Crossing the evidence chasm: building evidence bridges from process changes to clinical outcomes

The sequence of disease-modifying anti-rheumatic drugs: pathways to and predictors of tocilizumab monotherapy

BACKGROUND

There are numerous non-biologic and biologic disease-modifying anti-rheumatic drugs (bDMARDs) for rheumatoid arthritis (RA). Typical sequences of bDMARDs are not clear. Future treatment policies and trials should be informed by quantitative estimates of current treatment practice.

METHODS

We used data from Corrona, a large real-world RA registry, to develop a method for quantifying sequential patterns in treatment with bDMARDs. As a proof of concept, we study patients who eventually use tocilizumab monotherapy (TCZm), an IL-6 antagonist with similar benefits used as monotherapy or in combination. Patients starting a bDMARD were included and were followed using a discrete-state Markov model, observing changes in treatments every 6 months and determining whether they used TCZm. A supervised machine learning algorithm was then employed to determine longitudinal patient factors associated with TCZm use.

RESULTS

7300 patients starting a bDMARD were followed for up to 5 years. Their median age was 58 years, 78% were female, median disease duration was 5 years, and 57% were seropositive. During follow-up, 287 (3.9%) reported use of TCZm with median time until use of 25.6 (11.5, 56.0) months. Eighty-two percent of TCZm use began within 3 years of starting any bDMARD. Ninety-three percent of TCZm users switched from TCZ combination, a TNF inhibitor, or another bDMARD. Very few patients are given TCZm as their first DMARD (0.6%). Variables associated with the use of TCZm included prior use of TCZ combination therapy, older age, longer disease duration, seronegative, higher disease activity, and no prior use of a TNF inhibitor.

CONCLUSIONS

Improved understanding of treatment sequences in RA may help personalize care. These methods may help optimize treatment decisions using large-scale real-world data.

Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record

BACKGROUND

In this new era after the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, the literature on lessons learned with electronic health record (EHR) implementation needs to be revisited.

OBJECTIVES

Our objective was to describe what implementation of a commercially available EHR with built-in quality query algorithms showed us about our care for diabetes and hypertension populations in four safety net clinics, specifically feasibility of data retrieval, measurements over time, quality of data, and how our teams used this data.

METHODS

A cross-sectional study was conducted from October 2008 to October 2012 in four safety-net clinics located in the Midwest and Western United States. A data warehouse that stores data from across the U.S was utilized for data extraction from patients with diabetes or hypertension diagnoses and at least two office visits per year. Standard quality measures were collected over a period of two to four years. All sites were engaged in a partnership model with the IT staff and a shared learning process to enhance the use of the quality metrics.

RESULTS

While use of the algorithms was feasible across sites, challenges occurred when attempting to use the query results for research purposes. There was wide variation of both process and outcome results by individual centers. Composite calculations balanced out the differences seen in the individual measures. Despite using consistent quality definitions, the differences across centers had an impact on numerators and denominators. All sites agreed to a partnership model of EHR implementation, and each center utilized the available resources of the partnership for Center-specific quality initiatives.

CONCLUSIONS

Utilizing a shared EHR, a Regional Extension Center-like partnership model, and similar quality query algorithms allowed safety-net clinics to benchmark and improve the quality of care across differing patient populations and health care delivery models.

Tecnologia móvel à beira do leito: processo de enfermagem informatizado em terapia intensiva a partir da cipe 1.0®

Produção tecnológica e estudo metodológico baseado na evidência que avaliou com os enfermeiros de Terapia Intensiva os critérios de Ergonomia e Usabilidade do Processo de Enfermagem Informatizado desenvolvido em um dispositivo tecnológico móvel a partir da Classificação Internacional para as Práticas de Enfermagem versão 1.0. O estudo foi conduzido de maio a junho de 2008 com 13 avaliadores. Os dados foram analisados mediante o estabelecimento de médias e refletidos a partir da Classificação Internacional para as Práticas de Enfermagem versão 1.0 e das evidências dos estudos na área. O estudo mostra que o sistema possui critérios de Ergonomia e Usabilidade de acordo com a Organização Internacional de Padrões de Sistemas. Sobretudo, o sistema desenvolvido tem aplicação prática porque permite avaliar, intervir e gerenciar o cuidado de enfermagem proporcionando maior segurança, conhecimento e envolvimento dos enfermeiros com as necessidades do paciente à beira do leito.

The value of provider-to-provider telehealth

Telehealth has great potential to improve access to care, but its adoption in routine healthcare has been slow. The lack of clarity about the value of telehealth implementations has been one reason cited for this slow adoption. The Center for Information Technology Leadership has examined the value of telehealth encounters in which there is a provider both with the patient and at a distance from the patient. We considered three models of telehealth: store-and-forward, real-time video, and hybrid systems. Evidence from the literature was extrapolated using a computer simulation, which found that the hybrid model was the most cost effective. The simulation predicted savings of $4.3 billion per year if hybrid telehealth systems were implemented in emergency rooms, prisons, nursing home facilities, and physician offices across the United States. We also conducted a sensitivity analysis to determine which factors most influence costs and savings. Payers, providers, and policymakers should work together to remove the barriers to the adoption of telehealth so that this cost savings can be realized in the U.S. healthcare system.

A framework and approach for assessing the value of personal health records (PHRs)

Personal Health Records (PHRs) are a rapidly expanding area of medical informatics due to the belief that they may improve health care delivery and control costs of care. The PHRs in use or in development today support a myriad of different functions, and consequently offer different value propositions. A comprehensive value analysis of PHRs has never been conducted; such analysis is needed to identify those PHR functions that yield the greatest value to PHR stakeholders. Here we present a framework that could serve as a foundation for determining the value of PHR functions and thereby help optimize PHR development. While the value framework is specific to the domain of PHRs, the authors have successfully applied the associated evaluation methodology in assessing other health care information technologies.