The current capabilities of health information technology to support care transitions

To determine whether HIT currently supports care transitions we interviewed clinicians from several healthcare settings. We learned about HIT tools to help nurses facilitate transitions, but discovered that there are few tools to promote high quality, safe transitions of care. We also found that HIT is rarely employed for patient-centered care coordination mechanisms. In conclusion, HIT tools are typically used within one healthcare setting to prepare for a transition, rather than across healthcare settings.

Overrides of medication-related clinical decision support alerts in outpatients

BACKGROUND

Electronic prescribing is increasingly used, in part because of government incentives for its use. Many of its benefits come from clinical decision support (CDS), but often too many alerts are displayed, resulting in alert fatigue.

OBJECTIVE

To characterize the override rates for medication-related CDS alerts in the outpatient setting, the reasons cited for overrides at the time of prescribing, and the appropriateness of overrides.

METHODS

We measured CDS alert override rates and the coded reasons for overrides cited by providers at the time of prescribing. Our primary outcome was the rate of CDS alert overrides; our secondary outcomes were the rate of overrides by alert type, reasons cited for overrides at the time of prescribing, and override appropriateness for a subset of 600 alert overrides. Through detailed chart reviews of alert override cases, and selective literature review, we developed appropriateness criteria for each alert type, which were modified iteratively as necessary until consensus was reached on all criteria.

RESULTS

We reviewed 157,483 CDS alerts (7.9% alert rate) on 2,004,069 medication orders during the study period. 82,889 (52.6%) of alerts were overridden. The most common alerts were duplicate drug (33.1%), patient allergy (16.8%), and drug-drug interactions (15.8%). The most likely alerts to be overridden were formulary substitutions (85.0%), age-based recommendations (79.0%), renal recommendations (78.0%), and patient allergies (77.4%). An average of 53% of overrides were classified as appropriate, and rates of appropriateness varied by alert type (p<0.0001) from 12% for renal recommendations to 92% for patient allergies.

DISCUSSION

About half of CDS alerts were overridden by providers and about half of the overrides were classified as appropriate, but the likelihood of overriding an alert varied widely by alert type. Refinement of these alerts has the potential to improve the relevance of alerts and reduce alert fatigue.

A novel clinician interface to improve clinician access to up-to-date genetic results

OBJECTIVES

To understand the impact of GeneInsight Clinic (GIC), a web-based tool designed to manage genetic information and facilitate communication of test results and variant updates from the laboratory to the clinics, we measured the use of GIC and the time it took for new genetic knowledge to be available to clinicians.

METHODS

Usage data were collected across four study sites for the GIC launch and post-GIC implementation time periods. The primary outcome measures were the time (average number of days) between variant change approval and notification of clinic staff, and the time between notification and viewing the patient record.

RESULTS

Post-GIC, time between a variant change approval and provider notification was shorter than at launch (average days at launch 503.8, compared to 4.1 days post-GIC). After e-mail alerts were sent at launch, providers clicked into the patient record associated with 91% of these alerts. In the post period, clinic providers clicked into the patient record associated with 95% of the alerts, on average 12 days after the e-mail was sent.

DISCUSSION

We found that GIC greatly increased the likelihood that a provider would receive updated variant information as well as reduced the time associated with distributing that variant information, thus providing a more efficient process for incorporating new genetic knowledge into clinical care.

CONCLUSIONS

Our study results demonstrate that health information technology systems have the potential effectively to assist providers in utilizing genetic information in patient care.

Overrides of clinical decision support alerts in primary care clinics

Clinical Decision Support (CDS) systems can alert physicians about potential clinical risks and suggest suitable treatment alternatives at appropriate times in the health care process. We evaluated the frequency with which physicians overrode medication alerts and the override reasons provided. Data obtained from primary care practices affiliated with two Harvard teaching hospitals were downloaded. Physicians overrode more than half of CDS medication alerts, with formulary, age-based, and renal substitutions the most likely. Many drug-drug and drug-allergy interactions overridden had the potential to cause patient harm.

