Learning debiased graph representations from the OMOP common data model for synthetic data generation.

BACKGROUND: Generating synthetic patient data is crucial for medical research, but common approaches build up on black-box models which do not allow for expert verification or intervention. We propose a highly available method which enables synthetic data generation from real patient records in a privacy preserving and compliant fashion, is interpretable and allows for expert intervention. METHODS: Our approach ties together two established tools in medical informatics, namely OMOP as a data standard for electronic health records and Synthea as a data synthetization method. For this study, data pipelines were built which extract data from OMOP, convert them into time series format, learn temporal rules by 2 statistical algorithms (Markov chain, TARM) and 3 algorithms of causal discovery (DYNOTEARS, J-PCMCI+, LiNGAM) and map the outputs into Synthea graphs. The graphs are evaluated quantitatively by their individual and relative complexity and qualitatively by medical experts. RESULTS: The algorithms were found to learn qualitatively and quantitatively different graph representations. Whereas the Markov chain results in extremely large graphs, TARM, DYNOTEARS, and J-PCMCI+ were found to reduce the data dimension during learning. The MultiGroupDirect LiNGAM algorithm was found to not be applicable to the problem statement at hand. CONCLUSION: Only TARM and DYNOTEARS are practical algorithms for real-world data in this use case. As causal discovery is a method to debias purely statistical relationships, the gradient-based causal discovery algorithm DYNOTEARS was found to be most suitable.

Health information technology interventions and engagement in HIV care and achievement of viral suppression in publicly funded settings in the US: A cost-effectiveness analysis.

BACKGROUND: The US National HIV/AIDS Strategy (NHAS) emphasizes the use of technology to facilitate coordination of comprehensive care for people with HIV. We examined cost-effectiveness from the health system perspective of 6 health information technology (HIT) interventions implemented during 2008 to 2012 in a Ryan White HIV/AIDS Program (RWHAP) Special Projects of National Significance (SPNS) Program demonstration project. METHODS/FINDINGS: HIT interventions were implemented at 6 sites: Bronx, New York; Durham, North Carolina; Long Beach, California; New Orleans, Louisiana; New York, New York (2 sites); and Paterson, New Jersey. These interventions included: (1) use of HIV surveillance data to identify out-of-care individuals; (2) extension of access to electronic health records (EHRs) to support service providers; (3) use of electronic laboratory ordering and prescribing; and (4) development of a patient portal. We employed standard microcosting techniques to estimate costs (in 2018 US dollars) associated with intervention implementation. Data from a sample of electronic patient records from each demonstration site were analyzed to compare prescription of antiretroviral therapy (ART), CD4 cell counts, and suppression of viral load, before and after implementation of interventions. Markov models were used to estimate additional healthcare costs and quality-adjusted life-years saved as a result of each intervention. Overall, demonstration site interventions cost $3,913,313 (range = $287,682 to $998,201) among 3,110 individuals (range = 258 to 1,181) over 3 years. Changes in the proportion of patients prescribed ART ranged from a decrease from 87.0% to 72.7% at Site 4 to an increase from 74.6% to 94.2% at Site 6; changes in the proportion of patients with 0 to 200 CD4 cells/mm3 ranged from a decrease from 20.2% to 11.0% in Site 6 to an increase from 16.7% to 30.2% in Site 2; and changes in the proportion of patients with undetectable viral load ranged from a decrease from 84.6% to 46.0% in Site 1 to an increase from 67.0% to 69.9% in Site 5. Four of the 6 interventions-including use of HIV surveillance data to identify out-of-care individuals, use of electronic laboratory ordering and prescribing, and development of a patient portal-were not only cost-effective but also cost saving ($6.87 to $14.91 saved per dollar invested). In contrast, the 2 interventions that extended access to EHRs to support service providers were not effective and, therefore, not cost-effective. Most interventions remained either cost-saving or not cost-effective under all sensitivity analysis scenarios. The intervention that used HIV surveillance data to identify out-of-care individuals was no longer cost-saving when the effect of HIV on an individual's health status was reduced and when the natural progression of HIV was increased. The results of this study are limited in that we did not have contemporaneous controls for each intervention; thus, we are only able to assess sites against themselves at baseline and not against standard of care during the same time period. CONCLUSIONS: These results provide additional support for the use of HIT as a tool to enhance rapid and effective treatment of HIV to achieve sustained viral suppression. HIT has the potential to increase utilization of services, improve health outcomes, and reduce subsequent transmission of HIV.

