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Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

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At least 19 recordsLinked to original sources
PubMed1976

Program evaluation in the public interest: a new research methodology.

For every social welfare or social control service program there are several parties, each with different interests: patients, clients, staff, management, and sponsors. Evaluation of such a program in the public interest must take the interests of these parties into account. To do so requires an untraditional methodology, that of a second-person, or communal, science, which is not above the conflict of parties and their interests in specifying the variables, staffing the research, balancing considerations of intrusion against those of bias, considering the action implications of the data, sequentially staging the research, or even publishing findings. This all makes evaluation in the public interest a highly political process often unlikely to be logically decisive about intervariable relationships, to yield generalizable results, or even to be completed.

Attitude of Health Personnel↗
PubMed1979

Prospective vs retrospective data for evaluating emergency care: a research methodology.

Emergency department records and patient charts do not provide enough or sufficiently detailed data for audit of quality of care in a high volume emergency department. As a solution, at the Department of Emergency Medicine, University of Southern California School of Medicine, three emergency medical technicians--hospital-based paramedics--were trained as observers of patient process and treatment. In addition to basic identification information, the form completed by observers listed 21 procedural steps and process data such as sequence, time for completion, type of personnel performing, necessary equipment and supplies, and space for comments. Direct observation of patient process was carried out in 442 patients, a total of 3,882 procedures was observed and recorded. The direct observation is perhaps the most accurate method of data collection for auditing purposes because it reflects actual events. This data was used by the Research Peer Review Committee to help rate the quality of patient treatment process.

Emergency Service, Hospital↗
PubMed1979

An application of response surface methodology to research in poultry nutrition.

Response Surface Methodology (RSM) is an experimental procedure for exploring and examining the nature of responses obtained from the simultaneous variation of quantitative factors. The method has been used only to a limited extent in poultry research. Statistical procedures were discussed for fitting a response surface to experimental data. An outline was made of the mathematical process for finding the stationary point, yield at the stationary point and nature of the response surface. A poultry example was given which involved the investigation of the protein and energy requirements of Japanese quail. The advantage of RSM was shown when it was determined by RSM procedures that the optimum response for body weight was out of the exploratory region covered in the first trial. A second trial was then conducted based on the levels of protein and energy predicted to give an optimum body weight. Optimum responses were shown for both body weight and feed conversion. Examination of the responses by three dimensional figures and computer plotting of contours was shown. The RSM procedure appears to offer an efficient method for examining the requirements and relationships of nutrients for poultry.

Analysis of Variance↗
PubMed2018

The Role of Emergence in Genetically Informed Relationships Research: A Methodological Analysis.

This paper provides a critical analysis of genetically informed research on relationships, with an emphasis on relationships among unrelated individuals (e.g., spouses). To date, research in this area has used traditional behavioral genetic frameworks to either partition the variance in relationship-related outcomes into genetic and environmental components, or to examine gene-environment interplay between relationship factors and other outcomes. However, this conventional approach is at odds with the long-standing understanding from the field of relationship science that both partners' characteristics matter when predicting shared outcomes-that is, outcomes that are emergent. We examine briefly the philosophical concept of emergence, and discuss ways to model dyadic outcomes in genetically informed relationships research. We also review the related topic of social genetic effects, which refer to the influence of a social partner's genotype on a proband's phenotype. A genetically informed dyadic perspective has potentially important consequences for our understanding of the pathways from genotype→shared or individual-level phenotypes, and more fully recognizes the complexity of how genetic and social/environmental factors come together to influence human behavior.

Genetics, Behavioral↗
PubMed1979

Statistical and other data-analytic techniques for the evaluation researcher: an identification, classification, and description of methods and resources.

The goal of any social/health intervention program is to improve the lot of the people it is designed to serve. Of critical importance is the development and implementation of programs able to achieve such a goal is evaluation research (ER)--a process representing an interface between the generic notion of evaluation and the rigor of social research methodology. The evaluation researcher should be familiar with, and be capable of using, any of a number of (statistical and non-statistical) data-analytic techniques. The objectives of this discussion, therefore, are to (1) identify, categorize, and briefly describe statistical and other data-analytic techniques of potential use to the evaluation researchers; and (2) identify currently available resources, i.e., texts, books of readings, monographs, etc., that offer discussions and analyses of these techniques. It is hoped that such an exposition will lead to a wider understanding, acceptance, and use of these procedures, which can only enhance the quality of subsequent program policy- and decisionmaking.

Analysis of Variance↗
PubMed2026

Artificial Intelligence for Colorectal Surgeons-Part II: Research Applications, Challenges in Adoption, and Practical Resources.

BACKGROUND: This is part II of a 2-part series examining artificial intelligence in colorectal surgery. Part I established foundational concepts and clinical applications. Implementation, however, requires understanding research methodologies, available resources, and the specific challenges currently limiting widespread adoption. These topics are the focus of part II. OBJECTIVE: To examine artificial intelligence's transformation of surgical research, provide practical implementation resources, address adoption challenges, and explore future directions in colorectal surgery. METHODS: Comprehensive literature review focusing on artificial intelligence research methodology, implementation barriers, educational resources, and emerging technologies relevant to colorectal surgeons. RESULTS: Artificial intelligence streamlines clinical trial design through predictive modeling and natural language processing, reducing enrollment challenges that contribute to failed or inadequate trial accrual. Machine learning enables heterogeneity analysis within clinical trials, identifying treatment-responsive subgroups. Foundation models unlock analysis of unstructured electronic health record data at scale. Professional societies and universities offer specialized artificial intelligence education programs, with open-access data sets facilitating research participation. However, implementation faces multifaceted challenges: technical infrastructure demands, with real-time processing requiring dedicated graphics processing unit clusters; regulatory frameworks struggling with continuously evolving algorithms; undefined liability distribution for artificial intelligence-assisted decisions; algorithmic bias risking health care disparities; and the "black box" problem limiting clinical trust. Economic barriers include substantial initial costs without clear reimbursement pathways. Future directions include multimodal artificial intelligence integrating imaging, genomics, and histopathology; cognitive robotic systems with real-time decision support; digital twin technology for patient-specific surgical simulation; and global surgical artificial intelligence networks enabling distributed learning across institutions. CONCLUSIONS: Although artificial intelligence offers transformative potential for colorectal surgery research and practice, successful implementation requires addressing technical, regulatory, ethical, and economic challenges. The surgeon's evolving role demands both traditional expertise and computational fluency. Future advances in multimodal integration, autonomous systems, and global collaboration will fundamentally reshape surgical practice but will require thoughtful implementation prioritizing patient benefit and clinical value.

Humans↗
PubMed1978

Pitfalls and prospects in clinical research on antianxiety drugs: benzodiazepines and placebo--a research review.

The research methodology of 78 double-blind studies comparing benzodiazepines and placebo in treating neurotic anxiety is critically reviewed. Many faults are noted in areas of subject selection, assessment of clinical response, study design and data analysis. Although 56.4% of the studies reviewed had results demonstrating a significant difference in clinical response between benzodiazepines and placebo, the frequent methodologic difficulties and inconsistent results from study to study lead the authors to question the efficacy of these drugs as a treatment for anxiety. A need for better designed studies is discussed and some research methodologies proposed.

Anti-Anxiety Agents↗