From Intervention Trial to Full-scale Implementation Research: Positive Tendencies for Frailty and Self-rated Health in Frail Older People
Isabelle Ottenvall Hammar1-3*, Theresa Westgård1,3, Kajsa EKlund1,3, Katarina Wilhelmson1,3,4 and Synneve Dahlin-Ivanoff1,3
1Department of Health and
Rehabilitation, Institute of Neuroscience and Physiology, The Sahlgrenska
Academy, University of Gothenburg, Sweden
2Department of Occupational Therapy
and Physiotherapy, The Sahlgrenska University Hospital, Sweden
3Centre of Aging and Health-AGECAP,
University of Gothenburg, Sweden
4Department of Geriatrics, The Sahlgrenska University Hospital, Sweden
*Corresponding author: Isabelle Ottenvall Hammar, The Sahlgrenska Academy at University of Gothenburg, Department of Health and Rehabilitation, Arvid Wallgrens backe, House 2, Box 455, 405 30 Gothenburg, Sweden. Tel: + 46317865719; Email: isabelle.o-h@neuro.gu.se
Received
Date: 25 May, 2018; Accepted Date: 06 June,
2018; Published Date: 12 June, 2018
Citation: Ottenvall Hammar I, Westgård T, Eklund K, Wilhelmson K, Dahlin-Ivanoff S (2018) From Intervention Trial to Full-scale Implementation Research: Positive Tendencies for Frailty and Self-rated Health in Frail Older People. Int J Geriatr Gerontol: IJGG-112. DOI: 10.29011/2577-0748. 180012
1. Abstract
A continuum of care for frail older people was created to link the chain between the hospital, and discharge to the person’s home. Despite earlier positive findings, it remains unclear if the benefits are sustainable in a real-life context. The present longitudinal study aimed at evaluate the effects of the implementation of a full-scale process program for frail older people in a real-life context regarding levels of frailty, self-rated health and activities of daily living up to one year later. The sample consisted of a total of 143 frail people aged 75 years and older, divided in the two groups: 77 participants from the full-scale process program and 66 historical controls. The findings showed that at the six months follow-up, the participants partaking in the full-scale process program had a significantly higher odds of displaying decreased frailty (p=0.015), and at twelve months, this sample had a significant lower likelihood of reporting decreased self-rated health (p=0.023). Thus, the findings showed positive results on frailty level and self-rated health when implementing the intervention in real life, indicating that a person-centred, multi-professional team with a case manager is beneficial for frail older people.
1.1. Clinical Trials Gov: NCT01260493.
2. Keywords: Activities of daily living;
Frailty; Geriatric; Intervention; Multi-professional team
1. Introduction
Frail older people have varying levels of needs and may require treatment and care from multiple heath care professionals. Frailty, which is a geriatric syndrome related to a deterioration of multiple physiological systems in old age [1], are typically associated with restricted activity and morbidity. A frequently used definition of frailty includes weakness, fatigue, weight loss, low physical activity, poor balance, slow gait speed, and impaired cognition [2]. Despite clinical advances in the care and treatment of the frail older people, multiple discontinuities within the system can interfere, resulting in a fragmented care which is not always integrated in the best interest of the person receiving the services [3].
A well-functioned continuum of care can be achieved by involving the older people and their relatives in the planning, decision-making and in carrying out the care. The integration within the health care for this population could also be enhanced by using a geriatric screening and multidimensional assessment, entailing several of health care professionals working as a multi-professional team [4]. A central component of the integrated care program is the case manager, which refers to a person coordinating several components striving for a successful outcome [5]. Additional factors for a successful intervention included features such as individualized assessments and interventions, and long-term follow up [6].
Internationally, integrated care programs have been used to minimize fragmentation and to improve continuity and coordination of care [7]. In Sweden, health care chains are a significant part of the integrated health care. The randomised controlled, two-armed intervention study, the Continuum of Care for Frail Older People [8], was set up to evaluate a health care chain between the hospital emergency department, throughout the hospital stay, and upon discharge to the frail older people’s own home. The intervention [8] involved collaboration between a nurse with geriatric competence at the hospital emergency department, the hospital wards, and a multi-professional team in the municipality with a case manager. The person-centred approach with shared decision-making was implemented throughout the health care chain. The central components of the intervention were as follows: geriatric assessment, coordination by a case manager in the municipality, multi-professional team, care-planning meetings in the older people’s home, follow-up of personal needs and planned care, and support when needed for relatives.
