Literature DB >> 23268489

Primary care practitioners' views on test result management in EHR-enabled health systems: a national survey.

Hardeep Singh1, Christiane Spitzmueller, Nancy J Petersen, Mona K Sawhney, Michael W Smith, Daniel R Murphy, Donna Espadas, Archana Laxmisan, Dean F Sittig.   

Abstract

CONTEXT: Failure to notify patients of test results is common even when electronic health records (EHRs) are used to report results to practitioners. We sought to understand the broad range of social and technical factors that affect test result management in an integrated EHR-based health system.
METHODS: Between June and November 2010, we conducted a cross-sectional, web-based survey of all primary care practitioners (PCPs) within the Department of Veterans Affairs nationwide. Survey development was guided by a socio-technical model describing multiple inter-related dimensions of EHR use.
FINDINGS: Of 5001 PCPs invited, 2590 (51.8%) responded. 55.5% believed that the EHRs did not have convenient features for notifying patients of test results. Over a third (37.9%) reported having staff support needed for notifying patients of test results. Many relied on the patient's next visit to notify them for normal (46.1%) and abnormal results (20.1%). Only 45.7% reported receiving adequate training on using the EHR notification system and 35.1% reported having an assigned contact for technical assistance with the EHR; most received help from colleagues (60.4%). A majority (85.6%) stayed after hours or came in on weekends to address notifications; less than a third reported receiving protected time (30.1%). PCPs strongly endorsed several new features to improve test result management, including better tracking and visualization of result notifications.
CONCLUSIONS: Despite an advanced EHR, both social and technical challenges exist in ensuring notification of test results to practitioners and patients. Current EHR technology requires significant improvement in order to avoid similar challenges elsewhere.

Entities:  

Keywords:  diagnostic errors; electronic health records; health information technology; lack of follow-up; medical errors; missed test results

Mesh:

Year:  2012        PMID: 23268489      PMCID: PMC3721157          DOI: 10.1136/amiajnl-2012-001267

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


Background

Failure to follow up on abnormal test results (‘missed test results’) is a global patient safety concern.1–5 Electronic health records (EHRs) are increasingly used to notify practitioners of abnormal test results.6–8 EHR-based test result notification systems can reduce, if not eliminate, many of the communication problems inherent with paper-based records.9–12 However, ensuring that test results receive appropriate follow-up remains challenging even with electronic transmission.5 13 14 Previous studies of practitioner responses to abnormal test result notifications through EHRs found that 7–8% of abnormal test alerts had no evidence of timely follow-up, even when practitioners had electronically acknowledged result receipt.10 11 14 Although the proposed Stage 2 meaningful use regulations15 to be implemented in 2014 in the USA include structured laboratory result reporting functionality, little is known about how to optimize EHR-based test result management. Currently, several major EHR vendors employ a reporting functionality whereby providers receive notification of results in their inboxes (similar to email). This functionality is being increasingly adopted across EHRs and is likely to have a great impact on future test result management practices. In complex healthcare settings that use EHRs, test result management encompasses many contextual factors such as clinical workflow, user behaviors, and organizational policies and procedures.16 17 Electronically transmitted test results may be missed or overlooked for a variety of reasons related to EHR design and use.18 19 For instance, while most EHRs deliver abnormal results to practitioners through an inbox, the inbox often also holds less important data (‘noise’) that could dilute important or urgent information (‘signals’).19 Other factors contributing to missed test results include policies and procedures related to the use of EHRs, such as unclear responsibility for follow-up of abnormal results when multiple providers are involved in patient care.10 Thus, contextual factors20 that affect test results management derive from both technical and social dimensions of the EHR-enabled health care system. To better understand contextual factors that affect practitioners’ test results management practices within the setting of a comprehensive EHR, we designed and administered a nationwide survey to primary care practitioners (PCPs) practicing in all facilities of the Department of Veterans Affairs (VA). Our objective was to use survey data on PCPs’ experiences, practices, and preferences to create a body of knowledge upon which to base future improvements in EHR-based test result reporting systems.

Methods

Between June 10, 2010 and November 5, 2010, we conducted a cross-sectional, web-based survey of PCPs in VA settings nationwide. The local institutional review board approved the study. Within the VA system, most patients are assigned to staff PCPs, who serve as a coordinating hub for most care and thus depend heavily on the clinical information sent to their EHR inboxes. A smaller number of patients are assigned to trainees or subspecialists who see patients on a part-time basis, usually one half-day per week. Thus, these practitioners have a smaller panel (the total number of patients a PCP is responsible for) due to their other competing responsibilities. Our previous experience suggested that staff PCPs’ experiences, practices, and preferences related to test result management might be different from those of trainees and subspecialists who serve as PCPs.16 18 Thus, we used a large administrative VA database, the Veterans Health Administration Support Service Center Clinical Care: Primary Care Management Module, to identify all PCPs with a minimum primary care patient panel size of 250 (N=5001). This strategy allowed us to exclude trainees and subspecialists because they are generally expected to have small panel sizes.

