Effect of computer use on physician-patient communication using interviews: A patient perspective

The Effect of Characteristics of Patient Communication on Physician Feedback in Online Health Communities: An Observational Cross-Sectional Study

With the rapid development of e-health and telemedicine, previous studies have explored the relationship between physician-patient communication and patient satisfaction; however, there is a paucity of research on the influence of the characteristics of patient communication on the characteristics of physician feedback. Based on the communication accommodation theory, as well as the computer-mediated communication theory and media richness theory, this study aimed to explore how characteristics of patient communication influence characteristics of physician feedback in online health communities. We employed a crawler software to download the communication data between 1652 physicians and 105,325 patients from the Good Doctor platform, the biggest online health community in China. We built an empirical model using this data and employed a multilevel model to test our hypotheses using Stata and Python software. The results indicate that the amount of patients' rendered information positively influences the physicians' text (α = 0.123, t = 33.147, P < .001) and voice feedback (β = 0.201, t = 40.011, P < .001). Patients' hope for help signals and the provision of their electronic health records weaken the effect of the amount of patients' rendered information on physicians' text feedback (α = -0.040, t = -24.857, P < .001; α = -0.048, t = -15.784, P < .001), whereas, it strengthened the effect of the amount of patients' rendered information on physicians' voice feedback (β = 0.033, t = 14.789, P < .001; β = 0.017, t = 4.208, P < .001). Moreover, the occurrence of high-privacy diseases strengthened the effect of the amount of patients' presented information on physicians' text and voice feedback (α = 0.023, t = 4.870, P < .001; β = 0.028, t = 4.282, P < .001). This research contributes to the development of computer-mediated communication theories and sheds light on service delivery in the online health community.

Digital health in fragile states in the Middle East and North Africa (MENA) region: A scoping review of the literature

INTRODUCTION

Conflict, fragility and political violence, that are taking place in many countries in the Middle East and North Africa (MENA) region have devastating effects on health. Digital health technologies can contribute to enhancing the quality, accessibility and availability of health care services in fragile and conflict-affected states of the MENA region. To inform future research, investments and policy processes, this scoping review aims to map out the evidence on digital health in fragile states in the MENA region.

METHOD

We conducted a scoping review following the Joanna Briggs Institute (JBI) guidelines. We conducted descriptive analysis of the general characteristics of the included papers and thematic analysis of the key findings of included studies categorized by targeted primary users of different digital health intervention.

RESULTS

Out of the 10,724 articles identified, we included 93 studies. The included studies mainly focused on digital health interventions targeting healthcare providers, clients and data services, while few studies focused on health systems or organizations managers. Most of the included studies were observational studies (49%). We identified no systematic reviews. Most of the studies were conducted in Lebanon (32%) followed by Afghanistan (13%) and Palestine (12%). The first authors were mainly affiliated with institutions from countries outside the MENA region (57%), mainly United Kingdom and United States. Digital health interventions provided a platform for training, supervision, and consultation for health care providers, continuing education for medical students, and disease self-management. The review also highlighted some implementation considerations for the adoption of digital health such as computer literacy, weak technological infrastructure, and privacy concerns.

CONCLUSION

This review showed that digital health technologies can provide promising solutions in addressing health needs in fragile and conflict-affected states. However, rigorous evaluation of digital technologies in fragile settings and humanitarian crises are needed to inform their design and deployment.

Development of an assessment tool to measure communication skills among family medicine residents in the context of electronic medical record use

BACKGROUND

The introduction of the electronic medical record (EMR) has led to new communication skills that need to be taught and assessed. There is scarce literature on validated instruments measuring electronic-specific communication skills. The aim is to develop an assessment checklist that assesses the general and EMR-specific communication skills and evaluates their content validity and reliability.

METHODS

Using the SEGUE theoretical framework for communication skills, the assessment checklist items were developed by the Communication Skills Working Group (CSWG) at the family medicine department using a literature review about the positive and negative aspects of EMR use on physician-patient communication. A group of faculty members rated real resident-patient encounters on two occasions, three weeks apart. Patients were asked to fill out the Communication Assessment Tool (CAT) at the end of the encounter.

