Location of residence associated with the likelihood of patient visit to the preoperative assessment clinic

Retrospective analyses of routine preoperative blood testing in a tertiary eye hospital: could Choosing Wisely work in China?

AIMS

To explore the possibility of implementing Choosing Wisely on ocular patients in China by investigating the prevalence of abnormalities in routine preoperative blood tests (RPBTs) and its turnaround time (TAT).

METHODS

Data from 102 542 ocular patients between January 2016 and December 2018, at Zhongshan Ophthalmic Center, were pooled from the laboratory information system. The test results were divided into normal and abnormal, including critical values. Ocular diseases were stratified into 11 subtypes based on the primary diagnosis. The TAT of 243 350 blood tests from January 2017 to December 2018 was categorised into transportation time and intralaboratory time.

RESULTS

RPBT was grouped into complete blood count (CBC), blood biochemistry (BBC), blood coagulation (BCG) and blood-borne pathogens (BBP), completed for 97.22%, 87.66%, 94.41% and 95.35% of the recruited patients (male, 52 549 (51.25%); median(IQR) age, 54 (29-67) years), respectively. Stratified by the test items, 9.19% (95% CI 9.07% to 9.31%) were abnormal results, and 0.020% (95% CI 0.019% to 0.022%) were critical; most abnormalities were on the CBC, while glucose was the most common critical item. Classified by the patients' primary diagnosis, 76.97% (95% CI 76.71% to 77.23%) had at least one abnormal result, and 0.28% (95% CI 0.25% to 0.32%) were critical; abnormal findings were reported in 45.29% (95% CI 44.98% to 45.60%), 54.97% (95% CI 54.65% to 55.30%), 30.29% (95% CI 30.00% to 30.58%) and 11.32% (95% CI 11.12% to 11.52%) for the CBC, BBC, BCG and BBP tests, respectively. The median transportation time and intralaboratory TAT of the samples were 12 min and 78 min respectively.

CONCLUSION

Blood abnormalities are common in ocular patients. With acceptable timelines, RPBT is still indispensable in China for patient safety.

An Intraoperative Telemedicine Program to Improve Perioperative Quality Measures: The ACTFAST-3 Randomized Clinical Trial

Importance

Telemedicine for clinical decision support has been adopted in many health care settings, but its utility in improving intraoperative care has not been assessed.

Objective

To pilot the implementation of a real-time intraoperative telemedicine decision support program and evaluate whether it reduces postoperative hypothermia and hyperglycemia as well as other quality of care measures.

Design, Setting, and Participants

This single-center pilot randomized clinical trial (Anesthesiology Control Tower-Feedback Alerts to Supplement Treatments [ACTFAST-3]) was conducted from April 3, 2017, to June 30, 2019, at a large academic medical center in the US. A total of 26 254 adult surgical patients were randomized to receive either usual intraoperative care (control group; n = 12 980) or usual care augmented by telemedicine decision support (intervention group; n = 13 274). Data were initially analyzed from April 22 to May 19, 2021, with updates in November 2022 and February 2023.

Intervention

Patients received either usual care (medical direction from the anesthesia care team) or intraoperative anesthesia care monitored and augmented by decision support from the Anesthesiology Control Tower (ACT), a real-time, live telemedicine intervention. The ACT incorporated remote monitoring of operating rooms by a team of anesthesia clinicians with customized analysis software. The ACT reviewed alerts and electronic health record data to inform recommendations to operating room clinicians.

Main Outcomes and Measures

The primary outcomes were avoidance of postoperative hypothermia (defined as the proportion of patients with a final recorded intraoperative core temperature >36 °C) and hyperglycemia (defined as the proportion of patients with diabetes who had a blood glucose level ≤180 mg/dL on arrival to the postanesthesia recovery area). Secondary outcomes included intraoperative hypotension, temperature monitoring, timely antibiotic redosing, intraoperative glucose evaluation and management, neuromuscular blockade documentation, ventilator management, and volatile anesthetic overuse.

Results

Among 26 254 participants, 13 393 (51.0%) were female and 20 169 (76.8%) were White, with a median (IQR) age of 60 (47-69) years. There was no treatment effect on avoidance of hyperglycemia (7445 of 8676 patients [85.8%] in the intervention group vs 7559 of 8815 [85.8%] in the control group; rate ratio [RR], 1.00; 95% CI, 0.99-1.01) or hypothermia (7602 of 11 447 patients [66.4%] in the intervention group vs 7783 of 11 672 [66.7.%] in the control group; RR, 1.00; 95% CI, 0.97-1.02). Intraoperative glucose measurement was more common among patients with diabetes in the intervention group (RR, 1.07; 95% CI, 1.01-1.15), but other secondary outcomes were not significantly different.

Conclusions and Relevance

In this randomized clinical trial, anesthesia care quality measures did not differ between groups, with high confidence in the findings. These results suggest that the intervention did not affect the targeted care practices. Further streamlining of clinical decision support and workflows may help the intraoperative telemedicine program achieve improvement in targeted clinical measures.

Trial Registration

ClinicalTrials.gov Identifier: NCT02830126.

Sociodemographic Disparities in Postoperative Nausea and Vomiting

BACKGROUND

Postoperative nausea and vomiting (PONV) prophylaxis is consistently considered a key indicator of anesthesia care quality. PONV may disproportionately impact disadvantaged patients. The primary objectives of this study were to examine the associations between sociodemographic factors and the incidence of PONV and clinician adherence to a PONV prophylaxis protocol.

METHODS

We conducted a retrospective analysis of all patients eligible for an institution-specific PONV prophylaxis protocol (2015-2017). Sociodemographic and PONV risk data were collected. Primary outcomes were PONV incidence and clinician adherence to PONV prophylaxis protocol. We used descriptive statistics to compare sociodemographics, procedural characteristics, and protocol adherence for patients with and without PONV. Multivariable logistic regression analysis followed by Tukey-Kramer correction for multiple comparisons was used to test for associations between patient sociodemographics, procedural characteristics, PONV risk, and (1) PONV incidence and (2) adherence to PONV prophylaxis protocol.

