Hospital Choice Research Articles

Patient Views Around Their Hernia Surgery: A Worldwide Online Survey Promoted Through Social Media.

Introduction: Hernias are one of the most common surgical diagnoses, and general surgical operations are performed. The involvement of patients in the decision making can be limited. The aim of this study was to explore the perspectives of patients around their hernia and its management, to aid future planning of hernia services to maximise patient experience, and good outcomes for the patient.Methods: A SurveyMonkey questionnaire was developed by patient advocates with some advice from surgeons. It was promoted on Twitter and Facebook, such as all found “hernia help” groups on these platforms over a 6-week period during the summer of 2020. Demographics, the reasons for seeking a hernia repair, decision making around the choice of surgeon, hospital, mesh type, pre-habilitation, complications, and participation in a hernia registry were collected.Results: In total, 397 questionnaires were completed in the study period. The majority of cases were from English speaking countries. There was a strong request for hernia specialists to perform the surgery, to have detailed knowledge about all aspects of hernia disease and its management, such as no operation and non-mesh options. Chronic pain was the most feared complication. The desire for knowledge about the effect of the hernia and surgery on the sexual function in all age groups was a notable finding. Pre-habilitation and a hernia registry participation were well-supported.Conclusions: Hernia repair is a quality of life surgery. Whether awaiting surgery or having had surgery with a good or bad outcome, patients want information about their condition and treatment, such as the effect on aspects of life, such as sex, and they wish greater involvement in their management decisions. Patients want their surgery by surgeons who can also manage complications of such surgery or recommend further treatment. A large group of “hernia surgery injured” patients feel abandoned by their general surgeon when complications ensue.

Involvement levels of breast cancer patients-Seeking trusted hospital and physician.

The active involvement levels of breast cancer patients (BCP) in treatment decisions range from 10% to 81%. We investigated the involvement levels of 179 Israeli breast cancer survivors, aged 30 to 81, in the choice of hospital, surgeon, surgical procedure, chemotherapy, and radiotherapy. High involvement was documented in location decisions (operating hospital 77%, chemotherapy facility 82%) as opposed to low involvement in treatment decisions (chemotherapy 30%-38%, radiotherapy 25%, surgical procedure 31%). Involvement was influenced by hospital and surgeon reputation, education level, and income. BCPs actively choose their treating facility and staff, and then follow their doctor's recommendations.

Wie wählen internistische Patienten ihr Krankenhaus? Eine Querschnittstudie

ZusammenfassungEinleitung Die freie Krankenhauswahl durch Patienten wird gesundheitspolitisch gefördert und soll durch die Qualitätsberichte der Krankenhäuser unterstützt werden. Doch wie entscheiden sich Patienten für ein Krankenhaus? Wie viele können selber entscheiden, wo informieren sie sich und was sind in der konkreten Situation ihre Entscheidungskriterien? Dies soll für stationäre Patienten der Inneren Medizin im Vergleich zu denen anderer Fachgebiete beantwortet werden. Methoden Die Daten entstammen einer Beobachtungsstudie. Die nach Fachgebieten und Krankenhausversorgungsstufen geschichtete Zufallsstichprobe wurde in 46 Fachabteilungen von 17 Krankenhäusern aus 15 Städten und Gemeinden Nordrhein-Westfalens erhoben. Die gewichtete Stichprobe wertet 758 Patienten der Inneren Medizin und 1168 Patienten anderer Fachgebiete deskriptiv und inferenzstatistisch aus. Ergebnisse Internistische Patienten sind älter, häufiger Männer, ohne Migrationshintergrund und chronisch krank, zudem öfter stationär vorbehandelt. Etwa die Hälfte entscheidet selbst über das Krankenhaus, wobei die eigene Kenntnis des Krankenhauses durch einen Voraufenthalt die wichtigste Informationsquelle darstellt und wichtige Entscheidungskriterien die eigene Vorerfahrung, der Ruf des Krankenhauses und die Empfehlung der ambulanten Behandler sind. Der kleine Anteil Patienten mit mehr Zeit vor der Aufnahme wählt das Krankenhaus aktiver. Diskussion In der Inneren Medizin können weniger Patienten selbst über das Krankenhaus bestimmen. Diese entscheiden dann überwiegend aufgrund ihrer Vorerfahrung mit dem Krankenhaus und setzen die erneute Behandlung im ihnen bekannten Krankenhaus, in dem auch sie bekannt sind, fort. Ein kleiner Anteil jüngerer, gebildeterer und weniger krankenhauserfahrener Patienten informiert sich aktiver vor elektiven Eingriffen. Die Behandlungserfahrungen der Patienten sind zentral bei der eigenen Krankenhauswahl und über den sozialen Austausch auch bei der ihrer Angehörigen.