RESULTS

A total of 8 residents agreed to participate in the research, with 21 clinical encounters recorded. The average total score was 65.2 ± 6.9 and 48.1 ± 9.5 for the developed scale and the CAT scale, respectively. The scale reliability was good, with a Cronbach alpha of 0.694. The test-retest reliability was 0.873, p < 0.0001. For the total score on the developed checklist, the intraclass correlation coefficient between raters (ICC) was 0.429 [0.030,0.665], p-value of 0.019. The level of agreement between any two raters on the cumulative score of the 5 subsections ranged from 0.506 (interpersonal skills) to 0.969 (end encounter).

CONCLUSION

This checklist is a reliable and valid instrument that combines basic and EMR-related communication skills.

Tablet in the Consultation Room and Physician Satisfaction

The purpose of the study is to investigate patient-physician interactions during a clinical encounter to ascertain the impact of tablet computing on physician satisfaction during a clinical encounter. This study was conducted at a primary care clinic, and the physicians who participated could use a tablet during their clinical encounters. The authors compared satisfaction between physicians who used the tablet during a clinical encounter and those who did not using data from 122 clinical encounters involving 82 patients. The results indicate that physicians who used the tablet during clinical encounters are more satisfied than those who did not. Additionally, there was a meaning difference in satisfaction between physicians who used the tablet to educate patients and share information than those who did not. HITs have potential benefits, but they also come with risks. To effectively manage the risks and benefits of HITs, healthcare providers should be deliberate and strategic in the implementation of HITs.

Effect of digitization of medical case files on doctor patient relationship in an Out Patient Department setting of Northern India: A comparative study

Background: Digitization of health records and health delivery processes in health care settings may have an impact on the Patient-Physician communication, wait times, that affect the overall patient satisfaction with the health care services. Aim & Objective: We ascertained the effect of digitization of medical case files on the doctor patient relationship (DPR) domain of patient satisfaction at an urban primary health center in India. Settings and Design: Comparative, cross-sectional study in primary health centres. Methods and Material: The patient satisfaction was compared between the patients attending the Public Health Dispensary (PHD) that uses digitized medical case file system and a Civil Dispensary (CD) which follows the conventional paper based medical records, using a Patient Satisfaction Questionnaire (PSQ). Statistical analysis used: Univariate analysis was done by chi-square test and adjusted analysis was done by multiple linear regression. Results: Patient satisfaction in DPR was found to be same between the digitized medical case files based and conventional OPD (p=0.453). Significantly higher overall patient satisfaction was reported in the conventional paper based OPD than the digitized OPD (p<0.001). Conclusions: Patient satisfaction towards the doctor-patient relationship (DPR) was same between paper based OPD and the digitized medical case files based OPD.

Automatic Classification of Screen Gaze and Dialogue in Doctor-Patient-Computer Interactions: Computational Ethnography Algorithm Development and Validation

Background

The study of doctor-patient-computer interactions is a key research area for examining doctor-patient relationships; however, studying these interactions is costly and obtrusive as researchers usually set up complex mechanisms or intrude on consultations to collect, then manually analyze the data.

Objective

We aimed to facilitate human-computer and human-human interaction research in clinics by providing a computational ethnography tool: an unobtrusive automatic classifier of screen gaze and dialogue combinations in doctor-patient-computer interactions.

Methods

The classifier’s input is video taken by doctors using their computers' internal camera and microphone. By estimating the key points of the doctor's face and the presence of voice activity, we estimate the type of interaction that is taking place. The classification output of each video segment is 1 of 4 interaction classes: (1) screen gaze and dialogue, wherein the doctor is gazing at the computer screen while conversing with the patient; (2) dialogue, wherein the doctor is gazing away from the computer screen while conversing with the patient; (3) screen gaze, wherein the doctor is gazing at the computer screen without conversing with the patient; and (4) other, wherein no screen gaze or dialogue are detected. We evaluated the classifier using 30 minutes of video provided by 5 doctors simulating consultations in their clinics both in semi- and fully inclusive layouts.