Physician satisfaction following electronic health record adoption in three massachusetts communities

Background

Despite mandates and incentives for electronic health record (EHR) adoption, little is known about factors predicting physicians’ satisfaction following EHR implementation.

Objective

To measure predictors of physician satisfaction following EHR adoption.

Methods

A total of 163 physicians completed a mailed survey before and after EHR implementation through a statewide pilot project in Massachusetts. Multivariable logistic regression identified predictors of physician satisfaction with their current practice situation in 2009 and generalized estimating equations accounted for clustering.

Results

The response rate was 77% in 2005 and 68% in 2009. In 2005, prior to EHR adoption, 28% of physicians were very satisfied with their current practice situation compared to 25% in 2009, following EHR adoption (P < .001). In multivariate analysis, physician satisfaction following EHR adoption was correlated with self-reported ease of EHR implementation (adjusted odds ratio [OR] = 5.7, 95% CI 2.1 - 16), resources for practice improvement (adjusted OR = 2.6, 95% CI 1.2 - 6.1), pre-intervention satisfaction (adjusted OR = 4.8, 95% CI 1.5 - 15), and stress (adjusted OR = 5.3, 95% CI 1.1 - 25). Male physicians reported lower satisfaction following EHR adoption (adjusted OR = 0.3, 95% CI 0.2 - 0.6).

Conclusions

Interventions to expand EHR use should consider additional support for practices with fewer resources for improvement and ensure ease of EHR implementation. EHR adoption may be a factor in alleviating physicians’ stress. Addressing physicians’ satisfaction prior to practice transformation and anticipating greater dissatisfaction among male physicians will be essential to retaining the physician workforce and ensuring the quality of care they deliver.

Effects of an online personal health record on medication accuracy and safety: a cluster-randomized trial

OBJECTIVE

To determine the effects of a personal health record (PHR)-linked medications module on medication accuracy and safety.

DESIGN

From September 2005 to March 2007, we conducted an on-treatment sub-study within a cluster-randomized trial involving 11 primary care practices that used the same PHR. Intervention practices received access to a medications module prompting patients to review their documented medications and identify discrepancies, generating 'eJournals' that enabled rapid updating of medication lists during subsequent clinical visits.

MEASUREMENTS

A sample of 267 patients who submitted medications eJournals was contacted by phone 3 weeks after an eligible visit and compared with a matched sample of 274 patients in control practices that received a different PHR-linked intervention. Two blinded physician adjudicators determined unexplained discrepancies between documented and patient-reported medication regimens. The primary outcome was proportion of medications per patient with unexplained discrepancies.

RESULTS

Among 121,046 patients in eligible practices, 3979 participated in the main trial and 541 participated in the sub-study. The proportion of medications per patient with unexplained discrepancies was 42% in the intervention arm and 51% in the control arm (adjusted OR 0.71, 95% CI 0.54 to 0.94, p=0.01). The number of unexplained discrepancies per patient with potential for severe harm was 0.03 in the intervention arm and 0.08 in the control arm (adjusted RR 0.31, 95% CI 0.10 to 0.92, p=0.04).

CONCLUSIONS

When used, concordance between documented and patient-reported medication regimens and reduction in potentially harmful medication discrepancies can be improved with a PHR medication review tool linked to the provider's medical record.

TRIAL REGISTRATION NUMBER

This study was registered at ClinicalTrials.gov (NCT00251875).

How physicians document outpatient visit notes in an electronic health record

BACKGROUND

Clinical documentation, an essential process within electronic health records (EHRs), takes a significant amount of clinician time. How best to optimize documentation methods to deliver effective care remains unclear.

OBJECTIVE

We evaluated whether EHR visit note documentation method was influenced by physician or practice characteristics, and the association of physician satisfaction with an EHR notes module.

MEASUREMENTS

We surveyed primary care physicians (PCPs) and specialists, and used EHR and provider data to perform a multinomial logistic regression of visit notes from 2008. We measured physician documentation method use and satisfaction with an EHR notes module and determined the relationship between method and physician and practice characteristics.