Berglund et al. [9] showed that one of the central aspects of the intervention, to perform the care-planning meetings in the frail older people’s home, had a positive effect on the older people’s involvement in their planning of their future care. The intervention [8], also, had a positive effect on independence in activities of daily living up to one year, as well as decreasing dependency in activities of daily living up to six months [10]. Further, positive effects were also found with regards to experienced symptoms and self-rated health [11], as well as the continuation of exercising self-determination in daily life at three and six months follow-up [12]. Based on previous findings [9-12], the randomised controlled intervention study Continuum of care for frail older people [8] was implemented in a real-life context, which meant that the previously project was implemented in the ordinary daily care of frail older people living in a municipality in Sweden. Further, this implementation process entailed that the frail older people received a care approach founded on the person-centred approach and the central components from the previous research [8]. Despite earlier findings [9-12], it remains unclear if the benefits of the Continuum of care for frail older people [8] are sustainable in a short and longer term when implementing the full-scale process program in a real-life context.
In this study, the aim was to evaluate the effects of the implementation of a full-scale process program for frail older people in a real-life context regarding levels of frailty, self-rated health and activities of daily living up to one year later.
2. Materials and Methods
2.1. Study Design
In this longitudinal study with three-, six- and 12 months follow-up, data from a controlled study, from intervention trial (RCT) to full-scale implementation research, was evaluated in relation to a sample with historical controls gathered from the randomized non-blinded controlled trial, the Continuum of care for frail older people [8]. The Regional Ethical Review Board in Gothenburg approved the study (ref.nr. 413-08), and the additional ethical approval for the implementation phase application (T140-12). A written informed consent was obtained from all participants, and information was given both verbal and in writing regarding the purpose of the respective study, and that it was voluntary to participate in the interviews.
2.2. Participants
The study population comprised a sample of people who had their 75th birthday during the study period or were older. The participants were eligible if they sought care at an emergency department, and thereafter were discharged to their own homes in the municipality of Mölndal, Sweden. People requiring acute medical services, those clinically observed as having severe cognitive impairment or dementia, and or requiring palliative care as assessed by a nurse with geriatric competence were excluded.
2.3. Implementing a Full-scale Process Program Intervention
The same central components as described previous in the Continuum of care for frail older people [8], was used when implementing of the full-scale process program intervention in a real-life context. It comprised collaboration between a nurse with geriatric competence at the emergency department, the hospital wards, and a multi-professional team working in the municipality. Together, these parts resulted in a continuum of care, starting from the emergency department, through the hospital ward, and in to the older people’s homes.
A case manager in the municipality was the primary contact for the frail older people with complex needs, and worked closely in cooperation with a multi-professional team (occupational therapist, physical therapist, and social worker). The case manager was responsible for new and/or changing needs, whether they were formal (e.g. primary health care, municipality, hospital wards) or informal (e.g. the family caregivers). Responding to the altered needs, a care planning meeting was immediately offered in the older people’s home after the participant had been discharged to their own homes. The case manager and the multi-professional team shared responsibilities for care planning. The individualized care plan was based on a comprehensive geriatric assessment made by the multi-professional team, and was followed up after one week by the case manager and subsequently as deemed necessary. The historical controls received ordinary care, where rehabilitation and other care services were delivered by the municipality when needed.
2.4. Data Collection
The data from the Continuum of care
for frail older people (historical controls) [8] were collected during the period of October
2008 until October 2011, and the data from the intervention trial (RCT) to full-scale
implementation research were collected during the period of November 2012 until
June 2016. Both studies collected data at baseline, three-, six- and 12 months
follow-ups in the older people’s
own homes by research assistants trained in interviewing. The
interviewers in both studies had experience in care of older people, and the
interviews were performed in accordance with guidelines for the different
outcome measurements. The same measurements were used in both studies when
collecting the data.
In this study, the outcome measures of frailty, self-rated health, and activities of daily living were evaluated.
