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The Neonatal Palliative Care Attitude Scale: Psychometric properties for Portuguese neonatal nurses

Published online by Cambridge University Press:  12 July 2022

Fátima Pacheco Sousa*
Affiliation:
Neonatal Intensive Care Unit, North Lisbon University Hospital Centre, Santa Maria Hospital, Lisbon, Portugal Nursing Research, Innovation and Development Centre of Lisbon (CIDNUR), Nursing School of Lisbon, Av. Prof. Egas Moniz, 1649-028 Lisbon, Portugal
Maria Graça Roldão
Affiliation:
Neonatal Intensive Care Unit, North Lisbon University Hospital Centre, Santa Maria Hospital, Lisbon, Portugal Nursing Research, Innovation and Development Centre of Lisbon (CIDNUR), Nursing School of Lisbon, Av. Prof. Egas Moniz, 1649-028 Lisbon, Portugal
Ana Marisa Rebotim
Affiliation:
Neonatal Intensive Care Unit, North Lisbon University Hospital Centre, Santa Maria Hospital, Lisbon, Portugal
Ana Rita Figueira
Affiliation:
Neonatal Intensive Care Unit, North Lisbon University Hospital Centre, Santa Maria Hospital, Lisbon, Portugal
Joana Barbosa
Affiliation:
Neonatal Intensive Care Unit, North Lisbon University Hospital Centre, Santa Maria Hospital, Lisbon, Portugal
Emília Fradique
Affiliation:
Neonatal Intensive Care Unit, North Lisbon University Hospital Centre, Santa Maria Hospital, Lisbon, Portugal
Maria Alice Santos Curado
Affiliation:
Nursing Research, Innovation and Development Centre of Lisbon (CIDNUR), Nursing School of Lisbon, Av. Prof. Egas Moniz, 1649-028 Lisbon, Portugal
*
Author for correspondence: Fátima Pacheco Sousa, Centro Hospitalar Universitário Lisboa Norte, Hospital de Santa Maria, Servicio de Neonatologia, Av. Prof. Egas Moniz, 1649-028 Lisbon, Portugal. E-mail: fmrpsousa@gmail.com
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Abstract

Background

This study is aimed to perform the translation and cultural adaptation of the Neonatal Palliative Care Attitude Scale (NiPCAS) and evaluation of its psychometric properties with Portuguese neonatal nurses.

Methods

The research started with a scoping review that allowed the identification of the NiPCAS. It was a methodological study with a quantitative approach. The semantic equivalence of the items was adjusted with the participation of 20 neonatal nurse experts. They performed facial and quantitative content validation. Psychometric validation of the NiPCAS was performed on a nonprobability nurses sample (n = 283) in 13 level 3 neonatal units between July 2021 and February 2022. Confirmatory factor analysis using the polychoric correlation matrix was performed to estimate factor validity using the “lavaan” package for R statistical software. Internal consistency was estimated using Cronbach's alpha coefficient, and item sensitivity was assessed using the asymmetry and kurtosis coefficients. Empirical indices were considered: chi-square over degrees of freedom; comparative fit index; normed fit index; Tucker–Lewis index, and root mean square error of approximation; average extracted variance and composite reliability were used to assess convergent validity.

Results

Asymmetry and kurtosis were <|3| and <|7|, respectively, suggesting psychometric sensitivity. The convergent validity of the factors was: F1, FCF1 = 0.90 and for F2, FCF2 = 0.80, and a lower value for F3, FCF3 = 0.40. According to the squared correlation criterion average variance extracted (AVE) between the factors, there was no discriminant validity for F1 and F2, but there was discriminant validity for F1, F3, F2, and F3.