Predictors of patients\u2019 choice of hospitals under universal health coverage: a case study of the Nicaraguan capital

BackgroundThis study looks at the factors that can shape patients’ choice of healthcare providers. Understanding this process can help with making high quality healthcare more accessible for all. We focus on distance, patient’s health status, (perceived) quality of healthcare facility, and referrals to investigate how these factors compete in shaping patients’ choice of hospitals.MethodsThis study was carried out in Managua, the capital of Nicaragua. Utilizing an exit-survey, patients were interviewed across five public hospitals in 2017 and then six in 2019 when a new highly-equipped hospital was added to the system. We used a multinomial logit model to investigate patients’ preference of a specific hospital over the rest within each wave.ResultsOur results show that being referred to a hospital is the strongest predictor and in some cases, it can increase the relative risk ratio of choosing a facility by a factor of 49 (p < 0.01; 95% CI: 27.39–87.17). For the remaining factors, the hierarchy of importance was less clear-cut yet all these factors remained significantly important at various levels.ConclusionsOverall, our results highlight the importance of referral systems in making quality healthcare more equitable. Moreover, with distance also being a key predictor and in the absence of an organized referral system, those with low-income would either be further deprived by having to settle with locally available healthcare (regardless of its quality) or face high amounts of out-of-pocket expenditure when seeking help from the private sector.

Shared Decision-Making During Labor and Birth Among Low-Risk, Active Duty Women in the U.S. Military.

The cesarean birth rate of 24.7% in the Military Health System (MHS) is lower than the national rate of 31.7%. However, the MHS rate remains higher than the 15-19% threshold associated with optimal maternal and neonatal outcomes. For active duty servicewomen, increased morbidity associated with cesarean birth is likely to affect the ability to meet the demands of assigned missions. Several decision-points occur during pregnancy and after the onset of labor that can affect the likelihood of cesarean birth including choice of provider, choice of hospital, timing of admission, and type of fetal monitoring. Evidence suggests the overuse of labor interventions may be associated with cesarean birth. Shared decision-making (SDM) is a strategy that can be used to carefully consider the risks, benefits, and alternatives of each labor intervention and is shown to be associated with positive patient outcomes. Most existing evidence explores SDM as an interaction that occurs between women and their providers. Few studies have explored the role of stakeholders such as spouses, family members, friends, labor and delivery nurses, and doulas. Furthermore, little is known about the process of SDM during labor and childbirth in the hospital setting, particularly for active duty women in the U.S. military. The purpose of this study was to propose a framework that explains the process of SDM during labor and childbirth in the hospital setting for active duty women in the U.S. military. A qualitatively driven mixed-methods approach was conducted to propose a framework that explains the process of SDM during labor and childbirth in the hospital setting for active duty women in the U.S. military. Servicewomen were recruited from September 2019 to April 2020. Semi-structured interviews were analyzed using a constructivist grounded theory approach. Participants also completed the SDM Questionnaire (SDM-Q-9). Interviews were conducted with 14 participants. The sample included servicewomen from the Air Force (n = 7), Army (n = 4), and Navy (n = 3). Two participants were enlisted and the remainder were officers. Ten births occurred at military treatment facilities (MTFs) and four births took place at civilian facilities. The mean score on the SDM Questionnaire was 86.7 (±11.6), indicating a high level of SDM. Various stakeholders (e.g., providers, labor and delivery nurses, doulas, spouses, family members, and friends) were involved in SDM at different points during labor and birth. The four stages of SDM included gathering information, identifying preferences, discussing options, and making decisions. Events that most often involved SDM were deciding when to travel to the hospital, deciding when to be admitted, and selecting a strategy for pain management. Military factors involved in SDM included sources of information, selecting and working with civilian providers, and delaying labor interventions to allow time for an active duty spouse to travel to the hospital. SDM during labor and birth in the hospital setting is a multi-stage process that involves a variety of stakeholders, including the woman, members of her social and support network, and healthcare professionals. Future research is needed to explore perspectives of other stakeholders involved in SDM.

