First-visit patients without a referral to the Department of Internal Medicine at a medium-sized acute care hospital in Japan: an observational study

Diagnostic errors and characteristics of patients seen at a general internal medicine outpatient clinic with a referral for diagnosis

OBJECTIVES

Patients referred to general internal medicine (GIM) outpatient clinics may face a higher risk of diagnostic errors than non-referred patients. This difference in risk is assumed to be due to the differences in diseases and clinical presentations between referred and non-referred patients; however, clinical data regarding this issue are scarce. This study aimed to determine the frequency of diagnostic errors and compare the characteristics of referred and non-referred patients visit GIM outpatient clinics.

METHODS

This study included consecutive outpatients who visited the GIM outpatient clinic at a university hospital, with or without referral. Data on age, sex, chief complaints, referral origin, and final diagnosis were collected from medical records. The Revised Safer Dx Instrument was used to detect diagnostic errors.

RESULTS

Data from 534 referred and 599 non-referred patients were analyzed. The diagnostic error rate was higher in the referral group than that in the non-referral group (2.2 % vs. 0.5 %, p=0.01). The prevalence of abnormal test results and sensory disturbances was higher in the chief complaints, and the prevalence of musculoskeletal system disorders, connective tissue diseases, and neoplasms was higher in the final diagnoses of referred patients compared with non-referred patients. Among referred patients with diagnostic errors, abnormal test results and sensory disturbances were the two most common chief complaints, whereas neoplasia was the most common final diagnosis. Problems with data integration and interpretation were found to be the most common factors contributing to diagnostic errors.

CONCLUSIONS

Paying more attention to patients with abnormal test results and sensory disturbances and considering a higher pre-test probability for neoplasms may prevent diagnostic errors in patients referred to GIM outpatient clinics.

Prevalence and causes of chronic cough in Japan

BACKGROUND

Chronic cough is one of the most common symptoms of respiratory diseases and can adversely affect patients' quality of life and interfere with social activities, resulting in a significant social burden. A survey is required to elucidate the frequency and treatment effect of chronic cough. However, clinical studies that cover all of Japan have not yet been conducted.

METHODS

Patients who presented with a cough that lasted longer than 8 weeks and visited the respiratory clinics or hospitals affiliated with the Japan Cough Society during the 2-year study period were registered.

RESULTS

A total of 379 patients were enrolled, and those who did not meet the definition of chronic cough were excluded. A total of 334 patients were analyzed: 201 patients had a single cause, and 113 patients had two or more causes. The main causative diseases were cough variant asthma in 92 patients, sinobronchial syndrome (SBS) in 36 patients, atopic cough in 31 patients, and gastroesophageal reflux (GER)-associated cough in 10 patients. The time required to treat undiagnosed patients and those with SBS was significantly longer and the treatment success rate for GER-associated cough was considerably poor.

CONCLUSIONS

We confirmed that the main causes of chronic cough were cough variant asthma, SBS, atopic cough, and their complications. We also showed that complicated GER-associated cough was more likely to become refractory. This is the first nationwide study in Japan of the causes and treatment effects of chronic cough.

Predicting diagnoses from illness experiences with common cold symptoms before physician consultation: a mixed-methods research

OBJECTIVES

We aimed to explore whether patients' illness experiences with common cold symptoms could help with predicting the final diagnosis before consultation.

DESIGN

Exploratory sequential design of mixed methods: Qualitative and quantitative studies used inductive qualitative content analysis and multinomial regression analysis, respectively.

SETTING

Consecutive patients at the primary care clinic of a general hospital.

PARTICIPANTS

New patients aged 15 years or older were included in the study. Of the 1512 eligible patients who received the questionnaire sheet, 408 selected the common cold as their reason for visiting. All 408 patients responded to the questionnaire.

MAIN OUTCOME MEASURES

First, factors representing illness experiences in patients with common cold symptoms were explored. Second, variables with significant relative risk ratio (RRR) were used to diagnose common cold, influenza or other diseases.

RESULTS

A total of 171 codes were identified from the responses of 408 patients, which were visually mapped to show their frequencies and occurrence in the same person according to their final diagnoses. Of the 171 codes, 22 found in over nine patients represented the variables for the three independent final diagnoses. The adjusted final model revealed that (1) 'worry about influenza infection', 'want influenza test' and 'transmission from a colleague at school or workplace' predicted the influenza rather than the common cold, when other predicting variables were constant (RRR, 6.20 p<0.001; RRR, 26.1 p<0.01; and RRR, 4.69 p<0.05, respectively); (2) 'want further examination' predicted other diseases (RRR, 2.84 p<0.05); and (3) the combination of 'worry about influenza infection' and 'want influenza test', which predicted the opposite diagnosis: the common cold rather than influenza (RRR, 0.01 p<0.001).

