A Review of Epidemiology and Causation Concepts

Running head: A Review of Epidemiology and Causation Concepts

The concept of causation in epidemiology has been a difficult enterprise to students and researchers seeking to master it both in terms of evidence, and its causal relationships to diseases, or their legitimate causes, taking in consideration epidemiology as a scientific field (Parascandola &Weed, 2001; Olsen, 2003;Karhausen, 2000; Dumas et al.,2013).

The idea that epidemiology is at the heart of observational, descriptive and scientific studies seems to add an important argument to the core issue that causation is a practical tool capable of enhancing the analysis of deterministic and probabilistic values or considerations (Dumas et al.,2013; Parascandola &Weed, 2001). However, the scope of definition of causation is very wide. The goal of this paper is to use the background review of several peer reviewed articles on the definitions of causation, then compare the strengths and weaknesses of each definitions.The student/researcher will attempt to offer a limited criticism of the causation concept based on the literature, and an exploratory research article on gynecological health applying ethnographic methods to public health inquiry. Such article seems to present the limits of causation in epidemiology.

Parascandola and Weed (2001) offer five categories of causations resulting from an

intensive analysis of the literature. The authors posit the followings:

production

,

necessary and sufficient

,

sufficient-component

,

counterfactual

, and

probabilistic causations

. Various theories of causation of disease consist the backbone for further analysis (Karhausen, 2000; Parascandola &Weed, 2001):

1)

Supernatural theory

. Posits that disease is of supernatural origin, or is due to a curse from God.

2)

Contagion theory

(miasma). According to this theory, diseases are transmitted by a miasma or cloud that clung low on the earth surface.

3)

Germ theory

(Koch, 1880; Pasteur, 1866). Koch postulates that an understanding of

the causes of disease is important in the health field not only for prevention but also in

diagnosis, and the application of treatment. According to the science enhanced scope and sequence biology course and the Virginia Department of Education 2012, the core of the postulates contends that:

a) a specific organism ought to always be observed in association with the disease.

b) the organism is to be isolated from a host causing infection and grown in pure culture

in a laboratory.

c) upon inoculation of the organism from a pure culture into a susceptible host

organism, it must cause the disease.

d) the infectious organism will be subjected to re-isolation from the diseased causing

organism and grown in pure culture.

4)

Epidemiological triad theory

. This theory deals with:

age

nt which consists of biological, chemical, physical, nutritional, and social,

host factor

such as age, sex, heredity, nutrition, occupation, custom, habits, immunity power, biological-blood sugar, cholesterol, housing, marital status, and socio-economic status. The

environmental factor

considers the physical, biological, and psychosocial environments.

5)

BEINGS model

. This model considers that biological, environmental factors, immunological factors, nutritional factors, genetic factors, and social, spiritual, and service factors are vital ingredients in preventing disease occurrence.

6)

Web of causation

. It provides a lens of multiple factorial causation of disease; mostly non-communicable disease. An example is factors causing ischemic heart disease such as

hypercholesterolemia, hypertension, obesity, tobacco use, physical inactivity, genetic predisposition, age, sex, and diabetes (Le, Bhushan, and Sochat, 2015).

7)

The theory of necessary and sufficient cause

advances that the cause of a particular disease is a constellation of various factors; and all of them come into play in an optimum combination.

Definitions

An understanding of the causes of disease is important in the health field not only for prevention but also in diagnosis and the application of treatment, the researcher/writer asserts. As maintained by numerous researchers, the cause of a disease is an event, condition, characteristic, or combination of these factors which plays an important role in producing the disease (Gordis, 2000; MacMahon & Pugh, 1970).

Production

According to Parascandola and Weed (2001, p.906),

production

results from causes or conditions that play integral parts in disease occurrences.

Necessary and sufficient

cause

A

necessary- and sufficient cause

is a sine qua non condition for an effect to occur. Parascandola and Weed (2001, p.906) retained that “four different types of causal relations can be derived from these two definitions: necessary and sufficient, necessary but not sufficient, sufficient but not necessary, and neither necessary nor sufficient”.

Sufficient-component causes

A sufficient-component cause guarantees the occurrence of an effect. Thus, when the cause is not absent, the effect must be evident. All, not a single components play a key role in determining the validity of causation. Component causes foster togetherness in order to produce effect (Olsen, 2003). Others such as Dumas et al. (2013) advance that component cause models are tied with multicausal phenomenon generated due to chronic multifactorial diseases.

Probabilistic cause

The key factor is that an increase in probabilistic cause leads to the probability of the occurrence of an effect.

