Abstract
Objective
Develop and validate a quality assessment matrix for long-term facilities for old people, using the integrated multidimensional model of quality and care as the theoretical framework.
Method
This is a methodological study that selected 66 variables included in the census of the Unified System of Social Assistance, to assess the seven dimensions of quality proposed by the model. The modified Delphi technique was used for validation with the participation of 15 experts who used the Survey Monkey® online platform, until a minimum of 75% consensus was reached. 18 indicators were proposed and two validation cycles were needed until consensus.
Results
In the first cycle, all indicators were considered relevant, represented the concept and demonstrated consistency with the theoretical dimension of quality. There was a need to review the calculation formula for two indicators, which was considered adequate by more than 75% of experts in the second validation cycle.
Conclusion
The matrix proved to be valid and can be used in the process of evaluating and monitoring the quality of the facilities participating in the Unified Social Assistance System Census, contributing to define priorities for the permanent improvement of the care provided.
Keywords
Quality Control; Homes for the Aged; Indicators of Health Services; Health Services for the Aged
Resumo
Objetivo
Desenvolver e validar uma matriz de avaliação da qualidade de Instituições de Longa Permanência para pessoas idosas, tendo como referencial teórico o modelo multidimensional integrado de qualidade e atendimento.
Método
Trata-se de um estudo metodológico que selecionou 66 variáveis contempladas no censo do Sistema Único da Assistência Social, para avaliar as sete dimensões de qualidade propostas pelo modelo. A técnica Delphi modificada foi empregada para a validação com a participação de 15 experts que utilizaram a plataforma on-line Survey Monkey®, até a obtenção de, no mínimo, 75% de consenso. Foram propostos 18 indicadores e necessários dois ciclos de validação até o consenso.
Resultados
No primeiro ciclo, todos os indicadores foram considerados relevantes, representaram o conceito e demonstraram coerência com a dimensão teórica da qualidade. Houve necessidade de revisão da fórmula de cálculo de dois indicadores, que foi considerada adequada por mais de 75% dos experts no segundo ciclo de validação.
Conclusão
A matriz mostrou-se válida e poderá ser utilizada no processo de avaliação e monitoramento da qualidade das Instituições participantes do Censo do Sistema Único de Assistência Social, contribuindo para definir prioridades para a permanente melhoria dos cuidados prestados.
Palavras-Chave:
Controle de Qualidade; Instituições de Longa Permanência para Idosos; Indicadores de Serviços; Serviços de Saúde para Idosos
Introduction
Population aging is a worldwide phenomenon resulting from the decrease in fertility rates and the increase in life expectancy associated with improvements in the population’s living conditions11 Santos VP, Lima WR, Rosa RS, Barros IM, Boery RN, Ciosak SI. Perfil de saúde de idosos muito velhos em vulnerabilidade social na comunidade. Rev Cuid. 2018;9(3):2322-37. Disponível em: http://dx.doi.org/10.15649/cuidarte.v9i3.542. This accelerated demographic transition requires attention to ensure better living conditions for old people22 Miranda GM, Mendes AD, Silva AL. O envelhecimento populacional brasileiro: desafios e consequências sociais atuais e futuras. Rev Bras Geriatr Gerontol. 2016;19(3):507-19. Disponível em: https://doi.org/10.1590/1809-98232016019.150140,33 Travassos GF, Coelho AB, Arends-Kuenning MP. Os idosos no Brasil: transição demográfica, perfil e condição socioeconômica. Rev Bras Estud Popul. 2020;37:e0129. Disponível em: http://dx.doi.org/10.20947/s0102-3098a0129.