CONCLUSION

These findings provide useful information on how illness experiences before consultation can predict final diagnoses for patients with common cold symptoms.

TRIAL REGISTRATION NUMBER

UMIN000030697.

Drug Combinations for Mood Disorders and Physical Comorbidities That Need Attention: A Cross-Sectional National Database Survey

INTRODUCTION

This study investigated combined prescriptions of drugs for mood disorders and physical comorbidities that need special attention in the light of frequent physical comorbidities in patients with mood disorders.

METHODS

We used the claims sampling data of 581,990 outpatients in January 2015 from the National Database of Health Insurance Claims and Specific Health Checkups of Japan. Fisher's exact test was performed to compare the prescription rates of non-steroidal anti-inflammatory drugs (NSAIDs), loop/thiazide diuretics, angiotensin-converting enzyme inhibitors, and/or angiotensin II receptor blockers between lithium users and age- and sex-matched non-lithium users; NSAIDs, antiplatelet drugs, and/or anticoagulants between selective serotonin reuptake inhibitor (SSRI)/serotonin-noradrenaline reuptake inhibitor (SNRI) users and non-users; warfarin between mirtazapine users and non-users; and the proportions of patients in the two groups with a diagnosis of somatic conditions for which these medications were indicated and actually received them. A Bonferroni corrected p-value of<0.05/3 was considered statistically significant.

RESULTS

Prescriptions of the above-mentioned medications were less frequent in lithium and mirtazapine users and comparable in SSRI/SNRI users, compared to non-users (18.3 vs. 31.9%, p=7.6×10^-10; 0.78 vs. 1.65%, p=0.01; 23.1 vs. 24.1%, p=0.044). In a subgroup of patients with somatic diseases for which these medications were indicated, the prescription rates were comparable in lithium and mirtazapine users and higher in SSRI/SNRI users compared to non-users (28.0 vs. 29.4%, p=0.73; 4.7 vs. 7.4%, p=0.28; 35.6 vs. 33.4%, p=0.0026).

DISCUSSION

Pharmacotherapy with drugs for mood disorders and physical comorbidities that require attention was commonly observed in clinical practice.

What Role Expectations Do Primary Care Physicians in Japan Hold for Physical Therapists Regarding Primary Care?

INTRODUCTION/OBJECTIVES

This study aimed to clarify what primary care physicians (PCPs) in Japan understand of the role of physical therapists (PTs) through the experience of working with PTs in hospitals, and what roles PCPs expect for PTs in future primary care.

METHODS

Semi-structured interviews were conducted individually with 9 purposively sampled PCPs with sufficient experience of collaboration with PTs. Interview data were analyzed by theme analysis focusing on "What does the PCP understand about the role of PTs through the experience of working with PTs in hospitals?" and "What roles and purposes does the PCP wish for PTs in primary care settings?"

RESULTS

PCPs viewed PTs as providers of rehabilitation in the traditional medical model, and understood their role as an occupation having a mono-causal viewpoint, namely a specific and well-defined outcome for individual patients, and intervening with patients within a short clinical course with the aim of improvement or maintenance of the patient's condition. With regard to future primary care, PCPs expected that PTs would interpret various factors related to patient lives from the viewpoint of causal interactions; become important stakeholders in the community; and respond flexibly to patients and the environmental factors around them with continued support to the individual.

CONCLUSIONS

PCPs understood the role of PTs in hospitals as "Rehabilitation in the traditional medical model," and expected the future role of PTs in primary care as "Rehabilitation in integrated community care."

Web-based survey to evaluate the prevalence of chronic and subacute cough and patient characteristics in Japan

Background

Cough lasting 3–8 weeks and more than 8 weeks are defined as subacute/prolonged cough and chronic cough, respectively. Japanese chronic cough population has not been well studied. This study aimed to describe the prevalence and characteristics of chronic cough and subacute cough patients in Japan. This study also sought to compare between chronic cough patients who were not greatly satisfied with treatment effectiveness for resolving cough and other chronic cough patients.

Methods

Data from a cross-sectional online 2019 Japan National Health and Wellness Survey and a supplemental chronic cough survey were used to understand respondents’ chronic cough status and their cough-specific characteristics and experience. The prevalence, patient characteristics and cough-specific characteristics were summarised descriptively. Patients who were not greatly satisfied with treatment effectiveness and other chronic cough patients were compared for their characteristics and cough severity.

Results

The point prevalence of chronic cough was 2.89% and 12-month period prevalence was 4.29%. Among all chronic cough patients analysed, the average age was 56 years old, 61.1% were males and 29.4% were current smokers. Patients were most frequently told by a physician that cough was related to allergic rhinitis, asthma and cough variant asthma. Only 44.2% of chronic cough patients had spoken with a physician about their cough, and half of chronic cough patients did not use any medications. Patients who were not greatly satisfied with treatment effectiveness had significantly greater cough severity during past 2 weeks compared with other chronic cough patients (Visual Analogue Scale 45.34 vs 39.63).