Significance of results

This instrument has implications for providing end-of-life care to newborns and their families. The use of this instrument reveals several barriers and facilitating elements inherent in the organization and culture of the facility and nursing education.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

Introduction

Scientific and technological progress in the field of neonatology has enabled the survival of premature newborns at the limit of viability and other newborns with very severe pathologies. However, the possibility of a healthy life with well-being is decreasing due to morbidity, disability, and complex chronic diseases (CCD) that are life-limiting or life-threatening (Wolke et al., Reference Wolke, Johnson and Mendonça2019). Therefore, neonatal intensive care units (NICU) need to adopt a palliative care model that supports newborns and their families (Quinn and Gephart, Reference Quinn and Gephart2016; Kilcullen and Ireland, Reference Kilcullen and Ireland2017) to improve the quality of life, dignity, and comfort and positively influence disease progression.

Neonatal palliative care (NPC) requires a holistic, active approach that includes physical, developmental, emotional, social, and spiritual elements. The goal of NPC is to prevent, control, and alleviate pain and symptoms of the suffering newborn and provide psychosocial support to the family (Carter, Reference Carter2004; Sataloff et al., Reference Sataloff, Johns and Kost2018). NPC is not only about death, but also about helping children and families live their lives to the fullest while facing complex medical conditions (Himelstein, Reference Himelstein2006). Palliative care helps to improve children's quality of life and support their families, even as they grieve (Catlin and Carter, Reference Catlin and Carter2002).

Palliative care should be considered when there is prenatal or postnatal diagnosis through genetic and other tests, and the agreement of the multidisciplinary team as to prognosis, as well as the agreement of the parents. Palliative care for newborns is important in cases of severe prematurity or severe congenital anomalies, such as anencephaly, congenital diaphragmatic hernia, trisomy 13 or 18, and bilateral renal agenesis. Also when there is a high risk of morbidity or death (e.g., hypoplastic left heart syndrome and severe bilateral hydronephrosis), postnatal situations with a high risk of sequelae and impaired quality of life (e.g., severe hypoxic-ischemic encephalopathy, severe intraventricular hemorrhage, brain ischemia, and permanent neurodevelopmental disorders) (Sataloff et al., Reference Sataloff, Johns and Kost2018). These newborns have a short existence and those who survive have high morbidity and, therefore, benefit from the implementation of palliative care.

The decision to initiate NPC should take into account the relevant facts related to the newborn's medical condition, the opinion of caregivers, including parents, and, if necessary, the opinion of an expert palliative care team and the ethics committee (Alshehri et al., Reference Alshehri, Olausson and Öhlén2020), defining an integrated, individualized, and dynamic care plan that allows for consistent decision-making and care delivery.

The transition to palliative care in the NICU is still inconsistent and depends on the opinion and attitude of individual health professionals, the demands of parents, and the organization's policy (Kain and Willkinson, Reference Kain and Willkinson2013; Oliveira et al., Reference Oliveira, Cleveland and Darilek2018; Beckstrand et al., Reference Beckstrand, Isaacson and Macintosh2019). The lack of knowledge of diagnosis and uncertainty of prognosis, lack of education and training, non-acceptance of the newborn's death (Martin, Reference Martin2013; Quinn and Gephart, Reference Quinn and Gephart2016), unsuitable physical environment, and shortage of resources (Cerratti et al., Reference Cerratti, Tomietto and Della Pelle2020; Sadeghi et al., Reference Sadeghi, Hossein and Seyyd2021) are some of the challenges or barriers that healthcare professionals encounter when making decisions about discontinuing curative treatment. These barriers lead to emotional distress, avoidance, frustration, and sadness. They affect health workers’ attitudes toward palliative care and the end of life and hinder family-centered and non-traumatic care.

To recognize the barriers and facilitator elements for the implementation of NPC in the NICU and to understand the nurses’ attitudes toward palliative care, Victoria Kain developed the Neonatal Palliative Care Attitude Scale (NiPCAS; Kain et al., Reference Kain, Gardner and Yates2009). This instrument has important implications for perceptions, attitudes, and the way neonatal nurses provide care to newborns and their families in end-of-life circumstances or when prognoses are very reserved and involve CCD that will accompany families after discharge (Kain et al., Reference Kain, Gardner and Yates2009). The use of NiPCAS highlighted the difficulties that exist in providing PC to newborns and their families and the need to implement policies that help health professionals to make consistent and holistic decisions (Cavinder, Reference Cavinder2014; Forouzi et al., Reference Forouzi, Banazadeh and Ahmadi2017; Cerratti et al., Reference Cerratti, Tomietto and Della Pelle2020; Di and Chin, Reference Di and Chin2020; Ismail et al., Reference Ismail, Mahrous and Mokbel2020; Kyc et al., Reference Kyc, Bruno and Shabanova2020).

