Introduction
Chronic multimorbidity is the coexistence of two or more long-term conditions with slow progression [
1], and is the most common and serious health problem in older adults [
2‐
4]. The prevalence of chronic multimorbidity in community-dwelling adults over 65 years of age is around 70% [
5‐
8]. On a functional level, the presence of chronic multimorbidity is associated with sarcopenia, reduced handgrip strength [
8,
9], impaired physical functioning [
10] and increased risk of functional limitation [
11]. Furthermore, older adults with chronic multimorbidity are at increased risk of pressure ulcers and nutritional imbalance [
12,
13]. All this negatively affects the autonomy [
14] and quality of life of community-dwelling older adults [
15,
16]. Chronic multimorbidity and the physical limitations that it causes are associated with higher levels of stress [
17] and depressive symptoms in older adults [
18]. Indeed, the presence of chronic multimorbidity triples the risk of depression in older adults [
19] and is associated with an increased risk of suicide mortality [
20]. Chronic multimorbidity increases the risk of loneliness and social exclusion [
21,
22] at the same time as it decreases health-promoting behaviours [
23] and social participation [
24]. Community-dwelling older adults with chronic multimorbidity have a higher risk of hospitalisation [
5,
25,
26], they attend emergency department and outpatient clinics more frequently [
27,
28], and incur in higher pharmaceutical expenditure [
29,
30]. This leads to an increased burden on healthcare systems and total health costs [
5,
6,
28,
30,
31].
The organisation of healthcare systems often requires older adults with chronic multimorbidity to see several specialists who treat their health problems in a fragmented way [
32‐
34]. As a consequence, older adults are confronted with complex therapeutic regimens with long lists of medication [
33], restrictive dietary indications and drastic changes in lifestyle habits [
35]. Therefore, it is important for nurses to implement interventions that help older people with chronic multimorbidity to navigate healthcare systems and foster their self-care and autonomy to manage therapeutic regimens effectively [
36‐
39]. In this regard, the WHO suggests that home visiting programmes could improve the health of community-dwelling older adults with chronic multimorbidity [
40,
41]. A home visit is a service in which trained healthcare professionals visit individuals in their own home with the aim of increasing autonomy through primary, secondary and tertiary prevention activities [
42]. The effects of home visiting programmes in older people with chronic heart failure [
43,
44] and chronic high blood pressure have been studied [
45], and are known to be associated with significantly lower mortality [
46]. Even those home visiting programmes based on telemedicine have been able to demonstrate improvements in quality of life, self-efficacy and depression levels [
47]. However, the available evidence on the effects of home visiting programmes may be contradictory and more research is needed before they can be recommended [
42,
48,
49]. Furthermore, after an exhaustive literature search, no literature review has been found that provides evidence on the effects of home visiting programmes on community-dwelling older adults with chronic multimorbidity. Therefore, the aim of this study is to examine the effects of home visiting programmes on community-dwelling older adults with chronic multimorbidity.
Discussion
This scoping review of four studies examined the effects of home visiting programmes on community-dwelling older adults with chronic multimorbidity. The interventions varied in terms of the providers, sample size, duration, frequency and content. Home visiting programmes for community-dwelling chronically multimorbid older adults, in which home visits are the only intervention, have not been studied extensively. In fact, most of the studies included in this review complement home visits with telephone calls [
53,
54,
56].
HRQoL was explored in two of the studies included in our review [
53,
55]. HRQoL improved significantly immediately after the intervention in the PCG, and after the follow-up in the HVG [
53]. Fisher et al. (2020) [
55] also found significant differences after the intervention in the general health domain, which coincides with a study involving patients with Diabetes Mellitus and other associated morbidities [
59]. While Chow & Wong (2014) [
54] used the SF-36 to assess HRQoL, the other studies used the SF-12. The lack of significant improvements in HRQoL could be associated with the sensitivity of the different questionnaires used to assess it, and differences in patients’ perceptions [
60]. Furthermore, according to Markle-Reid et al. (2018), [
59] a longer follow-up of the effects of interventions may be necessary to see an effect on quality of life. In addition, the majority of studies in this review included more women than men and this could also explain why HRQoL has not improved across the board, since men respond better to self-care interventions involving education and support from others [
61].
Self-efficacy in chronic disease management was found to improve immediately after the intervention for the PCG and at follow-up for both the PCG and the HVG [
53]. This could imply that the combination of face-to-face visits and calls are more likely to achieve greater benefits and have long-term effects on both HRQoL and self-efficacy [
62‐
64]. Fisher et al. (2020) [
55] and Markle-Reid (2018) [
59] did not find that home visits significantly improved self-efficacy amongst older adults with chronic multimorbidity. These results differ from the evidence showing that a psychological home visiting programme can improve self-efficacy in older adults with a chronic condition [
65]. According to Hur (2018) [
66], socio-economic factors influence self-efficacy and are therefore more likely to have an impact on older adults. Since in the study by Fisher et al. (2020) [
55] the visits were set according to the participants’ budget and preferences, this could have influenced the results.
Chow & Wong’s study (2014) [
53] found improvements in self-assessed health in the PCG but not in the HVG. This is likely to be because phone calls alone have positive effects on self-assessed health without the need for visits [
67]. Therefore, the positive effects on self-assessed health found in other studies that combined visits and calls could have been achieved with calls alone [
62,
63]. While calls could achieve immediate improvements after the intervention, visits could contribute to maintaining the effects over time [
53]. However, contrary to these hypotheses, improvements in self-rated health have also been seen through home visits alone [
68]. The feasibility of a virtual visiting programme, a hybrid modality between face-to-face visits and telephone calls for community-dwelling older adults with multimorbidity could be questioned [
69‐
72]. Nonetheless, face-to-face communication is known to be more beneficial than telematic communication for older adults [
73].