RESULTS

Within the 8384 patient sample, Black patients had a 17% lower risk of PONV than White patients (adjusted odds ratio [aOR], 0.83; 95% confidence interval [CI], 0.73-0.95; P = .006). When there was adherence to the PONV prophylaxis protocol, Black patients were less likely to experience PONV compared to White patients (aOR, 0.81; 95% CI, 0.70-0.93; P = .003). When there was adherence to the protocol, patients with Medicaid were less likely to experience PONV compared to privately insured patients (aOR, 0.72; 95% CI, 0.64-1.04; P = .017). When the protocol was followed for high-risk patients, Hispanic patients were more likely to experience PONV than White patients (aOR, 2.96; 95% CI, 1.18-7.42; adjusted P = .022). Compared to White patients, protocol adherence was lower for Black patients with moderate (aOR, 0.76; 95% CI, 0.64-0.91; P = .003) and high risk (aOR, 0.57; 95% CI, 0.42-0.78; P = .0004).

CONCLUSIONS

Racial and sociodemographic disparities exist in the incidence of PONV and clinician adherence to a PONV prophylaxis protocol. Awareness of such disparities in PONV prophylaxis could improve the quality of perioperative care.

Contributions of digital social research to develop Telemedicine in Calabria (Southern Italy): identification of inequalities in post-COVID-19

The paper discusses the role that sociology and digital social research methods could play in developing E-health and Telemedicine, specifically after the COVID-19 pandemic, and the possibility of dealing with new pandemics. In this article, we will reflect on an interdisciplinary research pilot project carried out by a team of sociologists, medical doctors, and software engineers at The University of Calabria (Italy), to give a proof of concept of the importance to develop Telemedicine through the contribution of digital social research. We apply a web and app survey to administrate a structured questionnaire to a self-selected sample of the University Community. Digital social research has highlighted socioeconomic and cultural gaps that affect the perception of Telemedicine in the University Community. In particular, gender, age, educational, and professional levels influence medical choices and behaviors during Covid-19. There is often an unconscious involvement in Telemedicine (people use it but don't know it is Telemedicine), and an optimistic perception grows with age, education, professional, and income levels; equally important are the comprehension of digital texts and the effective use of Telemedicine. Limited penetration of technological advances must be addressed primarily by overcoming sociocultural and economic barriers and developing knowledge and understanding of digital environments. The key findings of this study could help direct public and educational policies to reduce existing gaps and promote Telemedicine in Calabria.

Development and Validation of an Electronic Health Record-based Score for Triage to Perioperative Medicine

OBJECTIVE

To develop an electronic health record-based risk model for perioperative medicine (POM) triage and compare this model with legacy triage practices that were based on clinician assessment.

SUMMARY OF BACKGROUND DATA

POM clinicians seek to address the increasingly complex medical needs of patients prior to scheduled surgery. Identifying which patients might derive the most benefit from evaluation is challenging.

METHODS

Elective surgical cases performed within a health system 2014- 2019 (N = 470,727) were used to develop a predictive score, called the Comorbidity Assessment for Surgical Triage (CAST) score, using split validation. CAST incorporates patient and surgical case characteristics to predict the risk of 30-day post-operative morbidity, defined as a composite of mortality and major NSQIP complications. Thresholds of CAST were then selected to define risk groups, which correspond with triage to POM appointments of different durations and modalities. The predictive discrimination CAST score was compared with the surgeon's assessments of patient complexity and the American Society of Anesthesiologists class.

RESULTS

The CAST score demonstrated a significantly higher discrimination for predicting post-operative morbidity (area under the receiver operating characteristic curve 0.75) than the surgeon's complexity designation (0.63; P < 0.001) or the American Society of Anesthesiologists (0.65; P < 0.001) ( Fig. 1 ). Incorporating the complexity designation in the CAST model did not significantly alter the discrimination (0.75; P = 0.098). Compared with the complexity designation, classification based on CAST score groups resulted a net reclassification improvement index of 10.4% ( P < 0.001) ( Table 1 ).

CONCLUSION

A parsimonious electronic health record-based predictive model demonstrates improved performance for identifying pre-surgical patients who are at risk than previously-used assessments for POM triage.

In-Person Versus Video Preoperative Visit: A Randomized Clinical Trial

IMPORTANCE

This study further supports virtual visits for gynecologic preoperative care.

OBJECTIVES

The objective of this study was to determine if preoperative video visits are noninferior to in-person visits in pelvic reconstructive surgery. Secondary objectives are as follows: patient satisfaction, convenience, visit duration, total perioperative visits, and patient travel time/distance.

STUDY DESIGN

Noninferiority randomized-controlled trial of patients undergoing pelvic reconstructive surgery randomized to in-person or video counseling. The primary outcome was a composite score on the Preoperative Preparedness Questionnaire.

RESULTS

Demographics were similar except for higher body mass index (BMI) in the video group (29.5 vs 26.3; P = 0.01), and fewer patients in the video group used text messaging for health care delivery (40.7% vs 59.3%, P = 0.04). Video visits were noninferior to in-person visits in Preoperative Preparedness Questionnaire scores (62.5 ± 4.6 vs 63.0 ± 3.6; difference = 0.5; 95% confidence interval, -0.8, □). There was no difference in "strongly agree" response to question 11, "Overall, I feel prepared for my upcoming surgery" (79.6% vs 88.9%, P = 0.19). Satisfaction was higher for video visits based on composite Consumer Assessment of Healthcare Providers and Systems Surgical Care Survey scores (31.3 ± 1.5 vs 30.5 ± 2, P = 0.02). Video visits were more convenient (100% vs 85.2%, P < 0.01), of shorter duration for patients (39.3 ± 14.0 minutes vs 55.9 ± 18.9 minutes; P < 0.01), and similar length for health care providers (28.8 ± 9.6 minutes vs 28.2 ± 9.8 minutes; P = 0.77). The video visit group had fewer office visits (2.0 vs 3.0, P < 0.01) and traveled 66 minutes ( P < 0.01) and 28 miles ( P < 0.01) less.