Portuguese nurses also face challenges in caring for newborns in end-of-life situations. For example, they experience difficulties in making end-of-life decisions and reported having already had conflict situations with other health professionals due to differences of opinion. They experience ambivalent, negative, and powerless emotions which influence the quality of care (Carvalhais et al., Reference Carvalhais, Pereira and Pinho2019; Silva et al., Reference Silva, Silva and Silva2019). In Portugal and the Portuguese language, no known instrument assesses nurses’ attitudes toward NPC. Therefore, this study aimed to perform the translation and cultural adaptation of the NiPCAS and the assessment of its psychometric properties with Portuguese neonatal nurses.

Methods

Methodological type and design

This methodological study with a quantitative approach was conducted in three phases: (1) conducting secondary research, namely a scoping review to identify an instrument that assesses nurses’ attitudes toward palliative care in the NICU; (2) translation and cultural adaptation of the NiPCAS (12 items) and data collection; and (3) assessment of the psychometric properties of the Portuguese version of the NiPCAS (12 items).

The research process complied with ethical–legal principles and the boards of directors and ethics committees of the hospitals involved, and a Data Protector Officer approved it. All nurses signed informed consent forms.

Phase I: Identification of the instrument to assess nurses’ attitudes toward palliative care in the NICU

A scoping review preceded the current study. One of its purposes was to identify in the scientific literature the instruments that assess nurses’ attitudes toward palliative care in the NICU. The search considered studies written in Portuguese, English, French, and Spanish, which were published between 2016 and 2021. Through the thematic analysis of the 16 articles included in the review, it was identified an instrument developed for the specific context of neonatology to examine the nurses’ attitudes toward palliative care, namely the NiPCAS (Kain, Reference Kain2006; Kain et al., Reference Kain, Gardner and Yates2009).

Phase II: Translation and cultural adaptation of the NiPCAS

The original author of NiPCAS authorized its translation and adaptation to the Portuguese cultural context and language. Following the recommendations of Cross-Cultural Adaptation of Health-Related Quality-of-Life Measures (Guillemin et al., Reference Guillemin, Bombardier and Beaton1993), two independent translators, bilingual in English and Portuguese, translated NiPCAS into Portuguese. The Portuguese versions were back-translated into English, again by two independent translators. The Portuguese and English versions were compared, looking for discrepancies that were discussed with the translators and the authors of the study resulting in one preliminary Portuguese version of the NiPCAS scale. A content evaluation panel was set up with 20 experts, nurses in the field of neonatology, to quantify the content validity of the NiPCAS preliminary Portuguese version according to the method proposed by Lawshe (Reference Lawshe1975). The experts were asked to assess each item of the instrument as “Not necessary”, “Useful, but not essential,” and “Essential” to assess nurses’ attitudes toward palliative care in the NICU. The minimum critical content validity ratio (CVR) proposed by Lawshe for a content assessment panel of 20 experts is a CVR of 0.42. The answers of the content assessment panel show that of the 26 questions assessed, 10 scored a CVR of < 0.42 (less than half), and 16 of the 20 experts (80%) considered the items of the draft Portuguese version of the NiPCAS as “essential”. According to Lawshe's method, a level of 50% agreement between the experts gives some assurance of content validity, and the more experts consider the item “essential”, the higher the level of its content validity.

A pretest was conducted after content validation, with 30 neonatal nurses at a level 3 NICU, who were invited to provide suggestions to improve the wording of the items. Those with less consensus were reformulated, and at the end of NiPCAS content validation, all items were kept.

