Skip to main content

Self-management of heart failure in dementia and cognitive impairment: a systematic review



The cornerstone of effective management in heart failure (HF) is the ability to self-care.

Aims include i) To determine factors influencing self-care in HF patients with cognitive impairment (CI) and ii) to determine the influence of cognitive domains on self-care in patients with HF and CI.


MEDLINE, CINAHL, EMBASE, EBSCOHost, PsychINFO, ProQuest Research Library, Health Technology Assessment Database, The Cochrane Library, Web of Science and Scopus databases were systematically searched. Original research describing the relationship between cognition and HF self-care in community-dwelling older persons with dementia/CI in English, published in a peer-reviewed journal from 1stJanuary(2000)-22ndMarch(2016) was identified. Study and population characteristics, data sources, self-care processes, methods of cognitive assessment, cognitive domains affected, study outcomes, impact of impairment, and other risk factors of self-care impairment were abstracted by two reviewers.


Of 10,688 studies identified, 14 met the inclusion criteria. Patients with HF and CI ranged from 14 to 73%. Where reported, self-care maintenance adequacy ranged from 50 to 61%; self-care management adequacy ranged from 14 to 36% and self-care confidence adequacy ranged from 0 to 44% on the Self-care of Heart Failure Index (SCHFI). All but one study predicted poor self-care ability according to poor outcome on cognitive testing. Additionally, specific cognitive domain deficits impaired self-care. Subjects with lower cognitive scores were less likely to seek assistance while subjects with depression had poor self-care abilities.


Clinicians must consider the type and severity of impairments in cognitive domains to tailor management. Awareness of depression, self-confidence and support access may modulate self-care ability.

Peer Review reports


Heart failure (HF) is a complex clinical syndrome arising from limited cardiac filling or ejection [1]. HF is a major economic burden estimated to cost the United States healthcare system approximately $USD 30.7 billion annually [1, 2]. HF has a prevalence of 1–2% in the general population however, rises to ≥10% of those above 70 years of age and contributed to one-in-nine deaths in 2009 [3]. With an ageing population, the prevalence of HF is projected to rise, which requires considering the management of patients with HF in the context of other comorbid geriatric conditions such as dementia [4].

Dementia (a severe form of cognitive impairment) is expected to double in prevalence every 20 years, reaching an estimated 74.7 million persons worldwide by 2030 [5]. Cognitive impairment (CI) is already commonplace being present in 25–75% of those with HF [6].

Patient self-care is a cornerstone of effective HF management. Key self-care behaviors in HF comprise adhering to complex medication regimens, ensuring dietary sodium and fluid restrictions, appropriate exercise as well as recognizing, managing, and seeking health care advice when changes in symptoms arise [7, 8].

Self-care in HF is a cognitively demanding process requiring response to cues, decision making, disease knowledge and skills in self-management tasks [6]. The neuropsychological deficits of attention, memory and executive dysfunction observed in HF patients could be related to neuroanatomical regional blood flow reduction and may challenge engagement in appropriate self-care behavior [9, 10]. Unfortunately, CI and ability to self-care is frequently overlooked, whereby sub-optimal engagement in HF self-care is assumed to be due to poor motivation and/or poor compliance [6, 8].

At present there are several proposed self-management programs for patients with HF, however, none benefit morbidity or mortality [11]. The impact of CI or dementia on participation is unknown due to paucity of data. A previous systematic review identified a significant correlation between mild cognitive impairment (MCI) and self-care in HF among eight of nine studies [6]. However, this only included populations with MCI. The current study is the first to examine self-care in community dwelling older persons with mild to severe CI.


This systematic review aims to determine: i) factors influencing self-care in HF patients with dementia/CI ii) whether deficits in specific cognitive domains have a differential influence on HF self-care in patients with a co-morbid dementia/CI.


This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (Additional file 1) [12].


