1. Introduction
Aphasia is commonly defined as a loss or impairment of the complex process of interpreting language symbols caused by acquired brain damage [1]. Current definitions consider aphasia to be a multimodal cognitive disorder affecting not only listening comprehension, spoken language, and reading and writing, but also other cognitive processes dependent on the activity of the left cerebral hemisphere, such as auditory-verbal short-term memory and attention, which are indispensable for the proper functioning of language [2]. Cerebrovascular accidents (CVAs) are the most common cause of aphasia [3]. Other aetiological factors include traumatic brain injury (TBI), brain tumours, degenerative diseases, and nervous system infections (NSIs) [4]. Multicentre studies estimating the incidence of post-stroke aphasia carried out in countries such as Switzerland, Italy, Finland, Denmark, and Canada show an incidence of aphasia ranging from 18 to 38% [5,6,7,8]. Aphasia is a condition that generates multiple problems and care needs. A number of studies have shown that aphasia-related impairment or loss of the ability to use language has a considerable impact on quality of life, leading to difficulties in performing activities of daily living [9,10,11] while negatively affecting the individual perception of sufferers and, as a result, their physical, mental, emotional, family, and social functioning. Numerous authors argue that poor communication strategies in healthcare settings increase the impact of aphasia on the loss of personal identity [9,10,11,12,13], resulting in greater isolation and difficulties in accessing social support networks. There is evidence that nurses interacting with individuals with aphasia tend to control and lead the conversation by focusing on nursing tasks and only occasionally allow patients to start a conversation on a topic suited to their own interests and needs [14]. This asymmetric communicative relationship entails a loss of autonomy that makes it difficult for patients to participate in their own care, generating feelings of frustration, fear, and despondency [15,16]. The complexity of aphasia requires multidisciplinary and interdisciplinary interventions in which nurses play a fundamental role as care providers [17]. The quality of nursing care largely depends on proper assessment of patients’ needs. As the first stage in the nursing process, assessment is key to ensuring an accurate diagnosis and a care plan tailored to individual needs. Nursing care is provided in a wide variety of contexts. This makes it necessary for assessment tools to be tailor-made and validated for specific practice settings through tests conducted with the individuals receiving care [18].
Aphasia assessment has generally been the domain of disciplines such as neurology, psychology, linguistics, and speech therapy, and has been addressed from different models and approaches. Most aphasia assessment tests designed within these disciplines require specific expertise in these areas of knowledge. They are also often lengthy tests, constructed from numerous time-consuming subtests [19]. This makes these instruments impractical for use by nurses in their daily work.
Standardized nursing languages (SNLs) have been incorporated into the nursing process as instruments for standardising nursing practice. SNLs provide a useful basis for the development and construction of nursing assessment tools suited to different contexts of nursing practice [20,21]. The most widely used classifications of SNLs in Spain and abroad are: the NANDA-I classification of nursing diagnoses [22], the NOC classification of nursing outcomes [23], and the NIC classification of nursing interventions [24]. All three classifications have a far higher number of validation studies in their favor than other SNLs [25].
The NANDA-I classification of nursing diagnoses provides a way of classifying and categorising areas of nursing professional responsibility [22]. A nursing diagnosis is defined as a clinical judgement of a human response to a health condition or life process (or vulnerability to that response) of an individual, family, group, or community. Nursing diagnoses have a number of key components: a label reflecting the diagnostic focus and nursing judgement; a clear definition of the diagnosis; the defining characteristics of the diagnosis (as observable evidence or inferences grouped as manifestations of the diagnosis); related factors (aetiology, circumstances, events, and/or influences linked to the diagnosis); and risk factors (circumstances increasing the vulnerability of an individual, family, group, or community to suffer an unhealthy event, only present in risk diagnoses) [22,25]. The NANDA-I classification best meets the requirements for nursing diagnosis, as confirmed by several authors [26]. It has been translated into multiple languages and used by thousands of professionals to reflect the care issues underpinning their care work. In recent decades, it has been included in electronic health records as a language that meets the necessary quality standards for documenting nursing diagnoses in various institutions, health services, and organizations such as the Spanish Ministry of Health (Royal Decree 1093/2010 of 3 September) [18].
The NOC classification is intended to identify the outcome criteria and the degree to which these outcomes are achieved for each individual, family, and/or community, and can be used to assess nursing care throughout the entire nursing process [20]. The NOC classification has a taxonomical structure consisting of three levels: Domains, Classes, and Outcomes. It includes indicators for each of the outcomes and measurement scales. Nurse-sensitive patient outcomes are defined as the state, behavior, or perception of a person, family, or community that is measured along a continuum in response to one or more nursing interventions. Each outcome has a set of associated indicators that are used to determine the status of the patient in relation to the outcome [27].
The research hypothesis for this study is that the NANDA-I and NOC standardized nursing languages are useful for the construction of a nursing questionnaire assessing the main areas of language in individuals with aphasia.
The study objectives are as follows: to construct a questionnaire whose dimensions are based on defining characteristics (DCs) of the NANDA-I diagnoses and NOC outcome indicators relating to nurse-patient communication; to compile a bank of items to create the questionnaire; to conduct content validity and representativeness tests; and to assess the feasibility and applicability of the questionnaire obtained.
This instrument is intended to be useful for nurses to assess the main areas of language in individuals with aphasia in a simple manner. This could support effective nurse-patient interaction and care planning linked to activities of daily living and tailored to the ability of patients to communicate.
2. Materials and Methods
2.1. Design
This is a questionnaire construction and validation study for nurses to assess the ability to communicate among individuals with aphasia. The instrument is designed for use in primary care (PC) and specialized care (SC). The study began in May 2016 and ended in December 2019.
In order to assess face and content validity, a panel of 11 experts was selected by the research team on the basis of their training and experience in relation to the condition in question. Individuals who met at least three of the following requirements within the previous five years qualified as experts:
(a). Experience in caring for individuals with aphasia.
(b). Accredited training in the care of individuals with aphasia.
(c). Teaching or research experience related to the care of individuals with aphasia.
(d). Clinical, teaching, or research experience in the care of individuals with acquired brain damage.
(e). Accredited training in effective communication techniques.
(f). Clinical, teaching, or research experience in the use of SNLs.
(g). Participating or having participated in working groups or expert groups in nursing methodology.
The pilot test consisted of an initial administration of the instrument to patients with aphasia. Eight patients were selected using a convenience sampling method in order to cover a wide range of degrees of severity, disorder types, and age groups. They were recruited from specialized rehabilitation centres, hospital neurology departments, and PC facilities. The inclusion criteria were: being at least 18 years old, having been diagnosed with aphasia caused by acquired brain damage, having Spanish as their mother tongue, and agreeing to participate in the study. The exclusion criteria were: having a low level of consciousness, a history of neurological or neurodegenerative disease prior to the brain damage, a psychiatric/psychological history with a communication disorder prior to the brain damage, literacy or cognitive problems preventing them from taking the test, severe visual or hearing impairment, behavioral problems hindering participation, and/or a history of substance abuse.