Counterfactual causes

The counterfactual approach describes causality by comparing observed events and the counterfactual events or the event that would have been observed. In both, the

probabilistic cause

and

counterfactual causes models

, statistical analysis are paramount in order to test the limits of traditional scientific inquiries, and causality of questions, the writer/researcher contends.

Strengths and Weaknesses

The literature surveyed on causation (Parascandola and Weed, 2001; Karhausen, 2000; Maclure and Schneeweiss, 2001) offers a very interesting lens of inquiry and tests the limits of causation. One key difference retained by the writer/researcher is that the definitions proposed by Parascandola and Weed (2001) lie in the deterministic and probabilistic continuum in assessing the concept as a scientific tool for epidemiology as a science. Whether the debate has been on the ontological or epistemological nature of the issues raised: causation and effect, one argument seems to the difficult nature of a sufficient-component cause definition, and the probabilistic causation offer different models of analysis, the writer /researcher posits. For instance, is it possible to have a sufficient model full of its effects? A probabilistic model showing statistical causation as a viable scientific tool, and an inclusive approach has been provided as a good option, while the

necessary and sufficient

definition, deterministic in nature, lacks a measurement effect (Parascandola and Weed, 2001; Karhausen, 2000; Maclure and Schneeweiss, 2001), Nonetheless, the weakness in the probabilistic model, based on the literature surveyed has not been fully assessed or presented.

In terms of offering a critical platform for understanding, Maclure and Schneeweiss (2001), through their episcope propose a very clever and critical lens of analysis of causation by looking at the causation of bias in epidemiology. In a nutshell, the model presents causal diagrams and graphs to apply observational data or phenomena through a network of information systems to analyze morbidity within a population. Through an episcope, evidence that is observed through the “lenses” and “filters” are classified as directions of causation, random confounding, correlated causes, diagnosis, encoding of exposure, data, grouping through the generalization of hypotheses, inference and publication bias(journal article) in order to tract a risk difference(RD) in the “domain of agency” and the “ domain of knowledge”(p.115).

It is important to note that the causal effects in analyzing the ways of causation have bias that appear to be inherent in the model when looking at factors such as agent leading to morbidity and background causes in a population under study, the writer/researcher adds. Whether one needs to look at the many cofounders laid out by this model or determinants of diagnosis, evidence of exposure, grouping criteria, it seems implausible to quantitatively theorize about the many associations presented through the diagrams and graphs; and there is a missing link for descriptive epidemiology, the writer/ researcher argues.

The case of the sociocultural context of gynecological health among Haitian immigrant women in Florida: applying ethnographic methods to public health inquiry.

The above definitions of causation ,and the role of epidemiology as a scientific domain linking to quantitative measures offers a limited view on determinants of diseases. The impact on disease prevention is to be fully addressed and assessed through various research methods: qualitative and mixed-methods designs, the writer/researcher claims. A case of reference is the exploratory research on a feminine practice among a culturally important group: “

Twalèt déba”

(Feminine hygiene relating to vagina cleanliness), which may have important significance for transmission of disease, namely human papillomavirus [HPV] (Menard et al., 2010), the main cause of cervical cancer (Le, Bhushan, and Sochat, 2015).

Foster (1976) elucidates two key domains in his classic system of etiologic classification in terms of understanding women’s beliefs about disease causation. They are: personal causes of illness: personalistic and naturalistic. This exploratory research consisted in observation, participant observation, and semi-structured in-depth-interviews of 35 Haitian immigrant women participants about a feminine hygiene practice in Little Haiti, Miami, Florida termed

Twalet déba

(Feminine hygiene relating to vagina cleanliness).The feminine hygiene of these Haitian women in Little Haiti, Miami, Florida, is culturally construed, and the basis for sexual health and virility has not been fully researched. The cause/causative agents based on the etiologic beliefs about cervical cancer, and the commonly named feminine hygiene agents for this population have been depicted in the tables 1and 2 below where causative agents of cervical cancer, and commonly

named feminine hygiene products are summarized.

Conclusion

The knowledge of causation is an integral part of epidemiology as it enables the researcher to make the proper diagnosis, formulate the correct treatment plan and take necessary measures in the prevention of a certain disease. But such knowledge can be limited due to the type of causal relationships one seeks to analyze, research designs pursued and implemented. The various definitions and the role of the episcope offering a constructive approach are good, debatable and difficult aggregates in the web of epidemiological research as a viable scientific field.