CONCLUSION

Preoperative video visits are noninferior to in-person visits for preparing patients for pelvic reconstructive surgery.

A Retrospective Analysis of Patients Undergoing Telemedicine Evaluation in the PreAnesthesia Testing Clinic at H. Lee Moffitt Cancer Center

Background

Telemedicine for preanesthesia evaluation can decrease access disparities by minimizing commuting, time off work, and lifestyle disruptions from frequent medical visits. We report our experience with the first 120 patients undergoing telemedicine preanesthesia evaluation at Moffitt Cancer Center.

Methods

This is a retrospective analysis of 120 patients seen via telemedicine for preanesthesia evaluation compared with an in-person cohort meeting telemedicine criteria had it been available. Telemedicine was conducted from our clinic to a patient’s remote location using video conferencing. Clinic criteria were revised to create a tier of eligible patients based on published guidelines and anesthesiologist consensus.

Results

Day-of-surgery cancellation rate was 1.67% in the telemedicine versus 0% in the in-person cohort. The two telemedicine group cancellations were unrelated to medical workup, and cancellation rate between the groups was not statistically significant (P = .49). Median round trip distance and time saved by the telemedicine group was 80 miles [range 4; 1180] and 121 minutes [range 16; 1034]. Using the federal mileage rate, the median cost savings was $46 [range $2.30; 678.50] per patient. Patients were similar in gender and race in both groups (P = .23 and .75, respectively), but the in-person cohort was older and had higher American Society of Anesthesiologists physical status classification (P = .0003).

Conclusions

Telemedicine preanesthesia evaluation results in time, distance, and financial savings without increased day-of-surgery cancellations. This is useful in cancer patients who travel significant distances to specialty centers and have a high frequency of health care visits. American Society of Anesthesiologists Physical Status classification and age differences between cohorts indicate possible patient or provider selection bias. Randomized controlled trials will aid in further exploring this technology.

Telemedicine for Anesthesiologists

Telemedicine represents an area of rapid growth in anesthesiology. Remote preoperative evaluation is associated with high patient and physician satisfaction scores, reduced patient travel and wait times, and similar procedure cancellation rates compared with in-person clinic evaluation. Preoperative tele-evaluation has facilitated a return to normal function during the coronavirus disease 2019 (COVID-19) pandemic. Intraoperatively, remote vital sign monitoring and telecommunications technology combined with a care team model allows provision of expert care in areas experiencing a shortage of anesthesiologists. Virtual intensive care units provide overflow capability for postoperative patients, whereas patient smartphones can reduce the need for in-person evaluation.

Team Approach: Virtual Care in the Management of Orthopaedic Patients

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Telemedicine and remote care administered through technology are among the fastest growing sectors in health care. The utilization and implementation of virtual-care technologies have further been accelerated with the recent COVID-19 pandemic.

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Remote, technology-based patient care is not a "one-size-fits-all" solution for all medical and surgical conditions, as each condition presents unique hurdles, and no true consensus exists regarding the efficacy of telemedicine across surgical fields.

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When implementing virtual care in orthopaedics, as with standard in-person care, it is important to have a well-defined team structure with a deliberate team selection process. As always, a team with a shared vision for the care they provide as well as a supportive and incentivized environment are integral for the success of the virtual-care mechanism.

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Future studies should assess the impact of primarily virtual, integrated, and multidisciplinary team-based approaches and systems of care on patient outcomes, health-care expenditure, and patient satisfaction in the orthopaedic population.

Quantifying spatial accessibility of general practitioners by applying a modified huff three-step floating catchment area (MH3SFCA) method

BACKGROUND

It is necessary to ensure sufficient healthcare. The use of current, precise and realistic methods to model spatial accessibility to healthcare and thus improved decision-making is helping this process. Generally, these methods-which include the family of floating catchment area (FCA) methods-incorporate a number of criteria that address topics like access, efficiency, budget, equity and the overall system utilization. How can we measure spatial accessibility? This paper investigates a sophisticated approach for quantifying the spatial accessibility of general practitioners. (GPs). Our objective is the investigation and application of a spatial accessibility index by an improved Huff three-step floating catchment area (MH3SFCA) method.

METHODS

We modify and implement the huff model three-step floating catchment area (MH3SFCA) method and exemplary calculation of the spatial accessibility indices for the test study area. The method is extended to incorporate a more realistic way to model the distance decay effect. To that end, instead of a binary approach, a continuous approach is employed. Therefore, each distance between a healthcare site and the population is incorporated individually. The study area includes Swabia and the city of Augsburg, Germany. The data for analysis is obtained from following data sources: (1) Acxiom Deutschland GmbH (2020) provided a test dataset for the locations of general practitioners (GPs); (2) OpenStreetMap (OSM) data is utilized for road networks; and (3) the Statistische Ämter des Bundes und der Länder (German official census 2011) provided a population distribution dataset stemming from the 2011 Census.

RESULTS

The spatial accessibility indices are distributed in an inhomogeneous as well as polycentric pattern for the general practitioners (GPs). Differences in spatial accessibility are found mainly between urban and rural areas. The transitions from lower to higher values of accessibility or vice versa in general are smooth rather than abrupt. The results indicate that the MH3SFCA method is suited for comparing the spatial accessibility of GPs in different regions. The results of the MH3SFCA method can be used to indicate over- and undersupplied areas. However, the absolute values of the indices do not inherently define accessibility to be too low or too high. Instead, the indices compare the spatial relationships between each supply and demand location. As a result, the higher the value of the accessibility indices, the higher the opportunities for the respective population locations. The result for the study area are exemplary as the test input data has a high uncertainty. Depending on the objective, it might be necessary to further analyze the results of the method.

