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PubMed2026

Identification of molecular subtypes in clear cell renal cell carcinoma based on chromatin regulators and tumor immune microenvironment profiling.

In the histological classification of renal cell carcinoma, clear cell renal cell carcinoma (ccRCC) accounts for the highest proportion and is the most common subtype. Despite advances in management, it continues to be associated with considerable incidence and mortality. Although surgery and systemic therapies are available, their efficacy is constrained by pronounced intratumoral heterogeneity and treatment resistance. Identifying robust biomarkers and clarifying the underlying biological mechanisms are therefore essential to improving diagnosis, risk stratification and therapeutic decision-making. In this work, we identified two ccRCC molecular subtypes displaying divergent chromatin regulator (CR) profiles and different clinical prognoses. Using the genes differentially expressed between these subgroups, we constructed a CR-related score (CRS) that effectively stratified patients according to survival. More analysis concluded that the low expression of CR was more linked with the immune-activated tumors, which encompassed the immune pathway enrichment, as well as the elevation of numerous immune cell subtypes. Moreover, elevated CRS was associated with improved immunotherapy responsiveness. Drug-sensitivity analyses nominated several candidate agents, and SMARCD3 knockdown in 786-O cells inhibited proliferation and migration and reduced sensitivity to masitinib. Collectively, these findings support the prognostic and therapeutic relevance of CR-related states in ccRCC and provide a framework for future experimental validation of chromatin-regulated tumor-immune interactions.

Humans↗

PubMed1999

Statistical aspects of genetic mapping in autopolyploids.

Many plant species of agriculture importance are polyploid, having more than two copies of each chromosome per cell. In this paper, we describe statistical methods for genetic map construction in autopolyploid species with particular reference to the use of molecular markers. The first step is to determine the dosage of each DNA fragment (electrophoretic band) from its segregation ratio. Fragments present in a single dose can be used to construct framework maps for individual chromosomes. Fragments present in multiple doses can often be used to link the single chromosome maps into homologous groups and provide additional ordering information. Marker phenotype probabilities were calculated for pairs of markers arranged in different configurations among the homologous chromosomes. These probabilities were used to compute a maximum likelihood estimator of the recombination fraction between pairs of markers. A likelihood ratio test for linkage of multidose markers was derived. The information provided by each configuration and power and sample size considerations are also discussed. A set of 294 RFLP markers scored on 90 plants of the species Saccharum spontaneum L. was used to illustrate the construction of an autopolyploid map. Previous studies conducted on the same data revealed that this species of sugar cane is an autooctaploid with 64 chromosomes arranged into eight homologous groups. The methodology described permitted consolidation of 54 linkage groups into ten homologous groups.

Chromosomes↗

PubMed2002

Genetic diversity and relationships of Campylobacter species and subspecies.

The existence of tremendous genetic diversity within Campylobacter species has been well documented. To analyse the population structure of Campylobacter and determine whether or not a clonal population structure could be detected, genetic diversity was assessed within the genus Campylobacter by multilocus enzyme electrophoresis of 156 isolates representing 11 species and subspecies from disparate sources. Analyses of electrophoretic mobility of 11 enzymes revealed 109 electrophoretic types (ETs) and 118 ETs when nulls were counted as an allele. Cluster analysis placed most ETs into groups that correlated with species. With nulls counted as alleles, 19 ETs were identified among 33 isolates of Campylobacter lari, 31 ETs among 34 isolates of Campylobacter coli and 43 ETs among 59 isolates of Campylobacter jejuni subsp. jejuni. Nine C. jejuni subsp. jejuni isolates, confirmed as this species by DNA-DNA hybridization, were hippuricase-negative. Reported linkage analyses were done with nulls ignored. Scores for mean genetic diversity (H) were high for the total population (mean H = 0.802). Allelic mismatch-frequency distributions and allelic tracing pointed to possible genetic exchange between subpopulations. C. lari appears to be a panmictic species. Some pairs of species shared multiple alleles of certain loci, possibly indicating genetic exchange between species. Of the species tested, C. jejuni appeared to be the most active in sharing alleles. However, there was evidence of variable involvement in recombination by the different loci. Linkage analysis of loci in C. jejuni and C. coli revealed a clonal framework, with some loci tightly linked to each other. The loci appeared to occur in linkage groups or islands. Campylobacter may have a clonal framework with other portions of the genome involved in frequent recombination. Population genetic structure among Campylobacter is inconclusive and it remains to be seen if pathogenic types can be identified.

