Figure 1 demonstrates and the steps of selecting eligible studies. A list of the exact number of studies evaluated and selected or rejected at every step is also included. Seven studies were retrieved from the bibliographic references of reviewed studies and other reviews. Finally, 22 original studies complied with the quality criteria that could answer the research question were included in review (
12,
14,
16-
35).
Tables 1 -
5 summarizes the main characteristics of 22 selected studies. Severity of HF was determined using the NYHA classification. In about 50% of studies, patients who participated in education programs were in II to IV stages (
12,
14,
19,
22,
24,
26,
31,
32,
34,
35), while in four studies patients were evaluated in the first stage (
17,
18,
20,
30). Only in 32% of studies, the severity of HF was not assessed (
16,
21,
23,
25,
27,
28,
33).
The studies evaluated the impact of education programs provided by nurses on improvement of self-care behaviour in patients with HF and on achieved clinical outcomes such as improvement of quality of life and reduction of mortality, readmission and hospitalization rates due to HF because of deregulation of HF.
3.6. Readmission Rates
Eight studies reported readmission rates after implementation of nursing educational programs (
14,
20-
22,
24,
31,
33,
35) (
Table 6). The follow-up period in each study varied between three (
21), six (
22,
23) and twelve months (
24,
31,
33). One study had twelve to eighteen months (
20) and one 24 months follow-up (
35). In five of seven studies, no statistically significant difference was found regarding reduction of readmissions between intervention and control groups. Stromberg (
31) found that three months after the intervention the number of readmissions reduced by 42% (P = 0.047), however twelve months after implementation of this education program no significant decrease in the rate of readmissions was noticed. Blue et al. (
24) found that during one year of follow-up, rates of readmissions of patients with HF decreased with RR 0.71 (0.54, 0.94), P = 0.018. Krumholz et al. (
33) found a significant reduction in all-cause readmission rates in the intervention group one year after patient discharge.
Readmission rates due to HF were evaluated in five studies (
14,
22,
24,
32,
33) (
Table 6), with follow-up after the intervention in three (
32), six (
14,
22) and twelve months (
24,
33). Readmission rates due to HF seemed to decrease significantly in one study (
24). Krumholz et al. (
33) found that readmission rate after one year of intervention decreased significantly by 47.5%. Patients at the same study had at least one readmission due to deregulation of HF with RR 0.60 (0.41, 0.89), P = 0.01. Stromberg (
31) found a significant reduction of HF readmission rates (35.9%) in the intervention group at 6-month follow-up.
3.7. Hospitalization Rates
Five studies assessed the overall hospitalization rates (
14,
20-
22,
29) and five studies evaluated hospitalization rates due to HF (
14,
20,
22,
27,
29) (
Table 6). In all studies, no statistically significant results were found in reduction of hospitalization rates for any reason (
14,
20-
22,
29). In three studies, a statistically significant effect on hospitalization rates due to HF was found (
14,
20,
27). Riegel et al. (
14) found a statistically significant difference three and six months after the intervention regarding reduction of hospitalization rates due to HF (45.7%, P = 0.03, 47.8%, P = 0.02). Similarly 6 months later, the rates decreased significantly in the study of Koelling et al. with RR 0.49 (0.27 - 0.88), P = 0.015 (
27).
Our systematic review highlighted the importance of educational programs in patients with HF as part of their comprehensive treatment. Interpreting the results of 22 reviewed studies, great improvement was noticed on self-care behaviour of patients who received education for effective management of HF. However, there was not a significant reduction on readmission, hospitalization and mortality rates of patients after the educational process. Furthermore, no significant improvement was found on health-related quality of life of patients with HF.
As aforementioned, most reviewed studies demonstrated a significant association between nursing education and promotion of self-care behaviour in HF patients. Through education, HF patients can move from the simple level of self-maintenance to the advanced level of self-management (
36). Additionally, targeted educational programs to enhance self-care behaviour could improve outcomes of patients with HF, such as reduction of mortality levels (
15).
However, nursing education does not seem to positively affect outcomes of patients with HF such as quality of life, readmission, hospitalization and mortality rates. Inability to draw conclusions about the effectiveness of nursing educational programs in improvement of these outcomes is possibly due to different design of research studies, demographic and clinical characteristics of patients with HF among studies, time tracking, tools used to evaluate examined patient outcomes and educational approaches.
