Integrating Public Health–Oriented E-Learning Into Graduate Medical Education

Hemans-Henry, Calaine; Greene, Carolyn M.; Koppaka, Ram

doi:10.2105/ajph.2012.300669

Cited by 6 publications

(3 citation statements)

References 6 publications

(2 reference statements)

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“…The data reporting improvements we observed are likely to be a result of continuous and enhanced efforts by federal, state and local governments in the United States over the past three decades. These efforts include improved quality of training and practice for coding and selection 23 – 26 and the development of automated coding and classification systems using computer procedures that implement standardized selection rules consistent with ICD-10 modifications 3 , 4 , 14 , 16 , 27 . For example, New York city created an eLearning instructional course on cause-of-death reporting in 2008 and mandated this course for users of the electronic death registration system in 2010 3 , 4 .…”

Section: Discussionmentioning

confidence: 99%

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Changes in reporting for unintentional injury deaths, United States of America

Ning

Schwebel

Chu

et al. 2019

Bull. World Health Organ.

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Objective To quantify how changes in reporting of specific causes of death and of selecting underlying cause from among multiple causes of death contribute to trends in mortality from unintentional injury in Americans aged 65 years or older. Methods We extracted age-standardized unintentional injury mortality data in the United States Centers for Disease Control and Prevention online databases from 1999 to 2016. We used an attribution method to calculate two indicators: the proportion of mortality with specific codes out of all mortality; and the proportion of mortality with underlying cause of death selected from multiple causes of death. We conducted a linear regression to examine the changes over time in these proportions and in reported and age-adjusted mortality. Findings From 1999 through 2016, the proportion of cause-specific unintentional injury mortality in this age group increased from 74% in 1999 (136.9 out of 185.0 per 100 000 population) to 85% in 2016 (143.0 out of 169.1 per 100 000 population) based on multiple causes of death codes. The proportions of mortality with underlying cause of death selected out of multiple causes of death rose in all specific causes of unintentional injury except motor vehicle crash. Age-standardized mortality attributed to reporting changes increased steadily between 1999 and 2016. The increases for overall unintentional injury, fall, motor vehicle crash, suffocation, poisoning and fire or hot object were 24.2, 13.5, 2.1, 2.3, 1.6 and 0.4 deaths per 100 000 persons, respectively. Conclusion Changes in data reporting affect trends in overall and specific unintentional injury mortality over time for older Americans.

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Section: Discussionmentioning

confidence: 99%

“…For example, New York city created an eLearning instructional course on cause-of-death reporting in 2008 and mandated this course for users of the electronic death registration system in 2010 3 , 4 . Empirical research demonstrated these changes were successful in teaching medical professionals to report cause of death accurately 23 , 24 …”

Section: Discussionmentioning

confidence: 99%

Changes in reporting for unintentional injury deaths, United States of America

Ning

Schwebel

Chu

et al. 2019

Bull. World Health Organ.

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“…Although such initiatives do not address underlying systemic issues, they show promise in improving the accuracy of death certification, reducing errors in underlying cause of death designation and causal sequencing on death certificates, and improving agreement between hospital discharge diagnoses and cause of death reporting. 18 –24 However, it remains unclear whether such programs will improve lay understanding, particularly when communication issues are not addressed.…”

Section: Discussionmentioning

confidence: 99%

“They Said on the Death Certificate…But Really What I Think Happened”

et al. 2018

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Cause of death information is a vital resource for family and public health, yet significant issues persist regarding its determination, documentation and communication. In this study, we aim to characterize cause of death attribution process from the perspective of next-of-kin of Veterans who died in Veterans Affairs (VA) Medical Centers. Using a semi-structured guide, we explored next-of-kin's experiences of the Veteran's terminal hospitalization and conducted a content analysis of interview texts. In over two-third of cases next-of-kin's understanding was not consistent with their recollection of physicians' determination of cause of death. Discrepancies between official cause of death and lay understanding engendered confusion and distress. Findings have relevance for shaping the context of post-death patient/family-centered clinical practice and serve as a means for improving efficacy of cause of death communication and reducing potential for misunderstandings.

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