In this review, dementia is defined as a significant cognitive decline from baseline performance in one or more of five cognitive domains: complex attention, language, perceptual-motor function, learning and memory and, executive function (Additional file 1: Table S1) with concomitant impairment in independent functioning. MCI is defined as a non-normal, non-demented cognitive state with decline from baseline performance in one or more of six cognitive domains, where the deficits do not impair independent functioning [13]. Cognitive impairment in this review is defined as a clinical state encompassing any degree of CI from mild to severe (dementia).

Self-management is defined as the ability of the patient to be an active participant in their treatment where they arereponsible for daily management. Self-management comprises five core skills: problem solving, decision making, resource utilization, interacting with health care providers and, taking action [14]. We also describe domains of self-care identified in the Self Care of Heart Failure Index (SCHFI) including self-care maintenance (10 items: behavioural adherence to treatment recommendations), self-care management (6 items: ability to recognise symptoms and respond appropriately by implementing remedies and determining their effectiveness) and self-care confidence (6 items: confidence to engage with self-care processes) [15].

The definition of HF is from the American Heart Association/American College of Cardiology as a “complex clinical syndrome that can result from any structural or functional cardiac disorder that impairs the ability of the ventricle to fill or eject blood” [1].

Data sources and searches

The following ten databases were searched on 22 March 2016: MEDLINE, CINAHL, EMBASE, EBSCOHost, PsychINFO, ProQuest Research Library, Health Technology Assessment Database, The Cochrane Library, Web of Science and Scopus.

Key terms describing dementia, an aged population, HF and self-management were identified by JEI and JL (Additional file 1), adapted to each database and used to conduct a systematic search. A bibliographic review of included articles was conducted identify additional relevant studies.

Study selection

Inclusion criteria comprised original research available in English published in a peer-reviewed journal from 1 January 2000 to 22 March 2016. The study population of interest was community dwelling older persons. Included studies investigated paradigms of self-management in populations who had an established diagnosis of dementia or MCI. Studies exploring the impact of dementia or MCI, and the influence of differentially impaired cognitive domains on self-management in HF persons were included.

Exclusion criteria comprised studies that included populations without CI or populations without a diagnosis of HF. Studies solely testing the effect of an intervention could have introduced bias and therefore were excluded.

MJ and JL screened results for eligibility by title and abstract. TP and JL then independently applied inclusion and exclusion criteria to the full texts to select studies to be appraised, and final selection was made by consensus between JL, TP and JEI.

Data extraction and quality assessment

Extracted information consisted of study and population characteristics, data sources, self-care processes, methods of cognitive assessment, cognitive domains affected, study outcomes, impact of impairment, and other risk factors of self-care impairment. Conversion of scales reporting the severity of comorbid conditions was developed.

Included articles were independently assessed by TP and JL using the National Institutes of Health (NIH) study quality assessment tool and differences were resolved by discussion.

Role of the funding source

This work was supported by the Australian Government Dementia Training Study Centers, Monash University and Ballarat Health Services. These organizations did not have a role in study selection, quality assessment, data synthesis, or in the writing of the manuscript. The investigators are solely responsible for the content of the review.


Study and population characteristics

The combined searches returned 10,688 studies, of which 14 met the inclusion criteria (Additional file 1). Of the 14 studies, just over a third (n = 6) of the studies were based in the United States of America (USA), two studies were conducted in each of Sweden and Australia while one study was conducted in each of Korea, Italy, Canada and the Netherlands. All studies (n = 14) were published from 2005 onwards (Table 1). Included studies were judged to be of fair (n = 9) and good (n = 5) quality.

Table 1 Study and Population Characteristics

Included studies utilized various measures to ascertain HF self-care including disease knowledge (n = 1) (16], The Kansas City Cardiomyopathy Questionnaire (KCCQ) (n = 1) (17], prospective memory (n = 1) [18], adherence to prescribed medication and lifestyle regimens (n = 2) [19, 20], ability to complete activities of daily living (ADLs) and independent activities of daily living (IADLs) (n = 2) [21, 22], The European Heart Failure Self-Care Behavior Scale (EHFScB-9) (n = 1) [23, 24] and The SCHFI (n = 6) [9, 25,26,27,28,29,30,31,32] of which one [31] study also utilized the EHFScB-9 (Table 1).

