher risk of readmission versus HNS. (12% vs. 4%, p < .0001). Palatal surgery complication rate was also higher than HNS (21% vs. 2%, p < .0001). Multi-level surgery results were similarly higher (22% vs. 3%, p < .001). The most common diagnoses at ER readmission for TSS were procedural complications and pain, while common diagnoses for HNS readmission were general complaints such as malaise and headache. Conclusions: Hypoglossal nerve stimulation has lower risk of readmission and postoperative complications than traditional sleep surgery as demonstrated in a large research network database analysis. Level of Evidence: 3.

Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.

BACKGROUND: Personal health records (PHRs) can facilitate patient-centered communication through the secure messaging feature. As health care organizations in the Kingdom of Saudi Arabia implement PHRs and begin to implement the secure messaging feature, studies are needed to evaluate health care providers' acceptance. OBJECTIVE: The aim of this study was to identify predictors of health care providers' behavioral intention to support the addition of a secure messaging feature in PHRs using an adapted model of the Unified Theory of Acceptance and Use of Technology as the theoretical framework. METHODS: Using a cross-sectional survey design, data on acceptance of secure messaging features in PHRs were collected from health care providers working at the Ministry of National Guard Health Affairs between April and May 2021. The proposed model was tested using partial least squares structural equation modeling in SmartPLS. RESULTS: There were 224 participants: female (66.5%), 40 to 49 years of age (39.9%), nurses (45.1%), and those working more than 10 years in the organization (68.8%). Behavioral intention to support the addition of a secure messaging feature was significantly influenced by performance expectancy (ß = 0.21, p = 0.01) and attitude (ß = 0.50, p < 0.01), while other predicting factors, such as effort expectancy, social influence, and facilitating condition, did not significantly affect the intention. Furthermore, age, years of experience, and professional role did not moderate the relationships. CONCLUSION: Health care professionals will support introducing a secure messaging feature in the PHRs if they serve the intended purpose. Considering attitude also plays a significant role in acceptance, it is necessary to arrange for training and support, so that caregivers, health care providers, and the patients become familiar with the benefits and expected outcomes of using the feature.

Early awareness and uptake of an effective waiting room video intervention by STD clinics.

BACKGROUND: Successful diffusion and adoption is critical for the effectiveness and impact of a new intervention. The objective of this research was to evaluate the uptake and implementation of a newly released educational waiting room video in US sexually transmitted diseases (STD) Clinics. METHODS: A telephone survey was administered to a random sample of 73 clinic directors representing 76 US STD clinics 3 to 5 months following the availability of the intervention. A qualitative analysis was used to categorize survey responses and detect associations among them. RESULTS: Of the 76 clinics, 22% were aware of the intervention and 17% had ordered the intervention kit. The most frequently reported sources for hearing about the video were interpersonal communication/word of mouth, national conferences, and the STDPreventionOnline.org Website. The majority (74%) of clinic directors reported using state or local entities as primary sources of new information; however, reporting these channels was associated with unawareness of the new intervention. Facilitators to adoption included having adequate video/DVD equipment (55%) and a separate, nonshared waiting room for STD services in which to show the video (47%). CONCLUSIONS: The data from this sample suggest that making greater use of prominent thought leaders and interpersonal communication, including social networking, and professional groups may improve awareness of new interventions. Some barriers to adoption, such as lack of equipment, have relatively inexpensive solutions yet bureaucratic or technical support issues may still play a role. However, some structural barriers, such as shared waiting areas, will require innovative alternatives to conventional practice.

Predicting Patients' Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis.

BACKGROUND: With the rise in the use of information and communication technologies in health care, patients have been encouraged to use eHealth tools such as personal health records (PHRs) for better health and well-being services. PHRs support patient-centered care and patient engagement. To support the achievement of the Kingdom of Saudi Arabia's Vision 2030 ambitions, the National Transformation program provides a framework to use PHRs in meeting the 3-fold aim for health care-increased access, reduced cost, and improved quality of care-and to provide patient- and person-centered care. However, there has been limited research on PHR uptake within the country. OBJECTIVE: Using the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical framework, this study aims at identifying predictors of patient intention to utilize the Ministry of National Guard-Health Affairs PHR (MNGHA Care) app. METHODS: Using secondary data from a cross-sectional survey, data measuring the intention to use the MNGHA Care app, along with its predictors, were collected from among adults (n=324) visiting Ministry of National Guard-Health Affairs facilities in Riyadh, Jeddah, Dammam, Madinah, Al Ahsa, and Qassim. The relationship of predictors (main theory constructs) and moderators (age, gender, and experience with health apps) with the dependent variable (intention to use MNGHA Care) was tested using hierarchical multiple regression. RESULTS: Of the eligible population, a total of 261 adult patients were included in the analysis. They had a mean age of 35.07 (SD 9.61) years, 50.6 % were male (n=132), 45.2% had university-level education (n=118), and 53.3% had at least 1 chronic medical condition (n=139). The model explained 48.9% of the variance in behavioral intention to use the PHR (P=.38). Performance expectancy, effort expectancy, and positive attitude were significantly associated with behavioral intention to use the PHR (P<.05). Prior experience with health apps moderated the relationship between social influence and behavioral intention to use the PHR (P=.04). CONCLUSIONS: This study contributes to the existing literature on PHR adoption broadly as well as in the context of the Kingdom of Saudi Arabia. Understanding which factors are associated with patient adoption of PHRs can guide future development and support the country's aim of transforming the health care system. Similar to previous studies on PHR adoption, performance expectancy, effort expectancy, and positive attitude are important factors, and practical consideration should be given to support these areas.