2.2. Phases of Development
2.2.1. Phase 1. Generation of Dimensions, Areas, and Items. A Two-Part Analysis Was Carried out to Select the Dimensions for the Initial Questionnaire
Firstly, a literature search was conducted to identify valid, reliable instruments assessing the main dimensions of language in patients with aphasia. Their design had to be suitable for application by nurses in both hospital and community settings and at any stage of the disease. The instruments identified were reviewed to compare and classify the dimensions of language they assessed.
Secondly, the NANDA-I nursing diagnoses and NOC outcome criteria relating to communication aspects available at the time of the research were analyzed.
The NANDA-I classification includes two communication-related diagnoses [25]:
−. “Impaired verbal communication” (00051): Decreased, delayed, or absent ability to receive, process, transmit, and/or use a system of symbols;
−. “Readiness for enhanced communication” (00157): A pattern of exchanging information and ideas with others, which can be strengthened.
The NOC taxonomy includes four communication-related outcomes [27]:
−. “Communication” (0902): Reception, interpretation, and expression of spoken, written, and non-verbal messages;
−. “Communication: Expressive” (0903): Expression of meaningful verbal and/or non-verbal messages;
−. “Communication: Receptive” (0904): Reception and interpretation of verbal and/or non-verbal messages;
−. “Information Processing” (0907): Ability to acquire, organise, and use information.
Once the DCs of the diagnoses and outcome indicators were selected, they were grouped into language dimensions and then compared with the language dimensions included in the instruments identified in the literature search. The language dimensions included in the preliminary version of the questionnaire were the result of discussion and analysis of the dimensions obtained from the two types of sources.
Thirdly, in order to select the areas making up each dimension, the research team used the Boston Diagnostic Aphasia Examination [28] as a reference, as well as the areas included in the instruments from the literature search. The areas that best represented each dimension according to the purposes of the instrument in the opinion of the research team were selected for the preliminary version of the questionnaire. Care was taken to ensure that the questionnaire was not too long for use in healthcare practice. Items were then designed to assess each area of the questionnaire. A number of them were based on pictograms created by Sergio Palao for the Centro Aragonés para la Comunicación Aumentativa y Alternativa (Aragonese Centre for Alternative and Augmentative Communication), licensed under Creative Commons BY-NC-SA and belonging to the Regional Government of Aragón. This pictographic system was used because of its high degree of simplicity, uniformity, and iconicity. It is also the most widely used set of symbols in Spain and neighbouring countries for alternative and augmentative communication (AAC) [29]. The illustrated concepts were selected from a battery of drawings standardized for use in the Spanish population [30] on the basis of their familiarity and widespread consensus as to their naming. Figure 1 shows an example of the pictograms used by the Aragonese Centre for Alternative and Augmentative Communication to assess the area of verbal naming of objects [31]. Qualitative criteria were also designed to assign dysfunctionality outcomes according to combinations of responses obtained and, in this case, diagnostic labels of communicative impairment. A color code representing different response options was used: red and orange = dysfunctional outcome; yellow and green = functional outcome.
2.2.2. Face and Content Validity
For this phase, as recommended in the literature [32], a panel of 11 experts was selected according to the aforementioned criteria. The variables studied in relation to the experts were: sex, age, and professional field. Each expert evaluated the language dimensions, the areas representing these dimensions, and the relevance and representativeness of the items. Two surveys were prepared and sent consecutively to each expert, 15 days apart. The first survey assessed the relevance (degree to which each item in the questionnaire measures the domain it belongs to); and representativeness (degree of adequacy with which the content of the element represents all the aspects of the domain it belongs to) of the language areas in relation to the overall dimensions of the instrument. The second survey evaluated these same aspects with respect to the items measuring each of the areas. A Likert scale with four response options was used for these evaluations: Not at all relevant/representative; Barely relevant/representative; Quite relevant/representative; Completely relevant/representative. Each response was assigned an ascending score from “Not at all relevant/representative” (0 points) to “Completely relevant/representative” (3 points).
Following the expert test described by Polit et al. [33], once their responses had been received, the content validity index (CVI) for each area and item was calculated by dividing the number of expert evaluations awarded 2 or 3 points by the total number of evaluations for each area and item. Similarly, the representativeness index (RI) was calculated for each area in relation to its dimension and for each item with respect to the area it measured. The overall CVI and RI values for the preliminary version of the questionnaire were calculated using the arithmetic mean for the indices of all the areas and items. Good levels of relevance and representativeness were set at values equal to or greater than 0.78 [33] with a minimum required value of 0.62 for tests with at least ten experts [34]. The areas and items failing to achieve this score were reviewed and modified, taking into account the reasons given by each expert. The CVI and RI were calculated using the following formulae:
Content validity index (CVI) for each area and for each item of the instrument.
Representativeness index (RI) for each area and for each item of the instrument.
Individual content validity index for each expert (CVI-e).
Individual representativeness index for each expert (IR-e)
Overall CVI and RI for the preliminary version of the questionnaire:
2.2.3. Pilot Test
The pilot test assessed questionnaire understandability, administration times, and feasibility. It was carried out in two sub-phases. Once the results of the first administration were analyzed, the necessary changes and adjustments were made to each area and item, generating a modified questionnaire that underwent further expert evaluation to recalculate the CVI and RI values and conduct a second pilot test. This process allowed the instrument to be refined, resulting in an improved evaluation tool. The scope and type of participant recruitment, as well as the inclusion/exclusion criteria are described above.
Informed consent was obtained from the participants prior to the administration of the questionnaire in three ways: informed consent in writing, verbal informed consent in front of a witness, and informed consent from the legal guardian/representative. This ensured compliance with the Spanish Basic Law 41/2002 of 14 November, regulating patient autonomy, rights, and obligations regarding clinical information and documentation, as well as Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data.
2.3. Variables
Data of participants were anonymized using alphanumeric coding so that all clinical data were separated from personal identification data. This process ensures the confidentiality of the data in compliance with the Spanish Organic Law 3/2018 of 5 December, on Personal Data Protection and Guarantee of Digital Rights. In addition to the questionnaire responses, the following sociodemographic and clinical variables were collected: sex, age, place of assessment, level of education, previous reading and writing expression, aetiology of aphasia, type of aphasia, and degree of severity of aphasia according to the Boston examination. This test rates the ability to communicate verbally from 0 (highest severity, with no speech or auditory comprehension) to 5 (lowest severity, with minimal observable speech impairment or subjective difficulties not evident to the assessor).
