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At least 487 records · Page 27Linked to original sources
PubMed1980

Problems of case finding and data collection in ambulatory care settings.

The experience gained in a four-year ambulatory care study suggests that major problems of patient care data collection include: 1) Difficulties in obtaining listings of patients by diagnosis/condition that accurately reflect the actual practice experience; 2) Inaccurate coding or identification of the reason for patient visits; and 3) Inability to find the medical record within the system. Data presented here suggest there are certain regularities in completion rates characteristic of research sites and of diagnostic categories.

Adult↗
PubMed2003

Modelling the 3-year risk of myocardial infarction among participants in the Data Collection on Adverse Events of Anti-HIV Drugs (DAD) study.

OBJECTIVES: To estimate the 3-year risk of myocardial infarction (MI) among participants in the Data Collection on Adverse Events of Anti-HIV Drugs (DAD) study. METHODS: Conventional cardiovascular risk equations were applied to baseline data from the DAD study to estimate the 3-year risk of MI. Best estimates were obtained by simply applying the risk equations, with upper and lower limits based on worst case and optimistic case scenarios. Three-year risks of AIDS or death were also estimated based on a prognostic scoring system for patients receiving antiretroviral (ARV) treatment, and on estimated AIDS rates in untreated people with HIV for those patients not on ARVs or if they were to cease ARVs. RESULTS: Analyses were based on 17 600 patients (24.3% female) recruited into the DAD study with baseline data and no previous MI. The overall 3-year risk of MI was estimated to be 0.72% (lower limit 0.35, upper limit 1.12%), corresponding to a total predicted 127 (65-197) MIs over a 3-year follow-up period. The risk was much greater for men than women (0.92% vs. 0.07%), with only three (2-8) MIs predicted in women. The 3-year risk of MI was estimated to increase from 0.30% (0.20-0.38%) in ARV naive patients to 1.07% (0.43-1.77%) in patients receiving ARVs from all three drug classes. The estimated 3-year risk of AIDS or death was in the range 6.2% to 11.1% in patients receiving ARVs if they continued treatment, and 22.5% to 29.4% if they ceased ARVs. DISCUSSION: These models suggest that although the increase in relative risk of MI as a result of ARV treatment may be as high as threefold in a worst case scenario, the absolute risk is modest with a best estimate of 3-year risk less than or equal to 1% in all groups of patients, and is outweighed by the benefits of ARV treatment in terms of reduced risk of AIDS and death in most patients. As estimates are based on models not validated for people receiving ARV drugs, all estimates should be interpreted cautiously.

Adult↗
PubMed1999

[Technical investigation of cerebral blood flow measurements using the Patlak Plot method--a contrivance for positioning of the gamma camera at data collection in radionuclide angiography].

The time-activity curve for the aortic arch obtained from radionuclide angiography (RNA) is handled as an input function parameter according to the method of Matsuda et al., which determines regional cerebral blood flow non-invasively. The data are collected from a frontal view of the thorax captured by RNA by their method, however we encountered a case in which it was difficult to identify aortic arch in the data collection from the frontal view. The precise identification of the aortic arch was implemented when the RNA data were collected from the left anterior oblique view of the thorax. No significant difference was noted in the measured values between the data collection from the frontal view and from the left anterior oblique view. Our method seems to be useful modification of the Patlak plot method.

Aged↗
PubMed2001

Real-time data collection in Linux: a case study.

Multiuser UNIX-like operating systems such as Linux are often considered unsuitable for real-time data collection because of the potential for indeterminate timing latencies resulting from preemptive scheduling. In this paper, Linux is shown to be fully adequate for precisely controlled programming with millisecond resolution or better. The Linux system calls that subserve such timing control are described and tested and then utilized in a MIDI-based program for tapping and music performance experiments. The timing of this program, including data input and output, is shown to be accurate at the millisecond level. This demonstrates that Linux, with proper programming, is suitable for real-time experiment software. In addition, the detailed description and test of both the operating system facilities and the application program itself may serve as a model for publicly documenting programming methods and software performance on other operating systems.

