Test
Santé 2
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Preguntas del test (81)
1The scale used to measure variable has divided to:
- A1 basic type
- B2 basic types
- C3 basic types
- D4 basic types
- E5 basic types
2The scale uses names, numbers or other symbols to assign each measurement to one of a limit number of categories that cannot be ordered one above the other is:
- AIntervalle scale
- BRatio scale
- CQuantitative scale
- DOrdinal scale
- ENominal scale
3Definition of ordinal scale, an ordinal scale assigns:
- ATo uses names, numbers or other symbols to assign each measurement to one of a limit number of categories that cannot be ordered one above the other.
- BEach measurement to one of unlimited number of categories that are equally spaced
- CEach measurement to one of a limited number of categories that are ranked in terms of a graded order
- D.A measurement begins at a true zero point and the scale has equal intervals.
- EEach measurement to one of an unlimited number of categories that are ranked in terms of a graded order.
4The result of evaluation show that Good, Average, Poor Fully agree, agree, doubt, disagree .totally disagree is the type of:
- AOrdinal scale
- BInterval scale
- CRatio scale
- DNominal scale
- EProportional scale.
5The categories of variable show that Male, Female and Blood type: type A, type B, type O, type AB is the type of:
- ARatio scale
- BNominal scale
- CInterval scale
- DOrdinal scale
- EProportional scale
6By definition a variable is:
- AUpper limit number
- BLower limit number
- CSometime to change
- DSubject to change
- EConstant
7Qualitative variables are measured at the:
- ANominal level
- BNumerical level
- CRatio level
- DRate level
- EProportional level
8True biologic variation in clinical measurement is the sum:
- AMany known factors and high of probability
- BEach of which contributes a big random effect
- CMany unknown factors
- DMany known factors
- EHigh of probability
9Definition of mode: The mode is the value that:
- AIs the middle value of a set of data that has been put into rank order.
- BOccurs most often in a set of data
- CIs the value that is closest to all the other values in a distribution
- DIs the half-way point or the midpoint of a set of observations
- EIs the beginning value of a set of data that has been put into rank order.
10Add all of the observed values in the distribution and divide the sum by the number of observations is the formula for calculate the:
- AMode
- BMedian
- CMean
- DMid range
- ERatio
11Definition of median, Median is:
- AThe middle value of a set of data that has been put into rank order
- BOccurs most often in a set of data
- CIs the value that is closest to all the other values in a distribution
- DIs the half-way point or the midpoint of a set of observations
- EIs the beginning value of a set of data that has been put into rank order.
12Definition of mean. Mean is:
- AThe middle value of a set of data that has been put into rank order
- BOccurs most often in a set of data
- CIs the value that is closest to all the other values in a distribution
- DIs the half-way point or the midpoint of a set of observations
- EIs the beginning value of a set of data that has been put into rank order.
13Definition of mid range, mid range is:
- AThe middle value of a set of data that has been put into rank order
- BOccurs most often in a set of data
- CIs the value that is closest to all the other values in a distribution
- DIs the half-way point or the midpoint of a set of observations
- EIs the beginning value of a set of data that has been put into rank order.
14Step 1. Identify the smallest (minimum) observation and the largest (maximum) observation. Step 2. Add the minimum plus the maximum, then divide by two: is the formula for calculate the:
- AMode
- BMedian
- CMean
- DMid range
- ERatio
15Properties and uses of the mode. The mode is / has:
- AThe easiest measure of central location to understand and explain
- B.A good descriptive measure, particularly for data that are skewed, because it is the central point of the distribution.
- CExcellent statistical properties and is commonly used in additional statistical manipulations and analyses.
- DThe difficult measure of central location to understand and explain.
- EA good descriptive measure, particularly for data analysis.
16Properties and uses of the median. The median is / has:
- AThe easiest measure of central location to understand and explain
- BA good descriptive measure, particularly for data that are skewed, because it is the central point of the distribution.
- CExcellent statistical properties and is commonly used in additional statistical manipulations and analyses.
- DThe difficult measure of central location to understand and explain.
- EA good descriptive measure, particularly for data analysis.
17Properties and uses of the mean. The mean is / has:
- Athe easiest measure of central location to understand and explain
- Ba good descriptive measure, particularly for data that are skewed, because it is the central point of the distribution.
- Cexcellent statistical properties and is commonly used in additional statistical manipulations and analyses.
- Dthe difficult measure of central location to understand and explain.
- Ea good descriptive measure, particularly for data analysis.