2.4. Data Analysis
The results of the preliminary revised version of the questionnaire after the two pilot tests, as well as the data on sociodemographic and clinical variables, were stored in an SPSS v.25.0 database for processing. Nominal variables were summarized as absolute and relative frequencies of their categories, and quantitative variables were expressed as medians (minimum-maximum) as they are not normally distributed due to the sample size.
3. Results
3.1. Phase 1
The following Medical Subject Headings (MeSH) descriptors were selected for the literature search: Nursing; Aphasia; Aphasia Test; Neuropsychological Test; Acquired Language Disorder; Assessment of Health Care Need; Nursing Care. The databases consulted were: PubMed (MedLine); Scopus; Web of Science, Biblioteca Virtual en Salud España (BVS); IBECS; CUIDEN; EMBASE; Dialnet; SciELO España; Biblioteca Cochrane Plus; CINAHL; and Science Direct. We searched for publications in English and Spanish, in the title and abstract fields, with no date limit, using keywords and MeSH terms. The search strategies were: (“neuropsychological tests” OR “neuropsychological” AND “tests”) AND (“aphasia”); “aphasia test”; “aphasia assessment”; “aphasia battery”; “aphasia examination”; “aphasia” AND “nursing”; “aphasia” AND “assessment” AND “nursing”; “aphasia” AND (“physical examination” OR “physical” AND “examination”) AND “nursing”; “neuropsychological test” AND “nursing”; “aphasia” AND “assessment” AND (“delivery of health care”) OR (“delivery” AND “health” AND “care”) OR (“delivery of health care”) OR (“health”AND “care”) OR (“health care” AND “need”).
Eight studies were selected for inclusion in the dimension elicitation phase of the preliminary questionnaire. Of these, seven studies reported on the construction and validation of aphasia screening instruments [35,36,37,38,39,40,41]. The other study addressed the adaptation and validation of a screening instrument [42].
Among the nursing diagnoses of the NANDA-I 2015–2017 classification concerning communicative aspects, “Impaired verbal communication” (00051) and “Readiness for enhanced communication” (00157) were selected as being of interest to this research as their wording could be related to individuals with aphasia. The DCs of these diagnoses were classified according to language dimensions. The research team reviewed the latest available editions of the NANDA-I and agreed to use the 2012–2014 edition to classify the DCs of the diagnosis “Readiness for enhanced communication” (00157) as it was more fully developed for the purposes of this study.
The same procedure was carried out with the four NOC outcome criteria identified in relation to language and communication: “Communication” (0902), “Communication: Expressive” (0903), “Communication: Receptive” (0904), “Information Processing” (0907). The indicators potentially present in individuals with aphasia were selected and classified according to language dimensions. The use of the NOC increased the number of dimensions with respect to those obtained from the NANDA-I diagnoses. Table 1 shows the distribution of the DCs of the diagnoses and the outcome indicators by language dimensions.
The research team then agreed on five dimensions for the preliminary questionnaire: the dimensions that coincided with those obtained from the analysis and review of aphasia assessment instruments in the literature search and those obtained from the analysis and classification of NANDA-I DCs and NOC indicators. Thus, the preliminary version of the questionnaire, which was tested for content validity, comprised the following dimensions: Verbal expression; Written expression; Expression through drawings, illustrations, and icons; Auditory comprehension; and Reading comprehension. In turn, the dimensions were divided into 13 areas, assessed by 39 items: 25 on expression areas and 14 on comprehension areas. Qualitative criteria were devised to assign functional/dysfunctional categories and communicative impairment diagnostic labels according to the results obtained by combining responses.
Table 2 shows the structure of the preliminary questionnaire, arranged in dimensions, areas, and items.
3.2. Phase 2
Of the eleven experts, seven were men, with a mean age of 43 years; six were employed in healthcare, five in teaching and research, and two in management. Four worked in PC, five in SC, and two at the university. The experts evaluated all areas and items of the draft version of the questionnaire. Both the overall CVI and RI values for the areas were 0.87. The CVI and RI values for each area and item, as well as the overall values of the questionnaire, are shown in Table 2.
The following modifications were made after the qualitative review by the group of experts:
−. The area “Expression through drawings, illustrations, and icons” was renamed “Expression through pictograms” to more accurately represent the task at hand.
−. A new item, scissors, was added to the area “Naming objects verbally”, increasing the number of semantic categories represented.
−. In the area “Naming actions verbally”, item 12, urinating, was replaced by a new pictogram representing the action of combing one’s hair in order to avoid sex-based differences.
These modifications were qualitatively analyzed by the entire group of experts, who, in a final brainstorming session, reached a consensus to accept the second version of the tentative questionnaire, known as CEECCA, Cuestionario para la Evaluación Enfermera de las Capacidades Comunicativas en la Afasia (Nursing Assessment of Ability to Communicate among Patients with Aphasia Questionnaire).
3.3. Phase 3
The first phase of the pilot test involved six participants, 50% female, with a mean age of 66 (45–81) years (Table 3). Five participants were assessed at a comprehensive rehabilitation centre and one at a tertiary hospital. One participant had primary education, two had vocational training, and two had university education. The aetiology of aphasia was ischaemic stroke in three participants, haemorrhagic stroke in two participants, and brain tumour in one participant. The sample included one case of motor aphasia, one case of global aphasia, one case of anomic aphasia, two cases of transcortical sensory aphasia, and one case of transcortical motor aphasia. According to the Boston examination, their degree of severity obtained a median score of 3 (0–4) points. The first administration lasted a mean of 12 (11–29) min.
The research team assessed the results from the first phase of the pilot test of the CEECCA and made modifications to its content and wording. As a result, the area “Auditory comprehension of sentences” was included in the “Auditory comprehension” dimension, and response time limits were established as a criterion for dysfunctionality.
The resulting third version of the questionnaire was re-evaluated by the panel of experts, with its areas obtaining a CVI of 0.96 and an RI of 0.90, and items obtaining overall CVI and RI values of 0.90. This was followed by the second phase of the pilot test, with the questionnaire being administered to six participants, four from the previous phase and two new ones. One was recruited and assessed at a specialized rehabilitation centre with transcortical motor aphasia following central nervous system infection, and another at a PC facility with anomic motor aphasia following ischaemic stroke. In this sample, 50% were women, the mean age was 69 (52–82) years, and the degree of severity was 2 (0–3) points (Table 3). The administration time was 16 (12–31) min.
Table 4 shows the dimensions, areas, and items in the third and final version of the CEECCA questionnaire, as well as the criteria for assigning diagnostic labels and the percentages of dysfunctionality by area of participants.