Alleles↗

PubMed2026

Trustworthy Agentic AI in Bioinformatics: From Workflow Automation to Traceable and Validated Biological Inference.

Agentic artificial intelligence is extending bioinformatics beyond conversational assistance by enabling systems to select tools, execute code, revise analytical plans, and interpret biological data. These capabilities may accelerate research, but they also redistribute decisions that determine whether biological conclusions are valid. We conducted a targeted, structured PubMed search in July 2026 and identified 11 peer-reviewed agentic bioinformatics systems for descriptive review based on predefined eligibility criteria for analytical decision-making, tool or code execution, iterative evaluation, or coordinated agent activity. The evidence base covered single-cell transcriptomics, microbial genomics, cancer genomics, and omics applications, together with methodological literature on reproducibility and biological validation. We examined how current systems report delegated authority, provenance, validation, evidence, abstention, and human oversight. Existing platforms implement safeguards such as sandboxed execution, restricted commands, interaction logs, evidence identifiers, automated checks, critic agents, quality scores, and expert assessment. However, published reports rarely provide a connected account linking the original biological question to samples, reference resources, analytical decisions, computational actions, statistical results, supporting evidence, validation outcomes, and final claims. We distinguish inherited bioinformatics errors, errors amplified through autonomous action, and emergent failures arising from memory, retrieval, tool interaction, or agent coordination. We further propose a multidimensional decision-rights profile, consequence-sensitive validation gates, and a claim-to-evidence provenance architecture organized through the Traceable History of Research Evidence, Agent Actions, and Decisions in Bioinformatics (THREAD-Bio) framework. Illustrative cases show that technically successful execution may still support misleading inference. Trustworthy agentic bioinformatics therefore requires claims to remain reconstructible, challengeable, validated, and proportionate to the evidence.

accountable autonomy↗

PubMed1999

Construction of an AFLP genetic map with nearly complete genome coverage in Pinus taeda.

De novo construction of complete genetic linkage maps requires large mapping populations, large numbers of genetic markers, and efficient algorithms for ordering markers and evaluating order confidence. We constructed a complete genetic map of an individual loblolly pine (Pinus taeda L.) using amplified fragment length polymorphism (AFLP) markers segregating in haploid megagametophytes and PGRI mapping software. We generated 521 polymorphic fragments from 21 AFLP primer pairs. A total of 508 fragments mapped to 12 linkage groups, which is equal to the Pinus haploid chromosome number. Bootstrap locus order matrices and recombination matrices generated by PGRI were used to select 184 framework markers that could be ordered confidently. Order support was also evaluated using log likelihood criteria in MAPMAKER. Optimal marker orders from PGRI and MAPMAKER were identical, but the implied reliability of orders differed greatly. The framework map provides nearly complete coverage of the genome, estimated at approximately 1700 cM in length using a modified estimator. This map should provide a useful framework for merging existing loblolly pine maps and adding multiallelic markers as they become available. Map coverage with dominant markers in both linkage phases will make the map useful for subsequent quantitative trait locus mapping in families derived by self-pollination.

Chromosome Mapping↗

PubMed2005

A baseline-free procedure for transformation models under interval censorship.

An important property of Cox regression model is that the estimation of regression parameters using the partial likelihood procedure does not depend on its baseline survival function. We call such a procedure baseline-free. Using marginal likelihood, we show that an baseline-free procedure can be derived for a class of general transformation models under interval censoring framework. The baseline-free procedure results a simplified and stable computation algorithm for some complicated and important semiparametric models, such as frailty models and heteroscedastic hazard/rank regression models, where the estimation procedures so far available involve estimation of the infinite dimensional baseline function. A detailed computational algorithm using Markov Chain Monte Carlo stochastic approximation is presented. The proposed procedure is demonstrated through extensive simulation studies, showing the validity of asymptotic consistency and normality. We also illustrate the procedure with a real data set from a study of breast cancer. A heuristic argument showing that the score function is a mean zero martingale is provided.

Algorithms↗

PubMed2026

EscaPRRS-ORF5: a structure-aware evolutionary framework for prioritizing immune escape-prone variants in porcine reproductive and respiratory syndrome virus.