Data Collection↗
PubMed2007

Content of a novel online collection of traditional east African food habits (1930s-1960s): data collected by the Max-Planck-Nutrition Research Unit, Bumbuli, Tanzania.

BACKGROUND: Knowledge of traditional African foods and food habits has been, and continues to be, systematically extirpated. With the primary intent of collating data for our online collection documenting traditional African foods and food habits (available at: www.healthyeatingclub.com/Africa/), we reviewed the Oltersdorf Collection, 75 observational investigations conducted throughout East Africa (i.e. Tanzania, Kenya, and Uganda) between the 1930s and 1960s as compiled by the Max Planck Nutrition Research Unit, formerly located in Bumbuli, Tanzania. METHODS: Data were categorized as follows: (1) food availability, (2) chemical composition, (3) staple foods (i.e. native crops, cereals, legumes, roots and tubers, vegetables, fruits, spices, oils and fats, beverages, and animal foods), (4) food preparation and culture, and (5) nutrient intake and health status indicators. RESULTS: Many of the traditional foods identified, including millet, sorghum, various legumes, root and tubers, green leafy vegetables, plant oils and wild meats have known health benefits. Food preparatory practices during this period, including boiling and occasional roasting are superior to current practices which favor frying and deep-frying. Overall, our review and data extraction provide reason to believe that a diversified diet was possible for the people of East Africa during this period (1930s-1960s). CONCLUSIONS: There is a wealth of knowledge pertaining to traditional East African foods and food habits within the Oltersdorf Collection. These data are currently available via our online collection. Future efforts should contribute to collating and honing knowledge of traditional foods and food habits within this region, and indeed throughout the rest of Africa. Preserving and disseminating this knowledge may be crucial for abating projected trends for non-communicable diseases and malnutrition in Africa and abroad.

Africa, Eastern↗
PubMed1993

Data collection efforts in New England.

Amid growing demands for statistical compilations about home care, the eight state home care associations of the National Association for Home Care's Region I ventured into the arena of data collection. What have they learned?

Data Collection↗
PubMed1996

[Study of improving professional training: effect on data collection].

In this study, 30 nurses who worked and studied in one ward were divided into three groups. They accepted one of the three measures for training, that is, lecture, teach by demonstration, and pre-practice and after practice discussion. The quality of data collecting process and data records for everyone have been checked. Result showed the quality of three groups got progress by training and the group of discussion was the best. The progress was increasing obviously with time of work and education.

Education, Nursing, Continuing↗
PubMed1989

Quality assurance and data collection: current status, problems, and pitfalls.

1. It is important to measure and improve quality of care, particularly in this era of cost consciousness. 2. It is difficult to measure quality of care. 3. Current data collection systems have many inconsistencies and errors. 4. Statistical analysis cannot correct bad data. 5. Data based solely on DRG analysis are highly suspect. 6. Measurement of acuity of illness on admission is important for valid comparisons of outcomes. 7. We have a moral and ethical obligation to strive for better systems of measuring quality and to inform the public of the results of such measurements when they become sufficiently accurate.

Data Collection↗
PubMed1993

Chemotherapy administration and data collection in an EORTC collaborative group--can we trust the results?

As part of a phase II study of the EORTC Soft Tissue and Bone Sarcoma Group, 15 centres took part in a programme to evaluate the quality of treatment delivered and data collected. The centres were visited and facilities for treatment and data management were reviewed. Source data in randomly selected patient hospital records were compared with information which had previously been completed on case record forms and returned to the EORTC Data Centre. The review included 71% of the patients entered into the study and 76% of the treatment cycles. Chemotherapy was prepared by nurses or clinicians in 58% and by pharmacists in 42% of the centres and was administered by specialist nurses in 67% of the hospitals. 8776 items were checked with source data. 3.4% were incorrect, 0.2% were missing and 30% could not be verified as correct (mainly related to the lack of recording of toxicity data in hospital records). The mean doses of chemotherapy delivered and treatment intervals were those stipulated in the protocol but 21% of the cycles were delayed for avoidable reasons. Several modifications to the procedures for running chemotherapy trials were suggested by this survey including the use of a systematic checklist for recording toxicity and chemotherapy administration and the development of quality assurance programmes in other collaborative groups and single centres to ensure that published results are credible.