Survey development

Survey development was guided by literature review1 6 21–34 and by a conceptual model describing multiple inter-related dimensions of EHR use (see ‘Survey content areas’ section below; also see table 1 which lists model dimensions).35 A psychometrician (CS) guided the survey development process, which included item writing and refinement, soliciting input from subject matter experts in EHR use, and iterative content review. After refining all survey items, we pilot tested the survey with 10 PCPs for readability, clarity, and ease of completion in a web-based format. With the exception of demographic items and 10 open-ended items, items were rated on a 5-point Likert-type scale with response options ranging from ‘strongly disagree’ to ‘strongly agree.’ Survey completion time was approximately 20–25 min.
Table 1

Eight interactive socio-technical health information technology (HIT) dimensions addressed for missed test results

DimensionDefinition
Hardware and softwareEquipment and software required to run the healthcare applications
Clinical contentData, information, and knowledge entered, displayed, or transmitted in EHRs
Human computer interfaceAspects of the EHR system that users interact with (eg, see, touch, or hear)
PeopleHumans involved in the design, development, implementation, and use of HIT
Workflow and communicationWork processes needed to ensure that each patient receives the care they need at the time they need it
Organizational policies and proceduresInternal culture, structures, policies, and procedures that affect all aspects of HIT management and healthcare
External rules, regulations, and pressuresExternal forces that facilitate or place constraints on the design, development, implementation, use, and evaluation of HIT in the clinical setting
System measurement and monitoringMeasurement of system availability, use, effectiveness, and unintended consequences of system use

EHR, electronic health record.

Eight interactive socio-technical health information technology (HIT) dimensions addressed for missed test results EHR, electronic health record.

Survey content areas

Hardware and software, content, and user interface

The VA uses the Computerized Patient Record System (CPRS) as its EHR in all its facilities. CPRS uses the ‘View Alert’ notification system to communicate test results (as well as other important clinical information) to practitioners through an inbox. The View Alert system also displays notifications as alerts with various priorities. Practitioners see their patients’ alerts each time they log in to the system or switch between patient records (figure 1). Alerts remain within the inbox until read by the practitioner, but they may be removed automatically if unopened after a certain time period (eg, 14 or 30 days). Although this functionality is used across the VA, individual facilities have discretion over which types of alerts practitioners must receive (eg, they can allow flexibility for practitioners to turn off certain notifications, such as normal test results). Our survey items assessed PCPs’ perceptions of the View Alert notification system, including their views on the content and quantity of alerts received, perceived ease of use, and use of the EHR's features for alert processing and follow-up.
Figure 1

Alert notification window in the VA Computerized Patient Record System (CPRS).

Alert notification window in the VA Computerized Patient Record System (CPRS).

People

Our survey assessed several characteristics of the respondents including age, gender, race, job classification (ie, academic physician, non-academic physician, nurse practitioner, physician assistant), years employed at the VA, native language (English or other), perceived adequacy of training related to the EHR notification system, and prior use of an EHR other than CPRS.

Workflow and communication

Workflow items assessed perceptions of alert burden, processes related to notifying patients of their test results, and practices used to support alert management.

Organizational features

These items assessed institutional cultural norms and expectancies regarding management of alerts, technical support for alert notifications, organizational support to facilitate patient notification, and the amount of protected time (ie, specifically designated and compensated time) clinicians were given by their organizations to manage alerts. Protected time was measured in hours per week; all other response choices and coding were the same as for other item categories on the 5-point Likert-type scale.

External rules and regulations

We assessed whether practitioners were aware of and adhered to a national VA policy36 released in 2009 requiring notification of patients within 14 days for both normal and abnormal test results.

System measurement and monitoring

We assessed perceptions of practices related to measuring and monitoring alert follow-up at the system level.

New features and functions to improve EHR-based notification

We inquired whether PCPs would endorse several potential strategies to improve EHR-based notification. Strategies were selected based on thematic areas of improvement identified in previous work8 10 11 16 18 37 and addressed both technical and social dimensions.

Survey administration

We solicited support from the section chiefs of primary care at 142 VA facilities nationwide by asking them to email all PCPs at their respective sites to orient them to the project. We subsequently invited all participants by sending a personalized email from the principal investigator (HS) that described the study and provided a link to the web-based survey instrument. To increase response rates, invitation emails and subsequent reminders were followed by telephone attempts to reach non-respondents. In keeping with VA policies, we did not use monetary or other incentives for participation.