MOTIVATION: Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) is a rapidly evolving RNA virus causing significant economic losses, posing a formidable challenge to vaccine efficacy due to its high mutational variability and immune escape. As the viral mutants evolve, their ability to sustain in population is driven by a range of host biology factors such as receptor binding, fusion, and uncoating. Existing tools that predict viral fitness and escape propensities rely heavily on extensive, up-to-date sequence data and lack integration of biochemical host interactions, limiting mechanistic understanding of the mutational landscape. We introduce Esca, a sequence-only toolchain framework that identifies immune escape-prone residues by exhaustively scanning each residue position for all amino acid substitutions using a Bayesian Variational Autoencoder (VAE) trained on protein language model embeddings. We demonstrate Esca on the GP5(ORF5) glycoprotein of PRRSV (EscaPRRS-ORF5) by training on ESM-2 embeddings of 32 146 GP5 sequences (2015-2022) spanning 140 sub-lineages. RESULTS: Despite being trained only on GP5 sequence data, EscaPRRS-ORF5 recovered 85.7% of the surface-exposed receptor binding interfaces as escape-prone regions. We use a mutation-sensitive fitness scoring scheme that goes beyond Hamming distances, to predict antibody escape tendencies, supporting surveillance of (re) emerging PRRSV variants. We do not claim that ORF5 alone captures PRRSV evolution or serves as a surveillance endpoint; rather, Esca offers a scalable path toward whole-genome, structure-aware surveillance. AVAILABILITY AND IMPLEMENTATION: EscaPRRS-ORF5 is freely available at https://doi.org/10.6084/m9.figshare.32661033 with an interactive Colab notebook at https://colab.research.google.com/drive/1TEgzAhPwvNAZ01VXeJbIFibfri2jnDA5? usp=sharing.

Porcine respiratory and reproductive syndrome viru↗

PubMed1999

Dissociation in temporal lobe epilepsy and pseudo-epileptic seizure patients.

Patients with epileptic seizures (ES) and especially those with temporal lobe epilepsy (TLE) share many symptoms with patients with pseudo-epileptic seizures (PES), and the differentiation between them is often difficult There is growing evidence that a subgroup of PES patients suffer from a dissociative disorder. It is recognized that dissociative symptoms pertain to both psychological and somatoform components of experience. Questionnaires assessing dissociation might provide positive criteria for the diagnosis of PES. In this study, the Dissociation Questionnaire (DIS-Q) and the Somatoform Dissociation Questionnaire (SDQ-20) were administered to patients with ES (TLE, non-TLE) and PES. To control for the influence of general psychoneurotic complaints, the SCL-90 was administered. Apart from this, answers on a trauma questionnaire were related to the diagnosis. Results showed that PES patients scored significantly higher on the SDQ-20, also after correction with the SCL-90, and no difference was found on the DIS-Q. Also, PES patients significantly more often reported sexual traumatic experiences. A logistic regression revealed that results on the SDQ-20 have no independent value in addition to the contribution of gender, age, age at seizure onset, and the presence of sexual abuse in the prediction of the diagnosis. In conclusion, somatoform and not psychological dissociative symptoms are characteristic for PES patients in comparison to ES patients. Other measures are needed within the framework of the differential diagnosis between PES and ES.

Adolescent↗

PubMedDate not supplied

Principal components analysis of an evaluation of the hemiplegic subject based on the Bobath approach.

An evaluation based on the Bobath approach to treatment has previously been developed and partially validated. The purpose of the present study was to verify the content validity of this evaluation with the use of a statistical approach known as principal components analysis. Thirty-eight hemiplegic subjects participated in the study. Analysis of the scores on each of six parameters (sensorium, active movements, muscle tone, reflex activity, postural reactions, and pain) was evaluated on three occasions across a 2-month period. Each time this produced three factors that contained 70% of the variation in the data set. The first component mainly reflected variations in mobility, the second mainly variations in muscle tone, and the third mainly variations in sensorium and pain. The results of such exploratory analysis highlight the fact that some of the parameters are not only important but also interrelated. These results seem to partially support the conceptual framework substantiating the Bobath approach to treatment.

Cerebrovascular Disorders↗

PubMed2005

Using the State Plan Index to evaluate the quality of state plans to prevent obesity and other chronic diseases.