4. Discussion
The main outcome of this study is the development of the CEECCA instrument based on the standardized nursing languages NANDA-I and NOC which enables nurses to assess the main dimensions of language in individuals with aphasia in a simple manner. Further studies should test its psychometric properties with a sufficiently large sample of individuals with aphasia. The CEECCA consists of 43 items assessing 14 specific language areas corresponding to five global dimensions likely to be affected in these patients. Language assessment using the CEECCA is intended, firstly, to promote effective interactions between the nurse and the patient with aphasia; secondly, to serve as a valid, reliable tool for making diagnostic judgements, and thirdly, to supplement the assessment of outcome indicators. The use of the NANDA-I and NOC classifications to construct the questionnaire ensured that the selected dimensions were relevant to nursing practice.
The literature search revealed only one validated screening instrument for use by nurses [36]. The instrument is intended to detect aphasia in acute cerebrovascular events and to provide information on overall language status across four categories: no language disorder, mild language disorder, moderate language disorder, and severe language disorder. In turn, each area is assessed in terms of dichotomous variables: normal response or impaired response. In our opinion, this categorization of responses does not offer sufficient information about the degree of functionality of the different language areas, as one area may be affected and yet be functional enough to generate a communicative exchange. On the other hand, the CEECCA aims to serve as a tool for assessing language in patients already diagnosed with aphasia, providing information on functionality in various dimensions. In this sense, responses are classified according to three or four levels of competence, which are in turn categorized as functional or dysfunctional. This approach aims to identify those responses which, while not entirely correct, can be functional in generating a communicative exchange.
The CEECCA questionnaire dispenses with two dimensions included in most of the instruments reviewed for assessing aphasia: repetition and automatic or serial speech. On its own, a repetition test does not provide a non-specialist assessor with relevant information about the ability to maintain a functional communicative exchange [43]. Automatic or serial speech may be preserved in patients with severe spontaneous speech impairment [44] and does not provide information on the ability to attach meaning to the spoken word, either receptively or expressively [28].
The dimension “Expression through pictograms”, obtained from the NOC outcomes, is viewed as particularly relevant. When aphasia is chronic or severe, the patient may benefit from AAC [45], as it improves communication skills and social engagement [46,47]. There are multiple AAC strategies, which are difficult to represent in instruments such as the CEECCA. However, we believe that the items designed to assess this dimension provide valuable information on whether or not the patient can benefit from such a system.
The overall CVI and RI values for both areas and items suggest high levels of relevance and representativeness of the instrument [33].
The CEECCA administration times are within the intervals required to complete other tests designed using the NANDA-I and NOC classifications [48,49,50]. After the first sub-phase of the pilot test, the need to limit the response time for each item was considered. As a result, response times were established as a criterion for dysfunctionality. Most individuals with aphasia have increased response times. Instruments such as the Boston examination [28] and the Western aphasia battery [51] limit response times for a number of verbal tasks. During the first sub-phase of our pilot test, it was noted that administration of the questionnaire proved excessively lengthy as no time limits had been included. The evaluators also struggled to adhere to the established times in the pilot test phase. Once the time limit has been exceeded without producing a response and the response has therefore been classified as dysfunctional, the assessor should encourage the patient to produce or generate some type of response by providing some kind of assistance. If the examiner simply moves from one item to the next without prompting the patient to produce a response, this may lead to feelings of helplessness or discouragement, increasing the total test administration time.
This study has a number of limitations. Firstly, the number of experts was sufficient but could have been expanded to include professionals from other backgrounds besides nurses to provide a multidisciplinary vision of this validation phase. Nevertheless, our aim was to obtain a nursing assessment tool. Secondly, the limited sample size (N = 8) with which the pilot test of this questionnaire was conducted must be taken into consideration. It goes without saying that the rest of the psychometric tests of validity, consistency, and reliability of the resulting questionnaire will have to be conducted with a larger representative sample. In our opinion, the circumstances that limited the recruitment of a larger sample size for the pilot test include the temporal and operational limitations of the study and the difficulty in recruiting participants with this clinical and neuropsychological profile.
When looking at the samples with which a number of screening instruments for diagnosing aphasia have been validated, we observe small sample sizes, most of them below 50 subjects [35,36,39,42]. Most of them fail to mention the number of subjects with whom the preliminary questionnaires were pilot-tested and do not discuss why such limited samples of subjects were used to conduct their psychometric tests. Several publications refer to the challenge of obtaining informed consent from individuals with language and communication disorders. This has led to a systematic exclusion of individuals with aphasia from the samples of a large number of studies, especially from studies assessing different conditions related to CVAs and acquired brain injury [52].
Thirdly, the concepts comprising the items corresponding to the areas “Naming objects verbally”, “Naming objects in writing”, “Auditory comprehension of words”, and “Reading comprehension of words” were selected on the basis of their high familiarity, excluding concepts of medium and low familiarity. This could influence performance in these areas, with concepts being evoked with less difficulty [43]. We decided to assess basic, less demanding processes in order to identify opportunities for interacting with patients with severe language impairment. This entails a potential loss of sensitivity to patients with mild aphasic disorders, which will have to be addressed in future revisions of the questionnaire. Finally, we were aware that it may not be possible to obtain specific NANDA-I diagnoses for the problems detected using the CEECA. However, the construction of the instrument itself offers up to ten new diagnostic proposals (Table 4) that could be included in future NANDA-I classifications once the psychometric properties of the CEECCA have been tested and these labels have been validated in patients with these characteristics.
5. Conclusions
This study presents an instrument, the CEECCA, constructed using DCs from NANDA-I diagnoses and NOC outcome indicators, which shows adequate content validity and representativeness. The instrument has proved useful for nurses seeking to assess ability to communicate among individuals with aphasia in PC and SC settings. This study illustrates the utility of the NANDA-I and NOC SNLs in constructing instruments to improve the accuracy of nursing diagnoses and supplement the measurement of outcome indicators based on a solid conceptual framework, targeting a specific setting, and validated through tests carried out with patients who will receive such care. Given the relevance of the communicative interaction between nurses and patients as the backbone of the care process itself, the CEECCA can help nurses to adapt their modes of communication to the actual abilities of each patient, with the possibility of using AAC to increase the quality of their interactions. Due to the relationship between severity of language impairment and other factors, the CEECCA results could serve as predictors of major dysfunctions or as facilitators for nursing interventions to address social isolation, anxiety, hopelessness, and risk of loneliness, among other human responses.
Conceptualization, W.-J.M.-D., P.-R.B.-B. and A.-M.G.-H.; methodology, W.-J.M.-D. and P.-R.B.-B.; software, W.-J.M.-D. and P.-R.B.-B.; validation, W.-J.M.-D. and P.-R.B.-B.; formal analysis, W.-J.M.-D. and P.-R.B.-B.; investigation, W.-J.M.-D., P.-R.B.-B. and A.-M.G.-H.; resources, W.-J.M.-D. and P.-R.B.-B.; data curation, W.-J.M.-D. and P.-R.B.-B.; writing—original draft preparation, W.-J.M.-D. and P.-R.B.-B.; writing—review and editing, W.-J.M.-D., P.-R.B.-B.; visualization, W.-J.M.-D. and P.-R.B.-B.; supervision, W.-J.M.-D. and P.-R.B.-B.; project administration, W.-J.M.-D. and P.-R.B.-B.; funding acquisition, W.-J.M.-D. All authors have read and agreed to the published version of the manuscript.
