final ppt_study on how older people are impacted by disasters
TRANSCRIPT
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Study on how older people are impacted by natural disastersHelpAge International – JamaicaDisaster Risk Reduction of Vulnerable Populations Presentation of findings
Prepared by: Tracey Edwards, Kerry-Ann Thompson (Research consultants)
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Background to the study
´ Outcome of the HelpAge International/USAID Funded Disaster Risk Reduction of Vulnerable Populations in Jamaica
´ Study was conducted over a two month period, August to September 2015
´ Report is sill be developed
´ Study conducted by independent consultants contracted to HAI Jamaica for the period
Parish Portland Frequency St. Elizabeth FrequencyCommunities Spring Hill
Fruitful Vale Bangor Ridge
53 (14.2%)69 (18.5%)40 (10.8%)
HollandBigwoodsSouthfield
60 (16.1%)30 (8.1%)120 (32.3%)
Aim of the study:To document the experiences and perspectives of older people affected by natural disasters, in order to understand the vulnerabilities and capacities of this age group at different stages of the disaster cycle.
Information gathered from the study will be used as an advocacy tool in promoting changes in those critical systems that are of importance to the well-being of this group
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Methodology
´ Random Sampling (10%) of the total population of older people, where the sample size fell below the expected sample 100 percent of the population of older people in the community was sampled
Data collection Expected Actual
Direct interviews with beneficiaries
400 372
Interviews with key informants
12 11
Focus group interviews 3 3
Analysis was carried out using Frequency distribution and Chi (☓2) for quantitative analysis (structured questionnaire)
NVIVO was used for analysis and coding of qualitative data (key informants and focus group interviews)
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Sample distribution by parish
0
50
100
150
200
250
300
350
400
Portland St Elizabeth Total
Sample distribution by parish
percent frequency
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Sample distribution of study site by age
87
77
71
50
2825
19 31
Frequency Distribution of sample by age
60-64
65-69
70-74
75-79
80-84
85-89
90-94
95-99
>/=100
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Findings of the Study: Ownership of assetsGender association Frequency distribution
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Findings of the study: Housing Conditions
Frequency distribution -Housing condition
Housing condition based on home ownership
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Findings: Frequency distribution on health status of older people
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Findings: Health Status and mobility
Age association with general health and mobility
Frequency distribution on general health of older people
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Findings: Social/family association
Gender distribution Age distribution
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Findings: Frequency distribution of economic source by gender and age
Gender distribution Age distribution
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Findings: Livelihood source and distribution by geography
Main livelihood sources Livelihood source by community
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Findings: Monthly income distribution by gender and age
Gender distribution Age distribution
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Findings: Group association, distributed by gender and ageGender distribution Age distribution
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Vulnerability: Level of preparedness
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Findings: Access to Key services by Community
Access to postal services/pension
Water resource distribution by community
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Findings: Access to pension services distributed by parish and community
Degree of access to health by community
Degree of access to pension by community
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Findings: Vulnerability based on exposure
Relationship between exposure to hazard and gender
Degree of exposure to select hazard by location
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Findings: Hazard with the highest degree of threat based on readiness
Hazard with highest level of threat by gender
Hazard with highest threat by parish
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Natural Hazard Impact on Vulnerable Older People
Frequency distribution and cross tab analysis based on Chi
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Findings: Distribution of hazard impact by gender and geography
Hazard impact by gender Hazard impact by
community
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Findings: Distribution of post disaster economic trends
Disaster as economic driver indicated by gender
Disaster as economic driver-indicated by age
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Findings: Post disaster-impact on health
Disaster impact on health as indicated by gender
Disaster impact on health as indicated by age
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Findings: Post disaster impact trends on socializationGender association post disaster
Association by age post disaster
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Post Disaster Impact on older people
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Findings: Long term effects on recovery based on impact
Gender distribution Age distribution
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Findings: Mental wellbeing and recovery post disaster
Disaster impact on recovery and mental health by Gender
Disaster impact on recovery and mental health by age
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Findings: Recommendation for intervention response distribution by gender
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Summary of Key Findings
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Summary of key findings: HealthHealth findings Health findings
q 72% of older persons surveyed suffer from some form of illness• High blood pressure, vision, breathing and hearing problems, arthritis, and headaches were most frequently reported
q A high percentage of respondents from Bangor Ridge and Spring Hill in Portland and Big Woods and Holland in St. Elizabeth find health services difficult to access
q Post-disaster health impacts most frequently reported include new or worsened physical conditions: diarrhoea, high blood pressure, vision problems, headaches and arthritis; and mental conditions: feelings of depression and anxiety, worry and hopelessness
q Health issues significantly affects respondents’ ability to prepare for disaster
q Access to health care services decline significantly after a disaster, with over 40% of respondents reporting that they take more than a month to resume
q Mobility issues are most strongly reported amongst the 80-89 age group. •
Amongst the moderately to severely frail, more than 75% of respondents are over 70 years of age
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Summary of key findings: Livelihoods
Livelihood findings Livelihood findings
q 33.9% of respondents are engaged in some form of farming
q Farming forms the highest source of income, and is the only substantial “earned livelihood”
q A higher percentage of farmers earn the lowest two income brackets compared to non-farmers, a higher percentage of whom earned higher than JMD 15000 per month (25.3% of non-farmers versus 12.5% of farmers).