2.5. Outcome Measures
- Frailty: Eight frailty indicators were used when capturing levels of frailty: weakness, fatigue, weight loss, physical activity, poor balance, slow gait speed, visual impairments, and cognition. Weakness (grip strength) was measured with the North Coast dynamometer [13]. Frailty was defined as a grip strength of less than 13 kg (dominant hand), and 10 kg (non-dominant hand) for women, and less than 21 kg (dominate hand) and 18 kg (non-dominant hand) for men. Fatigue and weight loss was measured using the Göteborg Quality of Life instrument (GQL) [14] where the answer of “yes” to the two questions: “Have you suffered any general fatigue/tiredness over the last three months?” and “Have you suffered from any weight loss over the last three months?”. Frailty was also indicated by low physical activity (outdoor walking two times or less each weak) measured with a six-point scale. Poor balance, indicated as a score of 47 or lower (maximum is 56 points), was measured with the Bergs Balance Scale (BBS) [15]. Gait speed of 6.7 seconds or slower over four meters [16] was considered an indicator of frailty. Visual acuity of ≤0.5 (both eyes) measured with the KM chart [17,18], and reduced cognition below 25 points measured with the Mini Mental State Examination (MMSE) [19] indicated frailty. The sum of the frailty indicators was then categorized into non-frail (0 indicators), pre-frail (1-2 indicators), and frail (≥3 indicators).
- Self-rated Health (SRH): The participant’s self-rated health was measured using the following question: “In general, would you say your health is excellent, very good, good, fair or poor?” The response alternatives were dichotomized into good (excellent, very good, or good), and poor (fair or poor).
- Activities of Daily Living (ADL): The ADL staircase is a cumulative scale that indicates a person’s independence or degree of dependence on another person in personal activities of daily living (P-ADL), which refers to activities related to a person’s own body (bathing, dressing, going to the toilet, transfer, and feeding). It also captures a person’s independence or degree of dependence on another person in instrumental activities of daily living (I-ADL), which refers to activities in the persons own home (cleaning, shopping, transportation and, cooking). Participants living with another person were assessed as independent if they were able to perform an activity by themselves while alone. Degree of dependence in activities of daily living was dichotomized to either independent, or dependent [20,21].
2.6. Statistical Analysis
All the analyses were made on the basis of the intention-to-treat principle. The imputation of the data was based on the assumption that older people are expected to deteriorate over time as this is a natural course of the ageing process. Thus, an imputation method was selected to replace the missing values of the sum of levels of frailty, self-rated health, and activities of daily living managed independently, between baseline data, and follow-up of all participants with a value based on the Median Change of Deterioration (MCD), in accordance as in the Continuum of care for frail older people [8] study. Worst-case scenario was used for participants who died [22].
Baseline and dropouts characteristics of participants in both groups were compared using Chi-square or Fishers exact test (p-value ≤ 0.05). The number of participants that had improved, maintained or decreased in frailty, self-rated health, and activities of daily living compared to baseline was analyzed using Chi-square, and Odds Ratio (OR). A p-value ≤ 0.05 was considered statistically significant, and a 95% confidence interval (CI) is provided. The statistical analyzed was made using IBM SPSS Statistics for Windows, Version 24.0, 2016, Armonk, NY: IBM Corp. In addition, analyses adjusted for baseline differences with regards to frailty, self-rated health, and activities of daily living were also made using logistic regression, with the SAS-procedure logistic, SAS version 9.3 (SAS Institute Inc., N.C.; USA).
3. Results
The whole sample consisted of 143
frail older participants, 77 participants from intervention trial (RCT) to
full-scale implementation research, and 66 historical controls from Continuum
of care for frail older people [8]. The drop-outs for the full-scale process program from baseline to three
months were 16% (n=12), from baseline to six months were 24% (n=18), and from
baseline to 12 months were 30% (n=23). The drop-outs for the controls from
baseline to three months were 11% (n=8), from baseline to six months were 16%
(n=12), and from baseline to 12 months were 22% (n=17). To match the
inclusion criteria of the present study, participants that did not have their
75th birthday during the study period were excluded from the control group. The
flow of participation is shown in CONSORT diagram, Figure 1 of both studies
used.
3.1. Baseline Characteristics
A statistically significant larger
amount of the participants, from intervention trial (RCT) to full-scale
implementation research were female (p=0.004), and had cognitive impairment
(p=0.021) when comparing with the historical controls. The historical controls
were statistically significant more independent in instrumental activities of
daily living (p=0.023). No statistically significant differences were observed
between the groups with regards to living status, educational level, self-rated
health, levels of frailty, fatigue/tiredness, and weight loss (Table 1).