Abstract 14264: National Comparison of Hospital Market Share for Out-of-Hospital Cardiac Arrest and Elective Cardiac Surgery

Introduction: Competition in the healthcare market is a theoretical driver of innovation, cost-savings, and improved quality. When patients are treated for certain emergent conditions, such as out-of-hospital cardiac arrest (OHCA), individuals have less choice in their treating hospital. For patients undergoing elective cardiac valve replacement surgery (EVRS), hospital choice may reflect distinct referral patterns and preferences. Our objective was to compare hospital market share for different cardiac services, thus allowing for better understanding of the care landscape and target interventions to improve outcomes. Methods: Using age-eligible Medicare fee-for-service institutional claims, an emergency department (ED) treated OHCA cohort was identified via ICD-9/10 diagnosis codes and ED charges. EVRS, an inpatient referral procedure, were identified from in-patient summary claims using procedure codes. Market shares were built for each hospital by sequential addition of ZIP-code areas and calculating the hospital’s cumulative market share. Geographic market share areas were defined for each hospital at 90%, 25% and 10% cut-offs if present. Correlation between corresponding market shares and patient counts were assessed using Pearson’s r. Results: Between 1/2013 and 12/2015, we identified 206,162 EVRS claims and 222,018 OHCA claims. Median age was similar (77 vs 78 yrs), as was percent of female patient (43% vs 44%). Very few beneficiaries (0.38%) appeared in both cohorts. Many more hospitals cared for OHCA than EVRS (4482 vs 1170). More OHCA treating hospitals achieved a 25% market share (68% vs 57%) however, EVRS hospital with a 25% market share covered more population (420,294 vs 66,394) and had a greater client radius (21 vs 15 miles). Among the hospitals providing care to both cohorts, the cumulative market share and patient counts were positively correlated (r = 0.49 and 0.46 respectively, p&lt;0.001 for both). Conclusion: Despite many more hospitals providing care for OHCA, the market share for EVRS and OHCA trend together. This market trend, combined with the association of better outcomes with higher OHCA volume suggests that OHCA should be regionalized within markets to facilities that provide elective cardiac surgical procedures.

Consideration factors of older adults seeking medical treatment at outpatient services in Taiwan

BackgroundTaiwan will become a super-aged society by 2025, leading to the more frequent use of outpatient services by older adults for medical treatment compared with other age groups. Understanding the outpatient service consideration factors of older adults seeking medical treatment can improve health care quality. This study explored the selection factors and crucial considerations of older adults for outpatient services.MethodsQualitative study was conducted. Purposive sampling was used to recruit 16 older adults over 65 years of age with chronic disease who were patients of an internal medicine department and regularly returned for checkups. Data including reasons for receiving medical treatment, factors affecting their choice of hospitals, and health care and environmental considerations were collected through structured interviews.ResultsThe older adults identified four factors. (1) The care of doctors: The doctors possessed professional skill, allocate sufficient consultation time, and undertake effective communication. (2) The care of other medical professionals: Other medical professionals provided services in a cordial manner. (3) The accessibility and convenience of outpatient services: Convenient transportation and registration as well as short consultation wait time. (4) Environment and equipment: The hospital had the novel facilities and satisfactory barrier-free equipment.ConclusionsThe older adults cared most about the adequacy of diagnosis and treatment by doctors and other medical professionals. In addition, they reported having higher satisfaction with hospitals that provide comprehensive medical facilities, fast and convenient medical procedures, and short wait times.