This research was partially funded by the Fundación Canaria Instituto de Investigación Sanitaria de Canarias. Servicio Canario de la Salud (Canary Islands Foundation for Health Research, FIISC. The Canary Islands Health Service), under file number ENF-19/02.
The study followed the guidelines set out in the Declaration of Helsinki and was approved by the Research Ethics Committee at the Canary Islands University Hospital Complex under code CHUC_2019_32 (Tenerife, Canary Islands, Spain). Informed consent was obtained from each participant in this study in compliance with the Spanish Basic Law 41/2002 of 14 November, regulating patient autonomy, rights, and obligations regarding clinical information and documentation, as well as Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data. Ethical principles of biomedical research were observed and data confidentiality was preserved at all times.
Informed consent was obtained from all subjects involved in the study. Three types of consent forms were prepared: a written consent form, a verbal consent form in front of a witness, and a consent form for legal guardians/representatives.
The data presented in this study are available upon request from the corresponding author. The data are not publicly available due to privacy/ethical restrictions.
The authors are grateful to the experts for participating in the study, as well as to the aphasia patients and their families for collaborating in the pilot test. The authors would also like to thank the Centro de Rehabilitación Especializada (CREN, Tenerife, Canary Islands) for their collaboration. This research would not have been possible without their selfless, committed efforts.
The authors have no conflict of interest to declare.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figure 1. Pictograms used by the Aragonese Centre for Alternative and Augmentative Communication to assess the area of verbal naming of objects.
Defining characteristics of the NANDA-I diagnoses and the NOC outcome indicators distributed by language dimensions.
NANDA-I Diagnoses | NOC Outcome Criteria | Resulting Language Dimensions | ||||
---|---|---|---|---|---|---|
Impaired Verbal Communication (00051) | Readiness for Enhanced Communication (00157) | Communication (0902) | Communication: Expressive (0903) | Communication: Receptive (0904) | Information Processing (0907) | |
Defining Characteristics | NOC Outcome Indicators | |||||
|
|
|
|
|
Verbal expression | |
|
|
|
|
Auditory comprehension | ||
|
Naming skills | |||||
|
|
|
Written expression | |||
|
Reading comprehension | |||||
|
|
|
|
Facial and body expression | ||
|
|
Comprehension of facial and body language | ||||
|
|
Expression through symbols, illustrations, and icons | ||||
|
Language comprehension through symbols, illustrations, and icons |
Dimensions, areas, and items of the CEECCA questionnaire in its preliminary and final versions. CVI and RI values for each area and item.
Dimensions in the Preliminary Questionnaire | Areas and Items in the Preliminary Questionnaire | CVI/RI Values for Each Area and Item in the Preliminary Questionnaire | Areas and Items in the Final Questionnaire | CVI/RI Values for Each Area and Item in the Final Questionnaire | ||
---|---|---|---|---|---|---|
Verbal expression |
|
1.00 | 1.00 |
|
1.00 | 1.00 |
|
0.91 |
0.91 |
|
0.91 |
0.91 |
|
|
0.82 | 0.82 |
|
1.00 | 0.91 | |
|
0.82 | 0.73 |
|
0.91 | 0.91 | |
|
1.00 | 1.00 |
|
1.00 | 1.00 | |
|
0.91 |
0.91 |
|
0.91 |
0.91 |
|
|
0.91 | 0.91 |
|
1.00 | 1.00 | |
|
0.91 |
0.91 |
|
0.91 |
0.82 |
|
Written expression |
|
0.73 | 0.73 |
|
0.82 | 0.82 |
|
0.73 | 0.91 |
|
0.91 | 0.91 | |
|
0.73 | 0.82 |
|
0.91 | 0.91 | |
|
0.91 |
0.91 |
|
0.91 |
0.91 |
|
|
0.91 | 0.91 |
|
0.91 | 0.91 | |
|
0.91 |
0.91 |
|
0.91 |
0.91 |
|
Expression through symbols, illustrations, and icons |
|
0.91 | 0.91 |
|
1.00 | 1.00 |
|
0.91 |
0.91 |
|
0.91 |
0.91 |
|
|
0.91 | 0.82 |
|
0.91 | 0.91 | |
|
0.91 |
0.91 |
|
0.91 |
0.91 |
|
Auditory comprehension |
|
1.00 | 0.91 |
|
1.00 | 0.82 |
|
1.00 |
0.91 |
|
1.00 |
0.91 |
|
|
1.00 | 0.82 | ||||
|
0.91 |
0.91 |
||||
|
1.00 | 0.91 |
|
1.00 | 0.91 | |
|
1.00 |
1.00 |
|
1.00 |
1.00 |
|
Reading comprehension |
|
0.91 | 0.91 |
|
1.00 | 0.82 |
|
0.91 |
0.91 |
|
0.82 |
0.82 |
|
|
0.91 | 0.91 |
|
0.91 | 0.82 | |
|
0.91 |
0.91 |
|
0.91 |
0.91 |
|
Overall CVI/Overall RI | 0.90 | 0.89 | Overall CVI/Overall RI | 0.90 | 0.90 |
Main demographic and clinical characteristics of the participants included in the two phases of the pilot test.
Participant (Code) | Sex | Age (Years) | Level of Education | Place of Assessment | Type of Aphasia | Aphasia Aetiology | Previous Reading Level | Previous Writing Level | Level of Severity (0–5) |
---|---|---|---|---|---|---|---|---|---|
A1 | Male | 51 | Vocational training | CREN Rehabilitation Centre | Motor aphasia | Ischaemic CVA | Good | Good | 1 |
A2 | Female | 81 | University education | CREN Rehabilitation Centre | Transcortical motor aphasia | Ischaemic CVA | Very good | Very good | 3 |
A3 | Male | 58 | Vocational training | CREN Rehabilitation Centre | Transcortical sensory aphasia | Haemorrhagic CVA | Good | Good | 2 |
A4 | Female | 78 | Primary education | CREN Rehabilitation Centre | Global aphasia | Ischaemic CVA | Good | Good | 0 |
A5 | Female | 44 | University education | CREN Rehabilitation Centre | Anomic aphasia | Haemorrhagic CVA | Good | Good | 4 |
A6 | Male | 74 | Primary education | Nuestra Señora de Candelaria University Hospital | Transcortical sensory aphasia | Brain tumour | Average | Average | 4 |
A7 | Male | 58 | University education | CREN Rehabilitation Centre | Motor aphasia | CNS infection | Very good | Very good | 2 |
A8 | Female | 78 | Primary education | Primary care | Anomic motor aphasia | Ischaemic CVA | Average | Average | 1 |
Participants included in the first phase of the pilot test: A1, A2, A3, A4, A5, A6. Participants included in the second phase of the pilot test: A1, A2, A3, A4, A7, A8.