Once considering the cross-cultural adaptation performed, the final instrument was named NiPCAS-PT.

Data collection

Sample

Data collection took place between July 2021 and February 2022 in 13 level 3 NICUs in mainland Portugal and Madeira Island. The NiPCAS-PT scale was converted into a Google form whose URL was sent by email to participants after their written consent. A socio-demographic questionnaire was included to characterize the participants.

A nonrandom convenience sampling (Marôco, Reference Marôco2018) was carried out, with the participation of Portuguese neonatal nurses. It was used the sample-to-item ratio criterion to calculate the sample size. This criterion is based on the number of items of the instrument under the study. The ratio should not be less than 5-to-1 (Memon et al., Reference Memon, Ting and Cheah2020). In the present study, the ratio used was 20-to-1, which guaranteed the principle of variability to estimate the parameters (Curado et al., Reference Curado, Maroco and Vasconcellos2017). Since NiPCAS-PT is composed of 12 items, at least 240 respondents were required. A total of 384 electronic questionnaires were sent out and 283 neonatal nurses replied, corresponding to 73.7% of the questionnaires sent out.

Instrument

Neonatal Palliative Care Attitude Scale

The original instrument developed by Kain et al. (Reference Kain, Gardner and Yates2009) to measure the Barriers and Facilitators of Palliative Care in Neonatal Nursing is a 5-point scale (strongly disagree to strongly agree), which is composed of 26 items and 6 factors. After its factorial and confirmatory analysis, the items were reduced to 12 and the factors to 3. Factor 1 — Organization (items 5, 8, 15, 16, and 19) measures the extent to which the institutional setting in which the neonatal nurses operate presents barriers to and facilitators of palliative care practice. Factor 2 — Resources (items 6, 7, 13, 14, and 24) measure the available resources to support a palliative model of care. Factor 3 — Clinician (items 20 and 21) measure a construct relating to the attitudes, in terms of moral and ethical concerns of clinicians. The remaining 14 items were used to assess nurse's experiences and beliefs about palliative care.

The NiPCAS-PT presents the same factor structure (3 factors) and integrates the same 12 items which is in line with Kain's scale and other studies (Kain et al., Reference Kain, Gardner and Yates2009; Forouzi et al., Reference Forouzi, Banazadeh and Ahmadi2017; Cerratti et al., Reference Cerratti, Tomietto and Della Pelle2020; Akay and Aytekin, Reference Akay and Aytekin2021; Kachlová and Bužgová, Reference Kachlová and Bužgová2021). Table 1 shows the descriptors of NiPCAS-PT and the items numbered according to the original scale, which acquire new numbering in the Portuguese version.

Table 1. Descriptors of the NiPCAS, Portuguese version (NiPCAS-PT) associated with English numerals (NiPCAS)

Ethical considerations

The Board of Directors, Ethics Committee, Data Protector, and the Nursing Boards of the 13 NICUs that agreed to participate approved this study. All participants signed the informed consent and willingly provided the email to which the electronic form was sent.

Third phase: Psychometric validation

Data analysis

Descriptive data analysis was carried out using the Statistical Package for the Social Sciences for Windows v. 26 (IBM®, SPSS® Inc., New York, NY, USA). The confirmatory factor analysis (CFA) was used by applying the polychoric correlation matrix, which was performed on the lavaan package for R Statistical Software. Descriptive statistics in terms of percentages and frequencies were used to analyze the socio-demographic characteristics. Internal consistency was estimated using Cronbach's alpha coefficient, adequate if α ≥ 0.70 (Hill and Hill, Reference Hill and Hill2008).