3.2. Frailty
At the six months follow up, from
intervention trial (RCT) to full-scale implementation research had a
statistically significant higher OR of 2.36 (p=0.015) in decreased levels of
frailty when comparing with the historical controls. In general, this sample
had a tendency towards lower levels of frailty, while the historical controls
had higher levels of frailty at the follow-ups (Table 2).
3.3. Self-rated Health
At the twelve months follow up, from
intervention trial (RCT) to full-scale implementation research had a
statistically significant lower likelihood of reporting decreased levels of
self-rated health with an OR of 0.38 (p=0.023) in comparison with the
historical controls. This sample had a tendency towards reporting higher levels
of self-rated health, whereas the historical controls reported lower levels of
self-rated health, at the follow-ups (Table 3).
3.4. Independence in Activities of Daily Living
There were no significant differences between the groups with regards to independence in activities of daily living at the three, six and twelve-month follow-ups (Table 4).
3.5. Frailty, Self-rated Health, and Independence in Activities of Daily Living
At the three, six, and twelve-month
follow-ups, from intervention trial (RCT) to full-scale implementation research
had a tendency towards decreased frailty and higher levels of self-rated
health. This sample also had a tendency towards increased activities of daily
living independence when comparing with the historical controls (analyses
adjusted for baseline differences) (Table 5).
4. Discussion
This longitudinal study evaluated the effects of the implementation of the Continuum of care for frail older people in a real-life context regarding levels of frailty, self-rated health and activities of daily living. The evaluation showed that executing the program had succeeded for the full-scale process program concerning decreased levels of frailty after six months. Furthermore, a less likelihood amongst participants from the intervention trial (RCT) to full-scale implementation research reported decreased levels of self-rated health after one year. From the basis of the adjusted analysis data, tendencies were also positive in favor throughout the entire study with regards to both levels of frailty and self-rated health.
In the present study, the participants from the implementation group had over two times higher odds of displaying decreased levels of frailty than the historical controls at the six-months follow up even though not statistically significant. This finding was supported by the results from the adjusted analyses showing that during the course of the study, a positive trend with regards to decreased levels of frailty among participants from implementation group was found. A previous study [10], which evaluated the Continuum of care for frail older people before being implemented in a real-life context, showed no significant differences with regards to improved, maintained, or decreased levels of frailty at either three, six and twelve-mounts follow-up. On the other hand, the previous study [10] showed an increased independence in activities of daily living when observing the OR, which was not the case in the present study. There are different possible reasons for this difference in results between the two studies. One sign of weakness in the present study using historical controls is that the baseline comparison showed significant differences with regards to gender, independence in activities of daily living and cognition, as was not the case in the previous study [10]. The participants from intervention trial (RCT) to full-scale implementation research were more dependent in activities of daily living (29%) in comparison with the historical control (13%). The difference in results can also be explained by the day-to-day fluctuations of health outcomes that frailty is connected to as indicated in a study by Mulasso et al. [23], and that the result may indicate that physical frailty increases the variability contributing to dependence in activities of daily living. However, when comparing the results, the same pattern of OR from all the analyses were found concerning decreased frailty, as were shown in the previous evaluation [10] of the Continuum of care for frail older people, with a decrease in frailty that peaks at 6 months follow up and levels out at 12 months. In the case of activities of daily living, the participants from intervention trial (RCT) to full-scale implementation research retrieved a worse starting position, and by 12 months they have a lower share that deteriorates and a higher proportion is improved in activities of daily living.
