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At least 847 records · Page 47Linked to original sources
PubMed1999

Data-collection strategies.

The optimal strategy for collecting X-ray diffraction data from macromolecular crystals is discussed. Two kinds of factors influencing the completeness of data are considered. The first are geometric, arising from the symmetry of the reciprocal lattice and from the experimental setup; they affect quantitatively the completeness of the measured set of reflections. The second concern the quality, or information content, of the recorded intensities of these measured reflections.

Crystallography, X-Ray↗
PubMed1983

Multi-matrix sampling: a valuable data collection method for health educators.

Survey research in health education, as in other disciplines, attempts to provide estimates of population parameters from which inferences important to program delivery can be made. This article examines the utility of multi-matrix sampling as a technique in health education research that permits quality collection of large quantities of data without lengthy questionnaires or excessive time demands on respondents. The advantages and limitations of multi-matrix sampling are delineated through a hypothetical example.

Adolescent↗
PubMed1978

An accurate data collection method for spatial motion using a sonic digitizer.

An accurate collecting method for spatial displacement data utilizing a sonic digitizer which works electronically and acoustically is described. The sequence of the operation of the digitizer system is explained. As an application, the study of elbow flexion-extension is presented. Finally, operational precautions for using this system are discussed.

Biomechanical Phenomena↗
PubMed2001

IVR Test & Survey: a computer program to collect data via computerized telephonic applications.

Several studies have demonstrated the advantages of using interactive voice response (IVR) technology to collect self-report data from research participants and recipients of psychological/medical services. IVR allows participants to phone a computer and respond to recorded questions by pressing the appropriate touch-tone keys on their telephone. Because this technology offers substantial benefits in terms of cost and efficiency, it is surprising that it has not been more widely utilized by researchers and practitioners. Along with the automation of the administration and scoring of tests or surveys, IVR provides for questioning to be adapted to the participants' responses. One possible explanation for the failure to exploit this technology is the absence of easy-to-use software that does not require programming knowledge. This article describes IVR Test & Survey, a program to facilitate the administration, scoring, and analysis of information collected with the use of IVR technology.

CD-I↗
PubMed2003

Crystallization, data collection and phasing of black-eyed pea trypsin/chymotrypsin inhibitor in complex with bovine beta-trypsin.

The black-eyed pea trypsin and chymotrypsin inhibitor (BTCI) is a Bowman-Birk-type inhibitor from Vigna unguiculata seeds. A complex of BTCI with bovine beta-trypsin was crystallized by the hanging-drop vapour-diffusion method with ammonium sulfate as precipitant. Crystals belong to the orthorhombic space group P2(1)2(1)2(1), with unit-cell parameters a = 59.3, b = 61.8, c = 80.0 A. Diffraction data were collected to 2.36 A resolution and were processed to give an overall R(sym) of 0.137. The Matthews coefficient for one complex per asymmetric unit is 2.2 A(3) Da(-1), with a corresponding solvent content of 43%. After molecular replacement and initial refinement, the model gives an R(cryst) of 0.361 and an R(free) of 0.432.

Animals↗
PubMed2005

Comorbidity of rosacea and depression: an analysis of the National Ambulatory Medical Care Survey and National Hospital Ambulatory Care Survey--Outpatient Department data collected by the U.S. National Center for Health Statistics from 1995 to 2002.

BACKGROUND: Psychogenic factors have been considered to be important in the exacerbation and possibly the onset of rosacea. However, there are very few studies that have reported conclusive findings. OBJECTIVES: To examine the association between rosacea and major depressive disease, a common and usually treatable psychiatric disorder. METHODS: Data from 1995 to 2002, collected by the National Ambulatory Medical Care Survey and the outpatient component of the National Hospital Ambulatory Care Survey, which are both nationally representative surveys of healthcare visits in the U.S.A., were studied. The basic sampling unit in both surveys is the patient visit or encounter. A "Rosacea" variable was created by grouping all rosacea (ICD-9-CM code 695.3) visits and a "Depression" variable was created by grouping the patient visits related to major depressive disorder (ICD-9-CM codes 296.2, 296.3 and 311). As alcohol abuse has been implicated in rosacea, and alcohol can confound symptoms of depression, an "Alcohol" variable was created by grouping all ICD-9-CM codes related to alcohol dependence and abuse (codes 303, 303.0, 303.9 and 305.0). All analyses were conducted using the Complex Samples module of SPSS version 13, to account for the multistage probability sampling design used to collect the data. RESULTS: The weighted data were representative of over 608 million dermatology visits between 1995 and 2002. Logistic regression analysis using "Rosacea" as the dependent variable and age, sex, "Alcohol" and "Depression" as independent variables revealed that the odds ratio for depressive disease in the rosacea group was 4.81 (95% confidence interval 1.39-16.62). The association between "Alcohol" and "Rosacea" was not significant. CONCLUSIONS: The comorbidity between major depressive disease and rosacea may have important clinical implications. Alcohol abuse does not appear to play a significant role in this association.

Adolescent↗
PubMed2003

The impact of future trends in electronic data collection on musculoskeletal research and evidence-based orthopaedic care.

Electronic medical documentation systems offer the greatest potential source of data to enable the evolution to evidence-based musculoskeletal care. To this end, it is important that providers of musculoskeletal care embrace structured medical records systems that record medical information in fields thereby making data easily accessible for the purpose of later analysis. Gathering data in a structured format can be labor intensive but significant time and cost savings are realized by reduced dictation and transcription and the automated output of requisitions and correspondence. Physicians will only use structured electronic records if the system reduces overhead while at the same time minimizing their work load. Since getting information into the system is the greatest impediment to successful implementation of a structured record, the use of Web forms for previsit patient data entry and touch screen handheld computers with wireless connectivity for provider data entry will play an important role in facilitating their adoption. Ultimately, industry-standard, field-naming nomenclature for specific historical features, examination findings, and therapeutic interventions will make data in all documentation systems comparable regardless of vendor. When that day comes, every new patient assessed will be a candidate for a prospective study.

Data Collection↗
PubMedDate not supplied

The accuracy of tooth loss data collected by nurses.

This paper reports on the accuracy of tooth counts conducted in 22 subjects by 10 trained nurses as part of a large longitudinal study of a pharmacological agent. These nurses participated in a training course consisting of seminars, discussion, demonstrations, and practice examinations. Each of the nurses then counted the teeth of 22 subjects and recorded their findings independently. The counts of the nurses were compared with those of the dentists to assess the accuracy of the nurses' counts. We found that nurses and dentists were in perfect agreement for 86% of the patient counts conducted. Individual nurses' levels of agreement with dentists ranged from 73% to 100%, with pairwise kappa statistic values ranging from 0.70 to 1.00. In addition, both Pearson correlation and interclass correlation measures exceeded 0.98 for every comparison of dentist and nurse counts. The results of this study suggest that training nondental health care workers may be an accurate and low-cost way of obtaining tooth loss data and other oral health measures, particularly when oral health data are collected as part of larger, multi-disciplinary studies.

Aged↗