‘Natural’ Disasters and Cancer Care Disruptions:
Perspectives from Providers in Puerto Rico Following Hurricane Maria
Genevieve S. Silva,1 Leyda Marrero Morales,2 Isabelle Do,3 Taylor Drew,4 Ana Velazquez-Manana,5 Hiram A. Gay,6 Katie E. Lichter7,8,9
1. Transitional Year Residency Program, Penn Medicine Doylestown; 2. University of California San Francisco (UCSF) School of Medicine; 3. University of Alabama at Birmingham Marnix E. Heersink School of Medicine, 4. Grant Medical Center, Columbus Ohio, 5. UCSF Division of Hematology-Oncology, 6. Department of Radiation Oncology, WashU Medicine, 7. Department of Radiation Oncology and Applied Sciences at Dartmouth Hitchcock Medical Center, 8. The Dartmouth Institute for Health Policy and Clinical Practice Dartmouth Geisel School of Medicine, 9. School of Medicine, UCSF
Background
Methods
Results
Conclusions & Future Directions
Acknowledgements
Thank you to our collaborators in PR. ____ XXX
For all study-related questions, please contact Dr. Katie Lichter: katie.lichter@ucsf.edu
1 PMID: 37066399, 2 PMID: 30999000, 3 PMID: 38304108
Figure 1. Distribution of Reported Climate Impacts on Radiation Oncology Clinics in Puerto Rico (2017-2024)
Radiation oncology clinics in Puerto Rico, color-coded by reported impact from climate disasters. Counties outlined in white. (A) Degree of social vulnerability (SV), per US Census Bureau’s Community Resilience Estimates for Equity (0, 1-2, and ≥3 components of SV). (B) Degree of total FEMA aid (USD) after Hurricanes Maria & Irma.
Table 1. Perceived and Self-Reported Impacts of Climate Disasters on Radiation Oncology Providers, Staff, and Patients | ||||
Dimension of climate disaster impact (n = 10)* | Perceived Patients Impacts (n, %) | Perceived Staff Impacts (n, %) | Self-reported Physician/Physicist Impacts (n, %) | P value** |
Poor air quality | 2 (20%) | 1 (10%) | 0 (0%) | - |
Geographic relocation | 4 (40%) | 4 (40%) | 0 (0%) | - |
Community/regional evacuations | 6 (60%) | 2 (20%) | 1 (10%) | < 0.001 |
Health issues (due to lung exposure to smoke, infectious disease, etc) | 6 (60%) | 2 (20%) | 0 (0%) | - |
Limited/no access to food | 6 (60%) | 4 (40%) | 2 (20%) | < 0.005 |
Limited/no access to clean water | 6 (60%) | 5 (50%) | 4 (40%) | > 0.05 |
Mental health burden(s) | 6 (60%) | 5 (50%) | 3 (30%) | > 0.05 |
Temporary home evacuation | 6 (60%) | 5 (50%) | 2 (20%) | < 0.005 |
Financial burden(s) | 7 (70%) | 6 (60%) | 5 (50%) | > 0.05 |
Unable or advised to not to leave home | 8 (80%) | 7 (70%) | 4 (40%) | < 0.05 |
Loss of communication with medical providers, patients, and/or colleagues | 8 (80%) | 9 (90%) | 7 (70%) | > 0.05 |
Home/property damage | 9 (90%) | 9 (90%) | 9 (90%) | > 0.05 |
Interruption of access to transportation/transportation services (e.g., public transit, personal vehicle, etc.), including damage to roads | 9 (90%) | 9 (90%) | 7 (70%) | < 0.05 |
School and/or childcare closures related to the climate-fueled extreme weather event/emergency | 9 (90%) | 9 (100%) | 8 (80%) | > 0.05 |
Loss of medical records | 0 (0%) | - | - | - |
Patient relocation and transfer of care to an alternative treatment facility/clinic | 4 (40%) | - | - | - |
Reduced access to medical supplies, devices, and/or pharmaceuticals | 7 (70%) | - | - | - |
Clinic or patient rescheduled appointment(s) | 9 (90%) | - | - | - |
Patient(s) missed appointment(s) | 9 (90%) | - | - | - |