INTRODUCTION: Implicit in public health planning models is the assumption that good public health plans lead to good programs, and good programs lead to desired health outcomes. Despite considerable resources that are devoted to developing plans, public health agencies and organizations have lacked a tool for evaluating the finished product of their planning efforts -- the written plan itself -- as an important indicator of progress. To address the need for an instrument to assess the quality of state plans designed to prevent and control chronic diseases, we created and tested the State Plan Index and used it to evaluate the quality of nine state plans aimed at preventing and reducing obesity. METHODS: The State Plan Index was developed under the auspices of the Centers for Disease Control and Prevention (CDC) in collaboration with public health experts in federal, state, and academic settings. The State Plan Index included 55 items related to plan quality arranged into nine components. Each item was rated on a Likert scale from 0 to 5, with 5 being the highest rating. Each plan also received a separate overall plan quality score using the same scale. Each state plan was evaluated by four or five raters using the State Plan Index. For each plan, the 55 items were averaged to calculate an item average score, and a subscore was calculated for each State Plan Index component. Finally, five states also self-rated their own plans (self score). RESULTS: The mean item average score for all plans was 2.4 out of 5.0. The range of item average scores was 1.0 to 3.0. The component of the State Plan Index with the highest mean component score (3.3) was Presentation of Epidemiologic Data on Disease Burden. The components with the lowest component scores were Resources for Plan Implementation (0.7); Integration of Obesity Efforts with Other Chronic Disease Efforts (1.7); and Program Evaluation (2.0). Plan quality was rated higher when based on the single overall plan quality score assigned by raters. In addition, self scores were consistently and substantially higher than rater-assigned scores. CONCLUSION: Evaluation of plans early in the life of programs can be used to strengthen existing programs and to guide programs newly engaged in chronic disease prevention planning. The CDC has used the State Plan Index evaluation results to guide technical assistance, plan training sessions, and enhance communication with state staff about plan content, quality, and public health approach. Some state program directors self-evaluated their obesity draft plan and used the evaluation results to strengthen their planning process and to guide plan revisions. Other states have adapted the State Plan Index as a framework for new planning efforts to prevent obesity as well as other chronic diseases.

Centers for Disease Control and Prevention, U.S.↗

PubMed1996

Quality of primary health care in developing countries: recent experiences and future directions.

Assessing and improving the quality of health care was, until recently, a low priority, both for policy makers in developing countries, and for technical agencies. The authors review the reasons for this long neglect of quality of care, which include: (i) a perceived priority of extending coverage at the expense of quality; (ii) the view that quality is difficult to assess in the absence of reliable documentation and health information systems; and (iii) the perception that improving quality is tantamount to increasing inputs, thus costly and not affordable for many countries. The authors strongly suggest that focusing on improving the process of care through quality assurance (QA) is the most promising avenue to improved quality of care in these countries. They review the current state of the art of QA in developing countries and formulate some policy suggestions: they call for a national commitment and leadership that provides a legal and institutional framework for QA and supports QA teams in the areas of setting professional standards, training, supervision, and information. The authors stress that the focus on process should not lead to a neglect of improving inputs. We conclude by suggesting future research in four broad areas: (i) development, testing and evaluation of new ways to implement QA through operational research; (ii) the links between process as well as inputs and outcomes; (iii) the relationship between quality and other health system variables, such as demand, costs, revenues and equity; and (iv) development of comprehensive quality indicators based on a score of process, input and outcome variables that allow researchers and policy makers to compare quality across time, space and different types of care providers.

Developing Countries↗

PubMed2003

Variability in asthma care and services for low-income populations among practice sites in managed Medicaid systems.