Among the regulated support services for old people, the Long-Term Care Facilities for Old People (LTCF) stand out. These facilities incorporate care aimed at social and emotional life, the needs of daily life and health care44 Brasil. Resolução da Diretoria Colegiada da Agência Nacional de Vigilância Sanitária- RDC nº 283, de 26 de setembro de 2005. Regulamento Técnico para o Funcionamento das Instituições de Longa Permanência para Pessoas idosas. Diário Oficial da União. Setembro 2005. Disponível em: http://bvsms.saude.gov.br/bvs/saudelegis/anvisa/2005/res0283_26_09_2005.html
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. Although a census carried out in the Brazilian territory has shown that less than 1% of the old people population live in LTCF55 Camarano AA, Kanso S. As instituições de longa permanência para pessoas idosas no Brasil. Rev Bras Estud Popul. 2010;27(1):232-5. Disponível em: http://dx.doi.org/10.1590/S0102-30982010000100014, an increase in institutionalization is expected as a consequence of aging and family dynamics changes33 Travassos GF, Coelho AB, Arends-Kuenning MP. Os idosos no Brasil: transição demográfica, perfil e condição socioeconômica. Rev Bras Estud Popul. 2020;37:e0129. Disponível em: http://dx.doi.org/10.20947/s0102-3098a0129,66 Castle NG, Ferguson JC. What is nursing home quality and how is it measured? Gerontologist. 2010;50(4):426-42. Disponível em: https://doi.org/10.1093/geront/gnq052.
In the literature, there are several studies aimed at the analysis of LTCF77 Spilsbury K, Hewitt C, Stirk L, Bowman C. The relationship between nurse staffing and quality of care in nursing homes: a systematic review. Int J Nurs Stud. 2011;48(6):732-50. Disponível em: https://doi.org/10.1016/j.ijnurstu.2011.02.014
8 Oliveira WI, Hernández PJ, Sousa KD, Piuvezam G, Gama ZA. Equivalência semântica, conceitual e de itens do observable indicators of nursing home care quality instrument. Ciênc Saúde Colet. 2016;21(7):2243-56. Disponível em: https://doi.org/10.1590/1413-81232015217.08282015-99 Guimarães LD, Brito TA, Pithon KR, Jesus CS, Souto CS, Souza SJ, et al. Sintomas depressivos e fatores associados em idosos residentes em instituição de longa permanência. Ciênc Saúde Colet. 2019;24(9):3275-82. Disponível em: http://dx.doi.org/10.1590/1413-81232018249.30942017, however, most of these studies have specific cuttings about the health of old people residents1010 Medeiros PA, Fortunato AR, da Fonseca VA, Sperandio FF, Mazo GZ. Instruments developed for the management and care of the Older Adults in long-stay care institutions: a systematic review. Ciênc Saúde Colet. 2016;21(11):3597-610. Disponível em: http://dx.doi.org/10.1590/1413-812320152111.09912015. In Brazil, LTCF are regulated by the Collegiate Board Resolution - RDC nº 283 of September 26, 2005 (RDC - Anvisa)44 Brasil. Resolução da Diretoria Colegiada da Agência Nacional de Vigilância Sanitária- RDC nº 283, de 26 de setembro de 2005. Regulamento Técnico para o Funcionamento das Instituições de Longa Permanência para Pessoas idosas. Diário Oficial da União. Setembro 2005. Disponível em: http://bvsms.saude.gov.br/bvs/saudelegis/anvisa/2005/res0283_26_09_2005.html
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, which provides for the evaluation of services provided through some indicators: mortality and incidence rates of diarrhea diseases, scabies, dehydration, decubitus ulcer and malnutrition in old people. These outcome indicators have been used in evaluation studies that mostly adopt quality measures focused on medical care and clinical conditions of residents66 Castle NG, Ferguson JC. What is nursing home quality and how is it measured? Gerontologist. 2010;50(4):426-42. Disponível em: https://doi.org/10.1093/geront/gnq052,77 Spilsbury K, Hewitt C, Stirk L, Bowman C. The relationship between nurse staffing and quality of care in nursing homes: a systematic review. Int J Nurs Stud. 2011;48(6):732-50. Disponível em: https://doi.org/10.1016/j.ijnurstu.2011.02.014.