RESULTS

Of 1088 physicians, 85% used a single method to document the majority of their visits. PCPs predominantly documented using templates (60%) compared to 34% of specialists, while 38% of specialists predominantly dictated. Physicians affiliated with academic medical centers (OR 1.96, CI (1.23, 3.12)), based at a hospital (OR 1.57, 95% CI (1.04, 2.36)) and using the EHR for longer (OR 1.13, 95% CI (1.03, 1.25)) were more likely to dictate than use templates. Most physicians of 383 survey responders were satisfied with the EHR notes module, regardless of their preferred documentation method.

CONCLUSIONS

Physicians predominantly utilized a single method of visit note documentation and were satisfied with their approach, but the approaches they chose varied. Demographic characteristics were associated with preferred documentation method. Further research should focus on why variation exists, and the quality of the documentation resulting from different methods used.

Usability of a novel clinician interface for genetic results

The complexity and rapid growth of genetic data demand investment in information technology to support effective use of this information. Creating infrastructure to communicate genetic information to healthcare providers and enable them to manage that data can positively affect a patient's care in many ways. However, genetic data are complex and present many challenges. We report on the usability of a novel application designed to assist providers in receiving and managing a patient's genetic profile, including ongoing updated interpretations of the genetic variants in those patients. Because these interpretations are constantly evolving, managing them represents a challenge. We conducted usability tests with potential users of this application and reported findings to the application development team, many of which were addressed in subsequent versions. Clinicians were excited about the value this tool provides in pushing out variant updates to providers and overall gave the application high usability ratings, but had some difficulty interpreting elements of the interface. Many issues identified required relatively little development effort to fix suggesting that consistently incorporating this type of analysis in the development process can be highly beneficial. For genetic decision support applications, our findings suggest the importance of designing a system that can deliver the most current knowledge and highlight the significance of new genetic information for clinical care. Our results demonstrate that using a development and design process that is user focused helped optimize the value of this application for personalized medicine.

Factors associated with difficult electronic health record implementation in office practice

Little is known about physicians' perception of the ease or difficulty of implementing electronic health records (EHR). This study identified factors related to the perceived difficulty of implementing EHR. 163 physicians completed surveys before and after the implementation of EHR in an externally funded pilot program in three Massachusetts communities. Ordinal hierarchical logistic regression was used to identify baseline factors that correlated with physicians' report of difficulty with EHR implementation. Compared with physicians with ownership stake in their practices, physician employees were less likely to describe EHR implementation as difficult (adjusted OR 0.5, 95% CI 0.3 to 1.0). Physicians who perceived their staff to be innovative were also less likely to view EHR implementation as difficult (adjusted OR 0.4, 95% CI 0.2 to 0.8). Physicians who own their practice may need more external support for EHR implementation than those who do not. Innovative clinical support staff may ease the EHR implementation process and contribute to its success.

Randomized controlled trial of health maintenance reminders provided directly to patients through an electronic PHR

BACKGROUND

Provider and patient reminders can be effective in increasing rates of preventive screenings and vaccinations. However, the effect of patient-directed electronic reminders is understudied.

OBJECTIVE

To determine whether providing reminders directly to patients via an electronic Personal Health Record (PHR) improved adherence to care recommendations.

DESIGN

We conducted a cluster randomized trial without blinding from 2005 to 2007 at 11 primary care practices in the Partners HealthCare system.

PARTICIPANTS

A total of 21,533 patients with access to a PHR were invited to the study, and 3,979 (18.5%) consented to enroll.

INTERVENTIONS

Patients in the intervention arm received health maintenance (HM) reminders via a secure PHR "eJournal," which allowed them to review and update HM and family history information. Patients in the active control arm received access to an eJournal that allowed them to input and review information related to medications, allergies and diabetes management.

MAIN MEASURES

The primary outcome measure was adherence to guideline-based care recommendations.

