This scoping review aimed to explore the characteristics, strengths, and gaps in research conducted in Brazilian long-term care facilities (LTCFs) for older adults. Electronic searches investigating the residents (≥60 years old), their families, and the LTCF workforce in Brazil were conducted in Medline, EMBASE, LILACS, and Google Scholar, within the timescale of 1999 to 2018, limited to English, Portuguese, or Spanish. The reference lists were hand searched for additional papers. The Mixed Methods Appraisal Tool (MMAT) was used for critical appraisal of evidence. Data were reported descriptively considering the study design, using content analysis: 327 studies were included (n = 159 quantitative non-randomized, n = 82 quantitative descriptive, n = 67 qualitative, n = 11 mixed methods, n = 6 randomized controlled trials, and n = 2 translation of assessment tools). Regardless of the study design, most were conducted in a single LTCF (45.8%), in urban locations (84.3%), and in non-profit settings (38.7%). The randomized trials and descriptive studies presented the lowest methodological quality based on the MMAT. This is the first review to provide an overview of research on LTCFs for older people in Brazil. It illustrates an excess of small-scale, predominantly qualitative papers, many of which are reported in ways that do not allow the quality of the work to be assured.
The fast growth of the older population in low- and middle-income countries [1] has allowed little time for social and health care systems to adapt. Long-term care facilities (LTCFs) are an integral part of how such systems care for older people with frailty, particularly as health conditions become more complex over time and they are no longer able to be cared for at home.
The sustainability of the LTCF sector depends upon policy and economic decisions [2]. In Brazil, where aggregate levels of wealth are lower and welfare systems are underdeveloped, the financial burden of aging is predominantly borne by families or older individuals themselves, leading to precarity of funding and lack of investment to enable development of the sector [3][4][5][6].
In 2010, there were around 3500 registered LTCFs in Brazil, and around 100,000 older people (aged 60 years and older) were living in such facilities, making the sector much smaller than in many middle- and higher-income countries [6][7]. However, estimations of the size of the sector are impaired by a lack of systems for collecting and sharing national data on LTCFs [8]. This lack of information is, in turn, a hindrance to the development of the Brazilian LTCF sector.
Research on LTCFs is an emerging field in low- and middle-income countries [9][10]. In Brazil, it has not been supported or funded in a strategic way [7][11]. This lack of co-ordination means that we are, as yet, unclear about the extent, quality, and impact of research in the sector or how it impacts on older adults’ care [7][11]. Taking stock of research carried out to date in Brazilian LTCFs will provide an understanding of the current state of the art of research in this area and highlight where work is needed.
This scoping review (SR) set out to provide an overview of the nature and extent of the scientific research conducted in Brazilian LTCFs in order to provide a summary for care providers and policymakers to inform the future endeavors in the field. The purpose of this is to give researchers, policymakers, and those commissioning research in Brazil a “big picture” overview of long-term care research conducted in Brazil over the past two decades. This overview can be used to design a coordinated plan of action for future research as well as linking to international expertise where appropriate.
We asked the following question: “What are the general features of, and gaps in, empirical research conducted across Brazilian LTCFs for those aged over 60 years?”
Our objectives were to:
Describe the type and quality of empirical research conducted in Brazilian LTCFs for those aged over 60 years;
Identify the topic areas of published research;
Map the regions in Brazil where this research was conducted;
Identify current knowledge gaps.
A total of 512 publications were retrieved. A further 12 articles were identified during the secondary screening of the references. After deleting duplicates, 438 studies were assessed for eligibility. Ninety-nine papers were excluded, yielding 327 studies that were included. Figure 1 shows a PRISMA diagram summarizing the study selection process.
Figure 1. Flow chart with scoping review selection process.