From intervention trial (RCT) to full-scale implementation research displayed positive tendencies for the frail older people regarding self-rated health. The participants succeeded in displaying better self-rated health as compared with the historical control, when looking at the non-adjusted results after twelve months. This finding is in aligned with the positive effects the Continuum of care study had on self-rated health and number of experienced symptoms [11]. It has earlier been shown that how frail older people manage their everyday life influences their experience of health despite frailty [24,25], and the frail older people describes health as being in harmony and balance in their everyday life [25]. In addition, social relations, functional ability and activities influence older people’s quality of life as much as health status [26]. Thus, facilitating for the frail older people to continue with their activities is beneficial for their experiences of health and quality of life. It is important to have a multi-disciplinary approach with focus to provide supportive services to frail older people - as in the Continuum of care intervention [8] - in order to maintain their independence and experiences of good health despite frailty [27]. A multi-professional team including a case manager, occupational therapist, physical therapist and a social worker performing geriatric screening, and multidimensional assessment were one of the core components of the Continuum of care intervention [8]. The team was grounded in a person-centred approach to care, meaning that the caregiver and the caretaker created a partnership in all their meetings. Due to the findings from the present study, a multi-professional, person-centred team seems to be favorable with regards to frailty and self-rated health in frail older people. The results of this study could be implemented and evaluated universally regardless of country or cultural contexts, as a program which provides a case manager working together with a multidisciplinary team when providing care services for frail older people living at home. It is suggests that despite having reduced functional capacity, the experiences of personal satisfaction, and optimal aging can still be achieved [28]. If a certain activity’s limitation is highly meaningful to a person, it may lead to reporting poor self-rated health. Thus, exploring the specific factors influencing frail older people’s self-rated health may help to better comprehend and appreciate the clinical implications that self-rated health has. In turn, this may lead towards new methods of shaping and influencing frail older people’s health [29].
The design in present study, using historical controls instead of performing a randomized control study, has its pros and cons. Above all; it means that fewer frail older people needed to be included in strenuous research. An obvious risk is that the time lap between the data gathering affects the results. In present study, the time lap was 12 months, which we consider a fairly short period and should not affect the results, arguing that changes in concomitant care were small. Throughout the study, caution was taken that all eligibility assessments and endpoint assessments were done in the same procedure, with the same follow-up periods and with the same instruments to lessen the risk of differences between the groups. In spite of this, the baseline data differed between the groups. Kennedy-Martin [30] points out that RCT samples are highly selected and have a lower risk profile than real-world populations. But we argue that this difference is mainly caused by phenotype variability as frail older people are a heterogenic group. According to de Boer [31], researchers should present findings from the fully adjusted analyses, as well as the crude analyses. Therefore, to ensure that the reader would get a result as truth as possible, both non-adjusted analysis, and analyses adjusted for baseline differences were presented in the present study, presenting similar trends.
5. Conclusions
The findings from the implementation study, from intervention trial (RCT) to full-scale process program, showed positive results on frailty level and self-rated health when implementing the intervention in real life, indicating that a person-centred, multi-professional team with a case manager is beneficial for frail older people.
6. Acknowledgments
The authors would like to extend a cordial thank to PhLic Statistics Kjell Pettersson on Akademistatistik, Gothenburg University, for valuable statistical support. This study was supported by the Swedish Research Council for Health, Working Life and Welfare (AGECAP 2013-2300), The Vårdal Institute, the Swedish Institute for Health Sciences, and Vinnvård. Finally, the authors would like to thank the older people for participating in this study.
7. Conflict of Interest
The authors declare that there are
no conflicts of interests.
Figure
1: CONSORT 2010
The flow of participants.
Characteristics |
Historical controls n=66 |
From intervention trial (RCT) to full-scale n=77 |
p-value |
Female |
36 (55%) |
60 (78%) |
0.004 |
Living alone |
39 (59%) |
51 (66%) |
0.391 |
Tertiary education1 |
11 (17%) |
18 (23%) |
0.404 |
Independent in I-ADL2 |
19 (29%) |
10 (13%) |
0.023 |
Self-rated health3 |
21 (32%) |
24 (31%) |
1.000 |
Non-frail4 |
0 (0%) |
2 (3%) |
0.499 |
Pre-frail4 |
18 (27%) |
15 (19%) |
0.321 |
Frail4 |
48 (73%) |
60 (78%) |
0.559 |
General Fatigue/tiredness |
45 (68%) |
54 (70%) |
0.857 |
Weight Loss |
27 (41%) |
26 (34%) |
0.391 |
MMSE, <255 |
2 (3%) |
12 (16%) |
0.021 |
1Tertiary education (partial or completed university or college) 2I-ADL=Instrumental Activities of Daily Living 3Excellent/very good/good 4Frailty measured with the following frailty indicators: weakness, fatigue, weight loss, physical activity, poor balance, slow gait speed, visual impairments, and cognition categorized into non-frail (0 indicators), pre-frail (1-2 indicators), and frail (≥3 indicators) 5MMSE=Mini Mental State Examination |
Table 1: Baseline characteristics of participants.