However, quality is a multidimensional concept, of an objective or subjective nature, which can vary according to the interest of groups or social actors and with the context and objectives of the evaluation1111 Uchimura KY, Bosi ML. Qualidade e subjetividade na avaliação de programas e serviços em saúde. Cad Saúde Pública. 2002;18(6):1561-69. Disponível em: https://doi.org/10.1590/S0102-311X2002000600009. For LTCF, the definition of quality is even more complex because it can be confused with regulation, in addition to being subject to contextual influence and resident conditions. The Integrated Multidimensional Model of Quality and Care for facilities focused on long-term care for old people1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004 is a conceptual, multidimensional model developed specifically for Facilities focused on long-term care for old people, based on person-centered care. This model aggregates seven dimensions of quality defined based on the results of focus groups with professionals involved in the care of old people, family members and institutionalized old people. The adoption of this model1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004 can guide the development of indicators that seek a more comprehensive assessment of the quality of LTCF.
In Brazil, since 2012, the Ministry of Social Development has instituted the Unified Social Assistance System Census (SUAS Census), which includes the collection of data on Brazilian governmental and non-governmental LTCFs (which do not have an agreement with the government). The generation of data in the scope of the SUAS Census aims to provide subsidies for the construction and maintenance of monitoring and evaluation indicators of the Unified Social Assistance System1313 Martinelli T, Silva MB, Santos SR. Vigilância socioassistencial na política de assistência social: concepção e operacionalidade. Rev Katál. 2015;18(1):104-12. Disponível em: http://dx.doi.org/10.1590/1414-49802015000100010.
In this sense, taking the Integrated Multidimensional Quality model as a theoretical reference1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004 and the need for systematic evaluation of LTCF10, this study aims to develop and validate an evaluation matrix composed of indicators created using the SUAS Census variables. It is expected that this study will generate interpretable information and reveal aspects to be prioritized for the permanent improvement of the care provided in LTCF.
Method
This is a methodological study of the development of an evaluation matrix composed of indicators conducted from November 2019 to March 2020. The indicators were constructed using variables collected by the SUAS Census, described in the Census instructions, for the year 2018, of free access on the website of the Ministry of Social Development of Brazil1414 Censo SUAS Bases e Resultados Unidades de Acolhimento. 2017-2018. Brasília: SNAS; 2018 [acesso em 05 de jan. 2021]. Disponível em: http://aplicacoes.mds.gov.br/snas/vigilancia/index2.php
http://aplicacoes.mds.gov.br/snas/vigila...
.
For the development of the Evaluation Matrix indicators, 66 variables from the SUAS Census were selected, considering aspects of quality according to the seven theoretical dimensions of the Integrated Multidimensional Quality model (Chart 1)1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004 .
Quality dimensions of the Integrated Multidimensional Model of Quality and Service and concepts. Columbia, Missouri, United States of America, 1999.
The SUAS Census Database is fed annually by a public agent, by filling out an electronic questionnaire containing 586 variables grouped in six blocks (identification; characterization; user characteristics; reception services; physical structure and location; people management). The evaluation matrix was built from the set of indicators. For each of the indicators, the dimension of quality to which it would be related, the objective, the SUAS Census variables used in the indicator’s composition, the calculation formula, the way of calculating, interpreting and justifying the indicator were described.
The evaluation matrix was validated, using the modified Delphi technique. This technique allows experts to express their opinions on a given theme, through a participatory construction, until there is consensus, without contact between them1515 Spínola AD, Galviz-Spinola A. Delfos: proposta tecnológica alternativa. Scienc Open.com. 1981:1-9. Disponível em: https://www.scienceopen.com/document?vid=6b8915c5-2aa7-4c85-8a8f-75cfe7894d84
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. A variation of the Delphi technique, it is the “modified” technique that proposes a limit of cycles until consensus1616 Silva RF, Tanaka OY. Técnica Delphi: identificando as competências gerais do médico e do enfermeiro que atuam em atenção primária de saúde. Rev Esc Enferm USP. 1999;33(3):207-16. Disponível em: https://doi.org/10.1590/S0080-62341999000300001.
For validation, the evaluation matrix was formatted using the Survey Monkey® online data collection software. A script was developed for the experts to record their considerations regarding the indicators. Prior to the beginning of the validation cycles, all the material (evaluation matrix and validation script) was subjected to a pre-test by two professionals with experience in caring for the institutionalized old people, asking them to evaluate the ease of use of the Survey Monkey® platform, the clarity of the guidelines for validation and the adequacy of the matrix format, as well as the questions proposed in the validation script.