Conclusions

This study described the prevalence and patient characteristics information of chronic cough patients in Japan. Furthermore, the study highlighted an unmet need for better diagnosis and treatments for chronic cough patients, especially among patients who were not greatly satisfied with treatment effectiveness and reported significantly worse cough severity.

Disease burden and quality of life of patients with chronic cough in Japan: a population-based cross-sectional survey

Background

Cough lasting 3–8 and >8 weeks are defined as subacute/prolonged cough and chronic cough (CC), respectively. Studies have revealed that CC negatively impact patients’ quality of life (QoL). In Japan, there is limited data on the impact of CC on health-related quality of life (HRQoL), work productivity and activity impairment (WPAI) and healthcare resource utilisation (HRU) using validated instruments. This study aimed to estimate the burden of CC and to compare the burden among patients with CC between subgroups.

Methods

Data from two cross-sectional online surveys conducted between September and November 2019 were combined for the analysis. Eligible patients with cough were propensity score matched to non-cough respondents. Comparisons of general HRQoL, WPAI, HRU and other symptoms experienced were conducted between matched non-cough respondents and patients with cough. Among patients with CC, subgroup comparisons were performed to understand general HRQoL, WPAI, HRU, cough-related QoL (Leicester Cough Questionnaire and Hull Airway Reflux Questionnaire) between patients with CC of different severities, patients with refractory CC and patients with non-refractory CC and patients with CC whose underlying diseases were unknown and others.

Results

Patients with CC (n=568) in Japan reported significantly poorer HRQoL, increased WPAI, more HRU and higher proportion of psychological and sleep problems, compared with matched non-cough respondents selected from 21 415 non-cough respondents. More patients with severe CC reported significantly poorer HRQoL, increased WPAI and worse cough-related QoL. Patients with refractory CC experienced significantly greater burden measured by cough-related QoL. No significant differences were observed between patients with CC whose underlying diseases were unknown and other patients with CC in terms of general HRQoL and cough-related QoL.

Conclusions

This study showed that patients with CC in Japan experienced significant burden compared with non-cough respondents. Patients with more severe cough and refractory CC experienced worse cough-related QoL. These results highlighted the unmet need for better interventions and treatments to reduce the burden among patients with CC.

Impact of a Commercial Artificial Intelligence-Driven Patient Self-Assessment Solution on Waiting Times at General Internal Medicine Outpatient Departments: Retrospective Study

Background

Patient waiting time at outpatient departments is directly related to patient satisfaction and quality of care, particularly in patients visiting the general internal medicine outpatient departments for the first time. Moreover, reducing wait time from arrival in the clinic to the initiation of an examination is key to reducing patients’ anxiety. The use of automated medical history–taking systems in general internal medicine outpatient departments is a promising strategy to reduce waiting times. Recently, Ubie Inc in Japan developed AI Monshin, an artificial intelligence–based, automated medical history–taking system for general internal medicine outpatient departments.

Objective

We hypothesized that replacing the use of handwritten self-administered questionnaires with the use of AI Monshin would reduce waiting times in general internal medicine outpatient departments. Therefore, we conducted this study to examine whether the use of AI Monshin reduced patient waiting times.

Methods

We retrospectively analyzed the waiting times of patients visiting the general internal medicine outpatient department at a Japanese community hospital without an appointment from April 2017 to April 2020. AI Monshin was implemented in April 2019. We compared the median waiting time before and after implementation by conducting an interrupted time-series analysis of the median waiting time per month. We also conducted supplementary analyses to explain the main results.

Results

We analyzed 21,615 visits. The median waiting time after AI Monshin implementation (74.4 minutes, IQR 57.1) was not significantly different from that before AI Monshin implementation (74.3 minutes, IQR 63.7) (P=.12). In the interrupted time-series analysis, the underlying linear time trend (–0.4 minutes per month; P=.06; 95% CI –0.9 to 0.02), level change (40.6 minutes; P=.09; 95% CI –5.8 to 87.0), and slope change (–1.1 minutes per month; P=.16; 95% CI –2.7 to 0.4) were not statistically significant. In a supplemental analysis of data from 9054 of 21,615 visits (41.9%), the median examination time after AI Monshin implementation (6.0 minutes, IQR 5.2) was slightly but significantly longer than that before AI Monshin implementation (5.7 minutes, IQR 5.0) (P=.003).

Conclusions

The implementation of an artificial intelligence–based, automated medical history–taking system did not reduce waiting time for patients visiting the general internal medicine outpatient department without an appointment, and there was a slight increase in the examination time after implementation; however, the system may have enhanced the quality of care by supporting the optimization of staff assignments.