| Literature DB >> 35603993 |
Joanna G Katzman1, Laura E Tomedi2, David Herring3, Hunter Jones3, Ralph Groves4, Kent Norsworthy2, Chamron Martin2, Jinyang Liu2, Briana Kazhe-Dominguez2, Sanjeev Arora5.
Abstract
INTRODUCTION: Climate change is a global public health emergency causing extensive morbidity and mortality worldwide. Although most large medical organizations endorse the need to train health care professionals in climate change, such trainings are not readily available.Entities:
Keywords: climate change education; community health; primary care; public health education; telementoring
Mesh:
Year: 2022 PMID: 35603993 PMCID: PMC9134393 DOI: 10.1177/21501319221102033
Source DB: PubMed Journal: J Prim Care Community Health ISSN: 2150-1319
Project ECHO Climate Change and Human Health Program Pilot Curriculum, February to April 2021.
| Topic | |
|---|---|
| Week 1 | The Science of Climate Change |
| Week 2 | Connecting Climate and Human Health Outcomes |
| Week 3 | Global Warming, Extreme Heat, and Vulnerable Populations |
| Week 4 | Climate Change, Air Quality, and Respiratory Illness |
| Week 5 | Climate, Heavy Precipitation, and Water and Vector-Borne Diseases |
| Week 6 | Climate Change and Food Security; Climate Change and Mental Health |
| Week 7 | Extreme Weather Events and Disaster Preparedness |
| Week 8 | Climate Change Communication |
Climate Change and Human Health ECHO 8 Week Session-Attendee Characteristics by Survey Response, February to April 2021.
| Characteristic | Registration,
| Post-course survey, N (%) | 3-month post, N (%) | ||
|---|---|---|---|---|---|
| Total | 452 (100.0) | 66 (100.0) | n/a | 86 (100.0) | n/a |
| Country | |||||
| United States | 394 (87.2) | 57 (86.4) | .567 | 71 (82.6) | .083 |
| Non-United States | 58 (12.8) | 9 (13.6) | 15 (17.4) | ||
| Gender | |||||
| Female | 278 (61.5) | 47 (71.2) | .697 | 64 (75.3) | .947 |
| Male | 101 (22.3) | 18 (27.3) | 19 (22.4) | ||
| Non-binary | 4 (0.9) | 1 (1.5) | 1 (1.2) | ||
| Race/Ethnicity
| |||||
| American Indian/Alaskan Native | 22 (4.9) | 2 (3.0) | .484 | 5 (5.8) | .703 |
| Asian or Pacific Islander | 30 (6.6) | 2 (3.0) | .210 | 7 (8.1) | .740 |
| African American/Black | 22 (4.9) | 2 (3.0) | .363 | 9 (10.5) | .061 |
| Hispanic/Latino/Spanish | 63 (13.9) | 16 (24.2) | .025 | 15 (17.4) | .277 |
| White | 240 (53.1) | 45 (68.2) | .152 | 49 (57.0) | .701 |
| Other | 18 (4.0) | 3 (4.6) | .793 | 6 (7.0) | .857 |
| Age (years) | |||||
| 20-35 | 88 (23.8) | 6 (10.0) | .062 | 7 (10.3) | .023 |
| 36-50 | 91 (24.6) | 14 (23.3) | 14 (20.6) | ||
| 51-65 | 118 (31.9) | 26 (43.3) | 26 (38.2) | ||
| 66+ | 73 (19.7) | 14 (23.3) | 21 (30.9) | ||
| Degree | |||||
| PhD | 130 (28.8) | 7 (10.6) | .485 | 8 (9.3) | .209 |
| MD/DO | 92 (20.4) | 18 (27.3) | 25 (29.1) | ||
| MPH | 50 (11.1) | 5 (7.6) | 4 (4.7) | ||
| RN/LPN | 35 (7.7) | 8 (12.1) | 20 (23.3) | ||
| LSW/Counselor | 17 (3.8) | 5 (7.6) | 3 (3.5) | ||
| NP/PA | 17 (3.8) | 4 (6.1) | 4 (4.7) | ||
| CHW | 15 (3.3) | 4 (6.1) | 3 (3.5) | ||
| Other
| 96 (21.2) | 15 (22.7) | 19 (22.1) | ||
| Area of focus | |||||
| Public Health | 179 (42.2) | 18 (27.3) | <.001 | 31 (36.1) | .343 |
| Primary Care Medicine | 80 (17.0) | 13 (19.7) | 20 (23.3) | ||
| Specialty Care Medicine | 67 (14.2) | 14 (21.2) | 12 (14.0) | ||
| Education | 45 (10.0) | 9 (13.6) | 15 (17.4) | ||
| Lost Term Care | 11 (2.3) | 4 (6.1) | 1 (1.2) | ||
| Research | 6 (1.3) | 5 (7.6) | 1 (1.2) | ||
| First Responder | 2 (0.4) | 0 (0.0) | 1 (1.2) | ||
| National Park/Land Management | 1 (0.2) | 0 (0.0) | 0 (0.0) | ||
| Other
| 60 (12.7) | 3 (4.6) | 6 (7.0) | ||
Missing/refused-registration: gender (69), race/ethnicity (57), age (82), focus (1); 3-month: gender (2).