OBJECTIVE: To characterize and describe variability in processes of asthma care and services tailored for low-income populations in practice sites participating in Medicaid managed care (MMC). STUDY SETTING: Eighty-five practice sites affiliated with five not-for-profit organizations participating in managed Medicaid (three group-model health maintenance organizations [HMOs] and two Medicaid managed care organizations [MCOs]). STUDY DESIGN/DATA COLLECTION: We conducted a mail survey of managed care practice site informants using a conceptual model that included chronic illness care and services targeting low-income populations. The survey asked how frequently a number of processes related to asthma care occurred at the practice sites (on a scale from "never" to "always"). We report mean and standard deviations of item scores and rankings relative to other items. We used within-MCO intraclass correlations to assess how consistent responses were among practice sites in the same MCO. PRINCIPAL FINDINGS: Processes of care related to asthma varied gready in how often practice sites reported doing them, with information systems and self-management support services ranking lowest. There was also significant variation in the availability of services targeting low-income populations, specifically relating to cultural diversity, communication, and enrollee empowerment. Very little of the site-to-site variation was attributable to the MCO. CONCLUSIONS: Our conceptual framework provides a means of assessing the provision of chronic illness care for vulnerable populations. There is room for improvement in provision of chronic asthma care for children in managed Medicaid, particularly in the areas of self-management support and information systems. The lack of consistency within MCOs on many processes of care suggests that care may be driven more at the practice site level than the MCO level, which has implications for quality improvement efforts.

Asthma↗

PubMed2004

Randomized clinical trial of the effectiveness of a self-care intervention to improve cancer pain management.

PURPOSE: This randomized clinical trial tested the effectiveness of the PRO-SELF Pain Control Program compared with standard care in decreasing pain intensity scores, increasing appropriate analgesic prescriptions, and increasing analgesic intake in oncology outpatients with pain from bone metastasis. PATIENTS AND METHODS: Patients were randomly assigned to the PRO-SELF intervention (n = 93) or standard care (n = 81). Patients in the standard care arm were seen by a research nurse three times and were called three times by phone between the home visits. PRO-SELF group patients were seen by specially trained intervention nurses and received a psychoeducational intervention, were taught how to use a pillbox, and were given written instructions on how to communicate with their physician about unrelieved pain and the need for changes in their analgesic prescriptions. Patients were coached during two follow-up home visits and three phone calls on how to improve their cancer pain management. RESULTS: Pain intensity scores decreased significantly from baseline (all P <.0001) in the PRO-SELF group (ie, least pain, 28.4%; average pain, 32.5%; and worst pain, 27.0%) compared with the standard care group (ie, least increased by 14.6%, average increased by 1.9%, and worst decreased by 1.2%). The percentage of patients in the PRO-SELF group with the most appropriate type of analgesic prescription increased significantly from 28.3% to 37.0% (P =.008) compared with a change from 29.6% to 32.5% in the standard care group. CONCLUSION: The use of a psychoeducational intervention that incorporates nurse coaching within the framework of self-care can improve the management of cancer pain.

Aged↗

PubMed1987

An investigation into problem solving in education: a problem-solving curricular framework.

The purpose of this study was to examine how two aspects of teaching, mastery of content and problem solving, could be linked in a curricular framework. A professional educational program in physical therapy which had been developed to teach both content and problem solving was evaluated. The subjects for the study were 81 students in a baccalaureate program in a Midwestern medical school who participated in this problem-solving curriculum. The primary assessment instrument used was the Watson-Glaser Critical Thinking Appraisal. Findings indicated that performance on a test of critical thinking was affected by the curriculum. Regression analysis indicated that one course designed as an introduction to problem solving was significantly related to changes in problem-solving skill scores. Although significant change in the test scores did occur, these changes were not evident until the completion of the year-long program. Differing effects for lecture and field experience (or patient care) courses were not observed, and traditional measures such as grade point averages had no statistical relationship to problem-solving skill scores.

Adolescent↗

PubMed1997

Effect of attitudes and subjective norms on intention to provide oral care to patients receiving antineoplastic chemotherapy.

The Theory of Reasoned Action (TRA) served as the conceptual framework for this study, which was designed to examine the effect of attitudes and subjective norms on intention to provide oral care for patients receiving chemotherapy. The sample, stratified by type of health care facility, consisted of staff nurses (N = 85) who work in oncology settings in New York State. Data were collected by sending 10 questionnaires to a designee at the randomly chosen facility. Both attitudes and subjective norms were significant predictors of behavioral intention, predicting 39% of the variance. Using the strategy devised by Laschinger and Goldenberg, the sample was divided into two groups: those that scored below the mean on behavioral intention (nonintenders) and those above the mean (intenders). Nonintenders scored significantly lower on attitudes and subjective norms than intenders. The TRA was not supported when examining the data of the nonintenders, whereas for the intenders the theory did operate as designed, predicting 23% of the variance in behavioral intention.

Administration, Oral↗

PubMed2005

Probabilistic annotation of protein sequences based on functional classifications.