KEY RESULTS

Intention-to-treat analysis showed that patients in the intervention arm were significantly more likely to receive mammography (48.6% vs 29.5%, p = 0.006) and influenza vaccinations (22.0% vs 14.0%, p = 0.018). No significant improvement was observed in rates of other screenings. Although Pap smear completion rates were higher in the intervention arm (41.0% vs 10.4%, p < 0.001), this finding was no longer significant after excluding women's health clinics. Additional on-treatment analysis showed significant increases in mammography (p = 0.019) and influenza vaccination (p = 0.015) for intervention arm patients who opened an eJournal compared to control arm patients, but no differences for any measure among patients who did not open an eJournal.

CONCLUSIONS

Providing patients with HM reminders via a PHR may be effective in improving some elements of preventive care.

Are physicians' perceptions of healthcare quality and practice satisfaction affected by errors associated with electronic health record use?

BACKGROUND

Electronic health record (EHR) adoption is a national priority in the USA, and well-designed EHRs have the potential to improve quality and safety. However, physicians are reluctant to implement EHRs due to financial constraints, usability concerns, and apprehension about unintended consequences, including the introduction of medical errors related to EHR use. The goal of this study was to characterize and describe physicians' attitudes towards three consequences of EHR implementation: (1) the potential for EHRs to introduce new errors; (2) improvements in healthcare quality; and (3) changes in overall physician satisfaction.

METHODS

Using data from a 2007 statewide survey of Massachusetts physicians, we conducted multivariate regression analysis to examine relationships between practice characteristics, perceptions of EHR-related errors, perceptions of healthcare quality, and overall physician satisfaction.

RESULTS

30% of physicians agreed that EHRs create new opportunities for error, but only 2% believed their EHR has created more errors than it prevented. With respect to perceptions of quality, there was no significant association between perceptions of EHR-associated errors and perceptions of EHR-associated changes in healthcare quality. Finally, physicians who believed that EHRs created new opportunities for error were less likely be satisfied with their practice situation (adjusted OR 0.49, p=0.001).

CONCLUSIONS

Almost one third of physicians perceived that EHRs create new opportunities for error. This perception was associated with lower levels of physician satisfaction.

Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems--I-MeDeSA

BACKGROUND

Medication-related decision support can reduce the frequency of preventable adverse drug events. However, the design of current medication alerts often results in alert fatigue and high over-ride rates, thus reducing any potential benefits.

METHODS

The authors previously reviewed human-factors principles for relevance to medication-related decision support alerts. In this study, instrument items were developed for assessing the appropriate implementation of these human-factors principles in drug-drug interaction (DDI) alerts. User feedback regarding nine electronic medical records was considered during the development process. Content validity, construct validity through correlation analysis, and inter-rater reliability were assessed.

RESULTS

The final version of the instrument included 26 items associated with nine human-factors principles. Content validation on three systems resulted in the addition of one principle (Corrective Actions) to the instrument and the elimination of eight items. Additionally, the wording of eight items was altered. Correlation analysis suggests a direct relationship between system age and performance of DDI alerts (p=0.0016). Inter-rater reliability indicated substantial agreement between raters (κ=0.764).

CONCLUSION

The authors developed and gathered preliminary evidence for the validity of an instrument that measures the appropriate use of human-factors principles in the design and display of DDI alerts. Designers of DDI alerts may use the instrument to improve usability and increase user acceptance of medication alerts, and organizations selecting an electronic medical record may find the instrument helpful in meeting their clinicians' usability needs.

Ambulatory prescribing errors among community-based providers in two states

OBJECTIVE

Little is known about the frequency and types of prescribing errors in the ambulatory setting among community-based, primary care providers. Therefore, the rates and types of prescribing errors were assessed among community-based, primary care providers in two states.

MATERIAL AND METHODS

A non-randomized cross-sectional study was conducted of 48 providers in New York and 30 providers in Massachusetts, all of whom used paper prescriptions, from September 2005 to November 2006. Using standardized methodology, prescriptions and medical records were reviewed to identify errors.