18Variation in clinical measurement including:
- AInaccuracy
- BImprecision
- CEfficiency
- DReliable
- EBias
19Bias: The true biologic variation in clinical measurement is:
- AThe sum many unknown factors ,
- BEach of which contributes a small random effect.
- CThe sum many unknown factors, each of which contributes a small random effect.
- DRandom effects based on the lows of probability are as likely to be negative.
- EMeasurement to exceed the true value as they are to be positive.
20Bias due to sampling error is:
- A.A faulty measuring instrument.
- B.A faulty measuring methods
- C.A faulty measuring by lecturer.
- DIncomplete information obtained from a sample
- EComplete information obtained from a sample
21Evaluating accuracy: The accuracy of a set of clinical measurements is determined by comparing the true underlying value of the variable with the:
- AMode
- BAverage.
- CMedian
- DMid range
- EMid point
22The normal distribution has extremely:
- AFall approximately 96%
- B3 standards deviations of the mean.
- CUseful characteristics.
- DAbout one -thirds of the values under a normal distribution curve
- EA large number of statistical tests and calculations can’t be used if the observations follow a normal distribution.
23Ratio expresses the relationship between:
- A1 items
- B2 items
- C3 items
- D4 items
- E5 items
24Proportion is the expression:
- AThe bases always equal 1000
- BThe relationship of one part to the whole
- CThe per thousand of the total number of events in a data set which occurred in each of the category (or subgroups) of that set.
- DThe numerator is always not include the denominations
- EProportion is .expressed as per thousand
25The estimated mid interval population is determined by:
- AThe population at the beginning of the time interval.
- BThe population at the end of the time interval.
- CAdding the population at the beginning of the time interval to the population at the end of the time and dividing by 2.
- DThe population at the beginning of the time interval + live birth.
- EThe population at the beginning of the time interval + live birth - number of death cases.
26This Calculation indicate:
- AFertility rate
- BMortality rate
- CIncidence rate
- DPrevalent rate
- ECrude birth rate
27Incidence of disease refers to the number that develop in a population at risk for the disease over a specified period time of:
- AOld cases
- BNew cases.
- CNew + Old cases
- DDeath cases
- ENumber of live birth
28Prevalence of disease refers to the number that develop in a population at risk for the disease over a specified period time of:
- AOld cases
- BNew cases.
- CNew + Old cases
- DDeath cases
- ENumber of live birth
29In epidemiological practice, incidence rate are:
- AThe less commonly used way of measuring the extent or frequency with which infectious disease is experienced by population groups.
- BThe most commonly used way of measuring the extent or frequency with which infectious disease is experienced by population groups.
- CUseful in estimating the need for facilities and personnel.
- DAlso a measure of the burden of a particular disease to the health care system.
- ENot provided information on the effectiveness of disease prevention or control programmes.
30This formula refers to:
- APrevalent rate
- BIncidence rate
- CCrude death rate
- DInfant mortality rate
- EMarternal mortality rate
31Point prevalent of the disease refers to:
- AOld cases
- BNew cases
- CA given time interval
- D.A specific point in time
- ENumber of Child birth.
32Period prevalent .Refers to:
- AOld cases
- BNew cases
- CA given time interval
- DA specific point in time
- ENumber of Child birth.
33An attack rate is:
- AIncidence rate in the full year.
- BPrevalent rate in the full year.
- CPoint prevalent rate
- DMortality rate
- EIncidence rate, expressed as a percentage and applied to narrowed defined population observed for limited period of time , as an epidemic
34An attack rate is:
34) In an epidemic ( or outbreak ) of food poisoning, there were 10 cases of male and 40 cases of female among 120 female and 80 male exposed. Overall attack rate is:- A(10 X 100) /80
- B(40 X100) /120
- C(50 X100) / 200
- D(10 X 100) /200
- E(40 X100) /200
35In an epidemic ( or outbreak ) of food poisoning, there were 10 cases of male and 40 cases of female among 120 female and 80 male exposed. Female attack rate is:
- A(10 X 100) /80
- B(40 X100) /120
- C(50 X100) / 200
- D(10 X 100) /200
- E(40 X100) /200
36In an epidemic ( or outbreak ) of food poisoning, there were 10 cases of male and 40 cases of female among 120 female and 80 male exposed. Male attack rate is:
- A(10 X 100) /80
- B(40 X100) /120
- C(50 X100) / 200
- D(10 X 100) /200
- E(40 X100) /200
37The prevalence of a disease depends on:
- AIncidence rate and its duration
- BNatality rate
- CMortality rate
- DEffectiveness of treatment
- EPrevention of the diseases
38A decrease in prevalence may be due to:
- AA high incidence
- BDecrease in virulence not leading to more rapid death.
