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Quasi-Randomly Selected Population, Tests it Under Laboratory

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¶ … quasi-randomly selected population, tests it under laboratory conditions using a reliable instrument to do so, and uses statistical data to assess results. There is little reliable and consistent data existent on women's prodromal symptoms before acute myocardial infarction (AMI) rendering diagnosis of coronary heart disease (CHD)...

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¶ … quasi-randomly selected population, tests it under laboratory conditions using a reliable instrument to do so, and uses statistical data to assess results. There is little reliable and consistent data existent on women's prodromal symptoms before acute myocardial infarction (AMI) rendering diagnosis of coronary heart disease (CHD) in women a challenging task. The problem statement in this study is relevant to nursing in that accurate description of women's prodromal and acute symptoms of CHD is crucial in providing a clear presentation of the situation.

Researchers, accordingly, set out to determine the most frequent prodromal symptoms of AMI as well as to identify how these symptoms related to CHD risk factors and to determine whether prodromal symptoms were predictive of AMI condition. The main variables in this study are independent variable -- prodromal symptoms, Dependent variable - acute myocardial infarction (AMI). Control factors were risk factors that may have been involved in prodromal symptoms.

The study design used here is a longitudinal survey prospective cohort design where a certain cohort was surveyed to assess the problem in its present aspect. This was also a correlations study in the sense that prodromal symptoms were investigated to assess correlation and extent of correlation with AMI. The design is adequately described in the article in order to permit replication of the study; where necessary, researchers refer readers to related studies.

This is the best design for the study in that a certain cohort is required to meet the requirements of the study and a reliable instrument used to accurately assess prodromal and acute symptoms of AMI. The population sample was a convenience one -- 515 women diagnosed with AMI - acquired from 5 different sites in Arkansas. Women were 93% white, high school educated (54%) and mean age 66 years old with 489 individuals reporting prodromal symptoms.

Inclusion symptoms were women diagnosed with AMI and that the respondent be cognitively able to participate, speak English, and have telephone access. Exclusion criteria were deficiency of these requirements. Accurate survey results demanded understanding of the questions and ability to communicate hence skewed outcome may have been achieved by lack of these criteria. The intervention: trained nurse assistants (RA) telephone targeted women 4 to 6 months after they had been diagnosed with AMI.

This specific time duration was chosen in rode to give participants time to identify their prodromal symptoms and determine whether symptoms changed or disappeared after AMI had been diagnosed. Assistant nurses explained the study, gained consent and applied the Blessed cognitive test to assess intact cognitive intelligence. RAs conducted a 60-minute telephone survey, querying respondents about symptoms during their AMI and questioning whether changes were noticed in any of these symptoms and whether the women believed these symptoms to be related to their AMI.

Women were asked to select symptoms from a list as well as to select appropriate descriptors for their symptoms. The study occurred over 3 years. Multiple regressions was used to assess correlation The survey used in this study was the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey. It was reliable and valid in that it had been used before its symptoms had been remarked in previous studies. The results indicated that most women have prodromal symptoms before AMI and those women with more prodromal symptoms experienced more acute symptoms.

It still remains unknown, however,.

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