RESULTS

9385 prescriptions were analyzed from 5955 patients. The overall prescribing error rate, excluding illegibility errors, was 36.7 per 100 prescriptions (95% CI 30.7 to 44.0) and did not vary significantly between providers from each state (p=0.39). One or more non-illegibility errors were found in 28% of prescriptions. Rates of illegibility errors were very high (175.0 per 100 prescriptions, 95% CI 169.1 to 181.3). Inappropriate abbreviation and direction errors also occurred frequently (13.4 and 4.2 errors per 100 prescriptions, respectively). Reviewers determined that the vast majority of errors could have been eliminated through the use of e-prescribing with clinical decision support.

DISCUSSION

Prescribing errors appear to occur at very high rates among community-based primary care providers, especially when compared with studies of academic-affiliated providers that have found nearly threefold lower error rates. Illegibility errors are particularly problematical.

CONCLUSIONS

Further characterizing prescribing errors of community-based providers may inform strategies to improve ambulatory medication safety, especially e-prescribing.

TRIAL REGISTRATION NUMBER

http://www.clinicaltrials.gov, NCT00225576.

Massachusetts e-Health Project increased physicians' ability to use registries, and signals progress toward better care

The ability to generate and use registries--lists of patients with specific conditions, medications, or test results--is considered a measure of physicians' engagement with electronic health record systems and a proxy for high-quality health care. We conducted a pre-post survey of registry capability among physicians participating in the Massachusetts eHealth Collaborative, a four-year, $50 million health information technology program. Physicians who participated in the program increased their ability to generate some types of registries--specifically, for laboratory results and medication use. Our analysis also suggested that physicians who used their electronic health records more intensively were more likely to use registries, particularly in caring for patients with diabetes, compared to physicians reporting less avid use of electronic health records. This statewide project may be a viable model for regional efforts to expand health information technology and improve the quality of care.

Care transitions as opportunities for clinicians to use data exchange services: how often do they occur?

BACKGROUND

The electronic exchange of health information among healthcare providers has the potential to produce enormous clinical benefits and financial savings, although realizing that potential will be challenging. The American Recovery and Reinvestment Act of 2009 will reward providers for 'meaningful use' of electronic health records, including participation in clinical data exchange, but the best ways to do so remain uncertain.

METHODS

We analyzed patient visits in one community in which a high proportion of providers were using an electronic health record and participating in data exchange. Using claims data from one large private payer for individuals under age 65 years, we computed the number of visits to a provider which involved transitions in care from other providers as a percentage of total visits. We calculated this 'transition percentage' for individual providers and medical groups.

RESULTS

On average, excluding radiology and pathology, approximately 51% of visits involved care transitions between individual providers in the community and 36%-41% involved transitions between medical groups. There was substantial variation in transition percentage across medical specialties, within specialties and across medical groups. Specialists tended to have higher transition percentages and smaller ranges within specialty than primary care physicians, who ranged from 32% to 95% (including transitions involving radiology and pathology). The transition percentages of pediatric practices were similar to those of adult primary care, except that many transitions occurred among pediatric physicians within a single medical group.

CONCLUSIONS

Care transition patterns differed substantially by type of practice and should be considered in designing incentives to foster providers' meaningful use of health data exchange services.

Self-reported familiarity with acute respiratory infection guidelines and antibiotic prescribing in primary care

OBJECTIVE

Familiarity with guidelines is generally thought to be associated with guideline implementation, adherence and improved quality of care. We sought to determine if self-reported familiarity with acute respiratory infection (ARI) antibiotic treatment guidelines was associated with reduced or more appropriate antibiotic prescribing for ARIs in primary care.

DESIGN

SETTING

PARTICIPANTS

and

MAIN OUTCOME MEASURES

We surveyed primary care clinicians about their familiarity with ARI antibiotic treatment guidelines and linked responses to administrative diagnostic and prescribing data for non-pneumonia ARI visits.