CONCLUSIONS

The application of the MH3SFCA method on small-scale data can provide an overview of accessibility for the whole study area. As many factors have to be taken into account, the outcomes are too complex for a direct and clear interpretation of why indices are low or high. The MH3SFCA method can be used to detect differences in accessibility on a small scale. In order to effectively detect over- or undersupply, further analysis must be conducted and/or different (legal) constraints must be applied. The methodology requires input data of high quality.

Barriers to colonoscopy in remote northern Canada: an analysis of cancellations

Background: Colonoscopy is a critical diagnostic and therapeutic procedure that is challenging to access in northern Canada. In part, this is due to frequent cancellations. We sought to understand the trends and reasons for colonoscopy cancellations in the Northwest Territories (NWT).

Methods: A retrospective review of colonoscopy cancellations January, 2018 to May, 2019 was conducted at Stanton Territorial Hospital, NWT. Cancellation details and rationale were captured from the endoscopy cancellation logs. Thematic analysis was used to group cancellation reasons. Descriptive statistics were generated, and trends were analysed using run chart.

Results: Of the scheduled colonoscopies, 368(28%) were cancelled during the 16 month period, and cancellations occurred, on average, 27 days after booking. Cancellation reasons were grouped into 15 themes, encompassing personal, social, geographic and health system factors. The most frequently cited theme was work/other commitments (69 respondents; 24%). Cancellations due to travel and accommodation issues occurred more frequently in the winter.

Conclusion: Over one in four booked colonoscopies were cancelled and the reasons for cancellations were complex. Initiatives focusing on communication and support for patients with personal or occupational obligations could dramatically reduce cancellations. Ongoing collaborative efforts are needed to inform and optimise access to colonoscopy in this region.

Remote Obstetric Anesthesia: Leveraging Telemedicine to Improve Fetal and Maternal Outcomes

In the United States, the prevalence of pregnancy-related deaths has risen significantly over the past 20 years. Pregnant women at high risk for peripartum complications should undergo anesthesia consultation before delivery so that a management plan can be created between the obstetrician, anesthesiologist, and patient to ensure optimal outcomes for both the mother and newborn. However, few hospitals outside of major, urban, academic medical centers have dedicated anesthesiologists specially trained in obstetric anesthesia and the resources available to expedite optimization of high-risk parturient comorbidities. Telemedicine is a valuable tool by which evaluation, triaging, and multidisciplinary coordination can be provided for high-risk obstetric patients living in remote or rural communities without access to specialized, maternal care medical facilities. This review examines the existing literature regarding telemedicine use in preoperative anesthesia and antenatal obstetrics and identifies areas for future research. Furthermore, the benefits and potential barriers of implementing a telemedicine program specifically dedicated to obstetric anesthesia are discussed.

Factors Determining Patients' Choice Between Mobile Health and Telemedicine: Predictive Analytics Assessment

BACKGROUND

The solution to the growing problem of rural residents lacking health care access may be found in the use of telemedicine and mobile health (mHealth). Using mHealth or telemedicine allows patients from rural or remote areas to have better access to health care.

OBJECTIVE

The objective of this study was to understand factors influencing the choice of communication medium for receiving care, through the analysis of mHealth versus telemedicine encounters with a virtual urgent clinic.

METHODS

We conducted a postdeployment evaluation of a new virtual health care service, Virtual Urgent Clinic, which uses mHealth and telemedicine modalities to provide patient care. We used a multinomial logistic model to test the significance and predictive power of a set of features in determining patients' preferred method of telecare encounters-a nominal outcome variable of two levels (mHealth and telemedicine).

RESULTS

Postdeployment, 1403 encounters were recorded, of which 1228 (87.53%) were completed with mHealth and 175 (12.47%) were telemedicine encounters. Patients' sex (P=.004) and setting (P<.001) were the most predictive determinants of their preferred method of telecare delivery, with significantly small P values of less than .01. Pearson chi-square test returned a strong indication of dependency between chief concern and encounter mediums, with an extremely small P<.001. Of the 169 mHealth patients who responded to the survey, 154 (91.1%) were satisfied by their encounter, compared with 31 of 35 (89%) telemedicine patients.

CONCLUSIONS

We studied factors influencing patients' choice of communication medium, either mHealth or telemedicine, for a virtual care clinic. Sex and geographic location, as well as their chief concern, were strong predictors of patients' choice of communication medium for their urgent care needs. This study suggests providing the option of mHealth or telemedicine to patients, and suggesting which medium would be a better fit for the patient based on their characteristics.

North Carolina physician-based preventive oral health services improve access and use among young Medicaid enrollees

To combat disparities in oral health and access to dental care among infants and toddlers, most state Medicaid programs now reimburse physician-based preventive oral health services such as fluoride varnish applications. We used geospatial data to examine the distribution of dental and medical Medicaid providers of pediatric oral health services throughout North Carolina to determine if these services have improved access to care for Medicaid enrollees younger than age three. We then used claims data to examine the association between distance from these practices and use of dental services for a cohort of approximately 1,000 young children. Among one hundred counties, four counties had no physician-based preventive oral health services, and nine counties had no dental practice. While children who lived farther from the nearest dental practice were less likely to make dental visits, distance from physician-based preventive oral health services did not predict utilization. For young Medicaid enrollees, oral health services provided in medical offices can improve access and increase utilization.