Validation by the “modified” Delphi technique was proposed with the participation of 15 experts with the following professional profiles: Public Health (2), Gerontology (4), Health Surveillance (1), Statistics (1), Nursing (3) and representatives of LTCF (4).
The validation script made it possible for experts to express their opinion regarding the relevance of the indicator, whether it represented the content of the theoretical dimension of quality, and about methodological transparency in the construction of the calculation formula1717 Jannuzzi MP. Indicadores para diagnóstico, monitoramento e avaliação de programas sociais no Brasil. Rev Serv Público. 2005;56(2):137-60. Disponível em: https://doi.org/10.21874/rsp.v56i2.222. The following statements were made: 1) The “x” indicator is relevant for assessing the quality of the LTCF. 2) The “x” indicator makes it possible to evaluate its “objective”, 3) The calculation method of the “x” indicator is easily understandable and reproducible, 4) The “x” indicator measures aspects of the “dimension x”. For each statement, the expert should choose one of the following answers: 0 disagree, 1 disagree in part, 2 agree in part and 3 agree. In addition, for each indicator, a field was included with the following guidance: “Please insert your observations, criticisms or suggestions in relation to the evaluated indicator in this space”. The Content Validity Index adopted was at least 75% of agreement among all experts1818 Pherson SM, Reese C, Wendler MC. Methodology Update: Delphi Studies. Nurs Res. 2018;67(5):404-10. Available from: https://doi.org/10.1097/NNR.0000000000000297. This percentage was computed considering the answer options partially agree and agree.
The experts were invited to participate in the validation of the evaluation matrix by personal e-mail, with standardized text for everyone. The invitation contained clarifications about the study, a Free and Informed Consent Form, the Evaluation Matrix and the validation script, available only to those who consented to participate in the study. Invitees who did not consent were replaced by others with the same training criteria established in the study.
In the subsequent steps, the report with the result of the previous validation cycle was consolidated, showing the percentage of agreement for each indicator, as well as the set of comments obtained and the justifications and explanations about the changes made. This report was made available to experts, maintaining anonymity. The study is in accordance with Resolution No. 466/2012 and Resolution No. 510/2016, and was presented and approved by the ethics and research committee through opinion No. 3,143,674.
Results
Two researchers participated in the pre-test phase. The comments received helped to make the information available on the Survey Monkey® online platform more clear. Also based on the researchers’ suggestions, the description of each quality dimension was included in the evaluation matrix before each corresponding indicator. This inclusion sought to facilitate the evaluation of indicators by experts regarding the issues presented in the validation script.
In the 1st validation cycle, all indicators were considered relevant and adequate to represent the dimension of quality proposed by more than 75% of the experts, as shown in Table 1. Regarding the calculation method, the experts considered that 78% of the indicators had formulas that are difficult to understand; however, they recognized methodological transparency and the possibility of reproduction, validating them in the first cycle of analysis, except for the method of calculating indicators 1 and 5. A new wording for the method of calculating the indicators considered difficult to understand was carried out and brought to the analysis of the experts in the 2nd validation cycle. As for indicators 1 and 5, new calculation formulas were developed, giving greater methodological transparency and the possibility of reproduction.
Content Validity Index of the indicators obtained in the 1st validation cycle in terms of relevance, objective evaluation, calculation method and measurement of aspects of the quality dimension. Belo Horizonte, Minas Gerais, Brazil, 2020.
In addition, in view of the considerations made by the experts in the 1st validation cycle, two variables considered similar to indicator 15 were aggregated. For indicator 16, the exclusion of the variable “registration or not of the Facility in the council for the rights of old people” was suggested, as it presents low representativeness in relation to the proposed dimension. In addition, the variable “the unit accepts to receive a transvestite, transsexual, transgender old person” was inserted in the calculation formula for indicator 1, as suggested by an expert.
The changes made and evaluated in the 2nd validation cycle were in relation to the calculation method, with regard, mainly, to the wording of the calculation formula. The methods for calculating the indicators, after being modified, were approved by more than 75% of the experts with the exception of the exclusion of the variable “registration or not of the Facility in the council for the rights of old people” from the calculation of indicator 16 (Table 2). The experts did not justify the reason for the non-approval of the proposal made in relation to indicator 16, however, as it was an indicator already validated in the 1st validation cycle, it was decided to maintain the calculation method presented in its initial version.