|
Historical controls n=66 |
From intervention trial (RCT) to full-scale n=77 |
p-value |
||
|
OR |
|
OR |
||
Higher levels of frailty |
|
||||
three months |
25 (38%) |
1 |
23 (30%) |
0.70 (CI 0.35-1.40) |
0.313 |
six months |
27 (41%) |
1 |
24 (31%) |
0.62 (CI 0.33-1.30) |
0.227 |
twelve months |
29 (44%) |
1 |
24 (31%) |
0.58 (CI 0.29-1.15) |
0.116 |
Maintained levels of frailty |
|
||||
three months |
18 (27%) |
1 |
15 (20%) |
0.65 (CI 0.30-1.41) |
0.272 |
six months |
19 (29%) |
1 |
14 (18%) |
0.55 (CI 0.25-1.21) |
0.136 |
twelve months |
10 (15%) |
1 |
11 (14%) |
0.93 (CI 0.37-2.36) |
0.884 |
Decreased levels of frailty |
|
||||
three months |
23 (35%) |
1 |
39 (51%) |
1.92 (CI 0.98-3.77) |
0.059 |
six months |
20 (30%) |
1 |
39 (51%) |
2.36 (CI 1.18-4.70) |
0.015 |
twelve months |
27 (41%) |
1 |
42 (55%) |
1.73 (CI 0.89-3.37) |
0.105 |
Table 2: Odds ratio (OR) with 95% confidence interval (CI) for changes in levels of frailty at follow-ups.
|
Historical controls n=66 |
From intervention trial (RCT) to full-scale n=77 |
p-value |
||
|
OR |
|
OR |
||
Higher levels of SRH |
|
||||
three months |
20 (30%) |
1 |
27 (35%) |
1.24 (CI 0.61-2.51) |
0.546 |
six months |
20 (30%) |
1 |
30 (39%) |
1.47 (CI 0.73-2.95) |
0.280 |
twelve months |
18 (27%) |
1 |
29 (38%) |
1.61 (CI 0.79-3.28) |
0.189 |
Maintained levels of SRH |
|
||||
three months |
31 (47%) |
1 |
40 (52%) |
1.22 (CI 0.63-2.36) |
0.553 |
six months |
29 (44%) |
1 |
31 (40%) |
0.86 (CI 0.44-1.67) |
0.657 |
twelve months |
28 (42%) |
1 |
37 (48%) |
1.26 (CI 0.65-2.43) |
0.501 |
Decreased levels of SRH |
|
||||
three months |
15 (23%) |
1 |
10 (13%) |
0.51 (CI 0.21-1.22) |
0.130 |
six months |
17 (26%) |
1 |
16 (21%) |
0.76 (CI 0.35-1.65) |
0.482 |
twelve months |
20 (30%) |
1 |
11 (14%) |
0.38 (CI 0.17-0.88) |
0.023 |
Table 3: Odds ratio (OR) with 95% confidence interval (CI) in changes in levels of self-rated heath (SRH) at follow-ups.
|
Historical controls n=66 |
From intervention trial (RCT) to full-scale n=77 |
p-value |
||
|
OR |
|
OR |
||
Improved ADL |
|
||||
three months |
21 (32%) |
1 |
17 (22%) |
0.61 (CI 0.29-1.28) |
0.191 |
six months |
17 (26%) |
1 |
19 (25%) |
0.94 (CI 0.44-2.01) |
0.882 |
twelve months |
15 (23%) |
1 |
19 (25%) |
1.11 (CI 0.51-2.42) |
0.785 |
Maintained ADL |
|
||||
three months |
31 (47%) |
1 |
34 (44%) |
0.89 (CI 0.46-1.73) |
0.736 |
six months |
19 (29%) |
1 |
29 (38%) |
1.49 (CI 0.74-3.02) |
0.264 |
twelve months |
20 (30%) |
1 |
23 (30%) |
0.98 (CI 0.48-2.01) |
0.955 |
Decreased ADL |
|
||||
three months |
14 (21%) |
1 |
26 (34%) |
1.89 (CI 0.89-4.03) |
0.098 |
six months |
31 (47%) |
1 |
29 (38%) |
0.68 (CI 0.35-1.33) |
0.262 |
twelve months |
31 (47%) |
1 |
35 (45%) |
0.94 (CI 0.49-1.82) |
0.856 |
Table 4: Odds ratio (OR) with 95% confidence interval (CI) for changes in degree of independence in Activities of Daily Living (ADL) at follow-ups.