Do health vouchers broaden the choices of citizens with low socioeconomic status? An analysis of Medicaid in Brooklyn

ABSTRACT Governments worldwide have committed to extending choices in public management to deliver services effectively; yet, how these programmes ensure equality remain unclear. This study investigated whether such programmes widened choices among different groups of citizens, focusing on Medicaid in Brooklyn, New York, in the 2000s. Information on patient admissions from the Statewide Planning Research and Cooperative System and hospitals from the American Hospital Association was analysed using a difference-in-difference-in-differences approach. Findings indicate that Medicaid programme failed to broaden the spatially confined choices of hospitals to patients with low socioeconomic status compared to non-Medicaid or uninsured groups.

Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China

BackgroundSince 2013, China launched descending resources reform, which is a new attempt to correct unbalanced allocation of health resources through human capital spillovers and brand implantation from high-level hospitals. The purpose of this paper is to explore the patients’ hospital selection response to this reform with the focus of low-level hospitals to better understand the effect of this reform on correcting regional inequality of health resources allocation.MethodsThe European Consumer Satisfaction Index model (ECSI) was used to design a questionnaire, and cross-sectional data from 17 hospitals were collected through 1287 questionnaires from Zhejiang Province. Patient hospital selection (loyalty) is measured using ordinary variables by considering patient willingness to choose a low-level hospital when suffering an illness or severe illness. Analysis of variance (ANOVA) and the structure equation model are applied to examine the effect of reforms on patient behavior.ResultsThe descending resources reform promotes improvements in the capabilities and medical environment of low-level hospitals, and descending doctors also have high accessibility. Perceived quality, patient expectations, and hospital image have significant positive effects on patient satisfaction, and the explanatory power of brand implantation from cooperative high-level hospitals and descending doctors is stronger than the image of the low-level hospital itself. And descending resources reform and patient satisfaction have significant positive impacts on patient’s choice for low-level hospitals with the existence of mediating effect of satisfaction.ConclusionsThis paper provides supporting empirical evidence of the descending resources reform’s impact on patients’ low-level hospital selection. This reform has been effective in improving the capabilities of low-level hospitals, and brand implantation of high-level hospitals shows strong explanatory power. China’s reform offers a distinct and valuable approach to correcting the uneven allocation of health resources. Besides, the findings also suggest that policymakers could pay more attention to the importance of information channels in impacting patient awareness, responses, and hospital selection.

Evaluation of an Expedited Trauma Transfer Protocol: Right Place, Right Time

Trauma patients may initially be evaluated at non-trauma centers. This may cause a delay in treatment, which could affect their outcome. Additionally, advanced imaging may be performed which may be suboptimal or unnecessary, increase time to transfer, or unable to be viewed when the patient reaches a trauma center increasing the delays to treatment or need for repeat imaging. Rapid identification and transfer to definitive trauma care, minimizing unnecessary delays should be the priority. The trauma registry at a regional Level 1 Adult/Pediatric Trauma center was queried for transferred trauma patients over a 3-y period. A retrospective review was performed. Transferred trauma patients were compared prior to an expedited transfer protocol to after implementation. Demographics, mechanism of injury, injury severity score, computerized tomography scans performed prior to transfer, mortality, hospital and intensive care unit length of stay were compared using bivariate and multivariable regression statistics where appropriate. Transferred trauma patients were identified, 683 in the pre-protocol group and 821 in the post-protocol group, an increase of 16.8%. There were no differences in age, sex, injury severity score, mechanism of injury, mortality, hospital, or intensive care unit length of stay (LOS) throughout the study period. There was a significant decrease in time to transfer (263 min ± 222 versus 227 ± 189, P < 0.001) and computerized tomography scans performed prior to transfer (Head 47% versus 32%, C-spine 36% versus 23%, Thorax 22% versus 16%, Abdomen/Pelvis 24% versus 14%, all P values <0.001 except CT Thorax). Interestingly, the rate of underinsured patients did not increase (21% versus 25%, P=0.05). Risk-adjusted mortality and hospital LOS also did not change during the study period. After implementation of an expedited trauma transfer protocol to a regional Level 1 trauma center there was an associated reduced time of arrival to definitive care and decreased advanced imaging done prior to transfer. However, there was noassociated decrease inmortality or LOS among transferred patients. Further studies examining prehospital transport or hospital choice decisions and subsequent care provided at non-trauma facilities regarding imaging obtained, care rendered, and transfer decisions can be explored.