Changes made in the calculating method of the indicators based on the suggestions given by the experts in the 1st validation cycle and Content Validity Index for this criterion obtained in the 2nd validation cycle. Belo Horizonte, Minas Gerais, Brazil, 2020.
Chart 2 presents the validated Evaluation Matrix, composed of 18 indicators arranged in the first column, according to the respective dimensions of quality of the Integrated Multidimensional Model of Quality1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004, the SUAS Census variables used and the calculation formula for calculating the indicator and, finally, parameters for the interpretation of the indicators.
Evaluation Matrix dimensions of quality, indicators, SUAS census variables, calculation formula and parameters for interpretation. Belo Horizonte, Minas Gerais, Brazil, 2020.
Discussion
This study presents an important quality assessment tool for LTCF, containing 18 indicators in the seven theoretical dimensions of the Integrated Multidimensional Model of Quality1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004, elaborated from the perception of the subjects involved in the care of old people, their families and providers1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004. The study selected a set of variables to represent the concepts and develop the indicators, which were constituted in summary measures with information about the LTCF regarding the dimensions of quality.
The elaborated matrix will allow comparisons for evaluation and planning over time, in annual evaluation cycles, according to the SUAS census, guiding actions to improve care. The indicators were considered relevant, clear, with an understandable calculation formula, allowing reproducibility. They can be analyzed and compared, considering the LTCF as a unit of analysis or other levels of aggregation, such as municipalities, states or regions. RDC 283/2005, although it is absent in some definitions of care, was taken as a reference of legal requirement to verify related indicators.
To measure the dimension “Central Focus on the Community, Residents, Family and Professional Team”, four indicators were established. The “Access without excluding differentiations” indicator seeks to reveal the exercise of the welcoming function of the LTCF and its social role before the community, mainly because in several states of the federation there are no public LTCFs44 Brasil. Resolução da Diretoria Colegiada da Agência Nacional de Vigilância Sanitária- RDC nº 283, de 26 de setembro de 2005. Regulamento Técnico para o Funcionamento das Instituições de Longa Permanência para Pessoas idosas. Diário Oficial da União. Setembro 2005. Disponível em: http://bvsms.saude.gov.br/bvs/saudelegis/anvisa/2005/res0283_26_09_2005.html
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. Still in this dimension, the “Ratio of Professionals with a Work Link” indicator reveals the percentage of professionals who have standardized work at the facility, with regulated workload and function. The work team is essential to ensure quality and meet the individual needs of each old person and formal work represents the respect and appreciation of the team1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004. The “Attention to the Family of the Old Person” indicator recognizes the importance of family participation in caring for the old people. There is evidence that active family engagement is associated with health care for old people with favorable quality1919 Roberts AR, Ishler KJ. Family Involvement in the Nursing Home and Perceived Resident Quality of Life. Gerontologist. 2018;58(6):1033-43. Disponível em: https://doi.org/10.1093/geront/gnx108.