|
Historical controls n=66 |
From intervention trial (RCT) to full-scale n=77 |
|
OR |
OR |
p-value |
|
Decreased frailty |
|
||
three months |
1 |
1.68 (CI 0.87-3.27) |
0.124 |
six months |
1 |
1.80 (CI 0.92-3.49) |
0.085 |
twelve months |
1 |
1.52 (CI 0.77-2.99) |
0.226 |
Decreased self-rated health |
|
||
three months |
1 |
0.73 (CI 0.37-1.46) |
0.373 |
six months |
1 |
0.76 (CI 0.39-1.47) |
0.412 |
twelve months |
1 |
0.59 (CI 0.30-1.15) |
0.119 |
ADL independence |
|
||
three months |
1 |
1.48 (CI 0.76-2.89) |
0.249 |
six months |
1 |
0.69 (CI 0.36-1.35) |
0.283 |
twelve months |
1 |
0.91 (CI 0.47-1.76) |
0.777 |
*Analyses adjusted for baseline differences |
Table 5: Ordinal Logistic Regression with 95% confidence interval (CI) for decreased frailty, decreased self-rated health, and ADL independence at follow-ups*.
- Fried LP, Ferrucci L, Darer
J, Williamson JD, Anderson G (2004) Untangling the concepts of disability,
frailty, and comorbidity: implications for improved targeting and care. J
Gerontol a Biol Sci Med Sci 59: 255-263.
- Ferrucci L, Guralnik JM,
Studenski S, Fried LP, Cutler GB Jr, et al. (2004) Designing randomized,
controlled trials aimed at preventing or delaying functional decline and
disability in frail, older persons: a consensus report. J Am Geriatr Soc 52: 625-634.
- Clarfield AM, Bergman H,
Kane R (2001) Fragmentation of care for frail older people-an international problem
Experience from three countries: Israel, Canada, and the United States. J Am
Geriatr Soc 49: 1714-1721.
- Leichsenring K (2004) Developing
integrated health and social care services for older persons in Europe. Int J
Integr Care 4: e10.
- Hofmarcher M, Oxley
H, Rusticelli E (2007) OECD Health Working Paper NO 30. Improved health system
performance through better care coordination. Organisation for Economic
Co-operation and Development: 1-85.
- Daniels R, van Rossum E, de
Witte L, Kempen GI, van den Heuvel W (2008) Interventions to prevent disability
in frail community-dwelling elderly: a systematic review. BMC Health Serv Res 8:
278.
- Ouwens M, Wollersheim H,
Hermens R, Hulscher M, Grol R (2005) Integrated care programmes for chronically
ill patients: a review of systematic reviews. Int J Qual Health Care 17: 141-146.
- Wilhelmson K, Duner A, Eklund K, Gosman-Hedstrom
G, Blomberg S, et al. (2011) Design of a randomized controlled study of
a multi-professional and multidimensional intervention targeting frail elderly
people. BMC Geriatr 11: 24.
- Berglund H, Duner
A, Blomberg S, Kjellgren K (2012) Care planning at home: a way to increase the
influence of older people? Int J Integr Care 12: e134.
- Eklund K, Wilhelmson K,
Gustafsson H, Landahl S, Dahlin-Ivanoff S (2013) One-year outcome of frailty
indicators and activities of daily living following the randomised controlled
trial; "Continuum of care for frail older people". BMC Geriatr 13: 76.
- Ebrahimi Z,
Eklund K, Dahlin-Ivanoff S, Jakobsson A, Wilhelmson K (2016) Effects of a
continuum of care intervention on frail elders’ self-rated health, experiences
of security/safety and symptoms: A randomised controlled trial. Nord J Nurs Res
37: 33-43.