Data analysis

Data were downloaded from the internet survey administration service and were analyzed using SPSS statistical software. We generated descriptive statistics to summarize the characteristics of respondents and to aggregate responses to other survey items using descriptive statistics. Likert-type item responses were collapsed into three categories of ‘agree or strongly agree,’ ‘disagree or strongly disagree,’ and ‘neither agree nor disagree.’

Results

Of 5001 PCPs invited, 2590 (51.8%) responded. Figure 2 shows the geographic distribution of the respondents by Veterans Integrated Service Network (regional divisions of VA). Table 2 shows the characteristics of the respondents. Characteristics of non-respondents were not available for comparison with the respondent group. The vast majority of respondents had considerable experience with the VA EHR, having worked within the VA for 2 or more years. Less than half (45.7%) reported having received sufficient training on the View Alert system, and only a minority (13.7%) reported any refresher training (data not shown in the table). Nevertheless, the majority believed they had the knowledge (74.4%) and proficiency (81.8%) necessary to use the View Alert system (data not shown in the table). Nearly half (46.6%) also had prior experience using a non-VA EHR. Of these, only 19% of providers thought that the non-VA EHRs they used were better than VA's CPRS; 55% indicated that the non-VA EHR they used was overall inferior to CPRS, and 26% perceived it was about the same. No particular non-VA EHR was consistently identified as better or worse than CPRS.
Figure 2

Distribution of respondents within 21 Veterans Affairs Networks across the USA (Veterans Integrated Service Networks or VISNs).

Table 2

Characteristics of survey respondents (n=2590)

Characteristicn (%)
Age
 20–39338 (13.1)
 40–49685 (26.4)
 50–59961 (37.1)
 60 and over402 (15.5)
 Missing204 (7.9)
Gender
 Male1080 (41.7)
 Female1343 (51.9)
 Missing167 (6.4)
Race
 White1630 (62.9)
 Black118 (4.6)
 Asian431 (16.6)
 Other188 (7.3)
 Missing223 (8.6)
Job classification
 Physician, academic438 (16.9)
 Physician, non-academic1228 (47.4)
 Nurse practitioner561 (21.7)
 Physician assistant204 (7.9)
 Missing159 (6.1)
Years at VA
 <2437 (16.9)
 2–101219 (47.1)
 11–20589 (22.7)
 >20201 (7.8)
 Missing144 (5.6)
Native language
 English1911 (73.8)
 Other498 (19.2)
 Missing181 (7.0)

VA, Department of Veterans Affairs.

Characteristics of survey respondents (n=2590) VA, Department of Veterans Affairs. Distribution of respondents within 21 Veterans Affairs Networks across the USA (Veterans Integrated Service Networks or VISNs). Table 3 shows the distribution of responses of selected items related to use and perceptions of the EHR technology (hardware/software, clinical content, and human–computer interface). Although most PCPs found the EHR alert notification system easy to use, more than half believed that the EHR software did not have convenient features for notifying patients of test results. Less than two-thirds of practitioners used a basic sorting feature for alerts, and just over a third used an enhanced functionality to process alerts. Both of these features are intended to promote efficiency when managing alerts. In addition, a significant proportion of PCPs had not altered their alert notification filters to help customize the amount and types of alerts they received. Thus, they received only notifications determined important (and set as default) by the facility (43.0%; data not shown).
Table 3

Technology-related items associated with EHR-based test result management

Agree or strongly agreeDisagree or strongly disagreeNeither agree nor disagreeMissing
Itemn (%)n (%)n (%)n (%)
Hardware and software
 CPRS has convenient features for notifying patients of test results628 (24.2)1437 (55.5)421 (16.3)104 (4.0)
 Has a convenient way of generating letters in CPRS for patient notification1091 (42.1)1042 (40.2)347 (13.4)110 (4.2)
Has an automated voice messaging system that can notify patients of test results38 (1.5)2337 (90.2)113 (4.4)102 (3.9)
 Uses My HealtheVet* to notify patients of test results45 (1.7)2308 (89.1)134 (5.2)103 (4.0)
Clinical content
 Acknowledges (ie, clicks on) all high priority alert notifications2365 (91.3)80 (3.1)112 (4.3)33 (1.3)
 Follows up on all high priority alert notifications received2372 (91.6)77 (3.0)97 (3.7)44 (1.7)
 Acknowledges all alert notifications received regardless of priority2169 (83.7)228 (8.8)146 (5.6)47 (1.8)
Human–computer interface
 Finds the alert notification system in CPRS easy to use1842 (71.1)326 (12.6)393 (15.2)29 (1.1)
 Follows up on all alert notifications received1968 (76.0)311 (12.0)258 (10.0)53 (2.0)
 Alert notification system in CPRS makes it possible for providers to miss test results1440 (55.6)555 (21.4)506 (19.5)89 (3.4)
 Sorts alert notifications when necessary according to urgency, patient name, location, or alert date/time1625 (62.7)562 (21.7)381 (14.7)22 (0.8)
 Uses the Process All function of the system when necessary981 (37.9)1219 (47.1)367 (14.2)23 (0.9)

Italicized items are discussed in the text.