Item sensitivity was assessed using asymmetry (g 1) and kurtosis (g 2) coefficients. We established that the items with values ranging between the maximum and minimum of the measurement scale and with low absolute asymmetry (g 1) and kurtosis (g 2) values of g 1<|3| and g 2 <|7|, respectively (Kline, Reference Kline2016), showed psychometric sensitivity (Marôco, Reference Marôco2021). For the items, we considered factor loadings above the reference value of β = 0.40. CFA was used to estimate factor validity, applying the polychoric correlation matrix (ordinal data) lavaan package for R Statistical Software. The following empirical indices were set to assess goodness of fit of the factor model: chi-square over degrees of freedom (χ 2/df ≤ 4.0); Comparative Fit Index (CFI ≥0.90); Normed Fit Index (NFI ≥ 0.90); Tucker–Lewis index (TLI ≥ 0.90), and root mean square error for approximation (RMSEA) (≤0.10). Average variance extracted (AVE) and composite reliability (CR) were used to evaluate convergent validity (adequate if AVE ≥ 0.50 and CR ≥ 0.70) (Fornell and Larcker, Reference Fornell and Larcker1981).

Results

Characteristics of the participants

A total of 283 neonatal nurses from 13 level 3 NICUs were participated in the study. Of the participants, 95% were female and 5% were male. The age ranged between 21 and 64 years old (minimum = 21, maximum = 64), and the average age was 39 years old (mean = 38.67; SD = 10.33). Regarding religion, 73% practiced religion and 27% did not. Of the practitioners, 71% were Catholics, 1% were Spiritists, and 1% Jehovah's Witnesses. The length of service in the NICU was between 1 and 43 years with an average of 13 years (mean = 12.72; SD = 9.47). With regard to academic background, 57.9% had a degree in nursing, 24.1% had a specialty, and of these, 33% had a specialty in child health and pediatric nursing; 17.2% had a Master's degree, and 0.8% a PhD in Nursing. In relation to specific training in palliative care, 67.4% of the nurses had no training in palliative care.

Psychometric properties of NiPCAS-PT

The psychometric properties were assessed by the estimation of the sensitivity, validity, and reliability of the 12 items in the three factors using a sample of 283 neonatal nurses.

The sensitivity of the items was assessed with the asymmetry and kurtosis coefficients, considering that the items present psychometric sensitivity if g 1<|3| and g 2 <|7|.

The reliability of the NiPCAS-PT factors was estimated from the internal consistency of the items using Cronbach's alpha coefficient (adequate if α ≥ 0.70).

Table 2 presents the descriptive statistics for the NiPCAS-PT items.

Table 2. Median (Me), Maximum (Max.), and Minimum (Min.) values and measures of shape – asymmetry (g 1) and kurtosis (g 2) for the 12 items of the NiPCAS-PT (n = 283)

All the absolute values of 12 items for g 1 and g 2 were below |3| and |7|, respectively, which show a good sensitivity.

Table 3 shows the factor loadings and the Cronbach's alpha value (α) of the 12 items of the NiPCAS-PT: total α = 0.76; for Factor 1 — Organization (5 items): α = 0.75; Factor 2 — Resources (5 items): α = 0.60; and Factor 3 — Clinician (2 items): α = 0.30.

Table 3. Factor loadings obtained from the CFA applying a polychoric correlation matrix and internal consistency analysis (Cronbach's α) of the three factors of the NiPCAS-PT (12 items) (n = 283)

The items’ standardized estimates show factor weights, which were mostly higher than the reference value (β = 0.40), with items 10 and 11 having a factor loading slightly below that value.

Validity

CFA was used to estimate factor validity, applying the polychoric correlation matrix. The polychoric correlation matrix is a measure of association for ordinal variables (Ekström, Reference Ekström2011).

Figure 1 shows the NiPCAS-PT factor model, with the factor loadings and goodness-of-fit indices that support the three factors. The empirical indices of the goodness of fit of the factor model showed a good overall fit, even though two of the items had low weights (0.39). The empirical indices of the NiPCAS-PT model's goodness of fit to the variance and covariance data of the items were considered: chi-square over degrees of freedom χ2/df = 2.02; CFI = 0.95; NFI = 0.91; TLI = 0.94; and RMSEA = 0.06.