Dimensions, areas, and items in the final CEEECA questionnaire. Diagnostic labels and criteria for assigning them. Dysfunctionality percentages after the second phase of the pilot test.
Dimensions | Areas in the Preliminary CEECCA Questionnaire | Items | Diagnostic Label Assignment Criteria | Diagnostic Labels | Area Dysfunctionality (%) |
---|---|---|---|---|---|
Verbal expression | Conversational speech | Items 1–5 | If two or more responses are dysfunctional | Impaired verbal communication: Conversational speech | 33.3 |
Descriptive speech | Item 6 | If the response is dysfunctional | Impaired verbal communication: Descriptive speech | 83.3 | |
Naming objects verbally | Items 7–10 | If two or more responses are dysfunctional | Impaired verbal naming: Objects | 50.0 | |
Naming actions verbally | Items 11–13 | Impaired verbal naming: Actions | 50.0 | ||
Written expression | Writing name and surname(s) | Item 14 | If the response is dysfunctional | Impaired written expression: Writing name | 83.3 |
Naming objects in writing | Items 15–17 | If two or more responses are dysfunctional | Impaired written naming: Objects | 66.7 | |
Naming actions in writing | Items 18–20 | Impaired written naming: Actions | 83.3 | ||
Expression through pictograms | Expressing actions through pictograms | Items 21–23 | If two or more responses are dysfunctional | Impaired expression through pictograms: Actions | 16.7 |
Expressing emotions through pictograms | Items 24–26 | Impaired expression through pictograms: Emotions | 16.7 | ||
Auditory comprehension | Auditory comprehension of words | Items 27–31 | If two or more responses are dysfunctional | Impaired auditory comprehension: Words | 83.3 |
Auditory comprehension of sentences | Items 32–34 | If two or more responses are dysfunctional; a dysfunctional response if item 32 is involved | Impaired auditory comprehension: Sentences | 66.7 | |
Auditory comprehension of commands | Item 35–37 | If two or more responses are dysfunctional; a dysfunctional response if item 35 is involved | Impaired auditory comprehension: Verbal commands | 50.0 | |
Reading comprehension | Reading comprehension of words | Items 38–40 | If two or more responses are dysfunctional | Impaired reading comprehension: Words | 33.3 |
Reading comprehension of sentences | Items 41–43 | Impaired reading comprehension: Sentences | 66.7 |
References
1. Berthier, M.L. Poststroke Aphasia. Drugs Aging; 2005; 22, pp. 163-182. [DOI: https://dx.doi.org/10.2165/00002512-200522020-00006] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15733022]
2. McNeil, M.R.; Pratt, S.R. Defining aphasia: Some theoretical and clinical implications of operating from a formal definition. Aphasiology; 2001; 15, pp. 901-911. [DOI: https://dx.doi.org/10.1080/02687040143000276]
3. Engelter, S.T.; Gostynski, M.; Papa, S.; Frei, M.; Born, C.; Ajdacic-Gross, V.; Gutzwiller, F.; Lyrer, P.A. Epidemiology of Aphasia Attributable to First Ischemic Stroke. Stroke; 2006; 37, pp. 1379-1384. [DOI: https://dx.doi.org/10.1161/01.STR.0000221815.64093.8c] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16690899]
4. Gil, R. Neuropsicología; Elsevier: Barcelona, Spain, 2019.
5. Bersano, A.; Burgio, F.; Gattinoni, M.; Candelise, L. Aphasia Burden to Hospitalised Acute Stroke Patients: Need for an Early Rehabilitation Programme. Int. J. Stroke; 2009; 4, pp. 443-447. [DOI: https://dx.doi.org/10.1111/j.1747-4949.2009.00349.x]
6. Kauhanen, M.-L.; Korpelainen, J.T.; Hiltunen, P.; Määttä, R.; Mononen, H.; Brusin, E.; Sotaniemi, K.A.; Myllyla, V.V. Aphasia, Depression, and Non-Verbal Cognitive Impairment in Ischaemic Stroke. Cerebrovascular Diseases. 2000; Available online: http://www.karger.com/Article/Fulltext/16107 (accessed on 27 June 2016).
7. Pedersen, P.M.; Stig Jørgensen, H.; Nakayama, H.; Raaschou, H.O.; Olsen, T.S. Aphasia in Acute Stroke: Incidence, Determinants, and Recovery; Annals of Neurology. 1995; Available online: http://onlinelibrary.wiley.com/doi/10.1002/ana.410380416/full (accessed on 27 June 2016).
8. Dickey, L.; Kagan, A.; Lindsay, M.P.; Fang, J.; Rowland, A.; Black, S. Incidence and Profile of Inpatient Stroke-Induced Aphasia in Ontario, Canada. Arch. Phys. Med. Rehabil.; 2010; 91, pp. 196-202. [DOI: https://dx.doi.org/10.1016/j.apmr.2009.09.020]
9. Code, C. The quantity of life for people with chronic aphasia. Neuropsychol. Rehabil.; 2003; 13, pp. 379-390. [DOI: https://dx.doi.org/10.1080/09602010244000255]
10. Hilari, K.; Needle, J.; Harrison, K.L. What Are the Important Factors in Health-Related Quality of Life for People with Aphasia? A Systematic Review. Arch. Phys. Med. Rehabil.; 2012; 93, pp. S86-S95.e4. [DOI: https://dx.doi.org/10.1016/j.apmr.2011.05.028]
11. Niemi, T.; Johansson, U. The lived experience of engaging in everyday occupations in persons with mild to moderate aphasia. Disabil. Rehabil.; 2013; 35, pp. 1828-1834. [DOI: https://dx.doi.org/10.3109/09638288.2012.759628]
12. Charmaz, K. Loss of self: A fundamental form of suffering in the chronically ill. Sociol. Health Illn.; 1983; 5, pp. 168-195. [DOI: https://dx.doi.org/10.1111/1467-9566.ep10491512]
13. Pound, C. Beyond Aphasia: Therapies for Living with Communication Disability; Winslow Press: Cape Coral, FL, USA, 2000.
