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At least 937 records · Page 52Linked to original sources

Computerised data collection: practicability and quality in selected general practices.

The objective of the study as to assess the consistency with which a set of pre-defined data about three fictitious patients was entered into a sample group of practice computer systems, and to measure the time required for routine data capture of this kind. The study design was a prospective, piloted, postal survey, in which respondents were requested to enter a variety of general sample data onto their systems, to time the process, and record details of any difficulties. The subjects were 76 (39%) responding general practices in England and Ulster, from a random sample of members of a GP computer specialist group. These results (which in view of the highly motivated characteristics of the responding sample are likely to represent best practice) showed that differing conventions were applied in entering patient data, even among practices using the same type of computer system. Potentially significant errors and distortions were found in the data as recorded in the systems, such as the 29% of immunisation sequences which were slightly inaccurately entered. The main problems with the data entry comprised simple operator errors, inconsistency in the use of terms entered, and difficulties in recording negative data (only 20% of practices could enter patient 'not incontinent'). Practices varied widely in the way they allocated data recording responsibilities to staff, with only 6% of practices involving all staff in data entry.(ABSTRACT TRUNCATED AT 250 WORDS)

Bias↗

The complexity of chronic disease at later ages: practical implications for prospective payment and data collection.

The diagnosis related groups system developed to pay for Medicare services under prospective payment has certain built-in constraints, owing to limitations in the data available at the time. To identify additional dimensions potentially relevant to case mix, we used a multivariate grouping model-"Grade of Membership"-on discharge records for patients 65 years of age and older hospitalized in Maryland in 1981 with diagnoses of breast cancer, leukemia, or lung cancer. We found that five dimensions are required to accurately type patients: prognosis, disease severity, the interaction effect of multiple illnesses, admission status, and treatment strategy. We also found that at least three possible stages of treatment can be identified and classified. We discuss the implications of our findings for DRG classification, administrative billing records, and the ICD-9 system.

Aged↗

Neutron Laue diffractometry with an imaging plate provides an effective data collection regime for neutron protein crystallography.

Neutron quasi-Laue diffraction data (2 A resolution) from tetragonal hen egg-white lysozyme were collected in ten days with neutron imaging plates. The data processing Laue software, LAUEGEN, developed for X-ray Laue diffractometry, was adapted for neutron diffractometry with a cylindrical detector. The data analysis software, X-PLOR, was modified and used for the refinement of hydrogen atoms, and the positions of 960 hydrogen atoms in the protein and 157 bound water molecules, were determined. Several examples are given of the methods used to identify hydrogen atoms and water molecules.

Animals↗

Crystallization and MAD data collection of high-molecular weight cytochrome c from Desulfovibrio vulgaris Miyazaki F.

Hexadecaheme high molecular weight cytochrome c from a sulfate-reducing bacterium, Desulfovibrio vulgaris Miyazaki F has been successfully purified and crystallized. X-ray diffraction data have been collected by the multiple wavelength anomalous dispersion method. The crystal belongs to the space group P2(1)2(1)2(1) with unit-cell parameters a=60.42, b=84.29 and c=144.16 A and contains one molecule per asymmetric unit.

Crystallization↗

Automated data collection and presentation in the operating room.

An 'Operating Room Data Integration System', is described which is used to collect, present and archive all important physiological parameters during open heart surgery. The system requires very little attention, and provides an easy to understand and coherent interface to the user. The system is adaptable to a large extend and thus data can be presented to the user in a manner, with which he or she is already familiar. Simple drivers can be written to enable connection of the system to almost any other piece of medical equipment, if the latter provides an analog or digital, output signal. Automatic logging of the acquired signals is then possible.

Computer Systems↗

Data collection and analysis from a respiratory inductance plethysmograph.

A respiratory inductance plethysmograph, Respitrace, was used to assess the respiratory effects of narcotic analgesia for the first 24 hours after surgery. Data were collected on-line from the plethysmograph with an Apple][+ microcomputer and stored on disc for later analysis of respiratory rates and tidal volumes, and also periods of central or obstructive apnoea using the difference in phase angle between the abdominal and respiratory components. This involved the measurement of, on average, more than 20,000 breaths per patient and techniques of data compression were required to store this amount of information on a single floppy disc. Frequent nursing interventions reduced the accuracy of tidal volume and phase angle measurements, but respiratory rates were obtained accurately breath by breath.

Calibration↗

[Delivery logbook: pertinence of the collected data for scientific exploitation].

OBJECTIVES: To determine if the data recorded in the delivery logbook are relevant and complete compared to the data registered in the patient's medical chart. MATERIAL AND METHODS: Prospective study during one month recording all the data registered by the midwives or the medical doctors in the delivery room immediately after the birth. To compare them to the information collected in the patient's medical chart. Our delivery logbook has 55 headings for each patient. During October 1998, we had 156 births. RESULTS: We had 5.3% of errors divided by missing data and erroneous entries. More precisely, we recorded 9.5% of errors in the antepartum data, 3.2% in intrapartum or postpartum events and 5.8% in the newborn information. CONCLUSION: This study demonstrates that medical data used for scientific projects and recorded in the delivery logbook, have to be interpreted very cautiously. It seems to be reasonable that each obstetrical unit should standardize its registration of data and carry out internal audits.

Bias↗

The Swiss Health Survey Project (SOMIPOPS): an example of a data collection effort from various sources.

In 1981/82 the first representative health survey (SOMIPOPS "Socio-medical indicators for the population of Switzerland") was conducted 1) to gain representative data on health status (perceived morbidity), use of health services, 2) to analyse the demand for health care, and 3) to develop reliable health and use indicators. In order to validate questionnaire and interview data (primary data sources), two additional (secondary sources) were used: income and wealth data for the whole of the original SOMIPOPS sample (N = 5,860), and health insurance records for 80% consenting members of the interviewed sample. The integration of different data sources on an individual level greatly enhances the analytic potential of health survey.

Data Collection↗