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Physician user satisfaction with an electronic medical records system in primary healthcare centres in Al Ain: a qualitative study.

ABSTRACT: To explore physician satisfaction with an electronic medical records (EMR) system, to identify and explore the main limitations of the system and finally to submit recommendations to address these limitations.A descriptive qualitative study that entailed three focus group interviews was performed among physicians using open-ended questions. The interviews were audiotaped, documented and transcribed verbatim. The themes were explored and analysed in different categories.The study was conducted in primary healthcare centres (PHC) in Al Ain, United Arab Emirates (UAE).A total of 23 physicians, all using the same EMR system, attended one of three focus groups held in PHC in Al Ain Medical District. Each focus group consisted of 7-9 physicians working in PHC as family medicine specialists, residents or general practitioners.Physician satisfaction with the EMR system.Key themes emerged and were categorised as physician-dependent, patient-related and system-related factors. In general, physicians were satisfied with the EMR system in spite of initial difficulties with implementation. Most participants identified that the long time required to do the documentation affected their practice and patient communication. Many physicians expressed satisfaction with the orders and results of laboratory and radiology functions and they emphasised that this was the strongest point in the EMR. They were also satisfied with the electronic prescription function, stating that it reduced errors and saved time.Physicians are satisfied with the EMR and have a positive perception regarding the application of the system. Several themes emerged during this study that need to be considered to enhance the EMR system. Further studies need to be conducted among other healthcare practitioners and patients to explore their attitude and perception about the EMR.

SUBMITTER: Al Alawi S

PROVIDER: S-EPMC4225459 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Physician user satisfaction with an electronic medical records system in primary healthcare centres in Al Ain: a qualitative study.

Al Alawi Shamma S Al Dhaheri Aysha A Al Baloushi Durra D Al Dhaheri Mouza M Prinsloo Engela A M EA

BMJ open 20141106 11

<h4>Objectives</h4>To explore physician satisfaction with an electronic medical records (EMR) system, to identify and explore the main limitations of the system and finally to submit recommendations to address these limitations.<h4>Design</h4>A descriptive qualitative study that entailed three focus group interviews was performed among physicians using open-ended questions. The interviews were audiotaped, documented and transcribed verbatim. The themes were explored and analysed in different cat ...[more]

PMID: 25377010

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Project description:BackgroundThe effect electronic health record (EHR) implementation has on physician satisfaction and patient care remains unclear. A better understanding of physician perceptions of EHRs and factors that influence those perceptions is needed to improve the physician and patient experience when using EHRs.ObjectiveThe objective of this study was to determine provider and clinical practice factors associated with physician EHR satisfaction and perception of patient impact.MethodsWe surveyed a random sample of physicians, including residents and fellows, at a US quaternary care academic hospital from February to March 2016. The survey assessed provider demographics, clinical practice factors (ie, attending, fellow, or resident), and overall EHR experience. The primary outcomes assessed were provider satisfaction and provider perceptions of impact to patient care. Responses on the satisfaction and patient impact questions were recorded on a continuous scale initially anchored at neutral (scale range 0 to 100: 0 defined as "extremely negatively" and 100 as "extremely positively"). Independent variables assessed included demographic and clinical practice factors, including perceived efficiency in using the EHR. One-way analysis of variance or the Kruskal-Wallis test was used for bivariate comparisons, and linear regression was used for multivariable modeling.ResultsOf 157 physicians, 111 (70.7%) completed the survey; 51.4% (57/111) of the respondents were attending physicians, and of those, 71.9% (41/57) reported a >50% clinical full-time-equivalency and half reported supervising residents >50% of the time. A total of 50.5% (56/111) of the respondents were primary care practitioners, previous EHR experience was evenly distributed, and 12.6% (14/111) of the total sample were EHR super-users. Responses to how our current EHR affects satisfaction were rated above the neutral survey anchor point (mean 58 [SD 22]), as were their perceptions as to how the EHR impacts the patient (mean 61 [SD 18]). In bivariate comparisons, only physician age, clinical role (resident, fellow, or attending), and perceived efficiency were associated with EHR satisfaction. In the linear regression models, physicians with higher reported perceived efficiency reported higher overall satisfaction and patient impact after controlling for other variables in the model.ConclusionsPhysician satisfaction with EHRs and their perception of its impact on clinical care were generally positive, but physician characteristics, greater age, and attending level were associated with worse EHR satisfaction. Perceived efficiency is the factor most associated with physician satisfaction with EHRs when controlling for other factors. Understanding physician perceptions of EHRs may allow targeting of technology resources to ensure efficiency and satisfaction with EHR system use during clinical care.