An interactive and user-centered computer system to predict physician's disease judgments in discharge summaries.

PURPOSE: This article describes a formative natural language processing (NLP) system that is grounded in user-centered design, simplification, and transparency of function. METHODS: The NLP system was tasked to classify diseases within patient discharge summaries and is evaluated against clinician judgment during the 2008 i2b2 Shared Task competition. Text classification is performed by interactive, fully supervised learning using rule-based processes and support vector machines (SVMs). RESULTS: The macro-averaged F-score for textual (t) and intuitive (i) classification were 0.614(t) and 0.629(i), while micro-averaged F-scores were recorded at 0.966(t) and 0.954(i) for the competition. These results were comparable to the top 10 performing systems. DISCUSSION: The results of this study indicate that an interactive training method, de novo knowledge base with no external data sources, and simplified text mining processes can achieve a comparably high performance in classifying health-related texts. Further research is needed to determine if the user-centered advantages of a NLP system translate into real world benefits.

Publication trends in the medical informatics literature: 20 years of "Medical Informatics" in MeSH.

BACKGROUND: The purpose of this study is to identify publication output, and research areas, as well as descriptively and quantitatively characterize the field of medical informatics through publication trend analysis over a twenty year period (1987-2006). METHODS: A bibliometric analysis of medical informatics citations indexed in Medline was performed using publication trends, journal frequency, impact factors, MeSH term frequencies and characteristics of citations. RESULTS: There were 77,023 medical informatics articles published during this 20 year period in 4,644 unique journals. The average annual article publication growth rate was 12%. The 50 identified medical informatics MeSH terms are rarely assigned together to the same document and are almost exclusively paired with a non-medical informatics MeSH term, suggesting a strong interdisciplinary trend. Trends in citations, journals, and MeSH categories of medical informatics output for the 20-year period are summarized. Average impact factor scores and weighted average impact factor scores increased over the 20-year period with two notable growth periods. CONCLUSION: There is a steadily growing presence and increasing visibility of medical informatics literature over the years. Patterns in research output that seem to characterize the historic trends and current components of the field of medical informatics suggest it may be a maturing discipline, and highlight specific journals in which the medical informatics literature appears most frequently, including general medical journals as well as informatics-specific journals.

Impact of HbA1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records.

Management of hyperglycemia in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. However, there are few national assessments of diabetes care during hospitalization which could serve as a baseline for change. This analysis of a large clinical database (74 million unique encounters corresponding to 17 million unique patients) was undertaken to provide such an assessment and to find future directions which might lead to improvements in patient safety. Almost 70,000 inpatient diabetes encounters were identified with sufficient detail for analysis. Multivariable logistic regression was used to fit the relationship between the measurement of HbA1c and early readmission while controlling for covariates such as demographics, severity and type of the disease, and type of admission. Results show that the measurement of HbA1c was performed infrequently (18.4%) in the inpatient setting. The statistical model suggests that the relationship between the probability of readmission and the HbA1c measurement depends on the primary diagnosis. The data suggest further that the greater attention to diabetes reflected in HbA1c determination may improve patient outcomes and lower cost of inpatient care.

Effort required in eligibility screening for clinical trials.

PURPOSE: Determining eligibility for a clinical trial (CT) typically requires a lengthy manual review of data for a single evaluation. The cost associated with eligibility screening is typically not compensated through contracts supporting CTs. METHODS: We used a real-time tracking system that captures CT evaluations and provides information on evaluation outcomes and time spent on each eligibility screening by research staff. Using these data, we describe the effort and costs of eligibility screening overall and per enrolled patient for cancer CTs. The study sample included all completed eligibility assessment (evaluation) records for the 18-month study period. We used generalized multinomial modeling to predict evaluation outcomes and then used the resulting parameter coefficients to estimate the effort associated with each participant, adjusted for probability of being enrolled. From these data, we calculated cost associated with eligibility screening. RESULTS: We found substantial variation in attributed cost by study type and phase. The cost of eligibility screening ranged by study phase from $129.15 to $336.48 per enrolled patient. The estimated annual cost of screening was more than $90,000. CONCLUSION: This study provides results based on prospectively captured effort to estimate the largely nonreimbursed costs of eligibility screening and suggests that screening can be a significant financial burden to an institution. Centers performing CTs may need to acknowledge the differences in screening costs for different study types when negotiating contracts with funding organizations. Information such as that captured here could support such negotiations to reduce the gap between reimbursed and nonreimbursed costs.