The educational programs used in the reviewed studies differed significantly for strategy implementation (average, duration, time, and manner of implementation) and content. These factors seemed to determine the targeted achievements of each educational program and should be considered when evaluating the results of a study (
37).
The study of Stromberg et al. (
23) evaluated the impact of nursing education using computers to enhance knowledge about HF and improve quality of life. Researchers argued that this type of education is useful, when there is not an adequate number of health professional to implement these education programs. The effectiveness of using computers in contrast to using leaflets and verbal information was supported by another comparative study in patients with hypertension (
38). In addition, other studies claimed that providing video tapes gives an opportunity to patients to receive a greater quantity of complex information about HF (
37). Moreover, patient education via telephone improved clinical outcomes, such as reducing readmissions rates. However, such methods should take into account individual characteristics of patients and severity of their clinical status (
14).
Furthermore, determinant factors for achieving the goals of education are individual patient’s characteristics such as age, sex, severity of HF, co-morbidity, socio-economic factors, educational level, presence of anxiety and depression (
39). Most studies in our review did not assess the impact of such factors.
According to the study of Smeulders et al. (
40), patients with an advanced cognitive status seem to benefit more from participation in an education program for HF compared to those with a lower cognitive status. However, the same study showed that high educational level was negatively related to improvement of indicators such as quality of life.
The results of the present review showed that health-related quality of life of patients with HF did not improve significantly after participating in educational process. Education programs included adherence to treatment and identification and management of symptoms and compliance with diet restrictions. However, quality of life is a multifactor concept, with a physical dimension, which is improved by educating patients with HF, as well as psychological and social dimensions, which seem to be affected significantly by presence of disease, but did not constitute a part of education programs as presented by most studies (
41).
To achieve effective improvement in all dimensions of quality of life, patient education should be based on a more holistic approach. Factors associated with a poorer quality of life such as social isolation and loss of social function experienced by patients in family and business environment should be taken into account (
42,
43). Besides, limited physical function and loss of social roles lead to loss of self-esteem, anxiety, and depression (
44,
45).
In the study of Shearer et al. (
18), there was no improvement in the sum of scale of physical dimension, but they found higher scores in the mental aspect in patients with HF. This result is likely to accompany the sense of security gained by patients who know how to manage their symptoms.
The results of studies on quality of life are considerably limited as resulted from a variety of measurement tools, which are either specific instruments for heart failure (
12,
27,
28,
32), general tools measuring quality of life (
18,
19,
30,
34) or both (
20,
22,
23,
26,
35). Therefore, sensitivity of tools to enhance quality of life before and after the educational process should be considered.
Sisk et al. (
20) found that quality of life in patients with heart failure improved six months after the training process. In this study, the mean age of study population was 59.4 years and participants diagnosed with chronic HF, NYHA classes I-IV. Compared with other studies of the review, where no significant differences were found, individual patient’s characteristics differed in mean age, with a minimum of 70 years and in stage of heart failure as II-IV when symptoms are more intense and would affect the functional capacity of patients and therefore quality of life. This systematic review aimed to identify the effectiveness of education in improving clinical outcomes such as mortality, all-cause hospital readmissions and readmissions due to HF. After evaluating the results of 22 studies, the ability of nursing education to reduce these rates was not clearly demonstrated. These results conflict with those of other reviews that highlight the effectiveness of education in reducing readmissions (
40,
46).
Specifically, Jovicic et al. (
46) compared the results of six studies and found a statistically significant reduction in all-cause hospital readmissions and readmissions due to HF in patients participated in educational process. In the systematic review of McAlister et al. (
15) an interesting methodology was followed; 29 studies were clustered to issue results. More specifically, they found that educational strategies that incorporated a specialized monitoring team led to a reduction in mortality rates (RR 0.75, 95% CI 0.59 - 0.96), hospitalizations rates due to HF (RR 0.74, 95% CI 0.63 to 0.87) and all-cause hospitalization rates (RR 0.81, 95% CI 0.71 to 0.92). Targeted education to enhance patient’s self-care strategies seemed to reduce HF hospitalization rates (RR 0.66, 95% CI 0.52 to 0.83) and all-cause hospitalizations (RR 0.73, 95% CI 0.57 to 0.93), but not mortality rates (RR 1.14, 95% CI, 0.67 to 1.94).