Pathology, protective services, journalism, peace engineering, administration.
P < .05. **P < .001.
Race/ethnicity categories are not mutually exclusive; other includes: “Malagasy,” “Too many to name,” and “mixed.”
Doctor of veterinary medicine, doctor of pharmacy, juris doctor, masters other than MPH, bachelors, student, none, etc.
Climate Change and Human Health ECHO Behaviors, Confidence, Knowledge, and Attitudes by Survey Response, February to April 2021.
| How often do you talk to your patients/community members about climate change and their health? N = 23 | Registration, n (%) | Post-course survey, n (%) | Three-month post, n (%) | |
|---|---|---|---|---|
| Never | 3 (13.0) | 2 (8.7) | 0 (0.0) | .029 |
| Rarely, I have only had one or two conversations | 4 (17.4) | 3 (13.0) | 4 (17.4) | |
| Sometimes, I have had some conversations with patients/community members | 12 (52.2) | 14 (60.9) | 15 (65.2) | |
| Frequently, I almost always have this conversation | 4 (17.4) | 4 (17.4) | 4 (17.4) | |
| Confidence in. . . | Score before | Score after | ||
| Talking to patients/community members about climate change and how it relates to their physical and mental health | 2.3 | 3.2 | <.001 | |
| Talking to patients/community members about climate-related disaster preparedness | 2.2 | 3.1 | <.001 | |
| Agreement with. . . | Score before | Score after | ||
| My general knowledge about climate science is very strong | 3.2 | 3.8 | <.001 | |
| My general knowledge about the impacts of climate change on human health was very strong | 3.1 | 3.9 | <.001 | |
| My knowledge of heat-related effects (eg, heatstroke, heat exhaustion, cardio-respiratory illness) was very strong | 3.3 | 3.9 | <.001 | |
| My knowledge of vector borne infection (eg, Lyme, West Nile, Dengue Fever, Malaria) was very strong | 2.9 | 3.6 | <.001 | |
| My knowledge of diarrhea from food/water and vector-borne illnesses (eg, Salmonella, Giardia, Cryptosporidia) following heavy precipitation was very strong | 3.0 | 3.6 | <.001 | |
| My knowledge of injuries due to severe storms, floods, droughts, fires was very strong | 3.1 | 3.8 | <.001 | |
| My knowledge of air pollution related increases in severity of illness (eg, asthma, COPD, pneumonia, cardiovascular disease) was very strong | 3.4 | 3.8 | <.001 | |
| My knowledge of increased care for allergic sensitization and symptoms of exposure to plants or mold (visits to office/ER for asthma/allergic symptoms) was very strong | 2.9 | 3.6 | <.001 | |
| My knowledge of the mental health effects of climate change was very strong | 2.9 | 3.7 | <.001 | |
| My knowledge of the interrelatedness between social determinants of health (poverty, living situation, access to health care) and climate change was very strong | 3.3 | 3.9 | <.001 | |
| Agreement with. . . | Score before | Score after | ||
| Climate change is directly relevant to patient care | 3.3 | 3.9 | <.001 | |
| Climate change is a public health emergency | 3.6 | 3.9 | <.001 | |
| Teaching about climate change and its association with health impacts should be integrated into medical and public health training | 3.6 | 3.9 | <.001 | |
| Health care professionals should have a significant advocacy role in relation to climate change and health | 3.6 | 4.0 | <.001 | |
| Health care professionals have a responsibility to bring the health effects of climate change to the attention of their patients | 3.5 | 4.0 | <.001 | |
| Health care professionals have a responsibility to bring the health effects of climate change to the attention of the public | 3.5 | 4.0 | <.001 | |
| Health care professionals should have a leadership role in encouraging offices, clinics, hospitals to be as environmentally sustainable as possible. | 3.9 | 4.0 | <.001 | |
| Professional societies should have a significant advocacy role in relation to climate change and health | 3.6 | 4.0 | <.001 | |
| The actions I take in my personal and professional life can contribute to effective action on climate change | 3.7 | 4.0 | .006 | |
| If I talk to patients/community members about climate change, it will make a difference in their health | 3.4 | 3.9 | <.001 | |