Changed practice location(s) permanently | - | 1 (10%) | 0 (0%) | - |
Considered early retirement and/or retired early | - | 1 (10%) | 1 (10%) | - |
Moved homes permanently | - | 2 (20%) | 1 (10%) | - |
Changed practice location(s) temporarily | - | 3 (30%) | 1 (10%) | - |
Table 2. Consequences for clinic operation due to extreme climate event (n = 10)* | |
Other: Insurance Denial of coverage for damages caused | 1 (10%) |
Limited/no access to clean water | 2 (20%) |
Physical destruction of the clinic infrastructure (i.e. buildings, treatment machines, etc.) | 3 (30%) |
Unavailable medical supplies, devices, and/or pharmaceuticals | 3 (30%) |
Patient transfers | 4 (40%) |
Clinic closure(s) | 6 (60%) |
Financial burden(s) | 6 (60%) |
Staffing Shortages | 6 (60%) |
Interruption of communication systems (i.e. damaged phone lines and/or loss of internet) | 8 (80%) |
Power outage(s) | 9 (90%) |
*Nine respondents answered these prompts directly. An n of 10 is used to account for the one respondent who indicated they were unaffected by climate disasters. The darker the shade of red, the more highly endorsed that experience was by respondents.
*Nine respondents answered these prompts directly. An n of 10 is used to account for the one respondent who indicated being unaffected by climate disasters. **Pearson χ2 values identify the differences in values between perceived impact on patients and physician/physicists. Statistical significance cut-off of p=0.05. The darker the shade of red, the more highly endorsed that experience was by respondents.
Results
‘Natural’ Disasters and Cancer Care Disruptions:
Perspectives from Providers in Puerto Rico Following Hurricane Maria
Genevieve S. Silva,1 Leyda Marrero Morales,2 Isabelle Do,3 Taylor Drew,4 Ana Velazquez-Manana,5 Hiram A. Gay,6 Katie E. Lichter7,8,9
1. Transitional Year Residency Program, Penn Medicine Doylestown; 2. University of California San Francisco (UCSF) School of Medicine; 3. University of Alabama at Birmingham Marnix E. Heersink School of Medicine, 4. Grant Medical Center, Columbus Ohio, 5. UCSF Division of Hematology-Oncology, 6. Department of Radiation Oncology, WashU Medicine, 7. Department of Radiation Oncology and Applied Sciences at Dartmouth Hitchcock Medical Center, 8. The Dartmouth Institute for Health Policy and Clinical Practice Dartmouth Geisel School of Medicine, 9. School of Medicine, UCSF
Background
Results
1 PMID: 37066399, 2 PMID: 30999000, 3 DOI: 10.1007/s11111-020-00338-6, 4 PMID: 38304108
Results
Methods
Peak gust wind speed and 48-hr total rainfall (in) from Hurricane Maria (Figure 1a, c) [3]
Dimension of climate disaster impact (n = 10)* | Perceived Patients Impacts (n, %) | Perceived Staff Impacts (n, %) | Self-reported Physician/Physicist Impacts (n, %) | P value** |
Poor air quality | 2 (20%) | 1 (10%) | 0 (0%) | - |
Geographic relocation | 4 (40%) | 4 (40%) | 0 (0%) | - |
Community/regional evacuations | 6 (60%) | 2 (20%) | 1 (10%) | < 0.001 |
Health issues (due to lung exposure to smoke, infectious disease, etc) | 6 (60%) | 2 (20%) | 0 (0%) | - |
Limited/no access to food | 6 (60%) | 4 (40%) | 2 (20%) | < 0.005 |
Limited/no access to clean water | 6 (60%) | 5 (50%) | 4 (40%) | > 0.05 |
Mental health burden(s) | 6 (60%) | 5 (50%) | 3 (30%) | > 0.05 |
Temporary home evacuation | 6 (60%) | 5 (50%) | 2 (20%) | < 0.005 |
Financial burden(s) | 7 (70%) | 6 (60%) | 5 (50%) | > 0.05 |
