Mapping of Wound Infection Concepts

Wound infection is a serious health care complication. Standardized clinical terminologies could be leveraged to support the early identification of wound infection. The purpose of this study was to evaluate the representation of wound infection assessment and diagnosis concepts (N=26) in SNOMED CT and ICNP, using a synthesized procedural framework. A total of 13/26 (50%) assessment and diagnosis concepts had exact matches in SNOMED CT and 2/7 (29%) diagnosis concepts had exact matches in ICNP. This study demonstrated that the source concepts were moderately well represented in SNOMED CT and ICNP; however, further work is necessary to increase the representation of diagnostic infection types. The use of the framework facilitated a systematic, transparent, and repeatable mapping process, with opportunity to extend.

Development of ICNP-based inpatient falls prevention catalogue

OBJECTIVES

The International Council of Nurses supports the development of International Classification for Nursing Practice® (ICNP®) catalogues to support the construction of electronic health records and evidence-based practice. Such a catalogue is needed for inpatient falls.

METHODS

The ICNP®-Based Inpatient Fall-Prevention Catalogue ('The Catalogue') was developed following the six steps recommended by the International Council of Nurses: (1) identifying inpatient falls as a priority, (2) gathering relevant concepts from 10 international guidelines and comparing locally defined sets of fall-prevention terms, (3) mapping the concepts to the ICNP® terminology, (4) identifying new concepts, (5) conducting a clinical face validation with a 12-member panel and finalizing The Catalogue and (6) setting a strategy for dissemination. The high-level structure of the International Classification for Patient Safety was used as a theoretical framework.

RESULTS

Eighteen nursing care elements and 141 terms were identified. A local vocabulary set had 89 terms (63.1%) that all corresponded to the identified terms. The exact and post-coordination mapping rates to the ICNP® were 75% and 40.6% for assessment/diagnosis/outcomes and interventions, respectively. The 54 new terms corresponded to 52 primitive concepts. An external review of The Catalogue showed that it had adequate understandability and validity. However, one-third of assessments/diagnoses/outcomes and one-fourth of interventions were not found in a tertiary hospital practice.

CONCLUSION

A fall-prevention catalogue has been developed based on evidence and a theoretical framework and also clinically validated.

IMPLICATION FOR NURSING AND HEALTH POLICY

The Catalogue is a standardized interface terminology and content subset in any electronic health records system that can directly deliver evidence on fall prevention. It can also be used as an informatics tool to aggregate, analyse, interpret and compare nursing data worldwide.

Development of a subset of ICNP Nursing Diagnoses for the promotion of self-care in people with diabetes mellitus: a multi-center observational study

INTRODUCTION

Self-care is a key for people with diabetes mellitus (DM) to avoid severe complications and to maintain quality of life. Person-centered and accurate nursing care plans can help nurses to deliver effective self-care promotion interventions. Few studies focused on nursing diagnoses that are specific for diabetes self-care education, and none of them used the International Classification for Nursing Practice (ICNP). International Catalogues of ICNP nursing diagnoses are missing in this field.

AIMS

To identify the ICNP nursing diagnoses that are useful to promote self-care in people with DM; to describe the prevalence of ICNP nursing diagnoses in self-care of people with DM.

METHODS

A subset of 55 ICNP nursing diagnoses was developed based on the Middle Range Theory of Self-care of Chronic Illness, and most recent diabetes clinical guidelines. Then, the subset was tested through a multicenter cross-sectional design involving a consecutive sample of 170 adults with confirmed diagnosis of Type 1 or Type 2 DM. Data were collected by medical records, physical examinations and semi-structured interviews.

RESULTS

1343 nursing diagnoses were identified, with an average of 8 nursing diagnoses per patient. The 100% of the nursing diagnoses were described using the pre-developed subset. Overall, the five prevalent nursing diagnoses were: Body weight problem (56.4%), Non adherence to immunization regime (53.5%), Conflicting attitude toward dietary regime (41.7%), Impaired weight monitoring (39.4%), and Lack of knowledge about blood glucose diagnostic test result (32.3%). Nursing diagnoses by self-care maintenance, monitoring and management were also described.