RESULTS

Sixty-five percent of clinicians responded to the survey question about guideline familiarity. There were 208 survey respondents who had ARI patient visits during the study period. Respondents reported being 'not at all' (7%), 'somewhat' (30%), 'moderately' (45%) or 'extremely' (18%) familiar with the guidelines. After dichotomizing responses, compared with clinicians who reported being less familiar with the guidelines, clinicians who reported being more familiar with the guidelines had higher rates of antibiotic prescribing for all ARIs combined (46% versus 38%; n = 11 164; P < 0.0001), for antibiotic-appropriate diagnoses (69% versus 59%; n = 3213; P < 0.0001) and for non-antibiotic appropriate diagnoses (38% versus 28%; n = 7951; P < 0.0001). After adjusting for potential confounders, self-reported guideline familiarity was an independent predictor of increased antibiotic prescribing (odds ratio, 1.36; 95% confidence interval, 1.25-1.48).

CONCLUSIONS

Self-reported familiarity with an ARI antibiotic treatment guideline was, seemingly paradoxically, associated with increased antibiotic prescribing. Self-reported familiarity with guidelines should not be assumed to be associated with consistent guideline adherence or higher quality of care.

Effects of documentation-based decision support on chronic disease management

OBJECTIVE

To evaluate whether a new documentation-based clinical decision support system (CDSS) is effective in addressing deficiencies in the care of patients with coronary artery disease (CAD) and diabetes mellitus (DM).

STUDY DESIGN

Controlled trial randomized by physician.

METHODS

We assigned primary care physicians (PCPs) in 10 ambulatory practices to usual care or the CAD/DM Smart Form for 9 months. The primary outcome was the proportion of deficiencies in care that were addressed within 30 days after a patient visit.

RESULTS

The Smart Form was used for 5.6% of eligible patients. In the intention-to-treat analysis, patients of intervention PCPs had a greater proportion of deficiencies addressed within 30 days of a visit compared with controls (11.4% vs 10.1%, adjusted and clustered odds ratio =1.14; 95% confidence interval, 1.02-1.28; P = .02). Differences were more pronounced in the "on-treatment" analysis: 17.0% of deficiencies were addressed after visits in which the Smart Form was used compared with 10.6% of deficiencies after visits in which it was not used (P <.001). Measures that improved included documentation of smoking status and prescription of antiplatelet agents when appropriate.

CONCLUSIONS

Overall use of the CAD/DM Smart Form was low, and improvements in management were modest. When used, documentation-based decision support shows promise, and future studies should focus on refining such tools, integrating them into current electronic health record platforms, and promoting their use, perhaps through organizational changes to primary care practices.

Electronic health record feedback to improve antibiotic prescribing for acute respiratory infections

OBJECTIVE

To examine whether the Acute Respiratory Infection (ARI) Quality Dashboard, an electronic health record (EHR)-based feedback system, changed antibiotic prescribing.

STUDY DESIGN

Cluster randomized, controlled trial.

METHODS

We randomly assigned 27 primary care practices to receive the ARI Quality Dashboard or usual care. The primary outcome was the intent-to-intervene antibiotic prescribing rate for ARI visits. We also compared antibiotic prescribing between ARI Quality Dashboard users and nonusers.

RESULTS

During the 9-month intervention, there was no difference between intervention and control practices in antibiotic prescribing for all ARI visits (47% vs 47%; P = .87), antibiotic-appropriate ARI visits (65% vs 64%; P = .68), or non–antibiotic-appropriate ARI visits (38% vs 40%; P = .70). Among the 258 intervention clinicians, 72 (28%) used the ARI Quality Dashboard at least once. These clinicians had a lower overall ARI antibiotic prescribing rate (42% vs 50% for nonusers; P = .02). This difference was due to less antibiotic prescribing for non-antibiotic-appropriate ARIs (32% vs 43%; P = .004), including nonstreptococcal pharyngitis (31% vs 41%; P = .01) and nonspecific upper respiratory infections (19% vs 34%; P = .01).