- CFail treatment of an illness
- DA short duration of disease
- ENot effective prevention program
39A high prevalence may be due to:
- AAn effective prevention program
- BHigh incidence, a protracted duration or both.
- CEnhanced resistance to the disease
- DA decrease in incidence
- EA short duration of disease due to either improved treatment methods
40A high prevalence may indicate a:
- AChronic condition
- BHigh risk
- CAcute condition
- DNo risk
- EChronic condition rather than a high risk.
41Prevalence is useful in:
- AProvides information on the effectiveness of disease prevention
- BProvides information on the effectiveness of disease control program
- CNot useful to measure of the burden of a particular disease to the health care system.
- DThe need for facilities and personnel.
- EIn studying the association between a disease and suspected risk factors.
42This formula for calculated:
- ACrude death rate (CDR)
- BAge- and Sex specific death rate
- CPerinatal mortality rate
- DNeonatal mortality rate
- EPost- neonatal mortality rate
43This formula for calculated:
- APerinatal mortality rate
- BNeonatal mortality rate
- CPost- neonatal mortality rate
- DInfant mortality rate
- EMaternal mortality rate (MMR)
44Definition of midrange. The midrange is the:
- ABeginning of observations
- BEnd of observations
- CHalf-way point or the midpoint of a set of observations.
- DMiddle value of a set of data that has been put into rank order.
- EValue that occurs most often in a set of data
45All of them are the true answers only one is the false answer. Find the false answer: Crude death rate (CDR) is used:
- ATo measure the average risk of death in the population at large.
- BCan only be used to compare relative mortality in 2 populations if they have similar Age/ Sex composition .
- CIs often used for comparing relative mortality in a given area between 2 period that are not too far apart.
- DMeasure the rate at which deaths are taking place from all causes in a given population during a specified period.
- ETo measure risk of death among person in a specific age and sex group.
46Age- and sex specific death rate is used to measure the:
- AAverage risk of death in the population at large.
- BRisk of death among person in a specific age and sex group.
- CRisk of fetal death occurring after 28 completed weeks of gestation.
- DRisk of dying within 28 days of birth.
- ERisk of dying during infancy after the first-4 weeks of life.
47Stillbirth rate (Late fetal death rate) is used to measure the:
- AAverage risk of death in the population at large.
- BRisk of death among person in a specific age and sex group.
- CRisk of fetal death occurring after 28 completed weeks of gestation.
- DRisk of dying within 28 days of birth.
- ERisk of dying during infancy after the first-4 weeks of life.(Post Neo)
48Neonatal mortality rate is used to measure the:
- AAverage risk of death in the population at large.
- BRisk of death among person in a specific age and sex group.
- CRisk of fetal death occurring after 28 completed weeks of gestation.
- DRisk of dying within 28 days of birth.
- ERisk of dying during infancy after the first-4 weeks of life.
49Post- Neonatal mortality rate is used to measure the:
- AAverage risk of death in the population at large.
- BRisk of death among person in a specific age and sex group.
- CRisk of fetal death occurring after 28 completed weeks of gestation.
- DRisk of dying within 28 days of birth.
- ERisk of dying during infancy after the first-4 weeks of life.
50Infant mortality rate is used to measure the:
- ARisk of death among person in a specific age and sex group.
- BRisk of fetal death occurring after 28 completed weeks of gestation.
- CRisk of dying within 28 days of birth.
- DRisk of dying during infancy after the first-4 weeks of life.
- ERisk of dying during infancy (e.g. the first year of life).
51To measure the average risk of death in the population at large, by calculation of:
- ACrude death rate (CDR)
- BAge- and sex specific death rate
- CPerinatal mortality rate
- DNeonatal mortality rate
- EStillbirth rate (Late fetal death rate)
52To measure risk of death among person in a specific age and sex group. by calculation of
- ACrude death rate (CDR)
- BAge- and sex specific death rate.
- CStillbirth rate (Late fetal death rate)
- DPerinatal mortality rate
- ENeonatal mortality rate
53To measure the risk of fetal death occurring after 28 completed weeks of gestation: by calculation of:
- ACrude death rate (CDR)
- BAge- and sex specific death rate.
- CStillbirth rate (Late fetal death rate).
- DPerinatal mortality rate
- ENeonatal mortality rate
54To measure the risk of death occurring either during pregnancy after completed 28 weeks of gestation or within 1 week after delivery, by calculation of:
- ACrude death rate (CDR)
- BAge- and sex specific death rate.