This final paper is about synthesizing three interesting research articles dealing with important health issues whose tentacles are deeply rooted in ethnicity and health practices. The researcher/writer saw in the process of reviewing them, an avenue for the concept of ethnic health. The ramifications are beyond the scope of the required assignment. The proposed synthesis starts with the manner in which the four concepts of internal validity, external validity, conclusion validity and construct validity validity are assessed.

The requirements for sound analysis in the considered researches are serious benchmarks that the researcher/writer hopes to follow throughout his graduate experience. It is a noble endeavor to dwell in the research inquiry web, then expect to find a way out through perfection on the dissertation continuum. There are important considerations found in the researched articles surveyed during this semester that will stick to the mind.

Three articles, by Rahill & Rice (2010), Malow et al. (2013), and Huffman et al. (2013) consist the bulk of the intended analysis. The researcher started an inquiry at the onset of this semester about health beliefs and cultural factors affecting the promotion of prevention of diseases, and was unfortunate to briefly find the same concepts were indirectly considered in two of the research articles. The followings serve as a platform for analysis and further inquiries into reliability.

1-

Correlates of picuriste use in a sample of health-seeking Haitian immigrants and adult children of immigrants in Miami-Dade County, Florida

.

Rahill & Rice (2010).

Rahill and Rice’s ( 2010) article, “ Correlates of

picuriste

use in a sample of health-seeking Haitian immigrants and adult children of immigrants in Miami- Dade county, Florida”, presents a considerable look at a health practice from Haitians in Miami-Dade County, Florida, whose origin is deeply rooted in old health practices in Haiti, namely

picuriste

injections. A

picuriste

is a traditional health worker/person with no formal medical training providing intramuscular, subcutaneous, and intravenous injections. The impact of such practices on transmission of diseases such as hepatitis B, hepatitis C, tuberculosis, and malaria, has not been fully studied, except by few researchers such as (Rahill, 2007; Pape, 1986; Clerisme, 2005).

The goal of this mixed-methods research was to explore covariates of the use of

picuristes

(traditional health workers with no formal medical training providing intramuscular, subcutaneous, and intravenous injections) in the Haitian community of Miami-Dade County, Florida. Rahill and Rice (2010) contend that although the

picuriste

practices have been researched in other parts of the world: Salvador, Uganda and Pakistan (Flaskerud & Nyamathi, 1996), the experience of Haitians in Miami-Dade, Florida ought to be understood in terms of cultural contexts, and the comprehension of the correlates attached to the practices can help prevent infections. Using the sample size and a survey element for the qualitative aspect of the research, the authors were able to bridge quantitative measures and analysis to present the followings after logistic measures were calculated and statistical interpretations made through:

1) The variables: gender, age, education, length of time in the U.S., recommendations by acquaintances, or friend,

picuriste

injections use is deep in a belief that benefits outweigh problems.

2) The following research questions were created by the researcher/writer:

RQ1

: Is there a relationship between

picuriste

users and non-users? The proposed hypothesis was:

H

0

: There is a relationship between

picuriste

users and non-users. The results of bivariate analyses showed that a significant difference between

picuriste

users (clients) and non-users (non clients) for education (

X

² =11.7;

DF

=2 and

p

< 0.01).

H

1

:

Participants with a post-secondary diploma patronized a

picuriste

. The proposed research question by the researcher/writer was:

RQ2.

Can education play a role in choosing the service of a picuriste? Only 7% of the population responded affirmatively.

RQ3:

Is there a relationship between length of time in the U.S. and picuriste use? The proposed hypothesis by the authors was:

H

3

:

The length of time participants were in the United States was inversely associated with a positive decision to use

picuriste

services. The chi-square was (X² =6.9; DF=2 and

p

= 0.03. The manner in which validity was analyzed is depicted below:

Internal validity

: Bivariate analyses although show significant difference between

picuriste

users and non-users for education. However, it was not met because no significant differences between

picuristes

and non

picuristes

for any demographic variables.

External validity

: No generalization was possible due to the limited sample size and other culturally specific health beliefs for this population. A factor analysis could have been used.

Conclusion validity:

Correlates in the data: patronizing the practice of

picuriste

injections, health beliefs, efficacy of injections, and differentiation between

picuriste u

sers and non-users did not clearly establish a causal relationship between the demographics: age, education, gender, residence in the US considered in the multiple logistic regressions used.

Construct validity

: The inferences generated are in conformity with the variables in the mixed-methods study where survey data used in the qualitative part, yielded fair statistical analyses.

2-

Effect of medical advice for diet on diabetes self-management and glycemic control for Haitian and African Americans with type 2 diabetes.

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