- Ekelund C,
Eklund K (2015) Longitudinal effects on self-determination in the RCT
"Continuum of care for frail elderly people". Qual Ageing Older
Adults 16: 165-176.
- Mathiowetz V, Kashman N,
Volland G, Weber K, Dowe M, et al. (1985) Grip and pinch strength: normative
data for adults. Arch Phys Med Rehabil 66: 69-74.
- Tibblin G, Tibblin B, Peciva
S, Kullman S, Svardsudd K (1990) "The Goteborg quality of life
instrument"-an assessment of well-being and symptoms among men born 1913
and 1923. Methods and validity. Scand J Prim Health Care Suppl 1: 33-38.
- Berg KO, Wood-Dauphinee SL,
Williams JI, Maki B (1992) Measuring balance in the elderly: validation of an
instrument. Can J Public Health 83 Suppl 2: S7-11.
- Peterson MJ,
Giuliani C, Morey MC, Pieper CF, Evenson KR, et al. (2009) Physical activity as
a preventative factor for frailty: the health, aging, and body composition
study. J Gerontol a Biol Sci Med Sci 64: 61-68.
- Moutakis K, Stigmar G, Hall-Lindberg
J (2004) Using the KM visual acuity chart for more reliable evaluation of
amblyopia compared to the HVOT method. Acta ophthalmol Scand 82: 547-551.
- Claesson
L, Blomstrand J, Eklund K, Eriksson K, Dahlin-Ivanoff S (2013) Comparison of
visual acuity charts identifying visual impairment among older people outside
the eye clinic. Disabil Rehabil 35: 1394-400.
- Folstein MF, Folstein SE,
McHugh PR (1975) "Mini-mental state". A practical method for grading
the cognitive state of patients for the clinician. J Psychiatr Res 12: 189-198.
- Sonn U, Åsberg KH (1991)
Assessment of activities of daily living in the elderly. A study of a
population of 76-year-olds in Gothenburg, Sweden. Scand J Rehabil Med 23: 193-202.
- Sonn U,
Grimby G, Svanborg A (1996) Activities of daily living studied longitudinally
between 70 and 76 years of age. Disabil Rehabil 18: 91-100.
- European
Medicines Agency - Science Medicines Health (2010) Committee for Medicinal
Products for Human Use. Guideline on Missing Data in Confirmatory Clinical
Trials. Committee for Medicinal Products for Human Use (CHMP): 1-12.
- Mulasso A, Roppolo
M, Giannotta F, Rabaglietti E (2016) Associations of frailty and psychosocial
factors with autonomy in daily activities: a cross-sectional study in Italian
community-dwelling older adults. Clin Interv Aging 11: 37-45.
- Ebrahimi Z, Wilhelmson K,
Eklund K, Moore CD, Jakobsson A (2013) Health despite frailty: exploring
influences on frail older adults' experiences of health. Geriatr Nurs 34: 289-294.
- Ebrahimi Z, Wilhelmson K,
Moore CD, Jakobsson A (2012) Frail elders' experiences with and perceptions of
health. Qual Health Res 22: 1513-1523.
- Wilhelmson
K, Andersson C, Waern M, Allebeck P (2005) Elderly people's perspectives on
quality of life. Ageing Soc 25: 585-600.
- Ebrahimi Z, Dahlin-Ivanoff
S, Eklund K, Jakobsson A, Wilhelmson K (2015) Self-rated health and
health-strengthening factors in community-living frail older people. J Adv Nurs
71: 825-836.
- Brummel-Smith
K (2007) Optimal Aging, Part 1: Demographics and Definitions. Ann Longterm Care
15: 26-28.
- Arnadottir SA,
Gunnarsdottir ED, Stenlund H, Lundin-Olsson L (2011) Determinants of self-rated
health in old age: a population-based, cross-sectional study using the
International Classification of Functioning. BMC Public Health 11: 670.
- Kennedy-Martin T, Curtis S,
Faries D, Robinson S, Johnston J (2015) A literature review on the
representativeness of randomized controlled trial samples and implications for
the external validity of trial results. Trials 16: 495.
- de Boer MR, Waterlander WE, Kuijper LD, Steenhuis IH, Twisk JW (2015) Testing for baseline differences in randomized controlled trials: an unhealthy research behavior that is hard to eradicate. Int J Behav Nutr Phys Act 12: 4.