Clinical informatics subspecialists: characterizing a novel evolving workforce.

BACKGROUND: The growing complexity of data systems in health care has precipitated increasing demand for clinical informatics subspecialists. The first board certification exam for the clinical informatics subspecialty was offered in 2013. Characterizing trends in this novel workforce is important to inform its development. METHODS: We conducted an exploratory analysis of American Board of Medical Specialties data on individuals certified in clinical informatics from 2013 to 2019 to review trends and demographic characteristics of current subspecialists. RESULTS: 2018 physicians were certified in clinical informatics from 2013 to 2019. The annual number of awarded certifications declined after 2016. The majority of primary certifications held by clinical informaticians were in broad-based medical specialties relative to primarily procedural specialties. CONCLUSIONS: Disparities may exist within the clinical informatics physician workforce with respect to primary specialty certifications and geographic distribution. There remains a need for the creation of fellowship programs to sustain the growth of this workforce.

Assessment of Health Information Technology-Related Outpatient Diagnostic Delays in the US Veterans Affairs Health Care System: A Qualitative Study of Aggregated Root Cause Analysis Data.

Importance: Diagnostic delay in the outpatient setting is an emerging safety priority that health information technology (HIT) should help address. However, diagnostic delays have persisted, and new safety concerns associated with the use of HIT have emerged. Objective: To analyze HIT-related outpatient diagnostic delays within a large, integrated health care system. Design, Setting, and Participants: This cohort study involved qualitative content analysis of safety concerns identified in aggregated root cause analysis (RCA) data related to HIT and outpatient diagnostic delays. The setting was the US Department of Veterans Affairs using all RCAs submitted to the Veterans Affairs (VA) National Center for Patient Safety from January 1, 2013, to July 31, 2018. Main Outcomes and Measures: Common themes associated with the role of HIT-related safety concerns were identified and categorized according to the Health IT Safety framework for measuring, monitoring, and improving HIT safety. This framework includes 3 related domains (ie, safe HIT, safe use of HIT, and using HIT to improve safety) situated within an 8-dimensional sociotechnical model accounting for interacting technical and nontechnical variables associated with safety. Hence, themes identified enhanced understanding of the sociotechnical context and domain of HIT safety involved. Results: Of 214 RCAs categorized by the terms delay and outpatient submitted during the study period, 88 were identified as involving diagnostic delays and HIT, from which 172 unique HIT-related safety concerns were extracted (mean [SD], 1.97 [1.53] per RCA). Most safety concerns (82.6% [142 of 172]) involved problems with safe use of HIT, predominantly sociotechnical factors associated with people, workflow and communication, and a poorly designed human-computer interface. Fewer safety concerns involved problems with safe HIT (14.5% [25 of 172]) or using HIT to improve safety (0.3% [5 of 172]). The following 5 key high-risk areas for diagnostic delays emerged: managing electronic health record inbox notifications and communication, clinicians gathering key diagnostic information, technical problems, data entry problems, and failure of a system to track test results. Conclusions and Relevance: This qualitative study of a national RCA data set suggests that interventions to reduce outpatient diagnostic delays could aim to improve test result management, interoperability, data visualization, and order entry, as well as to decrease information overload.

Health Information Technology Adoption and Clinical Performance in Federally Qualified Health Centers.

A national sample (N = 982) of federally qualified health centers (FQHCs) for the period 2011-2016 was examined regarding the relationship between the age and extent of health information technology (HIT) use and clinical performance. We found that each additional year of HIT use was associated with an approximate 4 percent increase in both process and outcome measures of clinical performance. Furthermore, FQHCs that fully adopted HIT had 7 percent higher clinical performance on hypertension control than those that did not adopt HIT. This study's findings can assist stakeholders to make informed decisions for improving care and sustaining a competitive advantage.

Building Usability Knowledge for Health Information Technology: A Usability-Oriented Analysis of Incident Reports.