Adult↗
PubMed2002

A multimodal data collection tool using REALbasic and Mac OS X.

This project uses REALbasic 3.5 in the Mac OS X environment for development of a configuration tool that builds a data collection procedure for investigating the effectiveness of sonified graphs. The advantage of using REALbasic with the Mac OS X system is that it provides rapid development of stimulus presentation, direct recording of data to files, and control over other procedural issues. The program can be made to run natively on the new Mac OS X system, older Mac OS systems, and Windows (98SE, ME, 2000 PRO). With modification, similar programs could be used to present any number of visual/auditory stimulus combinations, complete with questions for each stimulus.

Data Collection↗
PubMed2006

[Data collection and the Czech Republic Trauma Registry].

INTRODUCTION: A trauma registry is an integral part of any thorough traumatological care conception. The essential task of such a data collection is to provide complex information on conditions, treatment, outcomes and trauma treatment costs, considering a region or other registered part of, usually, a state entity. MATERIAL, METHODOLOGY: Registration of individual trauma characteristics throughout the state territory is a prerequisite for creating a data set, providing information for making valid conclusions applicable for all ranges of human activity. The trauma registry outputs are essential for traffic institutions, police, commercial inspection, commercial and health insurance companies, hospitals, etc. With respect to traffic problematics, the trauma registry plays a significant role in pointing out the most risk places in the region, in assessing the traffic type and use of protective tools. Furthermore, it facilitates exact aiming of preventive and corrective measures. CURRENT CONDITION: Current legislation does not require reporting data to the trauma database, insufficient data are provided by UZIS only. Our Clinic of Paediatric Surgery, Orthopaedics and Traumatology iniciated a model version of the Czech Republic National Trauma Registry. Our activities were approved by and supported by the Society of Traumatologic Surgery. It is a question of time, when sufficient pressure is exerted and the trauma registry becomes an integral part of the traumatological care in the Czech Republic.

Accidents, Traffic↗
PubMedDate not supplied

Valve data collection: problems and pitfalls.

Since 1981, the Department of Medical Physics and Clinical Engineering at the University of Sheffield has been responsible for the organization, management and data collection associated with the largest multicentre heart valve implant patient follow-up study in the Western world. At the present time, the database comprises information on over 16,000 valve implants, which have been provided by 57 surgeons working at 22 centres in the UK. All this data is available for in-depth statistical analysis. Over 30 individual valve models presently are included in the Study and these can be categorized into five main types: ball, disc, porcine, pericardial and homograft. Analysis includes descriptive statistics as well as valuable information on the various performances of the different valves. Survival and event-free survival graphs are obtained by actuarial methods and individual valve types can be studied in depth in terms of freedom from thromboembolic complications and valve dysfunction. Whilst this approach provides interesting and valuable survival data, it does not take account of the wide variation in prognostic factors which occur within large groups of patients. This latter problem can be addressed by the use of proportional hazards analysis and this paper provides details of this approach and typical results obtained from the use of this method. These include the comparative performances of the major types of valves currently in use in terms of the event-free survival of the patients.

Adolescent↗
PubMed2002

The medical communications officer. A resource for data collection, quality management and medical control.

Pinellas County EMS' Medical Communications Officers provide a wide variety of services to patients, field clinicians, managers and their medical director. The concurrent data collection processes used in the MCO program for performance measurement of resuscitation efforts, intubations, submersion incidents and aeromedical transports for trauma cases have been very effective in the integration of data from multiple computer databases and telephone follow-ups with field crews and receiving emergency department staffs. This has facilitated significant improvements in the performance of these and many other aspects of our EMS system.

