Sentence examples for data collection reliance from inspiring English sources

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Disadvantages include the cross-sectional nature of data collection, reliance on parental reports of asthma diagnoses and symptoms, lack of information on some potential confounders, and lack of residential and school histories.

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The human association component of our study is not free from limitations, which include retrospective data collection and reliance on self-report.

We have made provision to control for the confounding effects of an array of variables related to patients, professionals and care environments by means of detailed data collection and reliance on appropriate statistical methods.

Davood Moradian, formerly an adviser to Hamid Karzai, the president, complains about NATO's intelligence-gathering, saying it has been reduced to "data collection, bureaucratic reporting and heavy reliance on technology".

Although research staff administered and distributed the questionnaires, the nature of data collection meant there was a reliance on ward managers/sisters to encourage their staff to complete the survey.

Second, variation in data collection across different hospitals [ 26], reliance on maternal recall [ 43] and differential reporting by race/ethnicity or English language proficiency may compromise the reliability of birth certificate data [ 27].

Although our study was limited by its reliance on retrospective data collection, it illustrates the need for further investigations in LTCFs regarding risk factors and appropriate interventions to minimize further transmission of MRSA.

Finally, the bleeding events were not independently adjudicated, with reliance on the NCDR data collection infrastructure, and we were not able to adjudicate ischemic complications that may have been affected by changes in antithrombotic treatment.

Our study had limitations because of the retrospective nature, reliance on clinical notes for data collection, the small patient numbers, and the severity of some cases.

An inherent challenge from reliance on a non-logistical data collection system to guide logistical implementation is that, as the logistical system matured, the program often lacked microlevel data common to logistical planners that are used to identify logistical bottlenecks.

There are additional factors: highly diverse data requirements and standards, disagreement on information priorities, poorly measurable management objectives, lack of coordination, over-reliance on researchers and businesses for data collection, lack of business engagement, and short-term, project-based activities.

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