BACKGROUND: The contribution of usability flaws to patient safety issues is acknowledged but not well-investigated. Free-text descriptions of incident reports may provide useful data to identify the connection between health information technology (HIT) usability flaws and patient safety. OBJECTIVES: This article examines the feasibility of using incident reports about HIT to learn about the usability flaws that affect patient safety. We posed three questions: (1) To what extent can we gain knowledge about usability issues from incident reports? (2) What types of usability flaws, related usage problems, and negative outcomes are reported in incidents reports? (3) What are the reported usability issues that give rise to patient safety issues? METHODS: A sample of 359 reports from the U.S. Food and Drug Administration Manufacturer and User Facility Device Experience database was examined. Descriptions of usability flaws, usage problems, and negative outcomes were extracted and categorized. A supplementary analysis was performed on the incidents which contained the full chain going from a usability flaw up to a patient safety issue to identify the usability issues that gave rise to patient safety incidents. RESULTS: A total of 249 reports were included. We found that incident reports can provide knowledge about usability flaws, usage problems, and negative outcomes. Thirty-six incidents report how usability flaws affected patient safety (ranging from incidents without consequence, to death) involving electronic patient scales, imaging systems, and HIT for medication management. The most significant class of involved usability flaws is related to the reliability, the understandability, and the availability of the clinical information. CONCLUSION: Incidents reports involving HIT are an exploitable source of information to learn about usability flaws and their effects on patient safety. Results can be used to convince all stakeholders involved in the HIT system lifecycle that usability should be considered seriously to prevent patient safety incidents.

Evaluation of Primary Health Care attributes of Fortaleza city, Ceará State, Brazil.

OBJECTIVE: To evaluate the Primary Health Care attributes of Fortaleza city, Ceará State. METHOD: Evaluative study carried out at 97 Primary Health Care Units, from August 2015 to June 2016. 451 professionals from the Family Health Strategy participated in the study. We used the Primary Care Assessment Tool - Brazil, which evaluates the attributes, assigning scores on a scale of zero to ten. We adopted as a cut-off point, to consider high Primary Care score, attributes with a value of 6.60 or higher. RESULTS: Among the eight attributes evaluated the First Contact Access and the Coordination - Information System were the ones that obtained the lowest and highest scores, (2.98) and (7.82), respectively. The Overall Score, calculated by means of a mean of the attributes, was 6.34. CONCLUSION: The Primary Care evaluated had a low score, showing the need to discuss mechanisms to boost the attributes that obtained low scores.

Evaluation of Primary Health Care attributes of Fortaleza city, Ceará State, Brazil / Evaluación de los atributos de la Atención Primaria de Salud de Fortaleza, Ceará, Brasil / Avaliação dos atributos da Atenção Primária à Saúde de Fortaleza, Ceará, Brasil

ABSTRACT Objective: To evaluate the Primary Health Care attributes of Fortaleza city, Ceará State. Method: Evaluative study carried out at 97 Primary Health Care Units, from August 2015 to June 2016. 451 professionals from the Family Health Strategy participated in the study. We used the Primary Care Assessment Tool - Brazil, which evaluates the attributes, assigning scores on a scale of zero to ten. We adopted as a cut-off point, to consider high Primary Care score, attributes with a value of 6.60 or higher. Results: Among the eight attributes evaluated the First Contact Access and the Coordination - Information System were the ones that obtained the lowest and highest scores, (2.98) and (7.82), respectively. The Overall Score, calculated by means of a mean of the attributes, was 6.34. Conclusion: The Primary Care evaluated had a low score, showing the need to discuss mechanisms to boost the attributes that obtained low scores.

RESUMEN Objetivo: Evaluar los atributos de la Atención Primaria d Salud de Fortaleza-CE. Método: Estudio evaluatorio realizado en 97 Unidades de Atención Primaria a la Salud, en el período de agosto de 2015 a junio de 2016. Participaron de la encuesta 451 profesionales de la Estrategia Salud de la Familia. Se utilizó el Primary Care Assessment Tool - Brasil, que evalúa los atributos, asignando escores en una escala de cero a diez. Se adoptaron como punto de corte, para considerar la puntuación alta de la Atención Primaria, los atributos con un valor igual o superior a 6,60. Resultados: Entre los ocho atributos evaluados, el Acceso de primer contacto y la Coordinación - sistema de informaciones, fueron los que obtuvieron menor y mayor puntaje (2,98) y (7,82), respectivamente. La Escala General, calculada a través de un promedio de los atributos, fue de 6,34. Conclusión La Atención Primaria evaluada obtuvo bajo puntaje, demostrando la necesidad de discutir mecanismos para impulsar los atributos que obtuvieron escores bajos.