BACKGROUND: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. This mode of protein function assignment is mostly based on the detection of sequence similarity and the premise that functional properties are conserved during evolution. Most automatic approaches developed to date rely on the identification of clusters of homologous proteins and the mapping of new proteins onto these clusters, which are expected to share functional characteristics. RESULTS: Here, we inverse the logic of this process, by considering the mapping of sequences directly to a functional classification instead of mapping functions to a sequence clustering. In this mode, the starting point is a database of labelled proteins according to a functional classification scheme, and the subsequent use of sequence similarity allows defining the membership of new proteins to these functional classes. In this framework, we define the Correspondence Indicators as measures of relationship between sequence and function and further formulate two Bayesian approaches to estimate the probability for a sequence of unknown function to belong to a functional class. This approach allows the parametrisation of different sequence search strategies and provides a direct measure of annotation error rates. We validate this approach with a database of enzymes labelled by their corresponding four-digit EC numbers and analyse specific cases. CONCLUSION: The performance of this method is significantly higher than the simple strategy consisting in transferring the annotation from the highest scoring BLAST match and is expected to find applications in automated functional annotation pipelines.

Algorithms↗

PubMed2026

Beyond the "cold" barrier: Redefining the clinical paradigm of immune checkpoint inhibitor therapy in ovarian cancer.

Ovarian cancer remains an immunologically "cold" tumor, with early all-comer immune checkpoint inhibitor (ICI) trials largely negative despite underlying immunogenicity. This review takes a clinician-centric, stage-specific view linking regimen choice, treatment line, and tumor-immune context to observed outcomes. In the neoadjuvant and first-line settings, unselected ICI combinations with chemotherapy and anti-angiogenic agents failed to improve progression-free survival, whereas adding a poly (ADP-ribose) polymerase (PARP) inhibitor to ICI maintenance yielded modest gains in biomarker-enriched cohorts. In recurrent disease, single-agent ICIs produced objective response rates of 8-15%, and most randomized combinations were negative. The phase III KEYNOTE-B96 trial in platinum-resistant disease demonstrated a progression-free survival benefit in the intention-to-treat population and an overall survival benefit in tumors with programmed death ligand 1 (PD-L1) combined positive score ≥ 1 when pembrolizumab was paired with weekly paclitaxel with or without bevacizumab, underscoring the value of an immunomodulatory chemotherapy backbone in earlier lines. Ovarian clear cell carcinoma emerges as an immunotherapy-sensitive, chemo-resistant subtype that warrants dedicated stratification. We explain why single-analyte biomarkers-PD-L1, tumor mutational burden, homologous recombination deficiency/BRCA1/2-have not reliably enriched benefit and outline a multidimensional approach integrating genomic scars (e.g., mutational signature 3), immune functional state (Immunoscore, CD8⁺ tumor-infiltrating lymphocyte density and CD8⁺: regulatory T-cell ratio), and spatial architecture (inflamed, excluded, desert phenotypes). This framework aims to move beyond the all-comer era toward context-informed precision immunotherapy in ovarian cancer.

Humans↗

PubMed2005

Cultural competence among nursing students and faculty.

Healthcare consumers are entitled to culturally competent care. Therefore, nursing curricula need to include cultural content and student nurses and faculty members need to be culturally competent. The purpose of the study was to describe cultural competence of students and faculty at a college of nursing and to discuss the implications for nursing curricula related to cultural competence. Campinha-Bacote's model (Campinha-Bacote, J., 1994. Cultural competence in psychiatric mental health nursing. Nursing Clinics of North America 29 (1), 1-8.) of culturally competent care provided the theoretical framework. The Inventory for Assessing the Process of Cultural Competence (IAPCC) (Campinha-Bacote, J., 1998. The Process of Cultural Competence in the Delivery of Healthcare Services: A Culturally Competent Model of Care. Transcultural C.A.R.E. Associates, Cincinnati, OH. Available from: .) was used to measure levels of self-reported cultural competence. A convenience sample of 88 first year, 121 fourth year baccalaureate students and 51 faculty members at a college of nursing was studied. Analysis of variance revealed a statistically significant difference (F=43.915, df=259, p<.0001) between the three groups. A positive correlation was found between IAPCC scores and several demographic variables. Findings suggest that cultural competence can be increased by including structured cultural content in nursing curricula.

Adolescent↗