How do Surgical Patients Choose their Hospital? A Cross-sectional Study

Free hospital choice is promoted in health policy through public quality reporting. Previous studies on hospital choice mostly survey patients for specific elective procedures. This study examines all full inpatient surgical patients and compares them to those in other specialties. Research questions are: How many patients make their own decisions about the hospital? How much time do they have before admission? Where do they obtain information and what are their important decision criteria? This study evaluates cross-sectional primary data on hospital choice collected by questionnaire from 1925 consecutively hospitalised patients from 11 medical specialties and 3 levels of care, including 438 surgical patients from 6 general surgery departments. Three quarters of surgical patients decide on the hospital themselves. Their own previous experience with the hospital is an important source of information and decision-making criterion for a good half of the patients, along with relatives and outpatient treatment providers as well as the hospital reputation. Many surgical patients decide in favour of a hospital because of the trust they have built up through previous treatment in the hospital, which they experience as satisfactory. The professional quality of treatment is thus the greatest impact factor on patients, their relatives and outpatient treatment providers. It is important to actively and specifically address and clarify possible dissatisfaction on the part of the patient before discharge.

Quality provision in hospital markets with demand inertia: The role of patient expectations

Switching costs and persistent preferences generate demand inertia and link current and future choices of hospital. Using a model of hospital competition with demand inertia, we investigate the effect of patient expectations on quality. We consider three types of expectations. Myopic patients choose a hospital based on current variables alone, forward-looking but naïve patients consider the future but assume that quality remains constant, and forward-looking and rational patients foresee the evolution of quality. We rank quality provision and show that it is higher under naïve than myopic expectations, while quality under rational expectations may be highest or lowest. This result also holds for patients’ health gains, suggesting that rationality may hurt patients. Additionally, policies to reduce switching costs lead to lower quality, possibly unless patients are rational and cost substitutability between output and quality is sufficiently strong. Finally, we show how optimal price regulation depends on expectations and switching costs.

Physician investment in hospitals: Specialization, selection, and quality in cardiac care

Physician ownership of hospitals involves several competing economic forces. Physician-owners may be incentivized to “cherry-pick” and treat profitable patients at their facilities. However, physician-owned hospitals are often specialized and may provide higher-quality care for well-matched patients. Using multiple identification approaches, I document no significant mortality improvement for cardiac patients treated at physician-owned hospitals. Using aggregate data on ownership to infer physician-owner preferences in a hospital choice model, my results rule out significant cherry-picking within physician-owners’ patient populations. However, both facility location and a healthier overall patient population among physician-owners drive advantageous selection of patients into physician-owned hospitals.

Prehospital risk stratification in patients with chest pain

ObjectivesThe History, ECG, Age, Risk Factors and Troponin (HEART) Score is a decision support tool applied by physicians in the emergency department developed to risk stratify low-risk patients presenting with...

Whether Public Hospital Reform Affects the Hospital Choices of Patients in Urban Areas: New Evidence from Smart Card Data.