RESUMO Objetivo: Avaliar os atributos da Atenção Primária à Saúde de Fortaleza, Ceará. Método: Estudo avaliativo realizado em 97 Unidades de Atenção Primária à Saúde, no período de agosto de 2015 a junho de 2016. Participaram da pesquisa 451 profissionais da Estratégia Saúde da Família. Foi utilizado o Primary Care Assessment Tool - Brasil, que avalia os atributos, atribuindo escores em uma escala de zero a dez. Adotaram-se como ponto de corte, para considerar escore alto da Atenção Primária, os atributos com valor igual ou superior a 6,60. Resultados: Dentre os oito atributos avaliados, o Acesso de primeiro contato e a Coordenação - sistema de informações, foram os que obtiveram menor e maior escore, (2,98) e (7,82), respectivamente. O Escore Geral, calculado através de uma média dos atributos, foi de 6,34. Conclusão: A Atenção Primária avaliada obteve baixo escore, demonstrando a necessidade de se discutir mecanismos para impulsionar os atributos que obtiveram escores baixos.

Organizational influences on healthcare system adoption and use of advanced health information technology capabilities.

OBJECTIVES: The adoption of advanced health information technology (HIT) capabilities, such as predictive analytic functions and patient access to records, remains variable among healthcare systems across the United States. This study is the first to identify characteristics that may drive this variability among health systems. STUDY DESIGN: Responses from the 2017/2018 National Survey of Healthcare Organizations and Systems were used to assess the extent to which healthcare system organizational structure, electronic health record (EHR) standardization, and resource allocation practices were associated with use of 5 advanced HIT capabilities. Of 732 systems surveyed, 446 responded (60.9%), 425 (58.1%) met sample inclusion criteria, and 389 (53.1%) reported consistent EHR use. METHODS: Measures of adoption, resource allocation, and organizational structure were developed based on survey responses. Multivariate linear regression with control variables estimated the relationships. RESULTS: Adoption of advanced HIT capabilities is low and variable, with a mean of 2.4 capabilities adopted and only 8.4% of systems reporting widespread adoption of all 5 capabilities. In adjusted analyses, EHR standardization (ß = 0.76; P = .001) was the strongest predictor of the number of advanced capabilities adopted, and ownership and management of medical groups (ß = 0.32; P = .04) was also a significant predictor. CONCLUSIONS: Health systems that standardize their EHRs and that own and manage hospitals and medical groups have higher rates of advanced HIT adoption and use. System leaders looking to increase the use of advanced HIT capabilities should consider ways to better standardize their EHRs across organizations.

The effects and preventability of 2627 patient safety incidents related to health information technology failures: a retrospective analysis of 10 years of incident reporting in England and Wales.

BACKGROUND: The use of health information technology (IT) is rapidly increasing to support improvements in the delivery of care. Although health IT is delivering huge benefits, new technology can also introduce unique risks. Despite these risks, evidence on the preventability and effects of health IT failures on patients is scarce. In our study we therefore sought to evaluate the preventability and effects of health IT failures by examining patient safety incidents in England and Wales. METHODS: We designed our study as a retrospective analysis of 10 years of incident reporting in England and Wales. We used text mining with the words "computer", "system", "workstation", and "network" to explore free-text incident descriptors to identify incidents related to health IT failures following a previously described approach. We then applied an n-gram model of searching to identify contiguous sequences of words and provide spatial context. We examined incident details, recorded harm, and preventability. Standard descriptive statistics were applied. Degree of harm was identified according to standardised definitions and preventability was assessed by two independent reviewers. FINDINGS: We identified 2627 incidents related to health IT failures. 2557 (97%) of 2627 incidents were assessed for harm (70 incidents were excluded). 2106 (82%) of 2557 health IT failures caused no harm to patients, 331 (13%) caused low harm, 102 (4%) caused moderate harm, 14 (1%) caused severe harm, and four (<1%) contributed to the death of a patient. 1964 (75%) of 2627 incidents were deemed to be preventable. INTERPRETATION: Health IT is fundamental to the delivery of high-quality care, yet there is a poor understanding of the effects of IT failures on patient safety and whether they can be prevented. Failures are complex and involve interlinked aspects of technology, people, and the environment. Health IT failures are undoubtedly a potential source of substantial harm, but they are likely to be under-reported. Worryingly, three-quarters of IT failures are potentially preventable. There is a need to see health IT as a fundamental tenet of patient safety, develop better methods for capturing the effects of IT failures on patients, and adopt simple measures to reduce their probability and mitigate their risk. FUNDING: The National Institutes of Health Research Imperial Patient Safety Translational Research Centre at Imperial College London.