Table 1 presents an overview of the included studies. Two studies are not included in the tables as they did not fit any of the designs listed on the MMAT (translation/cultural adaptation of assessment tools). Quantitative non-randomized research (QNR) (for example, non-randomized controlled trials, cohort and case–control studies, and cross-sectional analytic studies) comprised almost half of the included papers (n = 159; 48.9%), followed by quantitative descriptive (QD) (n = 82; 25.2%), qualitative (n = 67; 20.6%), mixed methods (n = 11; 3.4%), and randomized controlled trials (RCT) (n = 6; 1.9%).
Table 1. Characteristics of included studies regarding primary research conducted in Brazilian long-term care facilities (LTCFs) published in scientific journals by methodology.
Qualitative (n = 67) | Descriptive (n = 82) | Non-Randomized (n = 159) | RCT (n = 6) | Mixed Methods (n = 11) |
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= 274; 84.3%), and in non-profit settings (n = 126; 38.7%) (Table 2). A high proportion of studies failed to sufficiently report the type of setting and its location (37.0% and 38.5%, respectively). The main sample composition involved LTCF residents (n = 241; 74.1%) with an average of 13 older adults (2 to 59) in qualitative studies and 178 older adults (1 to 2184) in descriptive quantitative papers.
Table 2. Characteristics of the long-term care facilities (LTCFs) studied in the included papers from primary research conducted in Brazilian LTCFs published in scientific journals by the type of methodology.
Qualitative (n = 67) | Descriptive (n = 82) | Non-Randomized (n = 159) | RCT (n = 6) | Mixed Methods (n = 11) |
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Publication Date | |||||
1999–2009 | 11 (16.4%) | 19 (23.1%) | 24 (15.1%) | 1 (16.6%) | 5 (45.5%) |
2010–2015 | 3 (50.0%) | 1 (9.0%) |
n = 18; 43.9%) and work conditions (n = 4; 9.7%). Within “LTCF”, organizational context (n = 12; 66.6%) and policies (n = 6; 33.4%) were the only two subtopics. A table covering the main topic areas of research conducted in Brazilian long-term care facilities is available in the Supplementary Materials (Table S1).
Table 3 summarizes the methodological appraisal of the included articles using the MMAT. RCT and descriptive studies had a higher proportion of MMAT classified as “no” or “cannot determine” than the other designs. Therefore, the quality of the evidence based on the MMAT was lower for these designs. Studies with a qualitative design scored higher.
Table 3. Critical appraisal of included sources of evidence through the Mixed Methods Appraisal Tool (MMAT), n = 325.
Screening Questions (for All Types) | Qualitative (n = 67) | ||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N | C | Y | N | ||||||||||||||||||||||||||
Are there clear research questions? | Do the collected data allow to address the research questions? | Is the qualitative approach appropriate to answer the research question? | Are the qualitative data collection methods adequate to address the research question? | Are the findings adequately derived from the data? | Is the interpretation of results sufficiently substantiated by data? | Is there coherence between qualitative data sources, collection, analysis, and interpretation? | |||||||||||||||||||||||
Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | C | Y | N | C | |||||||||||||
42 (62.6%) | 45 (54.9%) | 83 (52.2%) | |||||||||||||||||||||||||||
Type of setting | |||||||||||||||||||||||||||||
1 (16.6%) | |||||||||||||||||||||||||||||
5 (45.5%) | |||||||||||||||||||||||||||||
62 | 5 | - | 53 | 9 | 5 | 56 | 6 | 5 | 38 | 7 | 22 | 40 | 3 | 24 | 37 | 6 | 24 | 37 | 11 | ≥2016 | 14 (20.9%) | 18 (21.9%) | 52 (32.7%) | 4 (66.8%) | 1 (9.0%) | ||||
19 | Both | 12 (17.9%) | 17 (20.7%) | 36 (22.6%) | Language | ||||||||||||||||||||||||
0 | 5 (45.5%) | ||||||||||||||||||||||||||||
NR | 21 (31.4%) | 34 (41.5%) | |||||||||||||||||||||||||||
Quantitative randomized controlled trials (n = 6) | 63 (39.6%) | 3 (50.0%) | 5 (45.5%) | ||||||||||||||||||||||||||
Is randomization appropriately performed? | Are the groups comparable at baseline? | Are there complete outcome data? | Are outcome assessors blinded to the intervention provided? | English | 6 (8.9%) | 15 (18.3%) | 47 (29.5%) | 1 (16.6%) | 2 (18.2%) | ||||||||||||||||||||
Did the participants adhere to the assigned intervention? | Setting Location | ||||||||||||||||||||||||||||
Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Portuguese | 46 (68.7%) | 51 (62.2%) | 73 (45.9%) | 3 (50.0%) | 7 (63.6%) | |||
Rural | 1 (1.5%) | ||||||||||||||||||||||||||||
6 | 0 | 1 (0.6%) | 0 | - | - | 5 | -0 | 1 | 1 | 1 | 4 | 4 | - | 2 | 3 | 2 | 1 | 2 | 3 | 1 | 2 | 1 | 3 | At least Portuguese/English | 15 (22.4%) | 16 (19.5%) | 39 (24.6%) | 2 (33.4%) | 2 (18.2%) |
Urban | 43 (64.2%) | 42 (51.2%) | 94 (59.1%) | 2 (33.2%) | 8 (72.7%) | ||||||||||||||||||||||||
Quantitative non- randomized (n = 159) | Geographic area * | ||||||||||||||||||||||||||||
Both | 0 | 5 (6.1%) | 8 (5.0%) | 0 | 0 | ||||||||||||||||||||||||
Are the participants representative of the target population? | Are measurements appropriate regarding both the outcome and intervention (or exposure)? | Are there complete outcome data? | Are the confounders accounted for in the design and analysis? | North | 1 (1.5%) | 0 | 4 (2.5%) | 0 | 0 | ||||||||||||||||||||
During the study period, is the intervention administered (or exposure occurred) as intended? | NR | 23 (34.3%) | 35 (42.7%) | 56 (35.3%) | |||||||||||||||||||||||||
Y | 4 (66.8%) | 3 (27.2%) | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Northeast | 13 (19.4%) | 21 (25.6%) | ||||
Number of LTCF | |||||||||||||||||||||||||||||
156 | 3 | - | 140 | 617 (20.7%) | 35 (22.0%) | 3 (50.0%) | 7 (63.6%) | ||||||||||||||||||||||
Southeast | 14 (20.9%) | 34 (41.5%) | 65 (40.9%) | 0 | 4 (36.4%) | ||||||||||||||||||||||||
Profit | 2 (3.0%) | 0 | 1 (0.6%) | 0 | 32 (20.1%) | 1 (16.6%) | 0 | ||||||||||||||||||||||
13 | 57 | 47 | 55 | 120 | 19 | 20 | 126 | 7 | 26 | 56 | 58 | 45 | 120 | 15 | 24 | South | |||||||||||||