In terms of the effects of home visiting programmes on the use of health services, the absolute number of readmissions was lower in the intervention groups [
53,
55]. However, the results of these studies are not consistent and concur with the evidence showing that while in some contexts home visits are effective to reduce hospital admissions [
46], in other contexts they are not [
74,
75]. These differences could be explained by the fact that face-to-face visit are considered the ideal way to detect and manage symptoms early, thus preventing relapses and readmissions [
76]. In the studies included in this review, the interventions were not found to achieve a significant reduction in the frequency of ED visits [
55]. Nonetheless, a significant reduction in frequency over time was found within the CG, which could be explained by the fact that the healthcare professionals conducting the home visits were probably able to resolve the situation without the need for referral to the emergency department [
77].
The studies that explored expenditure on health services showed no significant differences for total costs [
55,
56]. This is in line with the study by Seidl et al. (2015), [
62] where no significant differences in total cost were found either. However, significant increased costs related to home and outpatient care for the intervention groups were found [
55,
56]. This could be because home visits combined with calls improve an individual’s ability to recognise symptoms [
78], which may prompt them to seek help and thus increase health spending [
79].
Knowledge, attitude, and behaviour in relation to medicine safety were only assessed in the study by Wang et al. (2013), [
54] whose intervention only resulted in significant changes in knowledge and some behaviours (checking medication when receiving prescription; checking medication before taking them; correct care of surplus medication). These results could be due to the complex process required to change one’s attitude, as it is necessary to address the various factors that make up an individual's personality in order to achieve this change [
80]. A study exploring patients with hypertension who live in poverty had similar results; a nurse-led home visiting programme achieved significant improvements in understanding and controlling hypertension, as well as in managing the therapeutic regimen [
45]. However, a low socioeconomic and educational level are known to have a negative impact on adherence to the treatment regimen [
81]. This may have required greater precision and complexity in the interventions, even more so for patients with multimorbidity and associated polypharmacy [
82], which may have favoured positive results.
Although evidence suggests that home visits can improve mental health [
62,
83], none of the studies included in this review found significant differences between home visits and other interventions [
55,
56]. This may be because depressive symptoms in people with multimorbidity overlap with somatic symptoms, often confounding the results [
84]. In fact, in Markle-Reid et al. (2021) [
56], participants were selected if they had depressive symptoms. This may have overlapped with manifestations of multimorbidity that are highly difficult to reverse [
84,
85], and may explain why their intervention did not improve perceived social support [
86]. Another aspect assessed in the Markle-Reid et al. (2021) [
56] study was the success of the item on obtaining information about health and social services. This result is related to the fact that part of the intervention consisted of explaining how health and social services work. Similarly, in a study in which telephone calls were conducted, positive effects were reported in relation to the information received [
87]. This could be due to the quality in the organisation and content of the interventions [
88] and that this population has one of the greatest needs for information [
89]. However, simply reporting having received information does not guarantee that it is adequate [
90].
Although all participants included were adults over 60 years of age, the fact that some studies included people of extreme ages may have influenced the results. Regardless of the number of chronic conditions, it is likely that there was a large difference in functional capacity and health levels between the lower and higher ages. In the context of aging, chronic conditions become more prevalent and common [
91,
92], with those living longer being more likely to have experienced better health that allowed them to reach that age [
93,
94]. Dividing the sample by age group to present the results could have provided additional information [
95]. Another important point to note is that some of the studies required their participants to have at least 2 chronic conditions, while others had at least 3. This may imply significant differences [
96,
97], as the number of chronic conditions correlates with the presence of greater complexity and complications [
98,
99]. In addition, studies such as Chow & Wong (2014) [
53] were limited to a narrow list of chronic conditions. They may have underestimated the presence of chronic conditions in the study’s participants, as well as excluded valid subjects from the sample [
100]. In Chow & Wong’s study (2014) [
54], home visits were carried out with patients who had recently been discharged from hospital. This situation could have maximised the intervention’s positive effects on the participants [
101].
Limitations
This scoping review has several limitations. The number of studies included is limited, which had an impact on the accuracy of our results. Furthermore, studies with different designs but with relevant data may have been excluded. We excluded studies that did not specify whether all their participants were older adults with chronic multimorbidity, even though they implemented home visiting programmes. On the other hand, one of the included studies evaluated a transition programme and there are already systematic reviews on the effects of this type of intervention. Nevertheless, the intervention was implemented entirely in the participants’ homes, and they all met our study’s inclusion criteria. In addition, we found differences in the way the statistical results were presented in the studies included, both within and between studies. Likewise, it is worth highlighting the studies’ heterogeneity in terms of the healthcare professionals who carried out the visits, the duration of the visits, their frequency, as well as their content. In most of the included studies, home visits are carried out alongside telephone calls; this shows the lack of studies only reporting the effects of a home visiting programme in community-dwelling older adults with chronic multimorbidity. In addition, participants in two of the included studies were recruited immediately after hospital discharge. In this respect, the acute health conditions leading to hospital admission may have influenced the results. Therefore, their comparison with the other studies should be interpreted with caution. It is also important to consider that the settings in which the studies were conducted were very diverse and with certain organisational particularities, so it is difficult to be sure whether the interventions and the results are transferable to other contexts. Similarly, the inclusion of studies that are 10 years old may detract from the relevance of the interventions evaluated in the current global context. The varying quality of the few included articles, as well as the presence of risk of bias in some of them, may limit the validity of this review’s findings.
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