Administrative Personnel↗
PubMed2005

Identifying and overcoming obstacles to point-of-care data collection for eye care professionals.

Supporting data entry by clinicians is considered one of the greatest challenges in implementing electronic health records. In this paper we describe a formative evaluation study using three different methodologies through which we identified obstacles to point-of-care data entry for eye care and then used the formative process to develop and test solutions to overcome these obstacles. The greatest obstacles were supporting free text annotation of clinical observations and accommodating the creation of detailed diagrams in multiple colors. To support free text entry, we arrived at an approach that captures an image of a free text note and associates this image with related data elements in an encounter note. The detailed diagrams included a color pallet that allowed changing pen color with a single stroke and also captured the diagrams as an image associated with related data elements. During observed sessions with simulated patients, these approaches satisfied the clinicians' documentation needs by capturing the full range of clinical complexity that arises in practice.

Attitude to Computers↗
PubMedDate not supplied

Intent-to-treat analysis for clinical trials: use of data collected after termination of treatment protocol.

Following patients for a period of time after termination of treatment protocols is a common practice in clinical trials of drug treatments. After termination of the protocol treatment, patients are usually provided with medical care as deemed appropriate, e.g. different doses of the same drug, augmentation with other drugs, or different drugs. Data collected on patients when they are not in the treatment protocol are termed "off-treatment" data to be differentiated from "on-treatment" data that are collected while patients are in the treatment protocol. The purpose of the present paper is to describe some recent statistical methodological advances in the use of "off-treatment" data for intent-to-treat (IT) analysis using mixture models [Biometrics 52 (1996) 1002]. Two-piece spline models conditional on the protocol treatment dropout time are developed first. The two pieces of the spline model represent the on-treatment and off-treatment segments of data and are joined at the dropout time. The weighted average of the two-piece conditional models across realizations of the dropout times provides the mixture model for the pragmatic IT analysis. The weights are the estimates of the probabilities of the dropout times. The mixture model is amenable to an explanatory analysis which assumes that the patients remain on their assigned treatments. The model allows the parameters of the splines to depend on the dropout time. Statistical inference is based on bootstrap sampling procedures. We have illustrated this methodology using data from a drug trial comparing nortriptyline and paroxetine in the treatment of major depression in older patients.

Clinical Trials as Topic↗
PubMedDate not supplied

Data collection strategies for accessing adolescent women's worlds.

A two-year study was initiated in 1999 to investigate adolescent women's health concerns pertaining to their relationships. Data were obtained from four groups of girls (ages 14-19; N = 31) that met for approximately 18 weeks each. To help equalize power in the groups and facilitate a respectful and caring environment, we encouraged each group to use a variety of strategies, including those based on feminist principles. Data collection procedures based on feminist values can enable researchers to gain rich descriptions on the lived experience of adolescent women. Such procedures can help create an environment in which individuals can articulate their concerns and collectively co-construct the meanings of life events in health-promoting and consciousness-raising ways.

Adolescent↗
PubMed1992

Quality control of dietary data collection in the CARDIA study.

The Coronary Artery Risk Development in (Young) Adults (CARDIA) Study developed and implemented quality control (QC) measures to minimize misclassification associated with dietary data. Manual and automated data inspection were used to monitor quality. Of the 5111 participants who completed a dietary history, 717 (14%) had dietary forms reviewed and 153 (3%) had the interview audiotaped. Results show that for the 717 forms reviewed, the overall form completion error rate was 0.22% and the "critical" error rate (i.e., those errors impacting on nutrient computations) was 0.12%. The proportion of forms free of any type of error increased over time (p less than 0.0001). The discrepancy rate in recording and interviewing methods as estimated from the 153 audiotaped interviews was 0.7%. Inter-interviewer differences were small as indicated by the audiotaped interviews and the proportion of error-free forms completed by interviewers. The results indicate that the dietary data collected in CARDIA were completely and accurately recorded for use in analysis.

Adolescent↗