Unable or advised to not to leave home | 8 (80%) | 7 (70%) | 4 (40%) | < 0.05 |
Loss of communication with medical providers, patients, and/or colleagues | 8 (80%) | 9 (90%) | 7 (70%) | > 0.05 |
Home/property damage | 9 (90%) | 9 (90%) | 9 (90%) | > 0.05 |
Interruption of access to transportation/transportation services (e.g., public transit, personal vehicle, etc.), including damage to roads | 9 (90%) | 9 (90%) | 7 (70%) | < 0.05 |
School and/or childcare closures related to the climate-fueled extreme weather event/emergency | 9 (90%) | 9 (100%) | 8 (80%) | > 0.05 |
Loss of medical records | 0 (0%) | - | - | - |
Patient relocation and transfer of care to an alternative treatment facility/clinic | 4 (40%) | - | - | - |
Reduced access to medical supplies, devices, and/or pharmaceuticals | 7 (70%) | - | - | - |
Clinic or patient rescheduled appointment(s) | 9 (90%) | - | - | - |
Patient(s) missed appointment(s) | 9 (90%) | - | - | - |
Changed practice location(s) permanently | - | 1 (10%) | 0 (0%) | - |
Considered early retirement and/or retired early | - | 1 (10%) | 1 (10%) | - |
Moved homes permanently | - | 2 (20%) | 1 (10%) | - |
Changed practice location(s) temporarily | - | 3 (30%) | 1 (10%) | - |
Table 1. Perceived and Self-Reported Impacts of Climate Disasters on Radiation Oncology Providers, Staff, and Patients
*Nine respondents answered these prompts directly. An n of 10 is used to account for the one respondent who indicated being unaffected by climate disasters. **Pearson χ2 values identify the differences in values between perceived impact on patients and physician/physicists. Statistical significance cut-off of p=0.05. The darker the shade of red, the more highly endorsed that experience was by respondents.
Conclusions & Future Directions
Acknowledgements
Thank you to our collaborators, Dr. Vanessa Marcial and Dr. Lawrence Sheplan in Puerto Rico.
For all study-related questions, please contact Dr. Katie Lichter: katie.lichter@ucsf.edu
Consequences for clinic operation due to extreme climate event (n = 10)* | (n, %) |
Other: Insurance Denial of coverage for damages caused | 1 (10%) |
Limited/no access to clean water | 2 (20%) |
Physical destruction of the clinic infrastructure (i.e. buildings, treatment machines, etc.) | 3 (30%) |
Unavailable medical supplies, devices, and/or pharmaceuticals | 3 (30%) |
Patient transfers | 4 (40%) |
Clinic closure(s) | 6 (60%) |
Financial burden(s) | 6 (60%) |
Staffing Shortages | 6 (60%) |
Interruption of communication systems (i.e. damaged phone lines and/or loss of internet) | 8 (80%) |
Power outage(s) | 9 (90%) |
Table 2. Clinic operation impacts experienced due to climate-fueled extreme weather events occurring in the last 5 years
*Nine respondents answered these prompts directly. An n of 10 is used to account for the one respondent who indicated they were unaffected by climate disasters. The darker the shade of red, the more highly endorsed that experience was by respondents.
Figure 1. Distribution of Reported Climate Impacts on Radiation Oncology Clinics in Puerto Rico (2017-2024)
Radiation oncology clinics in Puerto Rico, color-coded by reported impact from climate disasters. Counties outlined in white. (A) Degree of social vulnerability (SV), per US Census Bureau’s Community Resilience Estimates for Equity (0, 1-2, and ≥3 components of SV). (B) Degree of total FEMA aid (USD) after Hurricanes Maria & Irma.