The “Human Resources” dimension points to the need for LTCF to maintain a satisfactory number of professionals, low turnover, presence of supervision and training. Thus, the “Ratio of caregiver per old person” indicator observes the minimum existence of caregivers required by RDC 283/2005. The RDC defines this ratio considering the levels of dependence of the old people for daily activities. In this study, due to the unavailability of the levels of dependence of the old people in the Census-SUAS, the ratio of 1 caregiver for every 20 old people (Ratio≥0.05) was considered a minimum condition required by the RDC to indicate the ability to provide assistance. The “Low turnover of professionals” indicator points to the existence of a condition that favors the link between professionals and the old people1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004, due to the worker remaining in the same LTCF. Still in this dimension, we sought to ascertain, through the “Permanent Education” indicator, the existence of actions that qualify the service offered by the facility, through deepening, discussing, updating knowledge, developing competencies and skills of professionals in the areas related to aging. The permanent education activity is recognized as a potential to qualify the assistance provided in LTCF44 Brasil. Resolução da Diretoria Colegiada da Agência Nacional de Vigilância Sanitária- RDC nº 283, de 26 de setembro de 2005. Regulamento Técnico para o Funcionamento das Instituições de Longa Permanência para Pessoas idosas. Diário Oficial da União. Setembro 2005. Disponível em: http://bvsms.saude.gov.br/bvs/saudelegis/anvisa/2005/res0283_26_09_2005.html
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. Evidence shows that educational interventions carried out with nursing teams focusing on specific skills (communication with old people; care for terminally ill patients; care for individuals with dementia) can improve the quality of care for residents, functional capacity and well-being of old people2020 Sprangers S, Dijkstra K, Romijn-Luijten A. Communication skills training in a nursing home: effects of a brief intervention on residents and nursing aides. Clin Interv Aging. 2015;10:311-9. Disponível em: https://doi.org/10.2147/CIA.S73053
21 Cardoso RD, Sá SP, Domingos AM, Sabóia VM, Maia TN, Padilha JM, et al. Tecnologia educacional: um instrumento dinamizador do cuidado com idosos. Rev Bras Enferm. 2018;71(Suppl 2):839-45. Disponível em: https://doi.org/10.1590/0034-7167-2017-0129-2222 Testad I, Mekki TE, Forland O, Oye C, Tveit EM, Jacobsen FK. Modeling and evaluating evidence-based continuing education program in nursing home dementia care (MEDCED)—training of care home staff to reduce use of restraint in care home residents with dementia: a cluster randomized controlled trial. Int J Geriatr Psychiatry. 2016;31(1):24-32. Disponível em: https://pubmed.ncbi.nlm.nih.gov/25845462/.
“Family Involvement” reinforces the importance of the family as co-responsible for care, emotional, instrumental and social support. The appreciation of family participation highlights the LTCF’s concern with the emotional and mental health of the old people, recognizing that psychosocial health can contribute to the quality of life and well-being of the old people, in addition to minimizing the feeling of abandonment2323 Puurveen G, Baumbusch J, Gandhi P. From Family Involvement to Family Inclusion in Nursing Home Settings: a Critical Interpretive Synthesis. J Fam Nurs. 2018;24(1):60-85. Disponível em: https://doi.org/10.1177/1074840718754314. The “Favoring the Family Bond” indicator observes the existence of actions to strengthen the bond between old people and their families, the reception of people with the same degree of kinship and the frequency of visits allowed in the facility.
The “Individualized Care” Dimension addresses aspects of the provision of necessary health care and the rescue or maintenance of old people in society. The “Socialization” indicator provides information on the participation of the old people in community actions. There is evidence that social support networks contribute to the well-being of old people2424 Gouveia OM, Matos AD, Schouten JM. Redes sociais e qualidade de vida dos idosos: uma revisão e análise crítica da literatura. Rev Bras Geriatr Gerontol. 2016;19(6):1030-40. Disponível em: https://doi.org/10.1590/1981-22562016019.160017. Another indicator that makes up this dimension is the “Health Care Management”, which seeks to portray the availability of tools and work processes (individual care plan, use of medical records, reports and discussion of cases) for health care in the facility. The annual update of the Health Care Plan is a requirement for the operation of LTCF in Brazil, according to RDC 283/2005. This plan must be “compatible with the principles of universalization, equity and integrality”; indicate “the health resources available to each resident, at all levels of care, whether public or private, as well as references, if necessary”, in addition to providing “comprehensive health care for the old people, addressing promotion aspects, protection and prevention” and contain “information about incident and prevalent pathologies in residents”. The discussion of cases favors the unique therapeutic plan appropriate to the needs and the degree of functional dependence of the old people, guaranteeing attention to essential needs (medicines, food, personal hygiene, changing positions) and preventing health problems.