Fig. 1. CFA of the NiPCAS-PT 3 factorial model.

CR estimates the internal consistency of the reflective items of the factor or construct. The results of the NiPCAS-PT factors showed appropriate values for Factor 1 (FCF1 = 0.90) and Factor 2 (FCF2 = 0.80), and a lower value for Factor 3 (FCF3 = 0.40). According to the AVE-squared correlation between factors criterion, there was no discriminant validity for F1 and F2 (AVEF1 = 0.42, AVEF2 = 0.30 < R 2 = 0.73), but there was discriminant validity for F1 and F3 (R 2 = 0.04) and F2 and F3 (R 2 = 0.02).

Discussion

The NiPCAS, Portuguese version (NiPCAS-PT) showed good item sensitivity; the absolute values for skewness and kurtosis were below |3| and |7|, respectively. The internal consistency was adequate for the 12 items, and for the five items of F1 — Organization, and F2 — Resources, respectively. However, was not adequate for F3 — Clinician, probably because that factor only included two items. There were two items with low weights (less than 0.4), but even so, the global adjustment of the model was good. According to the AVE squared correlation between factors criterion, there was no discriminant validity for F1 and F2, but there was discriminant validity for F1 and F3 and F2 and F3.

According to those results, the Portuguese version of the NiPCAS was found to be a valid and reliable instrument for the assessment of nurses’ attitudes toward NPC in the Portuguese population and to identify the barriers and facilitators of providing palliative care in the NICU.

Study limitations

A limitation of the current study was the use of a nonrandom convenience sample. The sample size was not large, but it met the assumption of 20 responses per item. This guaranteed the principle of variability to estimate the parameters.

Conclusions

The translation and adaptation to the Portuguese cultural context and language and the statistical validation of the NiPCAS-PT for Portuguese neonatal nurses provide a valid instrument for determining attitudes toward NPC.

In addition to identifying barriers and facilitators of palliative care, this tool allows the identification of the training needs of neonatal nurses and the gaps in institutions with regard to the existence of policies related to the implementation of palliative care in the NICU.

Acknowledgments

The authors thank the neonatal nurses who participated in the study and made this research possible.

Funding

The Santa Maria Children Association (North Lisbon University Hospital Centre, Santa Maria Hospital) awarded this study a research grant for 1500 euros, and CIDNUR financed the article translation and publication results.

Conflict of interest

None declared.