Project description:BackgroundDespite the rapid adoption of electronic health records (EHRs) resulting from the reimbursement program of the US government, EHR adoption in behavioral hospitals is still slow, and there remains a lack of evidence regarding barriers and facilitators to the implementation of mental health care EHRs.ObjectiveThe aim of this study is to analyze the experience of mental health professionals to explore the perceived barriers, facilitators, and critical ideas influencing the implementation and usability of a mental health care EHR.MethodsIn this phenomenological qualitative study, we interviewed physicians, nurses, pharmacists, mental health clinicians, and administrative professionals separately at 4 behavioral hospitals in the United States. We conducted semistructured interviews (N=43) from behavioral hospitals involved in the adoption of the mental health care EHR. Purposeful sampling was used to maximize the diversity. Transcripts were coded and analyzed for emergent domains. An exploratory data analysis was conducted.ResultsContent analyses revealed 7 barriers and 4 facilitators. The most important barriers to implementing the mental health care EHR were the low levels of computer proficiency among nurses, complexity of the system, alert fatigue, and resistance because of legacy systems. This led to poor usability, low acceptability, and distrust toward the system. The major facilitators to implementing the mental health care EHR were well-executed training programs, improved productivity, better quality of care, and the good usability of the mental health care EHR.ConclusionsHealth care professionals expected to enhance their work productivity and interprofessional collaboration by introducing the mental health care EHR. Routine education for end users is an essential starting point for the successful implementation of mental health care EHR electronic decision support. When adopting the mental health care EHR, managers need to focus on common practices in behavioral hospitals, such as documenting structured data in their organizations and adopting a seamless workflow of mental health care into the system.

Project description:BackgroundThe involvement of service user representatives in planning, delivering, and evaluating health care services is regarded as essential in Healthy Life Centres (HLCs) to ensure high-quality services. However, information on how HLC-professionals involve service user representatives at a healthcare organizational level at HLCs remains sparse.ObjectiveTo explore HLC professionals' experiences involving service user representatives in planning, delivering, and evaluating the HLC services.MethodsFive qualitative semi-structured focus group interviews with 27 health professionals from 27 Norwegian HLCs were conducted. Data were analysed using systematic text condensation.ResultsThe involvement of service user representatives at the HLCs varied from well-integrated and systematized to the opposite. The professionals' primary rationale for involving service user representatives was to include the representatives' unique experiential knowledge to ensure the quality of the service. Experiential knowledge was seen as a 'different' competence, which came in addition to professional competence. The professionals' choice of service user representatives depended on the purpose behind the involvement initiative. The HLC professionals often hand-picked former service users according to their health problems, motivation, and the HLC's need. The professionals said they were responsible for initiating the facilitation to accomplish genuine involvement. Support from their leaders to prioritize these tasks was essential.ConclusionTo meet the demand for adequate service user representatives, the HLCs need access to different service user representatives, representing both diagnose-based and generic service user organisations and the public. To achieve genuine involvement, the rationale behind the involvement and the representatives' role must be clarified, both for the HLC professionals and service user representatives. This will require resources for continuous organizational preparation and facilitation.

Project description:BACKGROUND: Policies promoting widespread adoption of electronic medical records (EMRs) are premised on the hope that they can improve the coordination of care. Yet little is known about whether and how physician practices use current EMRs to facilitate coordination. OBJECTIVES: We examine whether and how practices use commercial EMRs to support coordination tasks and identify work-around practices have created to address new coordination challenges. DESIGN, SETTING: Semi-structured telephone interviews in 12 randomly selected communities. PARTICIPANTS: Sixty respondents, including 52 physicians or staff from 26 practices with commercial ambulatory care EMRs in place for at least 2 years, chief medical officers at four EMR vendors, and four national thought leaders. RESULTS: Six major themes emerged: (1) EMRs facilitate within-office care coordination, chiefly by providing access to data during patient encounters and through electronic messaging; (2) EMRs are less able to support coordination between clinicians and settings, in part due to their design and a lack of standardization of key data elements required for information exchange; (3) managing information overflow from EMRs is a challenge for clinicians; (4) clinicians believe current EMRs cannot adequately capture the medical decision-making process and future care plans to support coordination; (5) realizing EMRs' potential for facilitating coordination requires evolution of practice operational processes; (6) current fee-for-service reimbursement encourages EMR use for documentation of billable events (office visits, procedures) and not of care coordination (which is not a billable activity). CONCLUSIONS: There is a gap between policy-makers' expectation of, and clinical practitioners' experience with, current electronic medical records' ability to support coordination of care. Policymakers could expand current health information technology policies to support assessment of how well the technology facilitates tasks necessary for coordination. By reforming payment policy to include care coordination, policymakers could encourage the evolution of EMR technology to include capabilities that support coordination, for example, allowing for inter-practice data exchange and multi-provider clinical decision support.