CONCLUSIONS

A huge amount of nursing diagnoses was identified suggesting the need of intensive education. Clinicians and administrators can use this subset to improve the accuracy of the documentation of diabetes care. In Public Health, the subset can be used to assess the cost-effectiveness of diabetes healthcare services. Future research is needed to assess the effectiveness of this subset in settings that are different from the one where it was developed. Finally, this subset could be a starting point to develop and International ICNP Catalogue for diabetes care.

Developing a subset of ICNP nursing diagnoses for medical and surgical hospital settings, informed by an Italian nursing conceptual model: a multicenter cross-sectional study

BACKGROUND

The International Classification for Nursing Practice (ICNP) is designed to facilitate the expression of nursing diagnoses, interventions and outcomes. The development of the ICNP subsets may support nurses by providing appropriate terms for documenting nursing care. This project aimed to develop a subset of ICNP nursing diagnoses oriented by an Italian Nursing Conceptual Model (MPI) to describe nursing clinical data in medical and surgical acute hospital wards.

STUDY DESIGN

A subset of ICNP nursing diagnoses was developed based on a literature review and on an expert consensus. A cross-sectional study was conducted in three Northern Italian hospitals to empirically test the subset in target settings.

METHODS

In accordance with the guidelines adopted by the International Council of Nursing, the study followed the process for developing an ICNP subset. Twelve expert nurses from clinical settings and nursing education in surgical and medical care participated in a Delphi method to further validate the subset. A cross-mapping process has been implemented and the prevalence of diagnoses was described. Data were collected from healthcare documentation of admitted patients, including, retrospectively, nursing clinical data from the patients' admission date to the time of data collection.

RESULTS

Documentation from 476 admitted patients was analysed: 228 were from surgical and 248 from medical wards. 24,142 nursing diagnoses were detected consulting retrospectively each documentation. A total number of 21,401 nursing diagnoses (88%) were fully mapped by the ICNP subset.

CONCLUSION

Results showed a high capability of ICNP terminology to describe nursing care in acute medical and surgical areas in Italian hospitals. The identified subset of ICNP diagnoses could be a valuable way to support a computerized documentation system for hospitals using MPI and ICNP. Results could be used to start revising nursing education programs in order to introduce this nursing standardized terminology combining it with the nursing conceptual model in use.

Advanced Nursing Process quality: Comparing the International Classification for Nursing Practice (ICNP) with the NANDA-International (NANDA-I) and Nursing Interventions Classification (NIC)

AIMS AND OBJECTIVES

To assess the quality of the advanced nursing process in nursing documentation in two hospitals.

BACKGROUND

Various standardised terminologies are employed by nurses worldwide, whether for teaching, research or patient care. These systems can improve the quality of nursing records, enable care continuity, consistency in written communication and enhance safety for patients and providers alike.

DESIGN

Cross-sectional study.

METHODS

A total of 138 records from two facilities (69 records from each facility) were analysed, one using the NANDA-International and Nursing Interventions Classification terminology (Centre 1) and one the International Classification for Nursing Practice (Centre 2), by means of the Quality of Diagnoses, Interventions, and Outcomes instrument. Quality of Diagnoses, Interventions, and Outcomes scores range from 0-58 points. Nursing records were dated 2012-2013 for Centre 1 and 2010-2011 for Centre 2.

RESULTS

Centre 1 had a Quality of Diagnoses, Interventions, and Outcomes score of 35·46 (±6·45), whereas Centre 2 had a Quality of Diagnoses, Interventions, and Outcomes score of 31·72 (±4·62) (p < 0·001). Centre 2 had higher scores in the 'Nursing Diagnoses as Process' dimension, whereas in the 'Nursing Diagnoses as Product', 'Nursing Interventions' and 'Nursing Outcomes' dimensions, Centre 1 exhibited superior performance; acceptable reliability values were obtained for both centres, except for the 'Nursing Interventions' domain in Centre 1 and the 'Nursing Diagnoses as Process' and 'Nursing Diagnoses as Product' domains in Centre 2.