14. Gordon, C.; Ellis-Hill, C.; Ashburn, A. The use of conversational analysis: Nurse-patient interaction in communication disability after stroke. J. Adv. Nurs.; 2009; 65, pp. 544-553. [DOI: https://dx.doi.org/10.1111/j.1365-2648.2008.04917.x]
15. Finke, E.H.; Light, J.; Kitko, L. A systematic review of the effectiveness of nurse communication with patients with complex communication needs with a focus on the use of augmentative and alternative communication. J. Clin. Nurs.; 2008; 17, pp. 2102-2115. [DOI: https://dx.doi.org/10.1111/j.1365-2702.2008.02373.x]
16. Thompson, J.; McKeever, M. The impact of stroke aphasia on health and well-being and appropriate nursing interventions: An exploration using the Theory of Human Scale Development. J. Clin. Nurs.; 2012; 23, pp. 410-420. [DOI: https://dx.doi.org/10.1111/j.1365-2702.2012.04237.x]
17. Lendínez Mesa, A. Sociedad Española de Enfermería Neurológica. Enfermería en Neurorrehabilitación: Empoderando el Autocuidado; Lendínez Mesa, A. Elsevier: Amsterdam, The Netherlands, 2016.
18. Brito Brito, P.R. Redes y Diagnósticos Enfermeros; Circulo Cultural y Recreativo de El Ejido: El Ejido, Spain, 2013.
19. Poslawsky, I.E.; Schuurmans, M.J.; Lindeman, E.; Hafsteinsdottir, T.B. A systematic review of nursing rehabilitation of stroke patients with aphasia. J. Clin. Nurs.; 2010; 19, pp. 17-32. [DOI: https://dx.doi.org/10.1111/j.1365-2702.2009.03023.x]
20. Tirado Pedregosa, G.; Hueso Montoro, C.; Cuevas Fernández-Gallego, M.; Montoya Juárez, R.; Bonill de las Nieves, C.; Schmidt Río-del Valle, J. Cómo escribir un caso clínico en Enfermería utilizando Taxonomía NANDA, NOC, NIC. Index de Enfermería. 2011; Available online: http://scielo.isciii.es/scielo.php?script=sci_abstract&pid=S1132-12962011000100023&lng=es&nrm=iso&tlng=es (accessed on 2 May 2016).
21. Brtio-Brito, P.R. Investigación sobre el proceso de valoración enfermera. Investigación en Metodología y Lenguajes Enfermeros; Echevarría-Pérez, P. Elsevier: Barcelona, Spain, 2016; pp. 159-170.
22. Herdman, H.T.; Kamitsuru, S. NANDA International Nursing Diagnoses: Definitions & Classification 2018–2020; Thieme Publishers: New York, NY, USA, Stuttgart, Germany, 2017; 581.
23. Johnson, M.; Maas, M.L. Nursing Outcomes Classification (NOC): Measurement of Health Outcomes; Elsevier: Amsterdam, The Netherlands, 2018; 696.
24. Butcher, H.K.; Bulechek, G.M.; Dochterman, J.M.; Wagner, C.M. Nursing Interventions Classification (NIC); Elsevier: Amsterdam, The Netherlands, 2018; 489.
25. NANDA International. Nursing Diagnoses: Definitions and Classification: 2012–2014; Wiley-Blackwell: Chichester, UK, 2012; 533.
26. Müller-Staub, M.; Lavin, M.A.; Needham, I.; van Achterberg, T. Meeting the criteria of a nursing diagnosis classification: Evaluation of ICNP®, ICF, NANDA and ZEFP. Int. J. Nurs. Stud.; 2007; 44, pp. 702-713. [DOI: https://dx.doi.org/10.1016/j.ijnurstu.2006.02.001]
27. Moorhead, S. Nursing Outcomes Classification (NOC): Measurement of Health Outcomes; 5th ed. Elsevier: St. Louis, MO, USA, 2013; 751.
28. Goodglass, H.; Kaplan, E.; Wernicke, C. Evaluación de la Afasia l le Transtornos Relacionados; Médica Panamericana: Madrid, Spain, 1996.
29. López, E.B. Análisis Empírico de las Características Formales de los Símbolos Pictográficos Arasaac. 2017; Available online: https://dialnet.unirioja.es/servlet/tesis?codigo=154984 (accessed on 30 March 2019).
30. Pérez, M.A.; Navalón, C. Nomas españolas de 290 nuevos dibujos: Acuerdo en la denominación, concordancia de la imagen, familiaridad, complejidad visual y variabilidad de la imagen. Psicológica; 2003; 24, pp. 215-241.
31. Palao, S. Símbolos Pictográficos para CATEDU; ARASAAC: Gobiero de Aragón: Licencia CC (BY-NC-SA). 2021; Available online: http://old.arasaac.org/pictogramas_byn.php (accessed on 26 October 2019).
32. Polit, D.F.; Beck, C.T. Nursing Research: Generating and Assessing Evidence for Nursing Practice; 9th ed. Wolters Kluwer Health/Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2012; 802.
33. Polit, D.F.; Hungler, B.P.; Palacios Martínez, R.; Féher de la Torre, G. Investigación Científica en Ciencias de la Salud: Principios y Métodos; 6th ed. McGraw-Hill Interamericana: México City, Mexico, 2007.
34. Lawshe, C.H. A quantitative approach to content validity. Pers. Psychol.; 1975; 28, pp. 563-575. [DOI: https://dx.doi.org/10.1111/j.1744-6570.1975.tb01393.x]
35. Enderby, P.M.; Wood, V.A.; Wade, D.T.; Hewer, R.L. The Frenchay Aphasia Screening Test: A short, simple test for aphasia appropriate for non-specialists. Int. Rehabil. Med.; 1987; 8, pp. 166-170. [DOI: https://dx.doi.org/10.3109/03790798709166209]
36. Thommessen, B.; Thoresen, G.E.; Bautz-Holter, E.; Laake, K. Screening by nurses for aphasia in stroke—The Ullevaal Aphasia Screening (UAS) test. Disabil. Rehabil.; 1999; 21, pp. 110-115. [DOI: https://dx.doi.org/10.1080/096382899297846]
37. Nakase-Thompson, R.; Manning, E.; Sherer, M.; Yablon, S.A.; Gontkovsky, S.L.T.; Vickery, C. Brief assessment of severe language impairments: Initial validation of the Mississippi aphasia screening test. Brain Inj.; 2005; 19, pp. 685-691. [DOI: https://dx.doi.org/10.1080/02699050400025331]
38. Sabe, L.; Courtis, M.J.; Saavedra, M.M.; Prodan, V.; Calcagno, M.d.L.; Melián, S. Desarrollo y validación de una batería corta de evaluación de la afasia: Bedside de lenguaje: Utilización en un centro de rehabilitación. Rev. Neurol.; 2008; 46, pp. 454-460. Available online: https://dialnet.unirioja.es/servlet/articulo?codigo=2577397 (accessed on 29 July 2017). [DOI: https://dx.doi.org/10.33588/rn.4608.2007509]
39. Flamand-Roze, C.; Falissard, B.; Roze, E.; Maintigneux, L.; Beziz, J.; Chacon, A.; Join-Lambert, C.; Adams, D.; Denier, C. Validation of a New Language Screening Tool for Patients with Acute Stroke. Stroke; 2011; 42, pp. 1224-1229. [DOI: https://dx.doi.org/10.1161/STROKEAHA.110.609503]
40. Espinoza, M.Á.L.; Chávez, R.P.; Jiménez, L.M. Propiedades psicométricas y utilidad diagnóstica del “screening léxico para las afasias”. Rev. Neurol.; 2014; 59, pp. 255-263. Available online: https://dialnet.unirioja.es/servlet/articulo?codigo=4797962 (accessed on 11 July 2017).