Clinical malaria diagnosis: rule-based classification statistical prototype

In this study, we identified predictors of malaria, developed data mining, statistically enhanced rule-based classification to diagnose malaria and developed an automated system to incorporate the rules and statistical models. The aim of the study was to develop a statistical prototype to perform clinical diagnosis of malaria given its adverse effects on the overall healthcare, yet its treatment remains very expensive for the majority of the patients to afford. Model validation was performed using records from two hospitals (training and predictive datasets) to evaluate system sensitivity, specificity and accuracy. The overall sensitivity of the rule-based classification obtained from the predictive dataset was 70 % [68–74; 95 % CI] with a specificity of 58 % [54–66; 95 % CI]. The values for both sensitivity and specificity varied by age, generally showing better performance for the data mining classification rules for the adult patients. In summary, the proposed system of data mining classification rules provides better performance for persons aged at least 18 years. However, with further modelling, this system of classification rules can provide better sensitivity, specificity and accuracy levels. In conclusion, using the system provides a preliminary test before confirmatory diagnosis is conducted in laboratories.

Patient preference for the pre-anesthesia evaluation: Telephone versus in-office assessment

STUDY OBJECTIVE

Pre-anesthesia evaluation (PAE) is designed to reduce patient and family anxiety, identify pre-existing health issues, avoid surgical delays, minimize costs, and tailor an anesthetic plan. If PAE requires a clinic visit, patients must take time off work and may incur travel and childcare costs. A telephone-based Preoperative Assessment Clinic can minimize patient inconvenience, while maintaining high-quality patient care and improving efficiency. We assessed patient satisfaction with a telephone PAE and determined whether patients preferred a telephone PAE or a conventional clinic visit.

DESIGN

Prospective, institutional review board-approved study.

SETTING

University hospital.

PATIENTS

We conducted an IRB-approved telephone survey of 75 adult, post-operative patients.

INTERVENTIONS

Telephone survey.

MEASUREMENTS

Patients were asked about their preference for a telephone PAE over an in-person evaluation. Survey questions included assessment of patient satisfaction with their anesthesia evaluation, operation, and anesthetic delivered. Delays and day of surgery cancellations were reviewed.

MAIN RESULTS

The majority (97%) of patients stated they preferred a telephone PAE. Patient satisfaction was unaffected by driving distance (30±54 mi), ASA physical status or duration of surgery (169±159 min). Even patients who were not satisfied with their anesthetic (N=5) still preferred the telephone-based PAE. No increase in surgical delays or cancellation was noted.

CONCLUSION

The majority of patients in this survey preferred a telephone PAE. Given the large catchment area of our hospital of nine counties, telephone-based interviews add to patient convenience and likely increase compliance with the PAE. Even patients who live in close proximity to our hospital (<5 mi) preferred a telephone assessment. A telephone-based PAE provides high patient satisfaction over a traditional office visit while increasing patient convenience. Larger studies are necessary to ensure that telephone PAEs compare well with in-person examinations.

Association Between Remoteness to a Health Care Facility and Incidence of Ambulance Calls in Rural Areas of Japan

Objectives:

Whether traffic remoteness from health care service in rural areas influences usage of ambulance service has not been well investigated. This study aimed to evaluate the relation between remoteness to health care facilities and incidence of ambulance calls in rural areas of Japan.

Methods:

We analyzed 155 rural communities of Hiroshima. Data were obtained on all ambulance dispatches from 2010 to 2012. Driving time was calculated from each community to the closest primary/secondary and tertiary health care facility (equivalent to tertiary emergency care centers). We estimated the incidence rate and the incidence rate ratio (IRR) of ambulance calls for each 10-minute increase in the driving time, using generalized log-linear regression models, and evaluated the effect among each specific subgroup of emergency level and season.

Results:

During the study period, the median incidence rate was 436 per 10 000 people in targeted communities. When driving time to the closest primary/secondary facility increased by an increment of 10 minutes, there was a significant increase in the IRR of ambulance calls, especially during colder seasons (IRR: 1.29 [95% confidence interval: 1.11-1.49]), and this relation was also obtained for most emergency levels. In comparison, there was no such increase in IRRs observed for driving time to a tertiary facility.

Conclusion:

This study indicated a positive association between remoteness to primary/secondary medical facilities and the frequency of ambulance calls. The remoteness to a primary/secondary health care may induce an increase in ambulance calls, particularly during cold seasons.

Veterans Affairs Telemedicine: Bringing Urologic Care to Remote Clinics

OBJECTIVE

To report the use of telemedicine to deliver general urologic care to remote locations within the Veterans Affairs Greater Los Angeles Healthcare System. We describe the diagnoses managed, patient satisfaction, safety, and benefit to patients in terms of saved travel time and expense.

METHODS

We conducted a retrospective chart review examining care delivered through urology telemedicine clinics over a 6-month period. We examined the urologic conditions, patient satisfaction, and emergency department visits within 30 days of the visit. We estimated patient benefit by calculating travel distance and time and the saved travel-associated costs using Google Maps and US Census income data.

RESULTS

Ninety-seven unique telemedicine visits were conducted and a total of 171 urologic diseases were assessed. The most common conditions were lower urinary tract symptoms (35%), elevated prostate-specific antigen level (15%), and prostate cancer (14%). One patient was seen in the emergency department within 30 days with an unpreventable urologic complaint. Patient satisfaction was "very good" to "excellent" in 95% of cases, and 97% would refer another veteran to the urology telemedicine clinic. Patients saved an average of 277 travel miles, 290 minutes of travel time, $67 in travel expenses, and $126 in lost opportunity cost.

CONCLUSION

Telemedicine was successfully and safely used to evaluate and treat a wide range of urologic conditions within the Veterans Affairs Greater Los Angeles Healthcare System, and saves patients nearly 5 hours and up to $193 per visit. Further investigation of the potential of telemedicine for the delivery of urologic care in a cost-effective manner is warranted.