1 | 46 (68.7%) | 35 (42.1%) | 60 (37.7%) | 3 (50.0%) | 5 (45.5%) | ||||||||||||||||||||||||
Quantitative descriptive (n = 82) | 2–5 | 9 (13.4%) | 19 (22.9%) | 37 (23.2%) | 3 (50.0%) | 1 (9.0%) | |||||||||||||||||||||||
Is the sampling strategy relevant to address the research question? | Is the sample representative of the target population? | Are the measurements appropriate? | Is the risk of nonresponse bias low? | Is the statistical analysis appropriate to answer the research question? | Midwest | 4 (5.9%) | 6 (7.3%) | 16 (10.0%) | 1 (16.6%) | 0 | |||||||||||||||||||
6–10 | 8 (11.9%) | 12 (15.6%) | 25 (15.7%) | 0 | 0 | ≥2 geographic area | 3 (4.5%) | 2 (2.4%) | 3 (1.9%) | 0 | 0 | ||||||||||||||||||
0 | |||||||||||||||||||||||||||||
≥11 | 3 (4.5%) | 08 (9.7%) | 22 (13.8%) | NR | 3 (4.5%) | 2 (2.4%) | 4 (2.5%) | ||||||||||||||||||||||
Non-profit | 1 (16.6%) | 0 | |||||||||||||||||||||||||||
32 (47.7%) | 29 (43.2%) | ||||||||||||||||||||||||||||
Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | 0 | 4 (36.5%) | |||||||
78 | 3 | 1 | 64 | 11 | 7 | 37 | 21 | 24 | 32 | 31 | 19 | 61 | 9 | 12 | 29 | 12 | 41 | 58 | 8 | 16 | NR/NA | 1 (1.5%) | 08 (9.7%) | 15 (9.4%) | |||||
Mixed methods ( | 0 | 1st Author Institution | |||||||||||||||||||||||||||
1 (9.0%) | |||||||||||||||||||||||||||||
(Min–Max, mean, median) | (0–52, 3.7, 1) | (1–156, 10.1, 2) | (1–125,6.4, 2) | (1–5, 2.0, 1.5) | (1–52, 14.4, 1) | Public University | 44 (65.7%) | 59 (71.9%) | 106 (66.7%) | 4 (66.8%) | 6 (54.5%) | ||||||||||||||||||
Sample composition | Private University | 19 (28.3%) | 17 (20.7%) | 33 (20.7%) | 2 (33.2%) | 5 (45.5%) | |||||||||||||||||||||||
Older adults | 33 (49.2%) | 64 (78.0%) | 133 (83.6%) | 6 (100%) | 5 (45.5%) | Health Service | 2 (3.0%) | 2 (2.4%) | 6 (3.8%) | ||||||||||||||||||||
Total (Min–Max, mean, median) | 0 | Total = 428 | 0 | ||||||||||||||||||||||||||
(2–59, 12.9, 10) | Total = 11,358 | (1–2184, 177.4, 76) |
Governmental Agency | 0 | 1 (1.2%) | 1 (0.6%) | 0 | 0 | |||||||||||||||||||||
Others | 2 (3.0%) | 2 (2.4%) | 1 (0.6%) | 0 | 0 | ||||||||||||||||||||||||
NR | 0 | 1 (1.2%) | 2 (1.2%) | 0 | |||||||||||||||||||||||||
31 (37.8%) | 59 (37.1%) | 0 | Ethical approval † | ||||||||||||||||||||||||||
Yes | 59 (88.0%) | 64 (78.0%) | 132 (83.0%) | 5 (83.4%) | 8 (72.7%) | ||||||||||||||||||||||||
NR | 8 (12.0%) | 18 (22.0%) | 27 (17.0%) | 1 (16.6%) | 3 (27.3%) |
Most papers (n = 265; 81.5%) were published in the last ten years. The full text was available only in Portuguese in 180 publications (55.4%). Most articles had acceptable statements about ethical review; however, we could not locate any information on ethics procedures for 57 papers (17.5%). Figure 2 maps the Brazilian regions in which the studies were undertaken (according to first author institutional affiliation), illustrating the concentration of scientific research in the South and Southeast regions of Brazil.
Figure 2. Characterization of the number of original publications included according to the Brazilian state of the institutional affiliation of the first author.
