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Data collection systems for weight loss surgery: an evidence-based assessment.

OBJECTIVE: To evaluate the existence and efficacy of data collection systems for weight loss surgery (WLS) and establish evidence-based guidelines for the development of a statewide WLS registry in Massachusetts. RESEARCH METHODS AND PROCEDURES: We conducted two systematic searches of English language literature in MEDLINE. The first was on data collection registries related to WLS; the second was an expanded search encompassing other surgical fields (e.g., cardiac and thoracic surgery) and registries (i.e., cancer). Fourteen articles were found to be pertinent. Data were extracted, and evidence categories were assigned according to a grading system based on established evidence-based models. Recommendations were derived from these literature reviews and expert opinion. RESULTS: This task group found that there are no standardized data collection systems for WLS in Massachusetts (or any other states) and no mandated reporting of WLS-specific outcomes. We described existing WLS databases and systems in other surgical fields. Recommendations focused on the importance and feasibility of data collection for WLS and the need to conduct a pilot study and explore options for creating a statewide WLS database. DISCUSSION: A statewide WLS data collection system would optimize patient care by enabling the collection, analysis, and dissemination of best practice data. A broad-based effort is needed to meet challenges involved in defining and implementing such a system.

Data Collection↗

Rapid determination of egg weight and specific gravity using a computerized data collection system.

A rapid data-collection system for determining egg weight and specific gravity is described. The method links a microcomputer and an electronic balance to facilitate specific gravity determination by the displaced water (CADW) or Archimedes' method. Measurements obtained by this technique were compared with those determined by the saline flotation method. Repeatability measures showed both methods to be relatively precise. The CADW method was faster and reduced opportunities for clerical error.

Animals↗

Data collection for an obstetric department.

A well-designed computerized data collection system allows an accurate, complete data-set to be compiled for all pregnant women. It should be able to produce all the documentation necessary for pregnancy care, with minimum delay, and avoid repetitive data entry. Data is stored on computer on the back of operational tasks so that it may be subsequently used for audit. In addition it may be used for research purposes. Patient care can be improved if the computer is programmed to react to certain items being entered by requesting further relevant data-items. This therefore acts as a teaching method. A further extension of this is to use the data to help reach a diagnosis and thus suggest a logical management. A computerized data collection system cannot bring order out of chaos. Before introducing one there must be well-stated objectives of what is required from it. It must be clearly stated what is to be collected by whom and for what purpose. Apart from the capital outlay there may be a need to set money aside for revenue purposes for additional staff involved in maintaining the system. If a large system is being introduced then this will have considerable implications with regard to the work done by some staff, and job descriptions may need renegotiation--an aspect usually overlooked.

Data Collection↗

ODDC and MULTIGRAPH: programs for spectrophotometer data collection and manipulation using a microcomputer.

A software package is described that collects, graphs, performs peak sensing, and prints data from a spectrophotometer interfaced to an Apple II microcomputer with an ADALAB analog-to-digital converter card. Data collection and storage is performed by an interpreted BASIC program with machine language subroutines. Recalling, graphing, and printout of the data is accomplished by a separate compiled BASIC program. Both of these programs, as well as assisting utility programs, are under control of a menu program. The programs take advantage of all available memory in the 64-K Apple II computer to allow for storage of up to 12 600 data points (7 hours of data collection at a sampling rate of 1 sample every 2 s). As the data collection program provides peak sensing, and the capability of annotating various time points, the programs are ideally suited for use in column chromatography.

Chromatography↗

Development of web-based qualitative and quantitative data collection systems: study on daily symptoms and coping strategies among Japanese rheumatoid arthritis patients.