CONCLUSIONS

The ARI Quality Dashboard was not associated with an overall change in antibiotic prescribing for ARIs, although when used, it was associated with improved antibiotic prescribing. EHR-based quality reporting, as part of "meaningful use," may not improve care in the absence of other changes to primary care practice.

Implementing practice-linked pre-visit electronic journals in primary care: patient and physician use and satisfaction

Electronic health records (EHRs) and EHR-connected patient portals offer patient-provider collaboration tools for visit-based care. During a randomized controlled trial, primary care patients completed pre-visit electronic journals (eJournals) containing EHR-based medication, allergies, and diabetes (study arm 1) or health maintenance, personal history, and family history (study arm 2) topics to share with their provider. Assessment with surveys and usage data showed that among 2027 patients invited to complete an eJournal, 70.3% submitted one and 71.1% of submitters had one opened by their provider. Surveyed patients reported they felt more prepared for the visit (55.9%) and their provider had more accurate information about them (58.0%). More arm 1 versus arm 2 providers reported that eJournals were visit-time neutral (100% vs 53%; p<0.013), helpful to patients in visit preparation (66% vs 20%; p=0.082), and would recommend them to colleagues (78% vs 22%; p=0.0143). eJournal integration into practice warrants further study.

Physician opinions of the importance, accessibility, and quality of health information and their use of the information

This study compared physicians' perceptions of the importance, accessibility, and quality of different types of patient information that could potentially be available with Health Information Exchange (HIE) with how they use patient information. The results showed that while the physicians rated the majority of 11 data types as very important, accessible, and of high quality, they regularly used only a few data types before having access to a new HIE system. The three major types of information regularly used by the physicians were diagnoses, current medication lists, and allergy information. This study provides new data about how opinions on the importance of information relate to reported information use. Our findings suggest that having important, accessible, and high quality information does not necessarily lead to routine use, but that much of the early value of HIE may lie in improving access to a few data areas.

Documentation-based clinical decision support to improve antibiotic prescribing for acute respiratory infections in primary care: a cluster randomised controlled trial

BACKGROUND AND OBJECTIVE

Clinical guidelines discourage antibiotic prescribing for many acute respiratory infections (ARIs), especially for non-antibiotic appropriate diagnoses. Electronic health record (EHR)-based clinical decision support has the potential to improve antibiotic prescribing for ARIs.

METHODS

We randomly assigned 27 primary care clinics to receive an EHR-integrated, documentation-based clinical decision support system for the care of patients with ARIs - the ARI Smart Form - or to offer usual care. The primary outcome was the antibiotic prescribing rate for ARIs in an intent-to-intervene analysis based on administrative diagnoses.

RESULTS

During the intervention period, patients made 21 961 ARI visits to study clinics. Intervention clinicians used the ARI Smart Form in 6% of 11 954 ARI visits. The antibiotic prescribing rate in the intervention clinics was 39% versus 43% in the control clinics (odds ratio (OR), 0.8; 95% confidence interval (CI), 0.6-1.2, adjusted for clustering by clinic). For antibiotic appropriate ARI diagnoses, the antibiotic prescribing rate was 54% in the intervention clinics and 59% in the control clinics (OR, 0.8; 95% CI, 0.5-1.3). For non-antibiotic appropriate diagnoses, the antibiotic prescribing rate was 32% in the intervention clinics and 34% in the control clinics (OR, 0.9; 95% CI, 0.6-1.4). When the ARI Smart Form was used, based on diagnoses entered on the form, the antibiotic prescribing rate was 49% overall, 88% for antibiotic appropriate diagnoses and 27% for non-antibiotic appropriate diagnoses. In an as-used analysis, the ARI Smart Form was associated with a lower antibiotic prescribing rate for acute bronchitis (OR, 0.5; 95% CI, 0.3-0.8).

CONCLUSIONS

The ARI Smart Form neither reduced overall antibiotic prescribing nor significantly improved the appropriateness of antibiotic prescribing for ARIs, but it was not widely used. When used, the ARI Smart Form may improve diagnostic accuracy compared to administrative diagnoses and may reduce antibiotic prescribing for certain diagnoses.

