Mapping the Diagnosis Axis of an Interface Terminology to the NANDA International Taxonomy

Assessment of Standardized Care Plans for People with Chronic Diseases in Primary Care Settings

BACKGROUND

Aging populations are driving a shift in emphasis toward enhancing chronic disease care, reflected in Catalonia's regional plan which prioritizes standardized nursing care plans in primary care settings. To achieve this, the ARES-AP program was established with a focus on harmonizing standards and supporting routine nursing clinical decision-making. This study evaluates nurses' perceptions of ARES-AP's standardized care plans for chronic diseases.

METHODS

A mixed-methods approach based on an ad hoc questionnaire (n = 141) and a focus group (n = 14) was used. Quantitative data were statistically analysed, setting significance at p < 0.05. Qualitative data were explored via content analysis.

RESULTS

ARES-AP training was assessed positively. The resources for motivational interviewing and care plans for the most prevalent chronic diseases were rated very positively. This study identified key factors influencing program implementation, including facilitators such as structured information and nursing autonomy, barriers such as resistance to change, motivators such as managerial support, and suggested improvements such as technological improvements and time management strategies.

CONCLUSIONS

This study identifies areas for improvement in implementing standardized nursing care plans, including additional time, motivation, enhanced IT infrastructure, and collaboration among primary care professionals. It enhances understanding of these plans in primary care, especially in managing chronic diseases in aging populations. Further research should assess the program's long-term impact on chronic patients. This study was not registered.

Cross-mapping medical records to NANDA-I to identify nursing diagnoses in a vulnerable population

PURPOSE

To assess the association between vulnerable populations and nursing care needs, using NANDA-I diagnostics, in the population of the Canary Islands, Spain.

METHODS

Nursing social epidemiology study. Cross Mapping of Medical Records to NANDA-I to Identify Nursing Diagnoses in a Population usinga medical, epidemiological follow-up study of a cohort of 7,190 people. The level of vulnerability of the participants was assigned, among those who were also assigned nursing diagnoses, using the "ICE index" to calculate the expected associations.

FINDINGS

The most prevalent nursing diagnosis in our sample was Sedentary lifestyle (60.5%), followed by Ineffective health self-management (33.8%) and Risk-prone health behaviour (28.7%). Significant differences were found by sex, age group and social class, with the nursing diagnoses included in the study being more prevalent among the most socio-economically disadvantaged social class.

CONCLUSIONS

The cross-mapping method is useful to generate diagnostic information in terms of care needs, using the NANDA-I classification. The expected associations between high social vulnerability and care needs have been verified in a comprehensive and representative sample of the Canarian population (Spain).

IMPLICATIONS FOR NURSING PRACTICE

From an epidemiological perspective, identifying nursing diagnoses at the population level allows us to find the most prevalent needs in the different community groups and to focus appropriate nursing interventions for their implementation and impact assessment.

Nursing interventions for rehabilitation in Parkinson's disease: cross mapping of terms

Objective:

to perform a cross-term mapping of nursing language in the patient record with the Nursing Interventions Classification system, in rehabilitation patients with Parkinson's disease.

Method:

a documentary research study to perform cross mapping. A probabilistic, simple random sample composed of 67 records of patients with Parkinson's disease who participated in a rehabilitation program, between March of 2009 and April of 2013. The research was conducted in three stages, in which the nursing terms were mapped to natural language and crossed with the Nursing Interventions Classification.

Results:

a total of 1,077 standard interventions that, after crossing with the taxonomy and refinement performed by the experts, resulted in 32 interventions equivalent to the Nursing Interventions Classification (NIC) system. The NICs, "Education: The process of the disease.", "Contract with the patient", and "Facilitation of Learning" were present in 100% of the records. For these interventions, 40 activities were described, representing 13 activities by intervention.

Conclusion:

the cross mapping allowed for the identification of corresponding terms with the nursing interventions used every day in rehabilitation nursing, and compared them to the Nursing Interventions Classification.

Embedding Nursing Interventions into the World Health Organization's International Classification of Health Interventions (ICHI)

OBJECTIVE

The International Classification of Health Interventions, currently being developed, seeks to span all sectors of the health system. Our objective was to test the draft classification's coverage of interventions commonly delivered by nurses, and propose changes to improve the utility and reliability of the classification for aggregating and analyzing data on nursing interventions.

MATERIALS AND METHODS

A 2-phase content mapping method was used: (1) three coders independently applied the classification to a dataset comprising 100 high-frequency nursing interventions; (2) the coders reached consensus for each intervention and identified reasons for initial discrepancies.

RESULTS

A consensus code was found for 80 of the 100 source terms; for 34% of these, the code was semantically equivalent to the source term, and for 64% it was broader. Issues that contributed to discrepancies in Phase 1 coding results included concepts in source terms not captured by the classification, ambiguities in source terms, and uncertainty of semantic matching between "action" concepts in source terms and classification codes.

DISCUSSION

While the classification generally provides good coverage of nursing interventions, there remain a number of content gaps and granularity issues. Further development of definitions and coding guidance is needed to ensure consistency of application.

CONCLUSION

This study has produced a set of proposals concerning changes needed to improve the classification. The novel method described here will inform future health terminology and classification content coverage studies.

Newborn physiological immaturity: a concept analysis

Background:

Most standardized nursing care plans for healthy neonates include multiple nursing diagnoses to reflect nurses' judgments on the infant's status; however scientific literature concerning this issue is scarce. Newborn physiological immaturity is a concept in the ATIC terminology (architecture, terminology, interface, information, nursing [infermeria], and knowledge [coneixement]) to represent the natural status of vulnerability of the healthy neonate.

Purpose:

To identify the essential attributes of the concept and provide its conceptual and operational definition, using the Wilsonian approach.

Findings:

The concept under analysis embeds a natural cluster of vulnerabilities and environmental interactions that enhance the evolving maturation process.

Implications for Practice:

The use of this diagnosis may simplify the process of charting the nursing care plans and reduce time needed for documentation while maintaining the integrity of the information.

Implications for Research:

Consistent development and use of nursing concepts is essential for knowledge building. Studies on the actual use of nursing diagnoses are needed to inform decision making.