Understanding self-organized regularities in healthcare services based on autonomy oriented modeling

Self-organized regularities in terms of patient arrivals and wait times have been discovered in real-world healthcare services. What remains to be a challenge is how to characterize those regularities by taking into account the underlying patients' or hospitals' behaviors with respect to various impact factors. This paper presents a case study to address such a challenge. Specifically, it models and simulates the cardiac surgery services in Ontario, Canada, based on the methodology of Autonomy-Oriented Computing (AOC). The developed AOC-based cardiac surgery service model (AOC-CSS model) pays a special attention to how individuals' (e.g., patients and hospitals) behaviors and interactions with respect to some key factors (i.e., geographic accessibility to services, hospital resourcefulness, and wait times) affect the dynamics and relevant patterns of patient arrivals and wait times. By experimenting with the AOC-CSS model, we observe that certain regularities in patient arrivals and wait times emerge from the simulation, which are similar to those discovered from the real world. It reveals that patients' hospital-selection behaviors, hospitals' service-adjustment behaviors, and their interactions via wait times may potentially account for the self-organized regularities of wait times in cardiac surgery services.

Effects of geodemographic profiles on healthcare service utilization: a case study on cardiac care in Ontario, Canada

BACKGROUND

Although literature has associated geodemographic factors with healthcare service utilization, little is known about how these factors - such as population size, age profile, service accessibility, and educational profile - interact to influence service utilization. This study fills this gap in the literature by examining both the direct and the moderating effects of geodemographic profiles on the utilization of cardiac surgery services.

METHODS

We aggregated secondary data obtained from Statistics Canada and Cardiac Care Network of Ontario to derive the geodemographic profiles of Ontario and the corresponding cardiac surgery service utilization in the years between 2004 and 2007. We conducted a two-step test using Partial Least Squares-based structural equation modeling to investigate the relationships between geodemographic profiles and healthcare service utilization.

RESULTS

Population size and age profile have direct positive effects on service utilization (β = 0.737, p < 0.01; β = 0.284, p < 0.01, respectively), whereas service accessibility is negatively associated with service utilization (β = -0.210, p < 0.01). Service accessibility decreases the effect of population size on service utilization (β = -0.606, p < 0.01), and educational profile weakens the effects of population size and age profile on service utilization (β = -0.595, p < 0.01; β = -0.286, p < 0.01, respectively).

CONCLUSIONS

In this study, we found that (1) service accessibility has a moderating effect on the relationship between population size and service utilization, and (2) educational profile has moderating effects on both the relationship between population size and service utilization, and the relationship between age profile and service utilization. Our findings suggest that reducing regional disparities in healthcare service utilization should take into account the interaction of geodemographic factors such as service accessibility and education. In addition, the allocation of resources for a particular healthcare service in one area should consider the geographic distribution of the same services in neighboring areas, as patients may be willing to utilize these services in areas not far from where they reside.

A descriptive analysis of notifiable gastrointestinal illness in the Northwest Territories, Canada, 1991-2008

OBJECTIVES

To describe the major characteristics of reported notifiable gastrointestinal illness (NGI) data in the Northwest Territories (NWT) from January 1991 through December 2008.

DESIGN

Descriptive analysis of 708 reported cases of NGI extracted from the Northwest Territories Communicable Disease Registry (NWT CDR).

SETTING

Primary, secondary and tertiary health care centres across all 33 communities of the NWT.

POPULATION

NWT residents of all ages with confirmed NGI reported to the NWT CDR from January 1991 through December 2008.

MAIN OUTCOME MEASURE

Laboratory-confirmed NGI, with a particular emphasis on campylobacteriosis, giardiasis and salmonellosis.

RESULTS

Campylobacteriosis, giardiasis and salmonellosis were the most commonly identified types of NGI in the territory. Seasonal peaks for all three diseases were observed in late summer to autumn (p<0.01). Higher rates of NGI (all 15 diseases/infections) were found in the 0-9-year age group and in men (p<0.01). Similarly, rates of giardiasis were higher in the 0-9-year age group and in men (p<0.02). A disproportionate burden of salmonellosis was found in people aged 60 years and older and in women (p<0.02). Although not significant, the incidence of campylobacteriosis was greater in the 20-29-years age group and in men (p<0.07). The health authority with the highest incidence of NGI was Yellowknife (p<0.01), while for salmonellosis and campylobacteriosis, it was Tlicho (p<0.01) and for giardiasis, the Sahtu region (p<0.01). Overall, disease rates were higher in urban areas (p<0.01). Contaminated eggs, poultry and untreated water were believed by health practitioners to be important sources of infection in cases of salmonellosis, campylobacteriosis and giardiasis, respectively.

CONCLUSIONS

The general patterns of these findings suggest that environmental and behavioural risk factors played key roles in infection. Further research into potential individual and community-level risk factors is warranted.

Discovering the impact of preceding units' characteristics on the wait time of cardiac surgery unit from statistic data

INTRODUCTION

Prior research shows that clinical demand and supplier capacity significantly affect the throughput and the wait time within an isolated unit. However, it is doubtful whether characteristics (i.e., demand, capacity, throughput, and wait time) of one unit would affect the wait time of subsequent units on the patient flow process. Focusing on cardiac care, this paper aims to examine the impact of characteristics of the catheterization unit (CU) on the wait time of cardiac surgery unit (SU).

METHODS

This study integrates published data from several sources on characteristics of the CU and SU units in 11 hospitals in Ontario, Canada between 2005 and 2008. It proposes a two-layer wait time model (with each layer representing one unit) to examine the impact of CU's characteristics on the wait time of SU and test the hypotheses using the Partial Least Squares-based Structural Equation Modeling analysis tool.

RESULTS

Results show that: (i) wait time of CU has a direct positive impact on wait time of SU (β = 0.330, p < 0.01); (ii) capacity of CU has a direct positive impact on demand of SU (β = 0.644, p < 0.01); (iii) within each unit, there exist significant relationships among different characteristics (except for the effect of throughput on wait time in SU).

CONCLUSION

Characteristics of CU have direct and indirect impacts on wait time of SU. Specifically, demand and wait time of preceding unit are good predictors for wait time of subsequent units. This suggests that considering such cross-unit effects is necessary when alleviating wait time in a health care system. Further, different patient risk profiles may affect wait time in different ways (e.g., positive or negative effects) within SU. This implies that the wait time management should carefully consider the relationship between priority triage and risk stratification, especially for cardiac surgery.

