PubMed Health⌕ Search

PubMed · 7486490

Critical pathways as a strategy for improving care: problems and potential.

Abstract

In an era of increasing competition in medical care, critical pathway guidelines have emerged as one of the most popular new initiatives intended to reduce costs while maintaining or even improving the quality of care. Developed primarily for high-volume hospital diagnoses, critical pathways display goals for patients and provide the corresponding ideal sequence and timing of staff actions for achieving those goals with optimal efficiency. Despite the rapid dissemination of critical pathway programs in hospitals throughout the United States, many uncertainties remain about their development, implementation, and evaluation. In addition, serious concerns have been raised about their effect on patient outcomes and satisfaction with care, physician autonomy, malpractice risks, and the teaching and research missions of many hospitals. Underlying these concerns is the absence of data from controlled trials to evaluate the effects of critical pathways. Physicians should understand the potential benefits and problems associated with critical pathways because physicians are increasingly being asked to provide leadership for pathway programs. Physicians and other health service investigators should also develop methods to study pathways in evolving health care settings. Although the promise of reduced costs and improved quality is enticing, the gaps in our knowledge about critical pathways are extensive; therefore, like any new health care technology, pathway programs should be fully evaluated in order to understand the conditions under which that promise may be fulfilled.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S D Pearson, D Goulart-Fisher, T H Lee. 1995-12-15. Critical pathways as a strategy for improving care: problems and potential.. https://doi.org/10.7326/0003-4819-123-12-199512150-00008

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Molecular heterochrony and the evolution of sociality in bumblebees (Bombus terrestris).

Sibling care is a hallmark of social insects, but its evolution remains challenging to explain at the molecular level. The hypothesis that sibling care evolved from ancestral maternal care in primitively eusocial insects has been elaborated to involve heterochronic changes in gene expression. This elaboration leads to the prediction that workers in these species will show patterns of gene expression more similar to foundress queens, who express maternal care behaviour, than to established queens engaged solely in reproductive behaviour. We tested this idea in bumblebees (Bombus terrestris) using a microarray platform with approximately 4500 genes. Unlike the wasp Polistes metricus, in which support for the above prediction has been obtained, we found that patterns of brain gene expression in foundress and queen bumblebees were more similar to each other than to workers. Comparisons of differentially expressed genes derived from this study and gene lists from microarray studies in Polistes and the honeybee Apis mellifera yielded a shared set of genes involved in the regulation of related social behaviours across independent eusocial lineages. Together, these results suggest that multiple independent evolutions of eusociality in the insects might have involved different evolutionary routes, but nevertheless involved some similarities at the molecular level.

Analysis of Variance↗

Confidence intervals for the standardized effect arising in the comparison of two normal populations.

Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results from several studies, so as to obtain a confidence interval for a representative standardized effect for all the studies. The methods are illustrated on a recent meta-analytic study of systolic blood pressure reduction during a weight reducing regime, as well as the classical Mumford data on psychological intervention and hospital length of stay.

Analysis of Variance↗