Local Health Departments' Engagement in Addressing Health Disparities: The Effect of Health Informatics.

CONTEXT: Health disparities and health inequities can lead to poor health outcomes. However, health disparities continue to persist in communities across the United States, presenting a crucial public health challenge. Persisting budget cuts and workforce challenges tend to hinder local health departments' (LHDs') ability to assess and address health disparities. OBJECTIVES: To examine the extent to which LHDs' use of informatics effects their engagement in strategies and activities addressing health disparities. METHODS: Data from the 2016 Profile of LHDs were used in examining the association of informatics with 9 activities addressing health disparities/inequities. RESULTS: Fifty-nine percent of LHDs used data and described health disparities in their jurisdiction, and 12% conducted original research to link health disparities to differences in social or environmental conditions. Less than 40% of LHDs prioritized resources for the reduction of health disparities. LHDs that implemented information systems had increased odds of describing the disparities in their jurisdiction (P < .01) and having prioritized resources for the reduction of disparities (P < .01). Per capita expenditures, participation in a national accreditation program process, and a larger LHD population were also positively associated with 7 of 9 activities for addressing health disparities/inequities. CONCLUSIONS: As LHDs advance efforts to reduce health disparities and inequities, leadership will find informatics a useful strategy. National initiatives aimed to boost LHDs' engagement in the reduction of disparities might benefit from our findings, positing a positive influence of informatics.

Efficiency Analysis of Healthcare System in Lebanon Using Modified Data Envelopment Analysis.

The inflow of refugees from Syria into Lebanon necessitates a robust and efficient healthcare system in Lebanon to withstand the growing demand for healthcare service. For this purpose, we evaluate the efficiency of healthcare system in Lebanon from 2000 through 2015 by applying a modified data envelopment analysis (DEA) model. We have selected four output variables: life expectancy at birth, maternal mortality ratio, infant mortality rate, and newly infected with HIV and two input variables: total health expenditure (% of GDP) and number of hospital beds. The findings of the paper show improvement in the efficiency of the healthcare system in Lebanon after the widespread of the health system reform in 2005. It also shows that reduction in health expenditure does not necessarily reduce efficiency if operational and technical aspect of the healthcare system is improved. The study infers that the healthcare system in Lebanon is capable of withstanding the increase in health demand provided further resources are made available and the existing technical and operational improvement are maintained.

Critical assessment of pediatric neurosurgery patient/parent educational information obtained via the Internet.

OBJECTIVE The Internet is used frequently by patients and family members to acquire information about pediatric neurosurgical conditions. The sources, nature, accuracy, and usefulness of this information have not been examined recently. The authors analyzed the results from searches of 10 common pediatric neurosurgical terms using a novel scoring test to assess the value of the educational information obtained. METHODS Google and Bing searches were performed for 10 common pediatric neurosurgical topics (concussion, craniosynostosis, hydrocephalus, pediatric brain tumor, pediatric Chiari malformation, pediatric epilepsy surgery, pediatric neurosurgery, plagiocephaly, spina bifida, and tethered spinal cord). The first 10 "hits" obtained with each search engine were analyzed using the Currency, Relevance, Authority, Accuracy, and Purpose (CRAAP) test, which assigns a numerical score in each of 5 domains. Agreement between results was assessed for 1) concurrent searches with Google and Bing; 2) Google searches over time (6 months apart); 3) Google searches using mobile and PC platforms concurrently; and 4) searches using privacy settings. Readability was assessed with an online analytical tool. RESULTS Google and Bing searches yielded information with similar CRAAP scores (mean 72% and 75%, respectively), but with frequently differing results (58% concordance/matching results). There was a high level of agreement (72% concordance) over time for Google searches and also between searches using general and privacy settings (92% concordance). Government sources scored the best in both CRAAP score and readability. Hospitals and universities were the most prevalent sources, but these sources had the lowest CRAAP scores, due in part to an abundance of self-marketing. The CRAAP scores for mobile and desktop platforms did not differ significantly (p = 0.49). CONCLUSIONS Google and Bing searches yielded useful educational information, using either mobile or PC platforms. Most information was relevant and accurate; however, the depth and breadth of information was variable. Search results over a 6-month period were moderately stable. Pediatric neurosurgery practices and neurosurgical professional organization websites were inferior (less current, less accurate, less authoritative, and less purposeful) to governmental and encyclopedia-type resources such as Wikipedia. This presents an opportunity for pediatric neurosurgeons to participate in the creation of better online patient/parent educational material.

