introductionparticipants and methodsresults, tables and graphics discussionreferences
TRANSCRIPT
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
The health care should be provided in view of complete welfare of the patient
Definition of “health”, which has been existed till now and basically refers to the preamble of WHO Constitution in 1948, noted that: “Health is a state of complete physical, mental, and social well being, not merely the absence of disease or infirmity. The enjoyment of the highest attainable standard of health is one of the fundamental rights of every human being without distinction of race, religion, political belief, economic or social condition” [1]
The individual must be considered in all its extension: physical, psychological and social dimensions:
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
The health care should be provided in view of complete welfare of the patient
Definition of “health”, which has been existed till now and basically refers to the preamble of WHO Constitution in 1948, noted that: “Health is a state of complete physical, mental, and social well being, not merely the absence of disease or infirmity. The enjoyment of the highest attainable standard of health is one of the fundamental rights of every human being without distinction of race, religion, political belief, economic or social condition” [1]
The individual must be considered in all its extension: physical, psychologic and social dimensions:
“Complete welfare” is differently understood by different peolple, according to the importance they assign to the multiple components of health
People should intervene in this conception of health care, being asked about the way they value the referred components constituents of health
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
The health care should be provided in view of complete welfare of the patient
Definition of “health”, which has been existed till now and basically refers to the preamble of WHO Constitution in 1948, noted that: “Health is a state of complete physical, mental, and social well being, not merely the absence of disease or infirmity. The enjoyment of the highest attainable standard of health is one of the fundamental rights of every human being without distinction of race, religion, political belief, economic or social condition” [1]
The individual must be considered in all its extension: physical, psychologic and social dimensions:
“Complete welfare” is differently understood by different peolple, according to the importance they assign to the multiple components of health
People should intervene in this conception of health care, being asked about the way they value the referred components constituents of health
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
The conception of “complete welfare” of a society could offer an indication about what are the areas of health services in wich the investment of resources (economical or human) should be done, in order to obtain the better health level in the population
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
The conception of “complete welfare” of a society could offer an indication about what are the areas of health services in wich the investment of resources (economical or human) should be done, in order to obtain the better health stage of the population
By changing the health services of medical assistance in order to treat patients according to all the necessities they reveal, it is possible that the generalized health state of the population could improve, making higher the quality of life of the active population
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It is necessary to analyse how the elements of a society value different health-states, adjusting the survival years of the treated patients considering their conception of quality of life
In order to ascertain the prospects of the societies about the importance of certain parameters to be achieved the “life
with quality” several questionnaires have been developed, of which, in this study, it will be used EQ-5D
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“The EQ-5D provides community-based preference weights (utilities) for calculating quality adjusted life years (QALYs) in cost-utility analisys” [2]
“EQ-5D is a generic measure of health status that provides a simple descriptive profile and a single index value that can be used in the clinical and economic evaluation of health care and in population health surveys” [3]
In this article, EQ-5D is understood as a preference-based measure designed to summarise HR-QOL in a single number ranging from 0 to 1. [4]
“Assessment of strenght of preference values (utilities) for patients’ own health or disease states from a societal perspective, is na essencial element to economic evaluations of healthcare interventions” [5]
IntroductionParticipants and
MethodsResults, Tables and
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AIMS OF THE STUDY:
Compare the differences between the opinions of the three groups interviewed (FMUP, FEUP and outpatient consulting in order:
Analyze who has the more optimistic/pessimistic opinions
Discover which group shows more difficulties in answering the questionnaire
Compare the worst and best health-state chosen by each group
Create separated mathematical models based on the results obtained on each group generalize the conclusions of the study, applying them to the comparison of perpectives about health of different groups in the population: university students, students related with health and ill people
IntroductionParticipants and
MethodsResults, Tables and
GraphicsDiscussion References
IntroductionParticipants and
MethodsResults, Tables and
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
IntroductionParticipants and
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Target Population: FMUP and FEUP students and patients in the outpatient consulting
Sampling Method: non-random method
Inclusion Criteria: being FMUP or FEUP student or a patient in the outpatient consulting in São João Hospital, that is awating the call
Exclusion Criteria: it hasn´t been defined exclusion criteria a priori, although it will not be possible to consider the questionnaires wich were not filled completely, including those of the patients whom presence was solicited for the call
Sample size: 50-100 respondants in each group
Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
Ill peopleUniversity studentsStudents related with health
IntroductionParticipants and
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
FMUP / FEUP
Years
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
FMUP / FEUP
Years
Classes
IntroductionParticipants and
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
FMUP / FEUP
Years
Classes
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
Outpatient Consulting
Services
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
Outpatient Consulting
Services
IntroductionParticipants and
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
Observational
There isn’t a direct application of an intervention to the population; it is observed and its characteristics are recorded
Cross-Sectional
The data collection is done only once time
Unit of analysis
Individual
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