Study designs were largely cross sectional (n = 10). Other designs included prospective cohort studies (n = 2) and randomized controlled trials (n = 2). Methods of data collection included questionnaires in combination with examination (n = 6), face-to-face interview (n = 1) or telephone interview (n = 1), face-to-face interview alone (n = 5) or interview in combination with examination (n = 1). Overall study populations were large, ranging from 30 [33] to 628 [32] participants. Participants were mostly hospital outpatient attendees (n = 10) while the remaining participants were from primary care/cardiology clinics (n = 2), a mix of hospital inpatients and external sources (n = 1) while one study [22] did not identify the setting from which participants were drawn (Table 1).

Most studies had participants with a mean age over 65 years (n = 11). Studies comprised predominantly male participants with proportions ranging from 55% [16] to 98.4% [20] (Table 1). All studies utilized populations from an urban setting.

The severity of HF for included patients were reported according to the New York Heart Association (NYHA) classification for HF and/or left ventricular ejection fraction (LVEF). Three studies [19, 21, 22] recruited subjects with NYHA class II to IV. Patients in these studies had a mean LVEF of 41%. One study recruited subjects with NYHA classes II and III whereby patients had a mean ejection fraction of 34% [9]. In studies with HF patients as a subgroup, HF made up 9–59% of subjects and patients either had NYHA class III or IV [16, 17, 24, 25, 29,30,31,32]. In many studies, when reported, measured LVEF ranged from 28 to 51% [16, 20, 29,30,31,32] with one study reporting 90% of subjects having a LVEF ≤45% [29] and another with 72% of the study population having a LVEF < 40% [24].

Twelve studies reported the comorbidity status of their subjects. Where comorbidity scores were convertible to severities (Additional file 1), the reported severity of comorbidities ranged from mild to severe [9, 24, 25, 31]. Mild comorbidity severity was prevalent in 41–82%, moderate severity in 15–30% and severe severity in 2–36% of these studies’ populations. Commonly reported comorbidities for HF patients in the community comprised hypertension (42% [16] - 76.9% [20]), previous myocardial infarction (52% [21] – 54% [19]), atrial fibrillation (17% [30] – 54% [29]) and diabetes (15% [30] – 53.4% [20]) (Table 1).

Cognitive impairment

Assessment of cognition was achieved through a combination of examination (n = 7) or interview (n = 6), with one study utilizing a telephone interview (n = 1) [17] to assess neuropsychological status. Global cognition was assessed in most (n = 11) of the appraised studies. Tests used to measure global cognition varied and included Mini Mental State Examination (MMSE) (n = 5), Montreal Cognitive Assessment (MoCA) (n = 2), Korean version of the MMSE (K-MMSE) (n = 1), Addenbrooke’s Cognitive Examination (n = 1), St. Louis University Mental Status (SLUMS) Exam (n = 1), Probed Recall Memory Test (n = 1), Digit Symbol Substitution Test (DSST) (n = 1) and Telephone Interviews of Cognitive Testing (n = 1) (Table 2).

Table 2 Cognitive Domains and Self-Care Processes Affected in Study Populations

The number of persons with CI varied throughout the studies, ranging from 21 (14%) [31] – 73 (73%) [29]. One study identified 40 (16%) of the study population to have SLUMS test scores consistent with dementia [20].

With regards to testing of individual cognitive domains, two [19, 20] studies tested all five cognitive domains while another three [9, 22, 24] tested four cognitive domains. One [21] study tested three cognitive domains and two [30, 33] tested two cognitive domains. The remaining appraised studies (n = 6) assessed global cognition rather than specific cognitive domains.