Compliance with referral for curative care in rural Burkina Faso

BACKGROUND

The goal of this study is to contribute to improving the functioning of the referral system in rural Burkina Faso. The main objective is to ascertain the compliance rate for referral and to identify the factors associated with successful referral.

METHODS

A record review of 12 months of curative consultations in eight randomly selected health centres was conducted to identify referral cases. To assess referral compliance, all patient documents at referral hospitals from the day of the referral up to 7 days later were checked to verify whether the referred case arrived or not. Descriptive statistics were then used to compute the compliance rate. Hierarchical modelling was performed to identify patient and provider factors associated with referral compliance.

RESULTS

The number of visits per person per year was 0.6 and the referral rate was 2.0%. The compliance rate was 41.5% (364/878). After adjustment, females (OR = 0.71; 95% CI = 0.52-0.98), patients referred during the rainy seasons (OR = 0.56; 95% CI = 0.40-0.78), non-emergency referrals (OR = 0.47; 95% CI = 0.34-0.65) and referrals without a referral slip (OR = 0.30; 95% CI = 0.21-0.43) were significantly less likely to comply. Children between 5 and 14 years old (OR = 0.61; 95% CI = 0.35-1.06) were at a higher risk of non-compliance, but the difference did not reach statistical significance. Moreover, none of provider characteristics was statistically significantly associated with non-compliance. CONCLUSIONS In a rural district of Burkina Faso, we found a relatively low compliance with referral after the official referral system was organized in 2006. Patient characteristics were significantly associated with a failure to comply. Interventions addressing female patients' concerns, increasing referral compliance in non-emergency situations, reducing inconvenience and opportunity costs due to seasonal/climate factors, and assuring the issue of a referral slip when a referral is prescribed may effectively improve referral compliance.

Geographic proximity to treatment for early stage breast cancer and likelihood of mastectomy

PURPOSE

Women with early stage breast cancer who live far from a radiation therapy facility may be more likely to opt for mastectomy over breast conserving surgery (BCS). The geographic dimensions of this relationship deserve further scrutiny.

METHODS

For over 100,000 breast cancer patients in 10 states who received either mastectomy or BCS, a newly-developed software tool was used to calculate the shortest travel distance to the location of surgery and to the nearest radiation treatment center. The likelihood of receipt of mastectomy was modeled as a function of these distance measures and other demographic variables using multilevel logistic regression.

RESULTS

Women traveling over 75 km for treatment are about 1.4 times more likely to receive a mastectomy than those traveling under 15 km.

CONCLUSIONS

Geographic barriers to optimal breast cancer treatment remain a valid concern, though most women traveling long distances to receive mastectomies are doing so after bypassing local options.

Distance and socioeconomic status as a health service predictor on the periphery in the southern region of Israel

This research focuses on the accessibility of health-services to the population in the southern region of Israel, comparing accessibility within the periphery. The objective was to study whether there is a correlation between the number of patient visits to specialist-clinics to the geographical distance from the patient's home and the patient's socioeconomic-status. The population of the study was patients insured by the Clalit HMO, the major health-provider on the periphery in Israel's southern region who visited the Soroka University Medical Center's (SUMC) out-patient specialist-clinics between 2000 and 2005. The specialist-clinics in the study were divided into five categories: (1) pediatrics (2) orthopedics (3) audio lab (4) sleep lab; (5) geriatrics. The dependent-variable-the number of patients' visits to clinics was analyzed (parametric and non-parametric) according to a set of independent variables: (1) population size, (2) age-distribution (3) gender (4) size of family, (5) vehicles per household, (6) socioeconomic level (by percentiles) (7) distance from the Beer-Sheva (site of the SUMC clinics) in terms of concentric geographical rings (distance and time-travel). Results show that the distance from Beer-Sheva and the socioeconomic level of patients' town (by percentiles) has a negative correlation to the number of visits. That is, patients who live further away or are from higher socio-economical percentiles, frequent specialist-clinics less. In order to be effective (equality of availability and accessibility), a health system in the periphery must build programs that take into consideration the needs of specific localities, such as distance to the health services, and the patient's socioeconomic level.

Comparison of distance measures in spatial analytical modeling for health service planning

BACKGROUND

Several methodological approaches have been used to estimate distance in health service research. In this study, focusing on cardiac catheterization services, Euclidean, Manhattan, and the less widely known Minkowski distance metrics are used to estimate distances from patient residence to hospital. Distance metrics typically produce less accurate estimates than actual measurements, but each metric provides a single model of travel over a given network. Therefore, distance metrics, unlike actual measurements, can be directly used in spatial analytical modeling. Euclidean distance is most often used, but unlikely the most appropriate metric. Minkowski distance is a more promising method. Distances estimated with each metric are contrasted with road distance and travel time measurements, and an optimized Minkowski distance is implemented in spatial analytical modeling.

METHODS

Road distance and travel time are calculated from the postal code of residence of each patient undergoing cardiac catheterization to the pertinent hospital. The Minkowski metric is optimized, to approximate travel time and road distance, respectively. Distance estimates and distance measurements are then compared using descriptive statistics and visual mapping methods. The optimized Minkowski metric is implemented, via the spatial weight matrix, in a spatial regression model identifying socio-economic factors significantly associated with cardiac catheterization.

RESULTS

The Minkowski coefficient that best approximates road distance is 1.54; 1.31 best approximates travel time. The latter is also a good predictor of road distance, thus providing the best single model of travel from patient's residence to hospital. The Euclidean metric and the optimal Minkowski metric are alternatively implemented in the regression model, and the results compared. The Minkowski method produces more reliable results than the traditional Euclidean metric.