With the sharp rise in Internet access in recent years, the Internet is increasingly being used for research. We have developed two new systems using the Internet for both quantitative and qualitative data collection. One is a dynamic system for creating questionnaires and collecting responses and the other is an individual patient support follow-up system. These systems do not depend on the capacity of computers or servers and enable researchers to interact with participants privately and asynchronously. We have used these systems to collect data on daily symptoms and journal entries from 12 community-dwelling women with rheumatoid arthritis (RA) for a minimum of 1 month. The mean number of data submissions per month was 14.2 +/- 7.8, with the majority recording entries every day, and some submitting several times a day. The combination of two types of data elucidated the changes in coping and coping strategies in conjunction with changes in symptoms, even in a single day, and the coexistence of positive and negative coping. Research participants benefited from web-based symptom management and counseling resulting from 1 month of frequent interactions with the researcher. The use of the Internet for nursing research and interventions thus seems to show promising results.

Adaptation, Psychological↗

Injury surveillance: a statewide survey of emergency department data collection practices.

STUDY OBJECTIVE: To assess current emergency department data collection practices in Pennsylvania and determine whether existing data sources can be used as part of a statewide injury surveillance system. METHODS: Separate survey questionnaires requesting information on current ED patient data collection practices and attitudes were mailed to all directors of medical records, billing, and EDs in Pennsylvania (N = 212). RESULTS: Of the medical records department respondents, 92% indicated that ED registration data are retained in a computerized information system; 94% of respondents from billing departments reported that their ED patient registration system is integrated with an ED billing system. A total of 36% of EDs surveyed use a computerized ED patient logbook, and another 27% plan to begin a computerized log within 2 years. Dictation and transcription services that permit electronic retrieval of text are being used by 26% of EDs for patient medical records. CONCLUSION: Many elements for building a statewide ED injury surveillance system are in place in Pennsylvania, but they are as yet incomplete. Future studies should examine the feasibility of integrating existing ED data systems into statewide injury surveillance systems.

Data Collection↗

Tutorial: planning for data collection. Part II: Designing the study.

Part II of this three-part tutorial focuses on the logistics of data collection. The author presents a checklist of things to consider when planning the details of a data collection effort; touches on the topics of bias and stratification; discusses examples of popular data collection methods; and points out some common pitfalls in data collection, offering practical tips on how to avoid them.

Data Collection↗

Identification of Australians from culturally and linguistically diverse backgrounds in national health data collections.

In multicultural Australia, comprehensive and up-to-date information on ethnicity and health is essential to guide policy and service development in the health sector. Data collected for purposes other than research are a potentially important source of information. This study explored the extent to which indicators of cultural and linguistic diversity are currently included in national health and welfare service data collections, and the data standards employed. We identified and reviewed 44 relevant bodies of work: 7 national data dictionaries, 15 national data sets, 10 national health data collections and 12 national surveys. Each of the large data dictionaries (health, community services and housing assistance) contained several ethnicity-related variables. Immigrant Australians were identified (usually by country of birth, sometimes by language, and occasionally by period of residence or year of arrival) in all the major national health and community data sets, health data collections and surveys. Australian Bureau of Statistics standards and classifications relating to cultural and linguistic diversity were widely used. Researchers, health policy makers and planners should fully exploit these secondary data sources, as well as undertaking or commissioning primary research.

Australia↗

Validating a statewide data collection: differences in information technology resources between hospitals.

The Victorian Perinatal Data Collection Unit (VPDCU) is a statewide data collection established to collect information on the health of mothers and their babies. A Perinatal Morbidity Statistics Form is required to be completed for every birth, then forwarded to the VPDCU. Many medical record departments are responsible for both forwarding the forms to the VPDCU and responding to queries on data accuracy. In 1996 we undertook to determine if we were receiving a perinatal form for every birth occurring at every hospital in the State with obstetric beds. Health information managers were requested to supply a listing of all babies born at their hospitals in 1995-129 hospitals responded. Overall 62,759 births were validated. The VPDCU had received a perinatal form for 99.6 per cent of these births, with 251 missing forms. Reasons why the VPDCU had not received the forms were investigated.

Adolescent↗

Structured data entry of clinical information for documentation and data collection.

Routine databases containing large amounts of clinical data represent a tremendous opportunity for the evaluation of health care practices and outcomes. However, data collected for administrative purposes has limitations in content, accuracy and completeness. Routine entry of clinical information directly into clinical information systems by care providers is one strategy to address this problem. We developed a structured data entry method, the Clinical Data Framework (CDF), which has been used to support the capture of clinical information by clinicians in the normal process of care delivery. A study of the CDF over a two month period showed that it improved the accuracy of completeness of data collection over a coding method which was based on selection of ICD-9-CM codes.