Results

The classifier achieved an overall accuracy of 0.83, a performance similar to that of a human coder. Similar to the human coder, the classifier was more accurate in fully inclusive layouts than in semi-inclusive layouts.

Conclusions

The proposed classifier can be used by researchers, care providers, designers, medical educators, and others who are interested in exploring and answering questions related to screen gaze and dialogue in doctor-patient-computer interactions.

Impact of an Educational Comic to Enhance Patient-Physician-Electronic Health Record Engagement: Prospective Observational Study

Background

Electronic health record (EHR) use can impede or augment patient-physician communication. However, little research explores the use of an educational comic to improve patient-physician-EHR interactions.

Objective

To evaluate the impact of an educational comic on patient EHR self-advocacy behaviors to promote patient engagement with the EHR during clinic visits.

Methods

We conducted a prospective observational study with adult patients and parents of pediatric patients at the University of Chicago General Internal Medicine (GIM) and Pediatric Primary Care (PPC) clinics. We developed an educational comic highlighting EHR self-advocacy behaviors and distributed it to study participants during check-in for their primary care visits between May 2017 and May 2018. Participants completed a survey immediately after their visit, which included a question on whether they would be interested in a follow-up telephone interview. Of those who expressed interest, 50 participants each from the adult and pediatric parent cohorts were selected at random for follow-up telephone interviews 8 months (range 3-12 months) post visit.

Results

Overall, 71.0% (115/162) of adult patients and 71.6% (224/313) of pediatric parents agreed the comic encouraged EHR involvement. African American and Hispanic participants were more likely to ask to see the screen and become involved in EHR use due to the comic (adult P=.01, P=.01; parent P=.02, P=.006, respectively). Lower educational attainment was associated with an increase in parents asking to see the screen and to be involved (ρ=−0.18, P=.003; ρ=−0.19, P<.001, respectively) and in adults calling for physician attention (ρ=−0.17, P=.04), which was confirmed in multivariate analyses. Female GIM patients were more likely than males to ask to be involved (median 4 vs 3, P=.003). During follow-up phone interviews, 90% (45/50) of adult patients and all pediatric parents (50/50) remembered the comic. Almost half of all participants (GIM 23/50, 46%; PPC 21/50, 42%) recalled at least one best-practice behavior. At subsequent visits, adult patients reported increases in asking to see the screen (median 3 vs 4, P=.006), and pediatric parents reported increases in asking to see the screen and calling for physician attention (median 3 vs 4, Ps<.001 for both). Pediatric parents also felt that the comic had encouraged them to speak up and get more involved with physician computer use since the index visit (median 4 vs 4, P=.02) and that it made them feel more empowered to get involved with computer use at future visits (median 3 vs 4, P<.001).

Conclusions

Our study found that an educational comic may improve patient advocacy for enhanced patient-physician-EHR engagement, with higher impacts on African American and Hispanic patients and patients with low educational attainment.

Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content

Despite the great advances in the field of electronic health records (EHRs) over the past 25 years, implementation and adoption challenges persist, and the benefits realized remain below expectations. This scoping review aimed to present current knowledge about the effects of EHR implementation and the barriers to EHR adoption and use. A literature search was conducted in PubMed, Web of Science, IEEE Xplore Digital Library and ACM Digital Library for studies published between January 2005 and May 2020. In total, 7641 studies were identified of which 142 met the criteria and attained the consensus of all researchers on inclusion. Most studies (n = 91) were published between 2017 and 2019 and 81 studies had the United States as the country of origin. Both positive and negative effects of EHR implementation were identified, relating to clinical work, data and information, patient care and economic impact. Resource constraints, poor/insufficient training and technical/educational support for users, as well as poor literacy and skills in technology were the identified barriers to adoption and use that occurred frequently. Although this review did not conduct a quality analysis of the included papers, the lack of uniformity in the use of EHR definitions and detailed contextual information concerning the study settings could be observed.