*My HealtheVet is a free, online personal health record for VA patients.

†CPRS (Computerized Patient Record System) is the Department of Veterans Affairs electronic health record software.

‡The Process All feature allows clinicians to efficiently process alerts one after another without returning to the View Alert window.

EHR, electronic health record; VA, Department of Veterans Affairs.

Technology-related items associated with EHR-based test result management Italicized items are discussed in the text. *My HealtheVet is a free, online personal health record for VA patients. CPRS (Computerized Patient Record System) is the Department of Veterans Affairs electronic health record software. ‡The Process All feature allows clinicians to efficiently process alerts one after another without returning to the View Alert window. EHR, electronic health record; VA, Department of Veterans Affairs. Table 4 shows the distribution of responses for survey items related to workflow and communication. A majority of practitioners stayed after hours or came in on weekends to address alerts; only about a third had remote access to the EHR to manage alerts after hours. More than half of PCPs electronically assigned a surrogate or covering practitioner to handle their alerts when out of the office, a process we defined as ‘electronic hand-off.’ Just over a third reported having the help needed for notifying patients of test results. Patient notification varied between normal and abnormal results. Almost half of PCPs reported that they did not immediately notify patients of normal test results and relied on the patient's next visit to notify them, whereas about one-fifth relied on the next visit to notify patients of abnormal results.
Table 4

Workflow and communication items associated with EHR-based test result management

Agree or strongly agreeDisagree or strongly disagreeNeither agree nor disagreeMissing
Itemn (%)n (%)n (%)n (%)
Workflow and communication
Alert burden
  The number of alerts exceeds what they can effectively manage1803 (69.6)321 (12.4)432 (16.7)34 (1.3)
  Receives too many alerts to easily focus on most important ones2078 (80.2)215 (8.3)244 (9.4)53 (2.0)
  In the past year, missed test results that led to delayed patient care772 (29.8)1212 (46.8)537 (20.7)69 (2.7)
  Uses remote access after hours or on weekends to manage alerts893 (34.5)1327 (51.2)320 (12.4)50 (1.9)
  Has remote access to CPRS953 (36.8)1599 (61.7)38 (1.5)
  Stays after hours or comes in on weekends to manage alerts2218 (85.6)219 (8.5)105 (4.1)48 (1.9)
  Wishes the system provided them with more alerts151 (5.8)2190 (84.6)208 (8.0)41 (1.6)
  Receives too many alert notifications per day2251 (86.9)164 (6.3)166 (6.4)9 (0.3)
  Uses additional paper-based methods to help follow test results1451 (56.0)1103 (42.6)
  Gets too many FYI only alert notifications that require a signature even though no action on their part is required2071 (80.0)250 (9.7)258 (10.0)11 (0.4)
  Often receives alert notifications where they are unsure as to why they were sent to them1601 (61.8)539 (20.8)432 (16.7)18 (0.7)
Patient notification
  Consistently notifies patients of abnormal test results2146 (82.9)151 (5.8)185 (7.1)108 (4.2)
  Has the help needed for notifying patients of test results981 (37.9)1180 (45.6)332 (12.8)97 (3.7)
  Consistently notifies patients of normal test results1167 (45.1)902 (34.8)415 (16.0)106 (4.1)
  Relies on a patient's next visit to notify them of their abnormal test results521 (20.1)1556 (60.1)407 (15.7)106 (4.1)
  Relies on a patient's next visit to notify them of their normal test results1193 (46.1)858 (33.1)431 (16.6)108 (4.2)
Use of surrogates
  Alert notifications related to surrogates create new safety concerns1339 (51.7)482 (18.6)730 (28.2)39 (1.5)
  Has support staff to assist with management of test result alert notifications873 (33.7)1304 (50.3)311 (12.0)102 (3.9)
  Assigns a surrogate to take care of alert notifications when out of the office1525 (58.9)788 (30.4)239 (9.2)38 (1.5)

Italicized items are discussed in the text.

CPRS, Computerized Patient Record System; EHR, electronic health record; FYI, for your information.