References

REFERENCES

Akay, G and Aytekin, O (2021) Validity and reliability of the neonatal palliative care attitude scale in Turkey. Florence Nightingale Journal of Nursing 29(2), 212220. doi:10.5152/fnjn.2021.20041CrossRefGoogle ScholarPubMed
Alshehri, H, Olausson, S, Öhlén, J, et al. (2020) Factors influencing the integration of a palliative approach in intensive care units: A systematic mixed-methods review. BMC Palliative Care 19(1). doi:10.1186/s12904-020-00616-yGoogle Scholar
Beckstrand, RL, Isaacson, RF, Macintosh, JLB, et al. (2019) NICU nurses’ suggestions for improving end-of-life care obstacles. Journal of Neonatal Nursing 25(1), 3236. doi:10.1016/j.jnn.2018.08.004CrossRefGoogle Scholar
Carter, BS (2004) Providing palliative care for newborns. Pediatric Annals 33(11), 770777. doi:10.3928/0090-4481-20041101-12CrossRefGoogle ScholarPubMed
Carvalhais, M, Pereira, A, Pinho, A, et al. (2019) End of life in neonatology: Experiences of health professionals in neonatal palliative care. Millenium — Journal of Education, Technologies, and Health 2(9), 9198. doi:10.29352/mill0209.08.00229Google Scholar
Catlin, A and Carter, B (2002) Creation of a neonatal end-of-life palliative care protocol. Journal of Perinatology 22(3), 184195. doi:10.1038/sj.jp.7210687CrossRefGoogle ScholarPubMed
Cavinder, C (2014). Influence of a Palliative Care Protocol on Nurses’ Perceived Barriers to Palliative care and Moral Distress. Evidence-Based Practice Project Reports. Paper 55. https://scholar.valpo.edu/cgi/viewcontent.cgi?article=1055&context=ebprGoogle Scholar
Cerratti, F, Tomietto, M, Della Pelle, C, et al. (2020) Italian nurses’ attitudes towards neonatal palliative care: A cross-sectional survey. Journal of Nursing Scholarship 52(6), 661670. doi:10.1111/jnu.12600CrossRefGoogle ScholarPubMed
Curado, A, Maroco, J, Vasconcellos, T, et al. (2017) Validation of the early feeding skills assessment scale for the Portuguese population. Revista de Enfermagem Referência 4(12), 131141. doi:10.12707/RIV16070CrossRefGoogle Scholar
Di, S and Chin, N (2020) Neonatal Nurses ‘ Perceptions Of Providing Palliative. New York: The Barbara H.Hagan School of Nursing & Health Sciences.Google Scholar
Ekström, J (2011). A generalized definition of the polychoric correlation coefficient. In UCLA Department of Statistics Papers. Available at: https://escholarship.org/uc/item/583610fvGoogle Scholar
Fornell, C and Larcker, DF (1981) Evaluating structural equation models with unobservable variables and. Journal of Marketing Research XVIII(February), 3950. doi:10.1177%2F002224378101800104CrossRefGoogle Scholar
Forouzi, A, Banazadeh, M and Ahmadi, R (2017) Barriers of palliative care in neonatal intensive care units: Attitude of neonatal nurses in southeast Iran. American Journal of Hospice and Palliative Medicine 34(3), 205211. doi:10.1177/1049909115616597CrossRefGoogle Scholar
Guillemin, F, Bombardier, C and Beaton, D (1993) Cross-cultural adaptation of health-related quality of life measures: Literature review and proposed guidelines. Journal of Clinical Epidemiology 46(12), 14171432. doi:10.1016/0895-4356(93)90142-NCrossRefGoogle ScholarPubMed
Hill, MM and Hill, A (2008) Investigação por Questionário. 2nd ed. Lisboa:Edições Sílabo, 377p. ISBN: 972-618-223-5.Google Scholar
Himelstein, BP (2006) Palliative care for infants, children, adolescents, and their families. Journal of Palliative Medicine 9(1), 163181. doi:10.1089/jpm.2006.9.163CrossRefGoogle ScholarPubMed
Ismail, M, Mahrous, E and Mokbel, R (2020) Facilitators and barriers for delivery of palliative care practices among nurses in neonatal intensive care unit. International Journal of Nursing and Health Science 6(01), 1828. doi:10.14445/24547484/ijnhs-v6i1p103CrossRefGoogle Scholar
Kachlová, M and Bužgová, R (2021) The attitudes of neonatological nurses to providing perinatal palliative care. Kontakt 23(4), 240246. doi:10.32725/kont.2021.036CrossRefGoogle Scholar
Kain, V (2006) Palliative care delivery in the NICU: What barriers do neonatal nurses face? Neonatal Network: NN 25(6), 387392. doi:10.1891/0730-0832.25.6.387CrossRefGoogle ScholarPubMed
