Validation of a manual of care plans for people hospitalized with COVID‐19

Aguña, Alexandra González; Batalla, Marta Fernández; Rodríguez, Javier Díaz-Tendero; Bravo, Juan Antonio Sarrión; Diego, Blanca Gonzalo de; García, José María Santamaría

doi:10.1002/nop2.900

Cited by 8 publications

(12 citation statements)

References 44 publications

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“…In addition, each recommendation included a section so that the experts could add comments in free text on aspects such as the reason for their score or suggestions for changes in the wording. This 5-point rating scale was the same as that for nursing outcomes classification (NOC) used in previous similar studies [ 34 ].…”

Section: Methodsmentioning

confidence: 99%

“…The CVI is the result of dividing the number of positive responses (4 or 5 points on the Likert scale) by the total number of responses. Previous research references established the cut in different ratings [ 34 , 35 , 36 , 37 ]. For this study, the interpretation of the result was divided into three categories: <0.50 = “Not approved”, 0.50–0.80 = “Approved”, and >0.80 = “Approved with high validation”.…”

Section: Methodsmentioning

confidence: 99%

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Care Recommendations for the Chronic Risk of COVID-19: Nursing Intervention for Behaviour Changes

Aguña

Batalla

Diego

et al. 2022

IJERPH

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The COVID-19 pandemic is a challenge for health systems. The absence of prior evidence makes it difficult to disseminate consensual care recommendations. However, lifestyle adaptation is key to controlling the pandemic. In light of this, nursing has its own model and language that allow these recommendations to be combined from global and person-centred perspectives. The purpose of the study is to design a population-oriented care recommendation guide for COVID-19. The methodology uses a group of experts who provide classified recommendations according to Gordon’s functional patterns, after which a technical team unifies them and returns them for validation through the content validity index (CVI). The experts send 1178 records representing 624 recommendations, which are unified into 258. In total, 246 recommendations (95.35%) are validated, 170 (65.89%) obtain high validation with CVI > 0.80, and 12 (4.65%) are not validated by CVI < 0.50. The mean CVI per pattern is 0.84 (0.70–0.93). These recommendations provide a general framework from a nursing care perspective. Each professional can use this guide to adapt the recommendations to each individual or community and thus measure the health impact. In the future, this guideline could be updated as more evidence becomes available.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Care Recommendations for the Chronic Risk of COVID-19: Nursing Intervention for Behaviour Changes

Aguña

Batalla

Diego

et al. 2022

IJERPH

Self Cite

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“…17,38,39 Although the present study focuses on the evaluation of the tool's usability, the knowledge base it uses has been evaluated in another research study where some nursing diagnoses were excluded. 22 Furthermore, the usability assessment could vary when conducting the study with the same knowledge base and standardized languages, but in other countries or with different end users.…”

Section: Discussionmentioning

confidence: 99%

“…The inference engine contains a total of 6930 combinations, of which only 327 (4.72%) are consistent-that is, they are part of the validated care plans. 22…”

Section: Nursing Care Plansmentioning

confidence: 99%

Usability Evaluation by Nurses of a Knowledge-Based System of Care Plans for People Hospitalized by COVID-19

Aguña

Batalla

Baelo

et al. 2021

CIN: Computers, Informatics, Nursing

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The aim of this study is to analyze the usability by nurses of the Knowledge-Based System "Diagnostics care for COVID-19." A convenience sample of 16 nurses was selected, among hospital workers and external experts. The group was divided into three subgroups intentionally to obtain different usability perspectives. Usability was evaluated by the System Usability Scale questionnaire. The participants completed the questionnaire on general usability, data inputs, and information output, after completing a minimum of 12 care plans. The first subgroup used real cases and the "think aloud" technique, the second simulated cases from the same hospital, and the third subgroup performed the external simulation. The highest scores were obtained in data inputs (94.38-97.50); and the lowest, in general usability (90.00-95.00). The subgroup of external experts scored the highest (93.13-95.63), and the first subgroup, which carried out real cases, gave the lowest score (90.00-94.38). The "think aloud" technique found an improvement in including more diagnoses and being able to carry out several plans for one person at the same time. The usability obtained was "excellent" in all subgroups and questionnaires, although the application showed limitations related to its characteristics imposed in the requirements specification.

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“…The Knowledge Model about Person Care integrates this perspective of analysing the person and their environment in order to subsequently analyse their clinical situation, possible health outcomes and the most appropriate interventions [ 8 ]. A triangulation analysis allows one to identify the main care needs and to monitor the evolution of health outcomes [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic

et al. 2023

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The COVID-19 crisis accelerated the adoption of technologies. Technological advancement is also expected in robotics applied to any sector, including in healthcare. The aim is to assess the professional perception of care robotics facing COVID-19. This study aimed to (1) select a tool for assessing different aspects of healthcare, (2) analyse the professional perception about the development, usefulness and helpfulness of technologies and robotics in the field of healthcare and (3) evaluate the correlation between the perceived helpfulness of care robotics and the selected tool. We implement five validated clinical tests which integrate 80 items about a person and their clinical situation. From the sample of 46 professionals, 95.65% affirmed that technology was moderately to completely useful for professional performance in the context of the pandemic, lowering to 67.39% when asked only about robotics; 93.48% stated that the inclusion of robotics in at least one health area affected by COVID-19 would have helped them. Finally, the variables extracted from clinical tests corresponded to the most relevant health areas as identified by the professionals. This research shows the potential of care robotics oriented towards healthcare from a care paradigm.

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Validation of a manual of care plans for people hospitalized with COVID‐19

Cited by 8 publications

References 44 publications

Care Recommendations for the Chronic Risk of COVID-19: Nursing Intervention for Behaviour Changes

Care Recommendations for the Chronic Risk of COVID-19: Nursing Intervention for Behaviour Changes

Usability Evaluation by Nurses of a Knowledge-Based System of Care Plans for People Hospitalized by COVID-19

Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic

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