Workflow and communication items associated with EHR-based test result management Italicized items are discussed in the text. CPRS, Computerized Patient Record System; EHR, electronic health record; FYI, for your information. Table 5 summarizes responses to items that assessed people and organizational features affecting alert management. Only about a third of respondents reported having or accessing an assigned technical contact to help with alerts; most admitted receiving help with alert management from colleagues. About a third of respondents reported receiving protected time for alert management; of these, most respondents reported it to be at least 4 hours per week (69.8%).
Table 5

Organizational and people items associated with EHR-based test result management

Agree or strongly agree
Disagree or strongly disagreeNeither agree nor disagree
Missing
Itemn (%)n (%)n (%)n (%)
Organizational policies and procedures
Technical support
  Clinic has an assigned technical contact that can be accessed for help with alert notifications908 (35.1)947 (36.6)651 (25.1)84 (3.2)
  IT help person provides useful resources621 (24.0)882 (34.1)988 (38.1)99 (3.8)
  With questions about or problems with alert notifications, gets the help needed from IT887 (34.2)809 (31.2)807 (31.2)87 (3.4)
  With questions about or problems with alert notifications, gets the help needed from colleagues1564 (60.4)348 (13.4)587 (22.7)91 (3.5)
Protected time
  Has protected clinical time slots to manage alert notifications*779 (30.1)1773 (68.5)38 (1.5)
People
Supportive norms
  Colleagues believe the alert notifications in CPRS help them get their job done effectively640 (24.7)849 (32.8)1041 (40.2)60 (2.3)
  Supervisor believes alert notifications in CPRS are an essential component of effective primary care1403 (54.2)143 (5.5)981 (37.9)63 (2.4)
  Senior management has emphasized the importance of the use of alert notifications in high quality care1359 (52.5)189 (7.3)981 (37.9)61 (2.4)
Performance expectancy
  Using alert notifications in CPRS enhances providers’ ability to provide safe patient care2098 (81.0)167 (6.4)275 (10.6)50 (1.9)
  Using alert notifications in CPRS enhances providers’ effectiveness on the job1803 (69.6)311 (12.0)423 (16.3)53 (2.0)
  Using alert notifications in CPRS increases providers’ productivity952 (36.8)858 (33.1)723 (27.9)57 (2.2)
  Using alert notifications in CPRS allows providers to meet performance standards1312 (50.7)542 (20.9)679 (26.2)57 (2.2)

Italicized items are discussed in the text.

*Of the 779 providers who reported receiving protected time, 224 (28.8%) reported <4 h/week, 544 (69.8%) reported ≥4 h/week, and 11 (1.4%) did not report the number of hours of protected time.

CPRS, Computerized Patient Record System; EHR, electronic health record.

Organizational and people items associated with EHR-based test result management Italicized items are discussed in the text. *Of the 779 providers who reported receiving protected time, 224 (28.8%) reported <4 h/week, 544 (69.8%) reported ≥4 h/week, and 11 (1.4%) did not report the number of hours of protected time. CPRS, Computerized Patient Record System; EHR, electronic health record. About half of respondents (54.2%) were aware of the 2009 Veterans Health Administration (VHA) policy (ie, external rules and regulations) regarding notification of patients regarding test results. However, among those aware of the policy only 20% reported that they changed their result notification practices accordingly (data not shown in tables). Almost a third (31.9%) reported that their supervisors monitored how they managed notifications, but fewer (23.9%) received feedback on their follow-up practices (ie, system measurement and monitoring). Table 6 summarizes PCPs’ assessments of potential new features and functions to improve EHR-based notification. PCPs strongly endorsed four functionalities to reduce loss of alert information in the EHR (preventing automated deletion of alerts, being able to retrieve deleted alerts, having a back button, and being able to access alerts in the inbox for at least 30 days). To improve alert management options, most agreed with the need for a feature to remind them at a later date of the necessity to take a follow-up action. In addition, most PCPs endorsed the need for a separate messaging system within the EHR to allow providers to communicate, rather than the traditional method of including these human-generated messages along with the EHR-generated notification system that was used for result notification. About two-thirds of respondents endorsed one or more new visualization techniques, including a separate window for high-priority alerts or a method to filter or color-code alerts based on type. Most PCPs supported strategies to improve safety related to hand-offs, including being able to assign responsibility of test result follow-up and to display who is responsible for follow-up. About half were in favor of receiving feedback about their alert management performance.
Table 6