41. Adrián, J.A.; Jorquera, J.; Cuetos, F. NEUROBEL: Breve batería neuropsicológica de evaluación del lenguaje oral en adultos-mayores. Datos normativos iniciales. Rev. Logop. Foniatr. Audiol.; 2015; 35, pp. 101-113. Available online: http://www.sciencedirect.com/science/article/pii/S0214460315000066 (accessed on 11 July 2017). [DOI: https://dx.doi.org/10.1016/j.rlfa.2014.12.004]
42. Romero, M.; Sánchez, A.; Marín, C.; Navarro, M.D.; Ferri, J.; Noé, E. Utilidad clínica de la versión en castellano del Mississippi Aphasia Screening Test (MASTsp): Validación en pacientes con ictus. Neurología; 2012; 27, pp. 216-224. Available online: http://linkinghub.elsevier.com/retrieve/pii/S0213485311002659 (accessed on 27 June 2017). [DOI: https://dx.doi.org/10.1016/j.nrl.2011.06.006]
43. Cuetos, F. Evaluación y Rehabilitación de las Afasias: Aproximación Cognitiva; Editorial Médica Panamericana: Madrid, Spain, 1998.
44. González Lázaro, P.; González Ortuño, B. Afasia: De la Teoría a la Práctica; Editorial Medica Panamericana: Buenos Aires, Argentina, 2012.
45. Coronas Puig-Pallarols, M.; Basil Almirall, C. Comunicación aumentativa y alternativa para personas con afasia. Rev. Logop. Foniatr. Audiol.; 2013; 33, pp. 126-135. Available online: http://www.elsevier.es/es-revista-revista-logopedia-foniatria-audiologia-309-articulo-comunicacion-aumentativa-alternativa-personas-con-S0214460312000940 (accessed on 14 February 2020). [DOI: https://dx.doi.org/10.1016/j.rlfa.2012.10.004]
46. Koul, R.J.; Corwin, M. Efficacy of ACC intervention in individuals with chronic severe aphasia. The Efficacy of Augmentative and Alternative Communication; Schlosser, R.W. Academic Press: Amsterdam, The Netherlands, Boston, FL, USA, 2003; pp. 449-466.
47. Ho, K.M.; Weiss, S.J.; Garrett, K.L.; Lloyd, L.L. The Effect of Remnant and Pictographic Books on the Communicative Interaction of Individuals with Global Aphasia. Augment. Altern. Commun.; 2005; 21, pp. 218-232. [DOI: https://dx.doi.org/10.1080/07434610400016694]
48. Brito-Brito, P.R.; Rodríguez-Álvarez, C.; Sierra-López, A.; Rodríguez-Gómez, J.Á.; Aguirre-Jaime, A. Diseño y validación de un cuestionario para el diagnóstico enfermero psicosocial en Atención Primaria. Enferm. Clin.; 2012; 22, pp. 126-134. Available online: http://www.elsevier.es/es-revista-enfermeria-clinica-35-articulo-diseno-validacion-un-cuestionario-el-S1130862112000447 (accessed on 1 November 2020). [DOI: https://dx.doi.org/10.1016/j.enfcli.2012.03.001]
49. Paloma-Castro, O.; Romero-Sánchez, J.M.; Paramio-Cuevas, J.C.; Pastor-Montero, S.M.; Sánchez-Dalda, M.D.C.; Royadillas-Sanmiguel, E.; Morreno-Corral, L.J. Development and Psychometric Evaluation of a Questionnaire Based on the Nursing Outcomes Classification to Determine the Knowledge of Parents on Breast-Feeding: Research Protocol. Int. J. Nurs. Knowl.; 2015; 28, pp. 100-108. [DOI: https://dx.doi.org/10.1111/2047-3095.12101]
50. Brito-Brito, P.R.; Martín-García, A.; Oter-Quintana, C.; Paloma-Castro, O.; Romero-Sánchez, J.M. CoNOCidiet-Diabetes Research Group Development and Content Validation of a NOC-Based Instrument for Measuring Dietary Knowledge in Patients with Diabetes: CoNOCidiet-Diabetes. Int. J. Nurs. Knowl.; 2019; 31, pp. 59-73. [DOI: https://dx.doi.org/10.1111/2047-3095.12243]
51. Kertesz, A. Batería de Afasias “Western”: The Western Aphasia Battery en Versión y Adaptación Castellana; NAU Llibres: Valencia, Spain, 2000.
52. Brady, M.C.; Fredrick, A.; Williams, B. People with Aphasia: Capacity to Consent, Research Participation and Intervention Inequalities. Int. J. Stroke; 2012; 8, pp. 193-196. [DOI: https://dx.doi.org/10.1111/j.1747-4949.2012.00900.x]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
This study presents the development and content validation of an instrument assessing the ability to communicate among individuals with aphasia. The study consists of three stages: (i) Selection and definition of the component dimensions and areas, construction of items assessing these dimensions, administration instructions, and qualitative criteria for assigning diagnoses; (ii) Face validity and content validity; (iii) Pilot test. The tentative questionnaire was designed using two defining characteristics of the NANDA-I (“Impaired verbal communication” and “Readiness for enhanced communication”) and the NOC outcome indicators “Communication”, “Communication: Expressive”, “Communication: Receptive”, and “Information Processing”. The areas and items reached initial content validity index (CVI) and representativeness index (RI) values of 0.87 and above. Those that did not reach the expected values were modified after expert review. The resulting questionnaire was pilot-tested for feasibility and administration times. An instrument containing five dimensions, fourteen areas, and 43 items was obtained and administered in 15 (12–31) minutes. A panel of experts evaluated the final questionnaire (CEECCA), awarding its areas and items CVI and RI values of 0.90 and above. In the absence of further psychometric studies, the questionnaire appears to be useful for assessing ability to communicate in individuals with aphasia.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details

1 Primary Care Management of Tenerife, The Canary Islands Health Service, 38003 Santa Cruz de Tenerife, Spain
2 Training and Research in Care, Primary Care Management of Tenerife, The Canary Islands Health Service, 38204 Santa Cruz de Tenerife, Spain;
3 Faculty of Healthcare Sciences, Department of Nursing, University of La Laguna, 38200 Santa Cruz de Tenerife, Spain;