Socioeconomic and Demographic Predictors of Missed Opportunities to Provide Advanced Imaging Services

Glover, McKinley; Daye, Dania; Khalilzadeh, Omid; Pianykh, Oleg S.; Rosenthal, Daniel I.; Brink, James A.; Flores, Efrén J.

doi:10.1016/j.jacr.2017.05.015

Cited by 74 publications

(48 citation statements)

References 37 publications

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“…In this study of medical imaging department non‐attendance, the rate of non‐attendance was 5.4%, which was similar to that reported by previous publications This study appears to be the only analysis of medical imaging non‐attendance in the Australian context, as well as the first to address this subject in the regional setting.…”

Section: Discussionsupporting

confidence: 88%

“…Patients aged 45–54 were the only group shown to be significantly less likely to attend. This result agrees with a recent study of non‐attendance in medical imaging but is at odds with the findings of other medical imaging studies that suggest that patients under 18 or over 65, respectively, are at greater incidence of non‐attendance …”

Section: Discussionsupporting

confidence: 86%

“…This result agrees with a recent study of non-attendance in medical imaging but is at odds with the findings of other medical imaging studies that suggest that patients under 18 or over 65, respectively, are at greater incidence of nonattendance. 21,22,26 The main strengths of this study were the large patient cohort allowing for a strong statistical correlation of outcomes. The study highlights the need for medical imaging departments to monitor non-attendance and consider implementing strategies to mitigate this.…”

Section: Discussionmentioning

confidence: 99%

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Factors associated with appointment non‐attendance at a medical imaging department in regional Australia: a retrospective cohort analysis

Mander

Reynolds

Cook

et al. 2018

J of Medical Radiation Sci

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IntroductionAppointment non‐attendance contributes added cost to the healthcare sector through wasted resource allocations. Medical imaging departments commonly schedule appointments for most modalities; however, no study has quantified patient attendance rates in the Australian regional setting. This is despite evidence that regional, rural and remote Australians tend to demonstrate poorer health than metropolitan counterparts. This study aims to identify the factors that influence appointment non‐attendance at a teaching hospital in regional Australia.MethodsCategories restricted to age, gender, indigenous status, distance from investigation site, referral source and imaging modality were collected for all appointments (N = 13,458) referred to the medical imaging department in 2015. The likelihood of each of these factors correlating with a patient not attending a scheduled appointment was calculated using the chi‐squared analysis and binary logistic regression.ResultsGender, indigenous status as well as specific imaging modalities, referral sources and age categories were significantly associated with non‐attendance. Overall, male patients were 1.57 (P < 0.001) times more likely to miss a scheduled appointment than female patients. Patients who identified as Aboriginal and Torres Strait Islander were 2.66 (P < 0.001) times more likely to miss a scheduled appointment than patients who did not identify as Aboriginal and Torres Strait Islander.ConclusionsSeveral key factors appear to affect medical imaging appointment non‐attendance. Key factors include indigenous status, gender, image modality, referral source and age. Further improvement is required to better meet the needs of underrepresented patient demographics.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

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Factors associated with appointment non‐attendance at a medical imaging department in regional Australia: a retrospective cohort analysis

Mander

Reynolds

Cook

et al. 2018

J of Medical Radiation Sci

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“…Overall, blacks is the United States are overrepresented in groups that are socioeconomically disadvantaged by poverty and less education and face larger barriers to health care [34]. In addition, differences in geographic access to medical care have shown significant racial disparities in greater travel time for blacks, which was associated with missing imaging care opportunities when compared to others [35]. Barriers such as these could negatively impact morbidity and mortality in MS. Further studies are needed to better identify the disparities in MS care that could be influencing mortality; that which could be modifiable.…”

Section: Discussionmentioning

confidence: 99%

Multiple Sclerosis Mortality by Race/Ethnicity, Age, Sex, and Time Period in the United States, 1999–2015

et al. 2018

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Background: Multiple sclerosis (MS) carries high morbidity and shortens life span. While there is recent recognition of other US minority populations such as blacks and Hispanics being affected with MS, examination of MS-specific mortality trends by race/ethnicity has been lacking. Objective: To investigate MS mortality rates and trends in the United States by sex, age, and race/ethnicity. Methods: We used the Compressed Mortality data file for 1999–2015 in the Wide-ranging online Data for Epidemiological Research system developed by the Center for Disease Control and Prevention to calculate the age-adjusted (US 2000 standard population) and age-specific MS mortality rate (per 100,000) by race/ethnicity and sex over time. Five mutually exclusive racial/ethnic groups were included in the analysis: non-Hispanic (NH) white, NH black, NH Asian or Pacific Islander (API), NH American Indian or Alaska Native, and Hispanic. Results: The average annual age-adjusted MS mortality rate was highest among NH whites (0.90 for males and 1.50 for females) immediately followed by NH blacks (0.75 for males and 1.42 for females), and lowest among APIs (0.05 for males and 0.12 for females). Statistically significant, increasing trend in age-adjusted MS mortality was observed during 1999–2015 among NH whites and NH blacks regardless of sex, more substantially in the latter. Age-specific MS mortality patterns showed NH blacks had the highest rate under age 55 and NH whites had the highest rate after that age point. For these 2 groups, MS mortality increased with age in both sexes and peaked at ages 55–64 for NH blacks and 65–74 for NH whites before declining substantially, while for Hispanic and API groups the risk plateaued after age 55. Conclusion: MS-specific mortality trends demonstrate distinctive differences by race/ethnicity and age. The observations that whites and females are more likely to die from MS is in line with the overall understanding that these groups are affected more by MS. However, the findings of blacks dying at an earlier age and having more substantially increasing mortality trends than whites suggest that MS burden weighs unequally by race. Further investigation into these trends may provide additional evidence into risk or protective factors within each group.

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“…Results also showed higher rates of IMCOs in non-English speakers and minorities. The authors proposed multiple causal factors including limited financial means and geographic barriers to access (11).…”

Section: Definitionsmentioning

confidence: 99%

Health Care Disparities in Radiology: A Primer for Resident Education

Americo

Ramjit

et al. 2019

Current Problems in Diagnostic Radiology

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As the population of the United States grows increasingly diverse, health care disparities become vital to understand and mitigate. The ethical and financial implications of how groups of Americans gain access to health care have evolved into some of today's most challenging socioeconomic problems. Educators in radiology are just beginning to tackle the concepts of health care disparities, unconscious bias, and cultural competency. In July 2017, the Accreditation Council for Graduate Medical Education required that all trainees and teaching faculty of accredited training programs receive training and experience in new areas of quality improvement to include an understanding of health care disparities as part of the core competencies. To our knowledge, there is no centralized curriculum regarding health care disparities for radiology residents and fellows. Many programs, in fact, have yet to introduce the concept to their trainees, who may have difficulty recognizing that this is even a problem affecting radiology. This manuscript serves as a primer for radiology trainees on health care disparities, with the goal of defining major concepts and providing examples of how variable access to radiological care can have substantial impact on patient outcomes.

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Socioeconomic and Demographic Predictors of Missed Opportunities to Provide Advanced Imaging Services

Cited by 74 publications

References 37 publications

Factors associated with appointment non‐attendance at a medical imaging department in regional Australia: a retrospective cohort analysis

Factors associated with appointment non‐attendance at a medical imaging department in regional Australia: a retrospective cohort analysis

Multiple Sclerosis Mortality by Race/Ethnicity, Age, Sex, and Time Period in the United States, 1999–2015

Health Care Disparities in Radiology: A Primer for Resident Education

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