New features and functions to improve EHR-based notification

Agree or strongly agreeDisagree or strongly disagreeNeither agree nor disagreeMissing
Itemn (%)n (%)n (%)n (%)
Hardware and software
Improving communication and alert management options
  I would like to be able to set reminders for myself for future actions2160 (83.4)64 (2.5)213 (8.2)153 (5.9)
  I would like to have a messaging system within CPRS that would allow providers to communicate with one another - this would be outside the View Alert system1826 (70.5)174 (6.7)444 (17.1)146 (5.6)
Human–computer interface
Improving alert visualization
  I would like to receive high priority test result notifications in one window, and all other alert notifications in another window1611 (62.2)474 (18.3)370 (14.3)135 (5.2)
  I would like an option to display only certain alert notifications at a time (ie, filter to display only surrogate, inpatient, or high priority alerts)1722 (66.5)321 (12.4)398 (15.4)149 (5.8)
  I would like to have my alert notifications color-coded according to type (eg, surrogate, inpatient, or high priority alerts)1720 (66.4)316 (12.2)414 (16.0)140 (5.4)
Better processing and tracking of alerts
  I would like to be able to retrieve my deleted alert notifications2036 (78.6)193 (7.5)228 (8.8)133 (5.1)
  High priority alert notifications should not disappear until I actively delete them after taking follow-up action1913 (73.9)266 (10.3)273 (10.5)138 (5.3)
  There should be a mechanism in the alert notification system in CPRS to display the name of the person responsible for following up on the test result alert1596 (61.6)292 (11.3)557 (21.5)145 (5.6)
  I would like to have a ‘back button’ in CPRS to retrieve the prior window2173 (83.9)67 (2.6)212 (8.2)138 (5.3)
  All unacknowledged alert notifications should stay in the alert notification window for at least 30 days1689 (65.2)318 (12.3)445 (17.2)138 (5.3)
Workflow and communication
Improving the surrogate process
  As a surrogate, I should only receive high priority alert notifications for patients assigned to the provider who is out of the office1659 (64.1)432 (16.7)360 (13.9)139 (5.4)
  Currently it is not possible for a provider to directly assign, without IT assistance, more than one surrogate in CPRS. This capability should be introduced1555 (60.0)264 (10.2)618 (23.9)153 (5.9)
System measurement and monitoring
Improving feedback
  I would like to receive feedback about my performance related to follow-up of high priority alert notifications1264 (48.8)479 (18.5)708 (27.3)139 (5.4)

CPRS, Computerized Patient Record System; EHR, electronic health record.

New features and functions to improve EHR-based notification CPRS, Computerized Patient Record System; EHR, electronic health record.