CONCLUSION

Road distance and travel time measurements are the most accurate estimates, but cannot be directly implemented in spatial analytical modeling. Euclidean distance tends to underestimate road distance and travel time; Manhattan distance tends to overestimate both. The optimized Minkowski distance partially overcomes their shortcomings; it provides a single model of travel over the network. The method is flexible, suitable for analytical modeling, and more accurate than the traditional metrics; its use ultimately increases the reliability of spatial analytical models.

The influence of geography on uptake of plastic surgery services - analysis based on bilateral breast reduction data

The hub-and-spoke model was introduced in the National Health Service (NHS) with the goal of providing equitable access to health care for all. This study uses bilateral breast reduction (BBR) surgery to assess the success of this model in delivering equity of access for plastic surgery within a publicly funded health-care system. This study also assessed the effect of socioeconomic deprivation on patients seeking BBR. The hospital records were used to identify all patients who underwent BBR at the St. John's Hospital between 1996 and 2005 (N=1081). Patients living outside the catchment area were excluded. Realistic travel distances and times to the hospital and clinics were calculated using patients' postcodes and geographic information systems (GIS) network analysis. Carstairs deprivation scores were obtained for the residential postcode of each patient. The main findings of this study are (1) accessibility to a plastic surgery clinic is an important factor in determining whether an eligible female patient undergoes BBR and (2) most deprived parts of the catchment area accounted for a significantly greater proportion of patients.

Cost-effectiveness of magnetic resonance imaging of the knee for patients presenting in primary care

BACKGROUND

Musculoskeletal problems generate high costs. Of these disorders, patients with knee problems are commonly seen by GPs. Magnetic resonance imaging (MRI) of the knee is an accurate diagnostic test, but there is uncertainty as to whether GP access to MRI for these patients is a cost-effective policy.

AIM

To investigate the cost-effectiveness of GP referral to early MRI and a provisional orthopaedic appointment, compared with referral to an orthopaedic specialist without prior MRI for patients with continuing knee problems.

DESIGN OF STUDY

Cost-effectiveness analysis alongside a pragmatic randomised trial.

SETTING

Five-hundred and thirty-three patients consulting their GP about a knee problem were recruited from 163 general practices at 11 sites across the UK.

METHOD

Two-year costs were estimated from the NHS perspective. Health outcomes were expressed in terms of quality-adjusted life years (QALYs), based on patient responses to the EQ-5D questionnaire administered at baseline, and at 6, 12, and 24 months' follow-up.

RESULTS

Early MRI is associated with a higher NHS cost, by £294 ($581; €435) per patient (95% confidence interval [CI] = £31 to £573), and a larger number of QALYs, by 0.050 (95% CI = −0.025 to 0.118). Mean differences in cost and QALYs generated an incremental cost per QALY gained of £5840 ($11 538; €8642). At a cost per QALY threshold of £20 000, there is a 0.81 probability that early MRI is a cost-effective use of NHS resources [corrected].

CONCLUSION

GP access to MRI for patients presenting in primary care with a continuing knee problem represents a cost-effective use of health service resources.

Rural and Urban Disparity in Health Services Utilization in China

OBJECTIVES

To describe patterns in physician and hospital utilization among rural and urban populations in China and to determine factors associated with any differences.

METHODS

In 2003, the Third National Health Services Survey in China was conducted to collect information about health services utilization from randomly selected residents. Of the 193,689 respondents to the survey (response rate, 77.8%), 6429 urban and 16,044 rural respondents who were age 18 or older and reported an illness within the last 2 weeks before the survey were analyzed. Generalized estimating equations with a log link were used to assess the relationship between rural/urban residence and physician visit/hospitalization to adjust for respondents clustered at the household level.

RESULTS

About half of respondents did not see a physician when they were ill. Rural respondents used physicians more than urban respondents (52.0% vs. 43.0%, P < 0.001) and used hospitals less (7.6% vs. 11.1%, P < 0.001). Factor associated with increased physician utilization included residing in rural areas among majority Chinese (ie, Han) [rate ratio (RR), 1.21; 95% confidence interval (95% CI), 1.16-1.26], residing <3 km away from the medical center (RR, 1.16; 95% CI, 1.12-1.21), or being uninsured (RR, 1.38; 95% CI, 1.30-1.46). Rural minority Chinese visited physicians significantly less than urban minority Chinese (RR, 0.90; 95% CI, 0.83-0.98). Hospital utilization was significantly lower among rural males (RR, 0.84; 95% CI, 0.72-0.98), rural seniors (age, > or =65; RR, 0.64; 95% CI, 0.53-0.77), rural respondents with low education (RR, 0.70; 95% CI, 0.57-0.86 for illiterate), or rural insured respondents (RR, 0.86; 95% CI, 0.69-0.99) than hospitalization among urban counterparts.

CONCLUSIONS

Three national approaches should be considered in reforming the healthcare system in China: universal insurance coverage, higher amounts of insurance coverage, and increasing the population's level of education. In addition, access issues in remote areas and by rural minority Chinese population should be addressed.

Mortality of Canadians treated by peritoneal dialysis in remote locations

Patients residing in remote locations may be more likely to initiate peritoneal dialysis when starting renal replacement therapy to avoid relocation. These patients may have reduced access to medical care, however. To examine the hypothesis that patients residing some distance from their nephrologists would be more likely to select peritoneal dialysis but have an increased risk of mortality, we used prospectively collected data in a random sample of 26,775 patients initiating dialysis in Canada between 1990 and 2000. The distance between the patient's residence at dialysis inception and the practice location of their nephrologists was calculated. We used Cox proportional hazard models to determine the adjusted relation between this distance and clinical outcomes over a mean follow-up period of 2.5 years up to 14 years. Remote-dwelling patients were more likely than urban dwellers to commence peritoneal dialysis in distances ranging from 50 to greater than 300 km than those residing within 50 km. The adjusted rates of death and the adjusted hazard ratio among patients initiating peritoneal dialysis was significantly higher in those living further from the nephrologists than those living within 50 km. Further study into the quality of care delivered to remote-dwelling patients on peritoneal dialysis is needed.