The Impact of a Health Information Technology-Focused Patient-centered Medical Neighborhood Program Among Medicare Beneficiaries in Primary Care Practices: The Effect on Patient Outcomes and Spending.

BACKGROUND: The Center for Medicare & Medicaid Innovation (CMMI) tests new models of paying for or delivering health care services and expands models that improve health outcomes while lowering medical spending. CMMI gave TransforMED, a national learning and dissemination contractor, a 3-year Health Care Innovation Award (HCIA) to integrate health information technology systems into physician practices. This paper estimates impacts of TransforMED's HCIA-funded program on patient outcomes and Medicare parts A and B spending. RESEARCH DESIGN: We compared outcomes for Medicare fee-for-service (FFS) beneficiaries served by 87 treatment practices to outcomes for Medicare FFS beneficiaries served by 286 matched comparison practices, adjusting for differences in outcomes between the 2 groups during a 1-year baseline period. We estimated impacts in 3 evaluation outcome domains: quality-of-care processes, service use, and spending. RESULTS: We estimated the program led to a 7.1% reduction in inpatient admissions and a 5.7% decrease in the outpatient emergency department visits. However, there was no evidence of statistically significant effects in outcomes in either the quality-of-care processes or spending domains. CONCLUSIONS: These results indicate that TransforMED's program reduced service use for Medicare FFS beneficiaries, but also show that the program did not have statistically significant favorable impacts in the quality-of-care processes or spending domains. These results suggest that providing practices with population health management and cost-reporting software-along with technical assistance for how to use them-can complement practices' own patient-centered medical home transformation efforts and add meaningfully to their impacts on service use.

Perceptions about data-informed decisions: an assessment of information-use in high HIV-prevalence settings in South Africa.

BACKGROUND: Information-use is an integral component of a routine health information system and essential to influence policy-making, program actions and research. Despite an increased amount of routine data collected, planning and resource-allocation decisions made by health managers for managing HIV programs are often not based on data. This study investigated the use of information, and barriers to using routine data for monitoring the prevention of mother-to-child transmission of HIV (PMTCT) programs in two high HIV-prevalence districts in South Africa. METHODS: We undertook an observational study using a multi-method approach, including an inventory of facility records and reports. The performance of routine information systems management (PRISM) diagnostic 'Use of Information' tool was used to assess the PMTCT information system for evidence of data use in 57 health facilities in two districts. Twenty-two in-depth interviews were conducted with key informants to investigate barriers to information use in decision-making. Participants were purposively selected based on their positions and experience with either producing PMTCT data and/or using data for management purposes. We computed descriptive statistics and used a general inductive approach to analyze the qualitative data. RESULTS: Despite the availability of mechanisms and processes to facilitate information-use in about two-thirds of the facilities, evidence of information-use (i.e., indication of some form of information-use in available RHIS reports) was demonstrated in 53% of the facilities. Information was inadequately used at district and facility levels to inform decisions and planning, but was selectively used for reporting and monitoring program outputs at the provincial level. The inadequate use of information stemmed from organizational issues such as the lack of a culture of information-use, lack of trust in the data, and the inability of program and facility managers to analyze, interpret and use information. CONCLUSIONS: Managers' inability to use information implied that decisions for program implementation and improving service delivery were not always based on data. This lack of data use could influence the delivery of health care services negatively. Facility and program managers should be provided with opportunities for capacity development as well as practice-based, in-service training, and be supported to use information for planning, management and decision-making.

Emergency Department Involvement in Accountable Care Organizations in Massachusetts: A Survey Study.