Interpretation

Test result reporting has substantial patient safety implications and is now being considered in the meaningful use criteria for EHRs.38 However, our data suggest that despite the use of an advanced EHR system, both social and technical challenges exist in ensuring the reliability of test result notification to practitioners and patients within one of the world's largest healthcare systems. Other healthcare systems, most of which have a shorter history of EHR use, are likely to face similar challenges as they begin adopting EHRs. Several technical as well as social (personal, workflow, and organizational) factors need to be addressed in order for EHR-based test reporting functionality to be successful. PCPs in our sample endorsed several new features and functions to reduce loss of information in the EHR and to improve visualization of alerts that communicate test results. We found that most providers do not routinely notify patients of normal test results, and a substantial proportion use the next scheduled visit to notify patients of both normal and abnormal results. A 1996 study conducted outside the VA reached similar conclusions, suggesting that this pattern has changed little in the last two decades.30 Recent initiatives within the VA are developing additional guidance to address test result management, which might change some of the patterns we found.39 As healthcare quality improvement efforts increasingly emphasize patient engagement, alternative methods are being explored for patients to receive test results. For instance, results are increasingly accessible to patients through online portals,40 although adoption has been slower than expected.41 42 Furthermore, the Department of Health and Human Services recently proposed a rule43 allowing patients to access test results directly from the laboratory upon patient request (ie, bypassing the provider). However, providers’ interpretation of test results within the context of the patient's other clinical conditions remains essential.44 Because most PCPs receive hundreds of test results a week,31 one area for potential improvement is PCPs’ resources to facilitate patient notification. Just over a third of the PCPs reported having administrative support for patient notification, presenting an opportunity to leverage the current shift towards team-based models of care (eg, medical home teams45). For example, with appropriate task delegation and clarity of roles, other members of the team could be responsible for tracking results and notifying patients.45 Future EHR development should focus on innovative methods to facilitate patient notification of test results. Our findings underscore the additional time burden induced by EHR-based alert systems, with the majority of respondents staying after hours, coming in on weekends, or using remote access from home to deal with notifications. Unfortunately, there is little or no reimbursement for non-face-to-face time related to documentation, follow-up, and patient notification of test results. Although the interventions proposed in the survey focused mostly on technological features and workflow, several organizational and policy interventions are also needed to improve the outcomes of EHR-based test results reporting. Based on our data, we recommend several strategies for improving test results reporting though EHRs. First, being able to easily retrieve and readily access critical test result data is an absolute requirement for safe and efficient care, and the ability to do so (eg, to retrieve previously viewed alerts) was endorsed by a large majority of respondents. For instance, providers might accidently delete a result notification or need to return to an alert they processed some time ago, and these workflow requirements should inform EHR design. Second, to effectively address alert-related information overload,19 providers need better methods to display, sort, and visualize test result information46 according to patient, date, type, priority, and origin of alerts. Usability testing is essential to evaluate EHR support features for planning and prioritizing among high volumes of alerts. Third, most providers agreed with the need for strategies to improve electronic hand-offs in the EHR, including assignment of responsibility. There is surprisingly little knowledge to guide effective policy setting or practice management in this area. While health information technology can prevent communication breakdowns,47–50 vulnerabilities related to teamwork and care coordination51 52 have received less attention, and novel methods to reduce ambiguities related to these hand-offs are needed. Lastly, EHRs need to be able to support the ‘prospective’ memory53 of providers (memory of an intent to perform a future task) by facilitating alert tracking and self-reminders for future tasks. Some of these features should be deemed as universal requirements in EHRs. Most of our results are generalizable outside the VA even though there are differences in EHR features, usage, organizational, workflow, and policy-related factors. This is due to the fact that the VA has been a leader in the successful integration and use of comprehensive EHRs, and many of our findings are valuable for other healthcare institutions that are moving to more integrated, technology-enabled care environments as required to meet the new patient management challenges prescribed by accountable care organizations.54 Although the alert notification system was specific to the VA's EHR, most major EHRs use similar methods to notify providers of important clinical findings, and others will follow in compliance with meaningful use requirements. Our study had a relatively low response rate. However, this is comparable to or higher than the response rates of many other physician surveys,55–58 which traditionally are not very high.59 60 In fact, the large number of completed surveys represents one of the largest total responses regarding EHR characteristics ever reported.61 62 Studies that report higher response rates for physician surveys often utilize monetary incentives for participants (which may lead to a different bias in the results), a practice not permitted for data collection within the VA. Lastly, we did not have access to any demographic or practice-based characteristics of non-respondent physicians for comparison. Overall, our survey data suggest that current capabilities for test result management are limited even within a well-established, mature EHR. A comprehensive socio-technical approach is needed to optimize EHR-based test result management. Key components of this socio-technical approach will include: (1) design, development, and testing of EHR features and functions to support physicians’ test result management workflows and inclusion of these new features in all EHRs; (2) new policies and procedures at the local institutional and national level regarding appropriate methods and timeliness of patient notification; and (3) commitments from organizational leadership and payers to acknowledge and support the additional, non-face-to-face work required to provide care for patients in an EHR-enabled healthcare system.
  53 in total

1.  The management of test results in primary care: does an electronic medical record make a difference?

Authors:  Nancy C Elder; Timothy R McEwen; John Flach; Jennie Gallimore; Harini Pallerla
Journal:  Fam Med       Date:  2010-05       Impact factor: 1.756

2.  Physicians' use of key functions in electronic health records from 2005 to 2007: a statewide survey.

Authors:  Steven R Simon; Christine S Soran; Rainu Kaushal; Chelsea A Jenter; Lynn A Volk; Elisabeth Burdick; Paul D Cleary; E John Orav; Eric G Poon; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

3.  Provider management strategies of abnormal test result alerts: a cognitive task analysis.

Authors:  Sylvia J Hysong; Mona K Sawhney; Lindsay Wilson; Dean F Sittig; Donna Espadas; Traber Davis; Hardeep Singh
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

4.  Reducing diagnostic errors through effective communication: harnessing the power of information technology.

Authors:  Hardeep Singh; Aanand Dinkar Naik; Raghuram Rao; Laura Ann Petersen
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

5.  Improving health care provider notification in an academic setting: a cascading system of alerts.

Authors:  Craig T Tenner; Neil M Shapiro; Alan Wikler
Journal:  Arch Intern Med       Date:  2010-02-22

6.  Relationship between use of electronic health record features and health care quality: results of a statewide survey.

Authors:  Eric G Poon; Adam Wright; Steven R Simon; Chelsea A Jenter; Rainu Kaushal; Lynn A Volk; Paul D Cleary; Janice A Singer; Alexis Z Tumolo; David W Bates
Journal:  Med Care       Date:  2010-03       Impact factor: 2.983

7.  Notification of abnormal lab test results in an electronic medical record: do any safety concerns remain?

Authors:  Hardeep Singh; Eric J Thomas; Dean F Sittig; Lindsey Wilson; Donna Espadas; Myrna M Khan; Laura A Petersen
Journal:  Am J Med       Date:  2010-03       Impact factor: 4.965

8.  Diagnostic error in medicine: analysis of 583 physician-reported errors.

Authors:  Gordon D Schiff; Omar Hasan; Seijeoung Kim; Richard Abrams; Karen Cosby; Bruce L Lambert; Arthur S Elstein; Scott Hasler; Martin L Kabongo; Nela Krosnjar; Richard Odwazny; Mary F Wisniewski; Robert A McNutt
Journal:  Arch Intern Med       Date:  2009-11-09

9.  Timely follow-up of abnormal diagnostic imaging test results in an outpatient setting: are electronic medical records achieving their potential?