CONCLUSION

The quality of nursing documentation was superior at Centre 1, although both facilities demonstrated moderate scores considering the maximum potential score of 58 points. Reliability analyses showed satisfactory results for both standardised terminologies.

RELEVANCE TO CLINICAL PRACTICE

Nursing leaders should use a validated instrument to investigate the quality of nursing records after implementation of standardised terminologies.

Inter-terminology mapping of nursing problems

PURPOSE

The purpose of this study was to determine the degree of overlap between the International Classification for Nursing Practice (ICNP®) and the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT), with a specific focus on nursing problems, as a first step towards harmonization of content between the two terminologies.

METHODS

Work within this study was divided across two ICNP subsets. The first subset (n=238) was made up of ICNP diagnosis/outcome concepts that had been included in previous experimental mapping activities with Clinical Care Classification (CCC) and NANDA-International (NANDA-I). These ICNP concepts and their equivalent concepts within CCC and NANDA-I were used within the Unified Medical Language System (UMLS) framework to derive automatically candidate mappings to SNOMED-CT for validation by two reviewers. The second subset (n=565) included all other ICNP diagnosis/outcome concepts plus those concepts from the first subset where the candidate mappings were rejected. Mappings from the second subset to SNOMED-CT were manually identified independently by the same two reviewers. Differences between the reviewers were resolved through discussion. The observed agreement between the two reviewers was calculated along with the inter-rater reliability using Cohen's Kappa (κ).

RESULTS

For the first semi-automated mapping, according to the two reviewers the great majority of ICNP concepts (91.6%) correctly mapped to SNOMED-CT in UMLS. There was a good level of agreement between the reviewers in this part of the exercise (κ=0.7). For the second manual mapping, nearly two-thirds of ICNP concepts (61.4%) could not be mapped to any SNOMED-CT concept. There was only a moderate level of agreement between the reviewers (κ=0.45). While most of the mappings were one-to-one mappings, there were ambiguities in both terminologies which led to difficulties. The absence of mappings was due to a large extent to differences in content coverage, although lexical variations and semantic differences also played a part.

CONCLUSIONS

This study demonstrated a degree of overlap between ICNP and SNOMED-CT; it also identified significant differences in content coverage. The results from the semi-automated mapping were encouraging, particularly for 'older' ICNP content. The results from the manual mapping were less favorable suggesting a need for further enhancement of both terminologies, content development within SNOMED-CT and further research on mechanisms for harmonization.

Exploring the Possibility of Information Sharing between the Medical and Nursing Domains by Mapping Medical Records to SNOMED CT and ICNP

Objectives

The purpose of this study is to explore possibility of information sharing between the medical and nursing domains.

Methods

Narrative medical records of 281 hospitalization days of 36 gastrectomy patients were decomposed into single-meaning statements. These single-meaning statements were combined into unique statements by removing semantically redundant statements. Concepts from the statements describing patients' problem and medical procedures were mapped to Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and International Classification for Nursing Practice (ICNP) concepts.

Results

A total 4,717 single-meaning statements were collected and these single-meaning statements were combined into 858 unique statements. Out of 677 unique statements describing patients' problems and medical procedures, about 85.5% statements were fully mapped to SNOMED CT. The remaining statements were partially mapped. In the mapping to the ICNP concepts, 17.4% of unique statements were fully mapped, 62.8% were partially mapped, and 19.8% were not mapped. About 32.3% of 705 concepts extracted from the statements were mapped to both SNOMED CT and ICNP concepts.

Conclusions

These mapping results suggest that physicians' narrative medical records can be structured and can be used for electronic medical record system, and also it is possible for medicine and nursing to share patient care information.