Physician attitudes toward health information exchange: results of a statewide survey

OBJECTIVE

To assess physicians' attitudes toward health information exchange (HIE) and physicians' willingness to pay to participate in HIE.

DESIGN

We conducted a cross-sectional mail survey of 1296 licensed physicians (77% response rate) in Massachusetts in 2007.

MEASUREMENTS

Perceptions of the potential effects of HIE on healthcare costs, quality of care, clinicians' time, patients' privacy concerns, and willingness to pay for HIE.

RESULTS

After excluding 253 physicians who did not see any outpatients, we analyzed 1043 responses. Overall, 70% indicated that HIE would reduce costs, while 86% said it would improve quality and 76% believed that it would save time. On the other hand, 16% reported being very concerned about HIE's effect on privacy, while 55.0% were somewhat concerned and 29% not at all concerned. Slightly more than half of the physicians (54%) said they would be willing to pay an unspecified monthly fee to participate in HIE, but only 37% said they would be willing to pay $150 per month for it. Primary care physicians and those in larger practices tended to have more positive attitudes toward HIE.

CONCLUSIONS

Physicians perceive that HIE will have generally positive effects, though a considerable fraction harbor concerns about privacy. While physicians may be willing to participate in HIE, they are not consistently willing to pay to participate. HIE business models that require substantial physician subscription fees may face significant challenges.

Survey analysis of patient experience using a practice-linked PHR for type 2 diabetes mellitus

Patient experience was assessed by survey as part of a large, randomized controlled trial of a secure, practice-linked personal health record called Patient Gateway at Partners HealthCare in Boston, MA. The subjects were patients with Type 2 diabetes who prepared for their upcoming primary care visit using a previsit electronic journal. The journal generated a diabetes care plan using patient chart information and patient responses to questions in preparation for a scheduled office visit. Review of 37 surveys revealed that a diabetes care plan took 5-9 minutes (modal) to be created by the patient and helped many patients to feel more prepared for their visit (60%) and give more accurate information to their provider (53%). Study limitations included small numbers of survey participants and a bias toward white, better educated patients with better controlled diabetes. Nevertheless, the electronic journal is a promising tool for visit preparation and process improvement.

Imminent adopters of electronic health records in ambulatory care

BACKGROUND

Although evidence suggests electronic health records (EHRs) can improve quality and efficiency, provider adoption rates in the US ambulatory setting are relatively low. Prior studies have identified factors correlated with EHR use, but less is known about characteristics of physicians on the verge of adoption.

OBJECTIVE

To compare characteristics of physicians who are imminent adopters of EHRs with EHR users and non-users.

DESIGN AND PARTICIPANTS

A survey was mailed (June - November 2005) to a stratified random sample of all medical practices in Massachusetts. One physician from each practice (n=1884) was randomly selected to participate. Overall, 1345 physicians (71.4%) responded to the survey, with 1082 eligible for analysis due to exclusion criteria. 'Imminent adopters' were those planning to adopt EHRs within 12 months.

MEASUREMENTS

We assessed physician and practice characteristics, availability of technology, barriers to adoption or expansion of health information technology (HIT), computer proficiency, and financial considerations.

RESULTS

Compared to non-users, imminent adopters were younger, more experienced with technology, and more often in practices engaged in quality improvement. More imminent adopters owned or partly owned their practices (57.4%) than users (33.5%; p<0.001), but fewer imminent adopters owned their practices than non-users (65.7%; p<0.001). Additionally, more imminent adopters (26.0%) reported personal financial incentives for HIT use than users (14.8%; p<0.001) and non-users (10.8%; p<0.001).

CONCLUSIONS

Imminent adopters of EHRs differed from users and non-users. Financial considerations appear to play a major role in adoption decisions. Knowledge of these differences may assist policy-makers and healthcare leaders as they work to increase EHR adoption rates.