The “Multiprofessional Team in the Health Area” indicator demonstrates the availability of health professionals with diversified backgrounds working at the facility. The existence of a multi-professional team can qualify care, expanding the understanding of phenomena and the interpretation of health from different angles of the multiplicity of its organic, social and cultural nature2525 Monique SG, da Costa MD. Formação Profissional da Equipe Multiprofissional em Saúde: a compreensão da intersetorialidade no contexto do SUS. Texto Contexto Enferm. 2017;16(2):454-69. Disponível em: https://www.redalyc.org/pdf/3215/321554297014.pdf. A systematic review indicated that a multidisciplinary team and professionals specialized in caring for old people (nurses or doctors) can contribute to improving the health responses of the old people in LTCF2626 Barker RO, Craig D, Spiers G, Kunonga P, Hanratty B. Who Should Deliver Primary Care in Long-term Care Facilities to Optimize Resident Outcomes?: a Systematic Review. J Am Med Dir Assoc. 2018;19(12):1069-79. Disponível em: https://doi.org/10.1016/j.jamda.2018.07.006. However, in Brazil, there is no legal requirement for a minimum number of professionals. The “Professionals for Leisure Activities” indicator observes the existence of professionals for physical, recreational and cultural activities in the facility for a number of 40 old people, as regulated by RDC 283/2005.
The “Environment” dimension concerns aspects related to physical space, hygiene, odors, furniture, accessibility, lighting and ventilation. To measure this dimension, two indicators were established: “Physical Structure” and “Accessibility”, which address the necessary requirements for housing and the safety of the old people, as provided for in the RDC. In turn, the information regarding odors, hygiene, lighting and ventilation did not compose indicators, as the SUAS Census does not include variables in this regard.
The “Housing” Dimension involves aspects related to the feeling of living in a home, valuing the presence of people from the community, pets, personal objects and highlights that profit should not be the priority of these units. The importance of creating an environment like home has been a recurring theme in the literature2727 Rijnaard MD, Van HJ, Janssen BM, Verbeek H, Pocornie W, Eijkelenboom A, et al. The factors influencing the sense of home in nursing homes: a systematic review from the perspective of residents. J Aging Res. 2016:1-10. Disponível em: https://pubmed.ncbi.nlm.nih.gov/27313892/
https://pubmed.ncbi.nlm.nih.gov/27313892...
. Some variables were identified to indicate the orientation of care so that the old people feel at home. However, it is assumed that these indicators do not address all the complexity of this dimension. The “Social profile of the facility” indicator seeks to portray the support received from the government, the presence of old people with the benefit of continued provision, registration in the council for the rights of old people, removing or not the profitable interest of the LTCF. The “Existence of materials for culture and leisure in the facility” indicator shows the presence of equipment that favors interaction between residents, the preservation of habits and culture, such as reading. These actions favor well-being, minimize stress and contribute to the health of the old people2828 Rocha IA, Braga LA, Tavares LD, Andrade FB, Ferreira Filha OM, Dias MD, et al. A terapia comunitária como um novo instrumento de cuidado para saúde mental do idoso. Rev Bras Enferm. 2009;62(5):687-94. Disponível em: http://dx.doi.org/10.1590/S0034-71672009000500006. The “Occupation Rate” seeks to present situations that translate into violations of basic rights, such as the presence of overcrowding, that is understood as violence perpetrated against the old people2929 Poltronieri BC, Souza ER, Ribeiro AP. Análise do tema violência nas políticas de cuidado de longa duração ao idoso. Ciênc Saúde Colet. 2019;24(8):2859-70. Disponível em: http://dx.doi.org/10.1590/1413-81232018248.25192017.
The “Communication” Dimension involves verbal and non-verbal actions of the LTCF with families and residents in order to meet the needs of the old people1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004. Through the “Openness to dialogue” indicator, it is possible to observe the presence or absence of discussions about the routines with the old people and the holding of meetings with their families. These efforts align with the person-centered care plan and trends that support patient participation in decision-making and move away from paternalistic models of healthcare in which they are passive spectators3030 da Fonseca IB, Cassiana MB. Processo de enfermagem em instituição de longa permanência para pessoas idosas: revisão integrativa. Enferm Foco. 2019;10(5):191-6. Disponível em: https://pesquisa.bvsalud.org/portal/resource/pt/biblio-1097711,3131 Batchelor F, Hwang K, Haralambous B, Fearn M, Mackel P, Nolte L, et al. Facilitators and barriers to advance care planning implementation in Australian aged care settings: a systematic review and thematic analysis. Australas J Ageing 2019;38(3):173-81. Disponível em: https://pubmed.ncbi.nlm.nih.gov/30873713/. Additionally, the lack of listening is reported as one of the forms of violence suffered by the old people and their families in LTCF2929 Poltronieri BC, Souza ER, Ribeiro AP. Análise do tema violência nas políticas de cuidado de longa duração ao idoso. Ciênc Saúde Colet. 2019;24(8):2859-70. Disponível em: http://dx.doi.org/10.1590/1413-81232018248.25192017.