Self-care maintenance

One study [19] examining the influence of cognitive functioning on adherence to treatment recommendations reported non-adherence most commonly arising in diet (32% non-adherent) and exercise (49% non-adherent) recommendations. Less common was non-adherence to clinical appointments (3%) and medication management (1%). In a separate study [22], the same author found people with impaired executive function commonly required assistance with shopping (27%) and food preparation (32%) and less commonly required assistance with transport (8%), medication management (6%) and telephone usage (2%).

Medication adherence in a population of outpatient veterans was impaired in those with MCI when compared to non-CI (70.7% vs. 78.1% p = 0.017) subjects [20].

The proportion of patients with adequate self-care maintenance scores on the SCHFI ranged from 50% [29] to 61% [9]. 14% [30] to 36% [9] of patients had adequate self-care management scores and 0% [30] to 44% [9] had adequate self-care confidence scores.

Impact of cognitive impairment and domains on self-care

Nine studies explored the impact of CI (either global and/or specific domains) on self-care (Table 3).

Table 3 Study Outcomes, Impact of Cognitive Impairment, Relevant Risk Factors and Suggested Strategies

Relationship between global cognition and self-care

At the commencement of an educational intervention program for HF patients, patients with an MMSE <24 had lower scores in self-care and HF knowledge when compared to those who had MMSE scores >24 at baseline. However, there was no difference between the two groups after 6 months [16]. Subjects with MoCA scores <24 also had worse consulting behavior scores than their counterparts with scores > 24 [31].

In one study, cognitive function assessed by MMSE score did not significantly predict self-care ability despite contributing to detection of variance in domains of care in the authors’ model [25].

In contrast, Dickson and colleagues [9] demonstrated a significant association of CI (as determined by a DSST score less than <27) [26] with improved self-management and maintenance scores. Further, MoCA scores were significant for predicting self-care management abilities with subjects scoring < 26 being less likely to call a doctor or nurse for disease management guidance [29]. Potentially impacting self-care, subjects with a history of major adverse cardiac events had lower K-MMSE scores compared to those who were event free [30].

A summary of the influence of specific cognitive domains on self-care is presented in Table 3.

Other risk factors for self-care impairment

Other factors related to impairment in self-care were investigated in five studies (n = 5) (Table 3).

History of myocardial infarction was found to be protective for overall adherence to medication [19]. Additionally, male gender and having a comorbid diagnosis of depression or diabetes was predictive of lower IADL scores [22]. Furthermore, severe (NYHA) grades of HF were associated with reduced self-care management.

Cameron et al. [25] identified potential factors associated with each of the three domains of self-care. Better self-care maintenance was predicted by greater age and presence of a moderate to severe comorbidity. Improved self-care management was associated with presence of a significant comorbidity and high self-care confidence Finally, poor self-care management was related to male gender. This study only included 50 subjects of which n = 18 had a MMSE<27 so results should be interpreted with caution.


The impact of CI in patients with HF is significant, contributing to poor engagement in self-care leading to worse health outcomes and increased mortality. By elucidating the relationship between impairment in specific cognitive domains, self-care as well as identifying factors that may modulate self-care abilities, clinicians may tailor management accordingly. Barring patients with CI from participating in their own management is simplistic, disrespectful and may be counterproductive, increasing dependence and caregiver stress [14, 34, 35].

Statement of key findings

Poor cognition in patients with HF is well recognized and considered to be a result of chronic cerebral hypo-perfusion, leading to ischemic damage and subsequent functional alteration [10]. Optimal self-care is an important non-pharmacological aspect of HF management that stabilizes symptoms and improves health outcomes.

To our knowledge, this is the only systematic review to consider the role of CI, from the spectrum of mild CI to dementia, on self-care in community dwelling adults with HF. Throughout the appraised articles there was heterogeneity in the methods used to assess cognition and self-care. As a consequence, the results of appraised studies could not be analysed in an aggregate form.