Data Collection↗

Using the Internet for data collection. An innovative electronic strategy.

Computer hardware and software have revolutionized research data management. Data collection has, however, remained a time-consuming and expensive component of most research projects. This article presents a description of an innovative strategy for data collection using computer network forums on the Internet (the "information superhighway"). The success of the electronic data collection strategy is illustrated by a report of the results of a survey of the needs and coping mechanisms of cancer survivors.

Adaptation, Psychological↗

Comparison of three data collection methodologies for the study of young illicit drug users.

Three data collection methods (street-intercept, telephone ring-in and focus-group discussions) were compared for their feasibility, reliability, validity and cost. The subjects of investigation were drug-related behaviours, attitudes and knowledge among current illicit drug users aged 16 to 21 years in Sydney. All three methods were found to be feasible and to produce reliable and valid information. Few differences in the demographic make-up and drug-use profiles of the samples were evident. The main differences between the data collections related to cost and the type of information obtained. The street-intercept method was the cheapest per completed interview and the focus-group method was the most expensive. Focus-group discussions were considered a valuable adjunct to the surveys because they facilitated an understanding of the quantitative survey results. It was concluded that the street-intercept method is the preferred survey method because of its lower cost and lower susceptibility to volunteer bias compared to the telephone ring-in. For repeated data collection to monitor changes in drug use patterns, street-intercept surveys in combination with focus-group discussions are recommended.

Adolescent↗

Attitudes toward standardized data collection.

BACKGROUND AND PURPOSE: Clinical databases will gain importance as physical therapists need to determine the effectiveness and justify the expense of treatment. Obstacles impeding participation in standardized data collection need to be identified and addressed to construct high-quality databases. SUBJECTS: Subjects were clinicians involved in patient care in a multisite physical therapy/occupational therapy practice that had initiated a standardized data collection program. METHODS: Questionnaires, asking about participation in the data collection project, were distributed to participating clinics. Factor analysis identified attitudes toward standardized data collection. Relationships between efforts to learn standardized methods, attitudes, clinic and clinician characteristics, and levels of participation in the project were investigated. RESULTS: Most respondents (66%) had made some effort to learn the standardized procedures. Five attitudes were identified: inconvenience, acceptance of operational definitions, automation, paperwork, and training. CONCLUSION AND DISCUSSION: Inconvenience of data collection and training in standardized methods need to be addressed to construct large, high-quality databases.

Adult↗

A review of randomized controlled trials comparing the effectiveness of hand held computers with paper methods for data collection.

BACKGROUND: Handheld computers are increasingly favoured over paper and pencil methods to capture data in clinical research. METHODS: This study systematically identified and reviewed randomized controlled trials (RCTs) that compared the two methods for self-recording and reporting data, and where at least one of the following outcomes was assessed: data accuracy; timeliness of data capture; and adherence to protocols for data collection. RESULTS: A comprehensive key word search of NLM Gateway's database yielded 9 studies fitting the criteria for inclusion. Data extraction was performed and checked by two of the authors. None of the studies included all outcomes. The results overall, favor handheld computers over paper and pencil for data collection among study participants but the data are not uniform for the different outcomes. Handheld computers appear superior in timeliness of receipt and data handling (four of four studies) and are preferred by most subjects (three of four studies). On the other hand, only one of the trials adequately compared adherence to instructions for recording and submission of data (handheld computers were superior), and comparisons of accuracy were inconsistent between five studies. CONCLUSION: Handhelds are an effective alternative to paper and pencil modes of data collection; they are faster and were preferred by most users.

Biomedical Research↗

Injury surveillance during medical coverage of sporting events--development and testing of a standardised data collection form.