The effects of public hospital reforms on spatial and temporal patterns of health-seeking behavior have received little attention due to small sample sizes and low spatiotemporal resolution of survey data. Without such information, however, health planners might be unable to adjust interventions in a timely manner, and they devise less-effective interventions. Recently, massive electronic trip records have been widely used to infer people’s health-seeking trips. With health-seeking trips inferred from smart card data, this paper mainly answers two questions: (i) how do public hospital reforms affect the hospital choices of patients? (ii) What are the spatial differences of the effects of public hospital reforms? To achieve these goals, tertiary hospital preferences, hospital bypass, and the efficiency of the health-seeking behaviors of patients, before and after Beijing’s public hospital reform in 2017, were compared. The results demonstrate that the effects of this reform on the hospital choices of patients were spatially different. In subdistricts with (or near) hospitals, the reform exerted the opposite impact on tertiary hospital preference compared with core and periphery areas. However, the reform had no significant effect on the tertiary hospital preference and hospital bypass in subdistricts without (or far away from) hospitals. Regarding the efficiency of the health-seeking behaviors of patients, the reform positively affected patient travel time, time of stay at hospitals, and arrival time. This study presents a time-efficient method to evaluate the effects of the recent public hospital reform in Beijing on a fine scale.

Frailty in cardiology: definition, assessment and clinical implications for general cardiology. A consensus document of the Council for Cardiology Practice (CCP), Association for Acute Cardio Vascular Care (ACVC), Association of Cardiovascular Nursing and Allied Professions (ACNAP), European Association of Preventive Cardiology (EAPC), European Heart Rhythm Association (EHRA), Council on Valvular Heart Diseases (VHD), Council on Hypertension (CHT), Council of Cardio-Oncology

Frailty is a health condition leading to many adverse clinical outcomes. The relationship between frailty and advanced age, multimorbidity and disability has a significant impact on healthcare systems. Frailty increases cardiovascular (CV) morbidity and mortality both in patients with or without known CV disease. Though the recognition of this additional risk factor has become increasingly clinically relevant in CV diseases, uncertainty remains about operative definitions, screening, assessment, and management of frailty. Since the burdens of frailty components and domains may vary in the various CV diseases and clinical settings, the relevance of specific frailty-related aspects may be different. Understanding these issues may allow general cardiologists a clearer focus on frailty in CV diseases and thereby make more tailored clinical decisions and therapeutic choices in outpatients. Guidance on identification and management of frailty are sparse and an international consensus document on frailty in general cardiology is lacking. Moreover, new options linked with eHealth are going to better define and manage frailty. This consensus document on definition, assessment, clinical implications, and management of frailty provides an input to integrate strategies pre- and post-acute CV events with a comprehensive view including out of hospital, office-based diagnostic and therapeutic choices, and based on a multidisciplinary team approach (general cardiologists, nurses, and general practitioners).

Patients’ Perspectives on Their Safety: A Qualitative Study in Two Public Health Facilities in Kaduna State, Nigeria

Background: Safe healthcare environments influence patients’ valuation of care received and impact on better health outcomes. It has been recognized that patients can contribute invaluably in improving the quality and safety of healthcare services they receive.Objective: To explore the perspectives of patients on their safety in healthcare.Methods: A qualitative study comprising of four (4) focus group discussions (FGDs) with six to eight participants was conducted in two public health facilities in Kaduna State, Nigeria. Patients admitted in medical wards (male and female) were recruited through a purposive sampling technique after obtaining their verbal informed consent to participate. A topic guide, containing open ended questions that explored patients’ opinions on their safety in healthcare was used for the discussions. All FGD sessions were recorded, transcribed and coded using thematic analysis.Results: The participants consisted of 15 females and 13 males in FGD sessions that lasted between 55 to 90 minutes. All participants were Hausa speaking, with varying levels of education. Six (6) themes were generated which the patients perceived to play a role in their safety in healthcare. These themes are: choice of hospital, patient satisfaction, patient experiences, patient engagement, communication openness and suggestions by patients for improvement.Conclusion: The findings of this study have highlighted both positive and negative perspectives of patients regarding their safety in healthcare. The patients provided some recommendations for areas where improvements are required for improved patient safety. These include infrastructural improvements, staffing, and availability of medicines, amongst others.