- CStillbirth rate (Late fetal death rate).
- DPerinatal mortality rate.
- ENeonatal mortality rate
55To measure the risk of dying within 28 days of birth, by calculation of:
- ACrude death rate (CDR)
- BAge- and sex specific death rate.
- CStillbirth rate (Late fetal death rate).
- DPerinatal mortality rate.
- ENeonatal mortality rate.
56To measure the risk of dying during infancy after the first-4 weeks of life, by calculation of:
- APost- neonatal mortality rate.
- BInfant mortality rate
- CMaternal mortality rate (MMR)
- DCauses- specific death rate (CSDR)
- ECase fatality rate (CFR)
57To measure the risk of dying during infancy (e.g. the first year of life), by calculation of:
- APost- neonatal mortality rate.
- BInfant mortality rate.
- CMaternal mortality rate (MMR)
- DCauses- specific death rate (CSDR)
- ECase fatality rate (CFR)
58To measure the risk of women dying from maternal causes, by calculation of:
- APost- neonatal mortality rate.
- BInfant mortality rate.
- CMaternal mortality rate (MMR)
- DCauses- specific death rate (CSDR)
- ECase fatality rate (CFR)
59To measure how fatal a disease / condition is. It predicts the risk of dying if the disease is contracted, by calculation of:
- APost- neonatal mortality rate.
- BInfant mortality rate.
- CMaternal mortality rate (MMR)
- DCauses- specific death rate (CSDR)
- ECase fatality rate (CFR)
60The mean population in Rattanakiri province is 30000 populations (P) in year 2005.All cases of mortality is 200 cases. # Live births under 1 year = 1500 live births. Infant death under 1 year has 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Crude death rate is:
- A200 cases/30000 populations X1000
- B90 cases/1500 live births X1000
- C45 cases/ 200 Live births X1000
- D50 deaths/1500 live births X1000
- E1500 live births X1000/ 30000
61The mean population in Rattanakiri province is 30000 populations (P) in year 2005.All cases of mortality is 200 cases. # Live births = 1500 live births. Infant death under 1 year have 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Infant mortality rate is:
- A200 cases/30000 populations X1000
- B90 cases/1500 live births X1000
- C45 cases/ 200 Live births X1000
- D50 deaths/1500 live births X1000
- E1500 live births X1000/ 3000062
62The mean population in Rattanakiri province is 30000 populations (P) in year 2005. All cases of mortality are 200 cases. # Live births = 1500 live births. Infant death under 1 year has 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Neonatal mortality rate is:
- A200 cases/30000 populations X1000
- B90 cases/1500 live births X1000
- C45 cases/ 200 Live births X1000
- D50 deaths/1500 live births X1000
- E1500 live births X1000/ 3000062
63The mean population in Rattanakiri province is 30000 populations (P) in year 2005.All cases of mortality is 200 cases. # Live births = 1500 live births. Infant death under 1 year have 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Maternal mortality rate is:
- A200 cases/30000 populations X1000
- B90 cases/1500 live births X1000
- C45 cases/ 200 Live births X1000
- D50 deaths/1500 live births X1000
- E1500 live births X1000/ 3000062
64All of them are the true answers only one is the false answer. Find the false answer: Defining disease occurrences: the method used to define cases affects the accuracy of frequency measures is:
- AIdentifying cases by reviewing health records
- BIdentifying cases by clinical evaluation
- CIdentifying cases from personal interviews
- DIdentifying cases by reviewing health records from public and private sector.
- ECounting recurrences
65There is the distance in kilometer from the house of patients to Health center: 4, 7, 3, 5, 3 and 8. If we confuse 8 to 80, what is the happened show that?
- AIncreasing the median
- BIncreasing the mode.
- CIncreasing mean.
- DIncreasing median and mean
- EIncreasing median mode and mean
66The population beginning of the year 2000 in Rattanakiri province has 60000 populations (P) and the end of the same year and same place have 70000 populations.All cases of mortality are 200 cases. # Live births = 12000 live births. The mean population in Rattanakiri in year 2000 has:
- A60000P
- B70000P
- C(60000P+70000P)/2
- D60000P-200 deaths
- E60000P +12000 Live births
67The numerator of calculation Crude death rate (CDR) is:
- ATotal # deaths due to all causes in a defined area during a defined period.
- BTotal # deaths occurring in a specific age and sex group of the population of a defined area during a defined period.
- C# Perinatal deaths occurring in a specified area and period of time
- D# deaths of infant < 28 days of age in an area during a given period
- E# deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.