Kain, V and Willkinson, D (2013) Neonatal palliative care in action: Moving beyond the rhetoric and influencing policy. Journal of Research in Nursing 18(5), 459468. doi:10.1177/1744987113490713CrossRefGoogle Scholar
Kain, V, Gardner, G and Yates, P (2009) Neonatal palliative care attitude scale: Development of an instrument to measure the barriers to and facilitators of palliative care in neonatal nursing. Pediatrics 123(2). doi:10.1542/peds.2008-2774CrossRefGoogle ScholarPubMed
Kilcullen, M and Ireland, S (2017) Palliative care in the neonatal unit: Neonatal nursing staff perceptions of facilitators and barriers in a regional tertiary nursery. BMC Palliative Care 16(1), 112. doi:10.1186/s12904-017-0202-3CrossRefGoogle Scholar
Kline, R (2016) Principles and practices of structural equation modelling. In Methodology in the Social Sciences, 4th ed. New York: The Guilford Press, 534 p.Google Scholar
Kyc, S, Bruno, C, Shabanova, V, et al. (2020) Perceptions of neonatal palliative care: Similarities and differences between medical and nursing staff in a level IV neonatal intensive care unit. Journal of Palliative Medicine 23(5), 662669. doi:10.1089/jpm.2019.0523CrossRefGoogle Scholar
Lawshe, C (1975) A quantitative approach to content validity. Personnel Psychology 28(4), 563575. doi:10.1111/j.1744-6570.1975.tb01393.xCrossRefGoogle Scholar
Marôco, J (2018). Análise estatística com o SPSS statistics (Pero Pinheiro: João Marôco (ed.); 7a). Report Number.Google Scholar
Marôco, J (2021). Análise de Equações Estruturais. Fundamentos teóricos, Software e Aplicações (Report Number (ed.), 2nd ed.). Report Number.Google Scholar
Martin, M (2013) Missed opportunities: A case study of barriers to the delivery of palliative care on neonatal intensive care units. International Journal of Palliative Nursing 19(5), 251256. doi:10.12968/ijpn.2013.19.5.251CrossRefGoogle Scholar
Memon, M, Ting, H, Cheah, J, et al. (2020) Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling 4(2), ixx. doi:10.47263/jasem.4(2)01CrossRefGoogle Scholar
Oliveira, F, Cleveland, L, Darilek, U, et al. (2018) Brazilian neonatal nurses’ palliative care experiences. Journal of Perinatal and Neonatal Nursing 32(4), E3E10. doi:10.1097/JPN.0000000000000361CrossRefGoogle Scholar
Quinn, M and Gephart, S (2016) Evidence for implementation strategies to provide palliative care in the neonatal intensive care unit. Advances in Neonatal Care 16(6), 430438. doi:10.1097/ANC.0000000000000354CrossRefGoogle ScholarPubMed
Sadeghi, N, Hossein, H, Seyyd, A, et al. (2021) Barriers to palliative care in the neonatal intensive care unit from nurses’ perspective: A qualitative study. Medical-Surgical Nursing Journal 10(2), 18. doi:10.5812/msnj.120664CrossRefGoogle Scholar
Sataloff, RT, Johns, MM and Kost, KM (2018). Integrating palliative care and symptom relief into paediatrics: A WHO guide for health care planners, implementers and managers. World Health Organization. Available at: https://www.who.int/health-topics/palliative-careGoogle Scholar
Silva, E, Silva, M and Silva, D (2019) Perception of health professionals about neonatal palliative care TT — La percepción de los profesionales de la salud sobre los cuidados paliativos neonatales TT — Perceção dos profissionais de saúde sobre os cuidados paliativos neonatais. Revista Brasileira de Enfermagem 72(6), 17071714. doi:10.1590/0034-7167-2018-0842CrossRefGoogle Scholar
Wolke, D, Johnson, S and Mendonça, M (2019) The life course consequences of very preterm birth. Annual Review of Developmental Psychology 1(1), 6992. doi:10.1146/annurev-devpsych-121318-084804CrossRefGoogle Scholar
Figure 0

Table 1. Descriptors of the NiPCAS, Portuguese version (NiPCAS-PT) associated with English numerals (NiPCAS)

Figure 1

Table 2. Median (Me), Maximum (Max.), and Minimum (Min.) values and measures of shape – asymmetry (g1) and kurtosis (g2) for the 12 items of the NiPCAS-PT (n = 283)

Figure 2

Table 3. Factor loadings obtained from the CFA applying a polychoric correlation matrix and internal consistency analysis (Cronbach's α) of the three factors of the NiPCAS-PT (12 items) (n = 283)

Figure 3

Fig. 1. CFA of the NiPCAS-PT 3 factorial model.