1.0 OVERVIEW
A community
intervention study targets the whole community and not individuals. It has 3 advantages over individual intervention. It is
easier to change the community social environment than to change individual behavior. High-risk lifestyles and behaviors are
influenced more by community norms than by individual preferences. Interventions are tested in the actual natural conditions
of the community, and cheaper. The Salk vaccine trial carried out in 1954 had 200,000
subjects in the experimental group and a similar number in the control group. The aspirin-myocardial infarction study was
a therapeutic intervention that randomized 4524 men to two groups. The intervention group received 1.0 gram of aspirin daily
whereas the reference group received a placebo. The Women’s Health Study involved randomization of 40,000 healthy women
into two groups to study prevention of cancer and cardiovascular disease. One group received vitamin E and low dose aspirin.
The other group received a placebo. The alpha tocopherol and beta carotene cancer prevention trial randomized 19,233 mid-age
men who were cigarette smokers.
2.0 DESIGN
OF A COMMMUNITY INTERVENTION STUDY
There are basically
4 different study designs. In a single community design, disease incidence is measured before and after intervention. In a
2-community design, one community receives an intervention whereas another one serves as the control. In a one-to-many, the
intervention community has several control community. In a many-to-many design there are study with multiple intervention
communities and multiple control communities. Allocation of a community to either the intervention or the control group is
by randomization. Matching and stratification can also be used in more sophisticated designs. The intervention and the assessment
of the outcome may involve the whole community or a sample of the community. Outcome measures may be individual level measures
or community level measures.
3.0 COMMUNITY
TRIALS: STRENGTHS AND WEAKNESSES
The strength of
the community intervention study is that it can evaluate a public health intervention in natural field circumstances. It however
suffers from 2 main weaknesses: selection bias and controls getting the intervention. Selection bias is likely to occur when
allocation is by community. People in the control community may receive the intervention under study on their own because
tight control as occurs in laboratory experimental or animal studies is not possible with humans.
4.0 PROCEDURE
OF THE COMMUNITY TRIAL
Rare phenomena and short follow-up periods require larger sample sizes. The intensity, frequency, and duration of the
intervention must be adequate. Very short follow-up leads to insufficient data and too long follow-up has high attrition.
All procedures must be identical for both areas. Quantitative criteria are best for end-point assessment. Interviews
using questionnaires, physical and biochemical parameters, morbidity, and mortality may be used as end-points. Use of morbidity
and mortality as end-points is not the best option because of existence of many competing causes of mortality and morbidity.
Examination for and recording of the end-point must be blind. The assessment of the end-point may be based on longitudinal
change or by repeated cross-sectional surveys. The net change is computed as {(I1 - I0) / I0 }
– {(R1 - R0)/ R0} or as (I1/
I0} / {R1 / R0} - 1
5.0 DATA INTERPRETATION
Interpretation of the results may be complicated
by secular trends; it is therefore recommended that the study duration be as short as is reasonable. Negative findings could be due to an inadequate intervention effort either not intense enough
or not long enough. Negative findings will be found when intervention was against a non-causal factor, the intervention was
against a wrong target group, or the sample size was not adequate. End-point assessment may be biased by more diagnostic effort
in the intervention group. Clustering must be taken into account in analysis of community intervention data. Community level
measures such as means and proportions may be heavily confounded and therefore not reliable.