Medical coverage services have the potential to play a key role in sports injury surveillance activities. Provided that injury surveillance activities are fully coordinated and a standardised data collection procedure is implemented, valuable sports injury information can be obtained by medical coverage personnel. This paper describes the development of a standardised injury data collection form for use by medical coverage personnel during large sporting events. The form was trialed during two large sporting events in Melbourne, Australia in 1995. A range of sports medicine and sports first aid personnel was involved in the trial and injury details were collected on all persons receiving treatment from the coverage team, irrespective of injury severity. The final sports injury data collection form is easy to use, can be used by all types of medical coverage personnel and can provide valuable data in a timely manner. The form has since been adopted as the injury data collection standard at a number of major Australian sporting events. Recommendations for incorporating injury surveillance activities when organising sporting events and planning medical coverage services are given. Suggestions for maximising compliance with data collection procedures are also discussed.

Algorithms↗

Data collection for sexually transmitted disease diagnoses: a comparison of self-report, medical record reviews, and state health department reports.

PURPOSE: To compare three methods of data collection on case ascertainment of past chlamydia or gonorrhea diagnoses. METHODS: Data collection for 361 adolescent females between 1998 and 2000 included: 1) face-to-face interviews; 2) computerized and paper medical record reviews; and 3) chlamydia and gonorrhea reports to the state health department. Statistical methods include latent class and composite reference standard analyses. RESULTS: The estimated prevalence of past diagnoses did not differ significantly by data collection method for chlamydia (20.5%, 23.0%, and 19.7% by self-report, medical record reviews, and state health department reports, respectively) or gonorrhea (4.7%, 6.9%, and 5.5%, respectively) during the 2-year study period. The estimated latent class and composite reference standard prevalences for chlamydia were 23.5% and 26.9%, respectively (p=.04 and p < .01 for differences from self-report alone, respectively). For gonorrhea, the estimated latent class and composite reference standard prevalences were 7.8% and 6.9%, respectively (p < .01 for both differences from self-report alone). Kappa scores for self-report compared with the latent class and composite reference standard prevalences ranged from .67 to .80, and the magnitude of under-reporting ranged from 21% to 47%. CONCLUSIONS: The similar case ascertainment from the three sources separately and high reliability of self-report, coupled with its feasibility and low cost, suggest that self-report is a viable data collection method for STD diagnoses. However, using multiple sources may be preferable when time and resources permit given that under-reporting by self-report is likely to occur (particularly for gonorrhea) and that greater case ascertainment can be achieved.

Adolescent↗

Use of a novel electronic data collection system in multicenter studies of irritable bowel syndrome.

BACKGROUND: The reliability of symptom data collected during efficacy studies in irritable bowel syndrome (IBS) is paramount to the proper assessment of potential therapeutic agents. Historically, data have been collected on paper diary cards, which patients were requested to fill out at a specified interval. However, with paper diary cards it is not possible to determine whether the cards are filled out as required, or at random times. To circumvent this problem, a novel electronic data collection system that ensures the reliability and security of data entry was used. METHODS: Data were collected from 640 patients during the 2-week screening and 12-week treatment phases of two multicentre trials of IBS. The electronic data collection system used was based upon a touchtone telephone system. RESULTS: The electronic data collection system had a potential 8135 up-time hours during the study. An up-time of 8040 h and down-time of 95 h was observed. This corresponds to an up-time of approximately 99%. Patient compliance for data entry in the two studies was 81% and 83%, respectively. On a single random day during their daily telephone call, patients were asked questions to assess satisfaction with the system. On aggregate, 79% of patients were satisfied or very satisfied with the system, only 10% were dissatisfied or very dissatisfied. CONCLUSION: A unique electronic data collection system was tested for use in clinical studies in IBS. This system provided 100% reliability as to the date of data entry, and data were not subject to modification once entered. This methodology represents a marked advancement in clinical studies of IBS.

Colonic Diseases, Functional↗

Using observation for data collection.

Observation is a term that describes several methodological techniques, and can be used to collect qualitative or quantitative data. Non-verbal behaviour and tactile skills are particularly amenable to observation. The presence of an observer may affect the behaviour of subjects. Data collection may be influenced by the observers' expectations and motives.

Data Collection↗