Project description:BackgroundElectronic health records (EHRs) are a rich resource for developing applications to engage patients and foster patient activation, thus holding a strong potential to enhance patient-centered care. Studies have shown that providing patients with access to their own EHR notes may improve the understanding of their own clinical conditions and treatments, leading to improved health care outcomes. However, the highly technical language in EHR notes impedes patients' comprehension. Numerous studies have evaluated the difficulty of health-related text using readability formulas such as Flesch-Kincaid Grade Level (FKGL), Simple Measure of Gobbledygook (SMOG), and Gunning-Fog Index (GFI). They conclude that the materials are often written at a grade level higher than common recommendations.ObjectiveThe objective of our study was to explore the relationship between the aforementioned readability formulas and the laypeople's perceived difficulty on 2 genres of text: general health information and EHR notes. We also validated the formulas' appropriateness and generalizability on predicting difficulty levels of highly complex technical documents.MethodsWe collected 140 Wikipedia articles on diabetes and 242 EHR notes with diabetes International Classification of Diseases, Ninth Revision code. We recruited 15 Amazon Mechanical Turk (AMT) users to rate difficulty levels of the documents. Correlations between laypeople's perceived difficulty levels and readability formula scores were measured, and their difference was tested. We also compared word usage and the impact of medical concepts of the 2 genres of text.ResultsThe distributions of both readability formulas' scores (P<.001) and laypeople's perceptions (P=.002) on the 2 genres were different. Correlations of readability predictions and laypeople's perceptions were weak. Furthermore, despite being graded at similar levels, documents of different genres were still perceived with different difficulty (P<.001). Word usage in the 2 related genres still differed significantly (P<.001).ConclusionsOur findings suggested that the readability formulas' predictions did not align with perceived difficulty in either text genre. The widely used readability formulas were highly correlated with each other but did not show adequate correlation with readers' perceived difficulty. Therefore, they were not appropriate to assess the readability of EHR notes.

Project description:BackgroundLinkage of electronic healthcare records is becoming increasingly important for research purposes. However, linkage error due to mis-recorded or missing identifiers can lead to biased results. We evaluated the impact of linkage error on estimated infection rates using two different methods for classifying links: highest-weight (HW) classification using probabilistic match weights and prior-informed imputation (PII) using match probabilities.MethodsA gold-standard dataset was created through deterministic linkage of unique identifiers in admission data from two hospitals and infection data recorded at the hospital laboratories (original data). Unique identifiers were then removed and data were re-linked by date of birth, sex and Soundex using two classification methods: i) HW classification - accepting the candidate record with the highest weight exceeding a threshold and ii) PII-imputing values from a match probability distribution. To evaluate methods for linking data with different error rates, non-random error and different match rates, we generated simulation data. Each set of simulated files was linked using both classification methods. Infection rates in the linked data were compared with those in the gold-standard data.ResultsIn the original gold-standard data, 1496/20924 admissions linked to an infection. In the linked original data, PII provided least biased results: 1481 and 1457 infections (upper/lower thresholds) compared with 1316 and 1287 (HW upper/lower thresholds). In the simulated data, substantial bias (up to 112%) was introduced when linkage error varied by hospital. Bias was also greater when the match rate was low or the identifier error rate was high and in these cases, PII performed better than HW classification at reducing bias due to false-matches.ConclusionsThis study highlights the importance of evaluating the potential impact of linkage error on results. PII can help incorporate linkage uncertainty into analysis and reduce bias due to linkage error, without requiring identifiers.

Dataset Information

Physician user satisfaction with an electronic medical records system in primary healthcare centres in Al Ain: a qualitative study.

Publications

Physician user satisfaction with an electronic medical records system in primary healthcare centres in Al Ain: a qualitative study.

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