The validation of the Evaluation Matrix using the Delphi technique relied on the experts’ contribution, especially with regard to improving the methodological clarity and transparency of the indicators, which are fundamental attributes for the legitimacy of the indicators in the social and political sphere, which allow greater understanding by the population1717 Jannuzzi MP. Indicadores para diagnóstico, monitoramento e avaliação de programas sociais no Brasil. Rev Serv Público. 2005;56(2):137-60. Disponível em: https://doi.org/10.21874/rsp.v56i2.222. The experts, professionals with training and experience in different areas of knowledge, attested to the validity of the indicators, that is, they recognized that they can measure aspects of quality proposed by the Integrated Multidimensional Quality model1212 Rantz MJ, Zwygart-Stauffacher M, Popejoy L, Grando VT, Mehr DR, Hicks LL, et al. Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers. J Nurs Care Qual. 1999;14(1):16-37.Disponível em: https://doi.org/10.1097/00001786-199910000-00004. The Evaluation Matrix built from the variables available in the public data of the SUAS Census, collected periodically, will favor the conduct of systematic and continuous evaluations of the quality of LTCF in the national territory, allowing for temporal comparisons and monitoring of policies and actions implemented in these care spaces. As a limitation of this study, we highlight the lack of participation of three experts in the 2nd validation cycle and the restriction of the information contained in the SUAS Census, limiting the evaluation of all concepts presented in the theoretical dimension.
Conclusion
The matrix proved to be valid and can be used in the process of evaluating and monitoring the quality of Long-Term Care Facilities for old people participating in the Unified Social Assistance System Census, which can be extended to other existing institutions, contributing to reveal aspects to be prioritized for the permanent improvement of the care provided.
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Funding: Programa Pesquisador Mineiro (PPM) by the author Raquel Conceição Ferreira. Nº: PPM-00686-16.
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27Rijnaard MD, Van HJ, Janssen BM, Verbeek H, Pocornie W, Eijkelenboom A, et al. The factors influencing the sense of home in nursing homes: a systematic review from the perspective of residents. J Aging Res. 2016:1-10. Disponível em: https://pubmed.ncbi.nlm.nih.gov/27313892/
» https://pubmed.ncbi.nlm.nih.gov/27313892/ -
28Rocha IA, Braga LA, Tavares LD, Andrade FB, Ferreira Filha OM, Dias MD, et al. A terapia comunitária como um novo instrumento de cuidado para saúde mental do idoso. Rev Bras Enferm. 2009;62(5):687-94. Disponível em: http://dx.doi.org/10.1590/S0034-71672009000500006
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29Poltronieri BC, Souza ER, Ribeiro AP. Análise do tema violência nas políticas de cuidado de longa duração ao idoso. Ciênc Saúde Colet. 2019;24(8):2859-70. Disponível em: http://dx.doi.org/10.1590/1413-81232018248.25192017
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30da Fonseca IB, Cassiana MB. Processo de enfermagem em instituição de longa permanência para pessoas idosas: revisão integrativa. Enferm Foco. 2019;10(5):191-6. Disponível em: https://pesquisa.bvsalud.org/portal/resource/pt/biblio-1097711
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31Batchelor F, Hwang K, Haralambous B, Fearn M, Mackel P, Nolte L, et al. Facilitators and barriers to advance care planning implementation in Australian aged care settings: a systematic review and thematic analysis. Australas J Ageing 2019;38(3):173-81. Disponível em: https://pubmed.ncbi.nlm.nih.gov/30873713/
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Publication Dates
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Publication in this collection
16 Apr 2021 -
Date of issue
2020
History
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Received
03 Sept 2020 -
Accepted
21 Jan 2021