FMUP FEUP Outpatient Consulting
Individuals50 < N < 100
EQ-5D
Results Analysis Conclusions
PERSONAL
INTERVIEW
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
JUSTIFICATION FOR THE CHANGES:
Adoption of personal interview advantages: participants can clarify doubts;
it is ensured that the questionnaire is well responded less invalid questionnaires;
provides a good answer rate;
practical barrier for using a random sample different target population:it is adequated to the number of disponible interviewers (12), can show how ill people, medicinestudents and non-medicine students evaluate each health-state
it would imply a larger number of deslocations and a larger number of interviewers to be done in the pretended period of time
PREVIOUS SELECTION OF THE STUDY PARTICIPANTS:
Random method
AIMS OF THE STUDY:
Compare the differences between the opinions of the three groups interviewed in order to:
Analyze who has the more optimistic/pessimistic opinions
Discover which group shows more difficulties in answering the questionnaire
Compare the worst and best health-state chosen by each group
Create separated mathematical models based on the results obtained on each group generalize the conclusions of the study, applying them to the comparison of perpectives about health of different groups in the population: university students, students related with health and ill people
IntroductionParticipants and
MethodsResults, Tables and
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PREVIOUS AIM:Analyse how the Oporto inhabitants value different health-states;
Create a model adapted to Oporto reality;
Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
IntroductionParticipants and
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
5 DIMENSIONS OF THE QUESTIONNAIRE:
It is an ordinal variable:
1 parameter 3 answer hipothesis
each hipothese corresponds either to a good health state or to a bad one or even to an intermediate one
“The EQ-5D includes single item measures of: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression.Each item is coded using 3-levels (1 = no problems; 2 = some problems; 3 = severe problems). The instrument includes a global rating of current health using a visual analog scale (VAS) ranging from 0 (worst imaginable) to 100 (best imaginable).” [7]
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
VISUAL SCALE:
It is a continuous variable
Classification that the responder atributes to their own health state at the moment of the questionnaire
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
IntroductionParticipants and
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
VISUAL SCALE:
It is a continuous variable
Classification that the responder atributes to eight different contexts in terms of health;
Classification attributed to death;
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
Cathegorical variables
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
SOCIO-DEMOGRAPHIC VARIABLES:
They are cathegorical variables
Integrated in the questionnaire to obtain a profile for the anonymous responder, wich could be useful to interprete the answers according to the context in wich they were given or to better understant some possible discrepancies
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
EVALUATION OF THE QUESTIONNAIRE:
They are cathegorical variables
They are important to confere more validity to the answers, by serving as an indicator of the degree of understanding them
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Study ParticipantsStudy DesignData Collection MethodsVariables DescriptionStatistical Analysis
Cathegorical variables
Tables of frequencies
Continuous variables
MedianInterquartile Range
Analysis of the results of visual scales separating it in classes according to the variables “sexo” and “local de entrevista”
Small N
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
FEUPFMUP
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
IntroductionParticipants and
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p was determined using Mann Whitney test
MaleFemale
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FMUP students show less health problems than FEUP students
Possible explanation: pre-requirements necessary to ingress the medical school, which were not asked in FEUP
Possible explanation: those students have not only final exams, but also intermediate tests
FEUP studends found the questionnaire easier than FMUP students
Possible explanation: as FEUP students do not have such a close contact with ill people it may be easier to them to speculate about the different health states, specially if they do not know anyone in such conditions
FEUP students are more depressed and anxious
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FMUP students found limitations in the questionnaire
Possible explanation: the contact and knowlegde about a larger number of health-states makes them more exigent with the classification
FEUP students are mainly male
Possible explanation: the kind of skills acquired in the course
FMUP are more in contact with severe illnesses
Possible explanation: they frequent the medical school, and have contact with the pacients of SJH
FMUP students smoke more
No specific explanation
There were no significant results between sexes, maybe because of the age bracket and similar education.
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“EQ-5D indices are less responsive and require larger patient samples to detect meaningful clinical differences compared to other used instruments” [6]
May happen that some people qualify a certain heatlh state as being worst than they would consider if they had lived an experience like that.Similarly, two different health states could look like being the same when, in the end, they have different results [8]
Several questionnaires weren´t filled completely
Questionnaire can be too long Questionnaire can be complicated
Old peoplePeople without specific formation
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[1] WHO. Constitution of the World Health Organization, Geneva, 1946. Accessed Page 20 of "NATIONAL MENTAL HEALTH POLICY 2001-2005" on March 2001
[2] Günther OH, Roick C, Angermeyer MC, König HH, 2008 Jan 1, Responsiveness of EQ-5D utility indices in alcohol-dependent patients, Drug Alcohol Depend.;92(1-3):291-5
[3] Rabin R, de Charro F, 2001 Jul, EQ-5D: a measure of health status from the EuroQol Group, Ann Med, 33(5):337-43
[4] Coons SJ, Rao S, Keininger DL, Hays RD, 2000 Jan, A comparative review of generic quality-of-life instruments, Pharmacoeconomics, 17(1):13-35
[5] Maetzel A, 2004 Oct, The role of utilities in economic evaluations of healthcare interventions-na introduction, Z Rheumatol, 63(5):380-4
[6] Günther OH, Roick C, Angermeyer MC, König HH, 2008 Jan 1, Responsiveness of EQ-5D utility indices in alcohol-dependent patients, Drug Alcohol Depend.;92(1-3):291-5
[7] Mathews WC, May S: “EuroQol (EQ-5D) measure of quality of life predicts mortality, emergency department utilization, and hospital discharge rates in HIV-infected adults under care”
[8] Williams C Mathews and Sussane May, “Euroquol(Eq-5D) measure of quality of life predicts mortality, emergency department utilizations, and hospital discharge rates in HIV-infected adults under care”, 2007