Do high-deductible health plans affect price paid for childbirth?

To test whether out-of-pocket costs and negotiated hospital prices for childbirth change after enrollment in high-deductible health plans (HDHPs) and whether price effects differ in markets with more hospitals. Administrative medical claims data from 2010 to 2014 from three large commercial insurers with plans in all U.S. states provided by the Health Care Cost Institute (HCCI). I identify employer groups that switched from non-HDHPs in 1 year to HDHPs in a subsequent year. I estimate enrollees' change in out-of-pocket costs and negotiated hospital prices for childbirth after HDHP switch, relative to a comparison group of employers that do not switch plans. I use a triple-difference design to estimate price changes for enrollees in markets with more hospital choices. Finally, I re-estimate models with hospital-fixed effects. From the HCCI sample, childbearing women enrolled in an employer-sponsored plan with at least 10 people. Switching to an HDHP increases out-of-pocket cost $227 (p < 0.001; comparison group base $790) and has no meaningful effect on hospital-negotiated prices (-$26, p=0.756; comparison group base $5821). HDHP switch is associated with a marginally statistically significant price increase in markets with three or fewer hospitals ($343, p=0.096; comparison group base $5806) and, relative to those markets, with a price decrease in markets with more than three hospitals (-$512; p=0.028). Predicted prices decrease from $5702 to $5551 after HDHP switch in markets with more than three hospitals due primarily to lower prices conditional on using the same hospital. Prices for childbirth in markets with more hospitals decrease after HDHP switch due to lower hospital prices for HDHPs relative to prices at those same hospitals for non-HDHPs. These results reinforce previous findings that HDHPs do not promote price shopping but suggest negotiated prices may be lower for HDHP enrollees.

A model for measuring healthcare accessibility using the behavior of demand: a conditional logit model-based floating catchment area method

BackgroundEstimating realistic access to health services is essential for designing support policies for healthcare delivery systems. Many studies have proposed a metric to calculate accessibility. However, patients’ realistic willingness to use a hospital was not explicitly considered. This study aims to derive a new type of potential accessibility that incorporates a patient’s realistic preference in selecting a hospital.MethodsThis study proposes a floating catchment area (FCA)-type metric combined with a discrete choice model. Specifically, a new FCA-type metric (clmFCA) was proposed using a conditional logit model. Such a model estimates patients’ realistic willingness to use health services. The proposed metric was then applied to calculate the accessibility of obstetric care services in Korea.ResultsThe clmFCA takes advantage of patients’ realistic preferences. Specifically, it can represent each patient’s heterogeneous characteristics regarding hospital choice. Such characteristics include bypassing behavior, which could not be considered using prior FCA metrics. Empirical analysis reveals that the clmFCA avoids the misestimation of accessibility to health services to an extent.ConclusionsThe clmFCA offers a new framework that more realistically estimates patients’ accessibility to health services. This is achieved by accurately estimating the potential demand for a service. The proposed method’s effectiveness was verified through a case study using nationwide data.

A SURVEY OF AI IMAGING TECHNIQUES FOR COVID-19 DIAGNOSIS AND PROGNOSIS

The Coronavirus Disease 2019 (COVID-19) has caused massive infections and death toll. Radiological imaging in chest such as computed tomography (CT) has been instrumental in the diagnosis and evaluation of the lung infection which is the common indication in COVID-19 infected patients. The technological advances in artificial intelligence (AI) furthermore increase the performance of imaging tools and support health professionals. CT, Positron Emission Tomography – CT (PET/CT), X-ray, Magnetic Resonance Imaging (MRI), and Lung Ultrasound (LUS) are used for diagnosis, treatment of COVID-19. Applying AI on image acquisition will help automate the process of scanning and providing protection to lab technicians. AI empowered models help radiologists and health experts in making better clinical decisions. We review AI-empowered medical imaging characteristics, image acquisition, computer-aided models that help in the COVID-19 diagnosis, management, and follow-up. Much emphasis is on CT and X-ray with integrated AI, as they are first choice in many hospitals.