Regardless of the study design, most were conducted in a single LTCF (n = 149; 45.8%), in urban locations (n
n | |||||||||||||||||||||||||
= 11) | |||||||||||||||||||||||||
Is there an adequate rationale for using a mixed methods design to address the research question? | |||||||||||||||||||||||||
Are the different components of the study effectively integrated to answer the research question? | |||||||||||||||||||||||||
Are the outputs of the integration of qualitative and quantitative components adequately interpreted? | |||||||||||||||||||||||||
Are divergences and inconsistencies between quantitative and qualitative results adequately addressed? | |||||||||||||||||||||||||
Do the different components of the study adhere to the quality criteria of each tradition of the methods involved? | |||||||||||||||||||||||||
Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | Y | N | C | |||||
11 | - | - | 7 | 1 | 3 | 7 | 1 | 3 | 6 | 4 | 1 | 6 | 4 | 1 | 3 | 2 | 6 | 6 | 4 | 1 | |||||
Category with most of the studies with YES | Total = 22.747 | (4–3903, 171.0, 81.0) |
Total = 164 (13–37, 27.3, 30) |
Total = 204 (8–55, 40.8, 43) |
|||||||||||||||||||||
Family | 1 (1.5%) | 0 | 0 | 0 | 0 | ||||||||||||||||||||
Category with most of the studies with NO | Total (Min–Max, mean, median) | Total = 6 | |||||||||||||||||||||||
Category with most of the studies with CANNOT DETERMINE | Staff | 19 (28.3%) | 7 (8.5%) | 7 (4.4%) | 0 | 3 (27.2%) | |||||||||||||||||||
Total (Min–Max, mean, median) | Total = 337 (7–40, 17.7, 16) | Total = 411 (12–181, 58.7, 38.5) | Total = 459 (22–181, 65.5, 45) | Total = 281 (38–181, 93.6, 62) | |||||||||||||||||||||
LTCF characteristics | 3 (4.4%) | 7 (8.5%) | 2 (1.3%) | 0 | 0 | ||||||||||||||||||||
Total (Min–Max, mean, median) | Total = 59 (1–52, 19.6, 6) | 199 (4–156, 28.4, 7.5) | Total = 80 (29–51, 40.0, 40) | ||||||||||||||||||||||
Managers and stakeholders | 3 (4.4%) | 1 (1.2%) | 0 | 0 | |||||||||||||||||||||
Total (Min–Max, mean, median) | Total = 18 (5–7, 6.0, 6) | Total = 67 | |||||||||||||||||||||||
Older adults × Non-institutionalized older adults | 0 | 2 (2.4%) | 15 (9.4%) | 0 | 1 (9.0%) | ||||||||||||||||||||
Total (Min–Max, mean, median) | Total = 192 (15–177, 96.0, 96) × Total = 273 (30–243, 136.5, 136.5) | Total = 1180 (14–393, 78.7, 42) × Total = 16,839 (14–598, 112.6, 76) | Total = 30 × Total = 30 | ||||||||||||||||||||||
Older adults × Staff | 2 (3.0%) | 1 (1.2%) | 2 (1.3%) | 0 | 2 (18.3%) | ||||||||||||||||||||
Total (Min–Max, mean, median) | Total = 13 (3–10, 6.5, 6.5) × Total = 25 (9–16, 12.5, 12.5) | Total = 62 × Total = 33 | Total = 57 (11–46, 28.5,28.5) × Total = 40 (15–25, 20.0, 20) | Total = 314 (6–308,157.0, 157) × Total = 50 (7–43, 25.0, 25.0) | |||||||||||||||||||||
Older adults × Family | 1 (1.5%) | ||||||||||||||||||||||||
Total (Min–Max, mean, median) | Total = 3 × Total = 3 | ||||||||||||||||||||||||
Older adults × Managers | 3 (4.4%) | ||||||||||||||||||||||||
Total (Min–Max, mean, median) | Total = 27 (8–11, 13.5, 8) × Total = 17 (3–7, 8.5, 7) | ||||||||||||||||||||||||
Family × Staff | 1 (1.5%) | ||||||||||||||||||||||||
Total (Min–Max, mean, median) | Total = 13 × Total = 19 | ||||||||||||||||||||||||
Managers × Staff | 1 (1.5%) | ||||||||||||||||||||||||
Total (Min–Max, mean, median) | Total = 20 × Total = 36 |
The main research topics were grouped into three categories: resident outcomes (n = 266; 81.8%), staff and family support (n = 41; 12.6%), and LTCF characteristics (n = 18; 5.6%). Within the resident outcomes topic, the most frequent subtopics were functional capacity (n = 36; 13.5%), mental health (n = 30; 11.3%), and nutrition (n = 26; 9.8%). Within “staff and family support”, the main subtopics were experiences of care (