Authors:  Hardeep Singh; Eric J Thomas; Shrinidi Mani; Dean Sittig; Harvinder Arora; Donna Espadas; Myrna M Khan; Laura A Petersen
Journal:  Arch Intern Med       Date:  2009-09-28

10.  Testing process errors and their harms and consequences reported from family medicine practices: a study of the American Academy of Family Physicians National Research Network.

Authors:  J Hickner; D G Graham; N C Elder; E Brandt; C B Emsermann; S Dovey; R Phillips
Journal:  Qual Saf Health Care       Date:  2008-06
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  36 in total

1.  Workarounds and Test Results Follow-up in Electronic Health Record-Based Primary Care.

Authors:  Shailaja Menon; Daniel R Murphy; Hardeep Singh; Ashley N D Meyer; Dean F Sittig
Journal:  Appl Clin Inform       Date:  2016-06-22       Impact factor: 2.342

2.  Practicing Clinicians' Recommendations to Reduce Burden from the Electronic Health Record Inbox: a Mixed-Methods Study.

Authors:  Daniel R Murphy; Tyler Satterly; Traber D Giardina; Dean F Sittig; Hardeep Singh
Journal:  J Gen Intern Med       Date:  2019-07-10       Impact factor: 5.128

3.  New Unintended Adverse Consequences of Electronic Health Records.

Authors:  D F Sittig; A Wright; J Ash; H Singh
Journal:  Yearb Med Inform       Date:  2016-11-10

4.  Primary Care Providers' Opening of Time-Sensitive Alerts Sent to Commercial Electronic Health Record InBaskets.

Authors:  Sarah L Cutrona; Hassan Fouayzi; Laura Burns; Rajani S Sadasivam; Kathleen M Mazor; Jerry H Gurwitz; Lawrence Garber; Devi Sundaresan; Thomas K Houston; Terry S Field
Journal:  J Gen Intern Med       Date:  2017-08-14       Impact factor: 5.128

5.  The Burden of Inbox Notifications in Commercial Electronic Health Records.

Authors:  Daniel R Murphy; Ashley N D Meyer; Elise Russo; Dean F Sittig; Li Wei; Hardeep Singh
Journal:  JAMA Intern Med       Date:  2016-04       Impact factor: 21.873

6.  Implementation Science Workshop: Implementation of an Electronic Referral System in a Large Academic Medical Center.

Authors:  Michael L Barnett; Ateev Mehrotra; Joseph P Frolkis; Melissa Spinks; Casey Steiger; Brandon Hehir; Jeffrey O Greenberg; Hardeep Singh
Journal:  J Gen Intern Med       Date:  2016-03       Impact factor: 5.128

7.  Toward More Proactive Approaches to Safety in the Electronic Health Record Era.

Authors:  Dean F Sittig; Hardeep Singh
Journal:  Jt Comm J Qual Patient Saf       Date:  2017-08-30

8.  Veterans Affairs Primary Care Provider Perceptions of Insomnia Treatment.

Authors:  Christi S Ulmer; Hayden B Bosworth; Jean C Beckham; Anne Germain; Amy S Jeffreys; David Edelman; Stephanie Macy; Angela Kirby; Corrine I Voils
Journal:  J Clin Sleep Med       Date:  2017-08-15       Impact factor: 4.062

9.  Electronic health record functionality needed to better support primary care.

Authors:  Alex H Krist; John W Beasley; Jesse C Crosson; David C Kibbe; Michael S Klinkman; Christoph U Lehmann; Chester H Fox; Jason M Mitchell; James W Mold; Wilson D Pace; Kevin A Peterson; Robert L Phillips; Robert Post; Jon Puro; Michael Raddock; Ray Simkus; Steven E Waldren
Journal:  J Am Med Inform Assoc       Date:  2014-01-15       Impact factor: 4.497

10.  Improving Timely Resident Follow-Up and Communication of Results in Ambulatory Clinics Utilizing a Web-Based Audit and Feedback Module.

Authors:  Joel C Boggan; Aparna Swaminathan; Samantha Thomas; David L Simel; Aimee K Zaas; Jonathan G Bae
Journal:  J Grad Med Educ       Date:  2017-04
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