STUDY OBJECTIVE: We assess Massachusetts emergency department (ED) involvement and internal ED constructs within accountable care organization contracts. METHODS: An online survey was distributed to 70 Massachusetts ED directors. Questions attempted to assess involvement of EDs in accountable care organizations and the structures in place in EDs-from departmental resources to physician incentives-to help achieve accountable care organization goals of decreasing spending and improving quality. RESULTS: Of responding ED directors, 79% reported alignment between the ED and an accountable care organization. Almost all ED groups (88%) reported bearing no financial risk as a result of the accountable care organization contracts in which their organizations participated. Major obstacles to meeting accountable care organization objectives included care coordination challenges (62%) and lack of familiarity with accountable care organization goals (58%). The most common cost-reduction strategies included ED case management (85%) and information technology (61%). Limitations of this study include that information was self-reported by ED directors, a focus limited to Massachusetts, and a survey response rate of 47%. CONCLUSION: The ED directors perceived that the majority of physicians were not familiar with accountable care organization goals, many challenges remain in coordinating care for patients in the ED, and most EDs have no financial incentives tied to accountable care organizations. EDs in Massachusetts have begun to implement strategies aimed at reducing admissions, utilization, and overall cost, but these strategies are not widespread apart from case management, even in a state with heavy accountable care organization penetration. Our results suggest that Massachusetts EDs still lack clear directives and direct involvement in meeting accountable care organization goals.

National findings regarding health IT use and participation in health care delivery reform programs among office-based physicians.

OBJECTIVE: Our objective was to characterize physicians' participation in delivery and payment reform programs over time and describe how participants in these programs were using health information technology (IT) to coordinate care, engage patients, manage patient populations, and improve quality. MATERIALS AND METHODS: A nationally representative cohort of physicians was surveyed in 2012 (unweighted N = 2567) and 2013 (unweighted N = 2399). Regression analyses used those survey responses to identify associations between health IT use and participation in and attrition from patient-centered medical homes (PCMHs), accountable care organizations (ACOs), and pay-for-performance programs (P4Ps). RESULTS: In 2013, 45% of physicians participated in PCMHs, ACOs, or P4Ps. While participation in each program increased (P < .05) between 2012 and 2013, program attrition ranged from 31-40%. Health IT use was associated with greater program participation (RR = 1.07-1.16). PCMH, ACO, and P4P participants were more likely than nonparticipants to perform quality improvement and patient engagement activities electronically (RR = 1.09-1.14); only ACO participants were more likely to share information electronically (RR = 1.07-1.09). DISCUSSION: Participation in delivery and payment reform programs increased between 2012 and 2013. Participating physicians were more likely to use health IT. There was significant attrition from and switching between PCMHs, ACOs, and P4Ps. CONCLUSION: This work provides the basis for understanding physician participation in and attrition from delivery and payment reform programs, as well as how health IT was used to support those programs. Understanding health IT use by program participants may help to identify factors enabling a smooth transition to alternative payment models.

The impact of health information technologies on quality improvement methodologies' efficiency, throughput and financial outcomes: a retrospective observational study.

BACKGROUND: To evaluate whether or not the utilization of Health Information Technologies (HITs) in Quality Improvement Methodologies (QIMs) has impacts on QIMs' efficiency, throughput and financial outcomes at healthcare organizations and physician practices in the United States. METHODS: This is a retrospective observational study that was conducted between the years of 2014 and 2015 and relied on two data sources: the Dorenfest Institute dataset and the Healthcare Information and Management Systems Society (HIMSS) Analytics data source. In addition, questionnaires were submitted to collect data about how healthcare settings in the United States had been utilizing QIMs in the last 10 years. The submitted questionnaire invitations yielded 144 responses from 134 hospitals and 10 physician practices. Descriptive statistics were used to assess the condition of the data. This involved the utilization of Box-Whisker plots to visualize the data shape, outliers and variation. The Gamma correlation analysis method was used to evaluate the statistical relationships between the QIM outcomes, efficiency, throughput and financial outcomes, and the employment of HIT systems in QIMs. RESULTS: The study found that 99.3% of the healthcare organizations and physician practices had implemented at least one QIM over the last 10 years. In the QIM implementations, the total numbers of reported utilization instances of manual data collection, electronic health records, lab information systems, pharmacy information systems, computerized provider order entry and radiology information systems were 387, 352, 205, 185, 180 and 158, respectively. Based on a 95% confidence limit, the Gamma statistical test has shown an inverse correlation between the exclusive utilization of manual data collection and the overall QIM efficiency (p = 0.047, Gamma = -0.388) and throughput (p = 0.012, Gamma = -0.593) outcomes. However, the overall QIM financial outcomes were found to have a statistically insignificant correlation (p = 0.159). CONCLUSIONS: The study has revealed statistically significant negative impacts on QIMs' efficiency and throughput outcomes when the manual data collection is the sole method used in QIM implementations. This also indicates a positive correlation between the QIMs' efficiency and throughput outcomes and the HIT utilization in QIMs.