68The numerator of calculation age- and sex specific death rate is:
- ATotal # deaths due to all causes in a defined area during a defined period.
- BTotal # deaths occurring in a specific age and sex group of the population of a defined area during a defined period.
- C# Perinatal deaths occurring in a specified area and period of time
- D# deaths of infant < 28 days of age in an area during a given period
- E# deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.
69The numerator of calculation perinatal mortality rate is:
- ATotal # deaths due to all causes in a defined area during a defined period.
- BTotal # deaths occurring in a specific age and sex group of the population of a defined area during a defined period.
- C# perinatal deaths occurring in a specified area and period of time.
- D# deaths of infant < 28 days of age in an area during a given period
- E# deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.
70The numerator of calculation neonatal mortality rate is:
- ATotal # deaths due to all causes in a defined area during a defined period.
- BTotal # deaths occurring in a specific age and sex group of the population of a defined area during a defined period.
- C# perinatal deaths occurring in a specified area and period of time.
- D# deaths of infant < 28 days of age in an area during a given period.
- E# deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.
71The numerator of calculation post- neonatal mortality rate is:
- ATotal # deaths due to all causes in a defined area during a defined period.
- BTotal # deaths occurring in a specific age and sex group of the population of a defined area during a defined period.
- C# Perinatal deaths occurring in a specified area and period of time.
- D# deaths of infant < 28 days of age in an area during a given period.
- E# deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.
72The numerator of calculation infant mortality rate is:
- A# deaths of infant < 1 year of age occurring in a specified area and period.
- BTotal # Female deaths due to complication of pregnancy childbirth and the puerperium in an area during a given time
- C# deaths assigned to a specified cause during a given time interval.
Total - D# of deaths due to a given disease / condition occurring in an area during a given period
- E# deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.
73The numerator of calculation maternal mortality rate (MMR) is:
- A# deaths of infant < 1 year of age occurring in a specified area and period.
- BTotal # Female deaths due to complication of pregnancy childbirth and the puerperium in an area during a given time.
- C# deaths assigned to a specified cause during a given time interval.
- DTotal # of deaths due to a given disease / condition occurring in an area during a given period
- E# deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.
74The numerator of calculation case fatality rate (CFR) is:
- A# deaths of infant < 1 year of age occurring in a specified area and period.
- BTotal # Female deaths due to complication of pregnancy childbirth and the puerperium in an area during a given time.
- C# deaths assigned to a specified cause during a given time interval.
- DTotal # of deaths due to a given disease / condition occurring in an area during a given period.
- E# deaths among infants aged 4 weeks- 1 year occurring in an area during a given period.
75The use of a diagnostic test with a high false positive rate (poor specificity) will:
- AOverestimate incidence
- BOverestimate prevalence
- COverestimate incidence and prevalence.
- DUnderestimate incidence and prevalence.
- EUnderestimate only prevalence.
76The inclusion of only "classic" cases of the disease, as defined by strict diagnostic criteria, will:
- AOverestimate incidence
- BOverestimate prevalence
- COverestimate incidence and prevalence.
- DUnderestimate incidence and prevalence.
- EUnderestimate only prevalence.
77The inclusion of "probable" case, according to more lenient diagnostic criteria, may:
- AOverestimate incidence disease.
- BOverestimate disease frequency.
- CUnderestimate disease frequency
- DUnderestimate prevalence disease
- EUnderestimate only prevalence disease.
78Identifying cases from personal interviews. Information on disease occurrence obtained by personal interview or from questionnaires may be altered by:
- AAnalysis
- BComputed.
- CRecord.
- DEvaluation
- EBiased recall.
79The time of onset is clearly defined in some diseases, for example:
- ADepression
- BCancer
- CAppendicitis.
- DAlcoholism
- EHeart disease.
80Prevalence is useful:
- AInformation about the risk
- BIn estimating the need for facilities and personnel.
- CProvides information on the effectiveness of disease prevention
- DProvides information on the effectiveness of control programs.
- EAn estimate of disease incidence.
81Exclusion of risk-free individuals. The calculation of the prevalence or incidence of a disease should exclude from the denominator members of the population who are:
- ASusceptible to the disease.
- BNot susceptible to the disease.
- CWho haven’t been immunized
- DEndometrial carcinoma that have not undergone hysterectomy
- EMeasles or chicken pox that has previously not had the disease.
Información
- Descripción
- Test sobre Santé 2, creado por Heng dalen el 14/08/2018.
- Autor
- Heng dalen
- Idioma
- English
- Visitas
- 0
- Valoración
- Aún sin valoraciones Valora este test