q 51.65% of farmers are male, and 48.35% are female
q In Portland, farmers were the only ones to cite fire as another major hazard, and 48% percent of those citing landslides as a major hazard were farmers
q 23.23% of farmers live in poor or worse housing
q The drought conditions of 2014 and 2015 have been particularly hard on farmers. The drought conditions have brought reduced rainfall, and water lock-offs, which has resulting the dying-off of crops.
q . Farmers generally report better mobility and lower frailty than non-farmers
q Farmers generally indicate that they can move very well without obstacles; only 7.07% of farmer reported needing assistance to get around, compared to 17.55% of non-farmers. 12.77% of farmers indicate that they are apparently vulnerable to severely frail, compared to 22.98% of non-farmers
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Summary of key findings: living alone
Findings: living alone Findings: Living aloneq 21.4% of older persons
surveyed in St. Elizabeth live alone while 29% of persons in Portland live alone
q Among those who live alone cited inability to prepare on their own (30%), requiring assistance to protect their home (17.5%), and financial need (17.5%) as reasons for requiring assistance for preparation for hazards.
q A higher proportion of females than males lived within someone else in both St. Elizabeth and Portland, whereas a higher proportion of males than females lived alone
q Persons who lived with someone were less likely to have feelings of loneliness (Table E.4) than those who lived alone
q A higher percentage of of persons who live alone have reported health conditions (Table E.2) and mobility issues
q In St. Elizabeth, more than half (50.7%) of those who live with someone else indicated that they felt lonely at times: In Portland, 32% of those who live with someone and feel lonely at times is also notable (32%).
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Summary of Key findings: Housing Condition
Findings: housing conditions Findings: housing conditionsq Housing Condition was most frequently cited
as a vulnerability factor of older persons amongst stakeholders interviewed (Council for the Elderly; Health; SDC St. Elizabeth; ODPEM; Parish Council)
q Income is a significant determinant of housing condition in St. Elizabeth, but not Portland
q Poor to very Poor housing is associated with 24.2% of persons surveyed living in Portland, versus 10.4% of persons of persons surveyed in St Elizabeth
q Southfield, St Elizabeth had by far the highest percentage of housing stock in good or very good condition (69.3%)
q The majority of the St Elizabeth persons living in very poor housing were earning the less than JMD 5000.00 per month range (63.6%)
q Bangor Ridge had the highest percentage of Poor to Very Poor housing (28.8%)
q St. Elizabeth has much higher percentage of homes made of concrete (72.9%) than Portland (46.3%)
q In Portland, 80% of older people surveyed live in some form of exposed area, whereas in St. Elizabeth, 63.3% of persons lived in some form of exposed area
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Contributors to the study
Study conducted by
Kerry-Ann Thompson Tracey Edwards
Quantitativedata collection conducted by
PortlandCommunity volunteers
St. ElizabethCommunity volunteers
Key informants Portland1. Parish Council2. Parish Disaster Coordinator
(ODPEM)3. Port Antonio Health CentreKingston:4. Mona Ageing and Wellness Centre5. National Council for Senior Citizens6. Planning Institute of Jamaica7. Office of Disaster Preparedness
and Emergency Management
St. Elizabeth8. Social Development Commission (Santa
Cruz)9. Poor Relief Kingston:10. Ministry of Labour and Social Security
(MLSS)11. Ministry of Local Government and
Community Development (Board of Supervision
Focus group interviews
Farmers group (Fruitful Vale)Older males (Bangor Ridge)
Older Females (Bigwoods)
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Thank you