Self-care domain adequacy in cognitive impairment

When assessment was based on the SCHFI self-care assessment tool, self-care management and self-care confidence adequacy was lacking in CI subjects with self-reported adequacy.

Interestingly, Vellone and colleagues suggest self-care confidence is impaired by poor cognition thus leading to worse self-care behaviours [32]. Dickson and colleagues also found that self-efficacy and positive attitudes towards disease were important in facilitating appropriate or “expert” self-care behaviours [9].

Of note, the proportion of participants with adequate self-care maintenance scores were equal, if not higher in CI subjects compared to those who had inconsistent levels of cognition [9, 29]. MCI subjects had lower medication adherence rates than subjects with no CI, but similar rates to those with increasingly worse CI [20]. This may be attributed to CI persons having strong social support networks and assistance, which has been shown to predict greater adherence to treatment in populations with cardiac disease [36]. Unfortunately, none of the studies appraised analysed the effect of caregivers or spouses on adherence in the population of interest.

Cognitive impairment and lifestyle adherence

Patients who either had impairments in multiple separate domains or global cognition had poor self-care maintenance abilities. These were namely medication adherence, compliance with lifestyle recommendations or requiring assistance with ADLs [19,20,21,22]. The impact of cognition on these aspects of self-care is important as it determines the execution of these key activities. For instance, medication management and driving are inextricably linked to outcomes such as re-hospitalisation or admissions to geriatric units respectively [22].

One proposed theory for impaired self-care ability is that as cognitive decline diminishes so does functional ability with the resulting lessened influence of personal values towards self-care [9, 37]. Specifically, cognitive domains implicated included attention/information processing, executive function, language and finally, visuospatial and constructional abilities. Attentional control and executive functioning are domains often impaired in most chronic, systemic diseases [38,39,40].

Given the published literature [41] it was expected that impaired executive function is linked to inability to self-care. Executive functioning is important as it is related to dis-inhibition, poor self-monitoring, poor organisation and planning and also affects learning and recall efficiency. Impairment in this domain affects the critical need for HF patients to be able to adapt to complex treatment and lifestyle regimens, to recognise and respond to worsening symptoms (e.g. fluid overload, shortness of breath), communicate and seek help in a timely manner, have insight into disease (hence higher rates non-adherence to cigarette smoking) and ability to conduct multiple daily self-management tasks [42, 43]. Therefore, deficits in executive function are known to be associated with a lack of both awareness about worsening symptoms and timely decisions ultimately leading to poorer outcomes, including decompensation and hospitalization [44].

Decline in language function is related to poor literacy, inability to state concerns about disease condition and, poor understanding of instructions and medical advice. All of these, along with executive function decrements may also contribute to worse treatment and lifestyle adherence in those with CI and HF.

If attention and poor concentration are an issue [9] it may distract from execution of certain tasks while impairment in prospective memory may have an adverse impact on engagement in self-care behaviours such as picking up prescriptions from the pharmacist, attending clinical appointments, treatment adherence and daily weighing, all of which are important in HF self-management [33].

Impairments in psychomotor speed may result in poor flexibility in shifting activities and slowing of responses to visual stimuli. These skills are important in learning and conducting multiple daily self-care tasks [24, 43].

Consistent with the relationship between CI and self-care with poor outcomes demonstrated by the majority of appraised studies, Pressler and colleagues reported that along with reduced LVEF (≤40%), impairment in global CI, memory, psychomotor speed and executive function were predictors of 12 month all-cause mortality [45].

Symptoms of HF are difficult to interpret even in cognitively intact individuals. This is increasingly difficult in the context of impaired cognitive domains and is compounded by the pathophysiology of HF decompensation where symptoms of fatigue or acute confusion may detract from executing effective self-care actions [46]. Reduced ability to self-care will subsequently lead to worsening symptoms and advanced cardiac dysfunction.

Seeking help

Subjects with poor MoCA scores were less likely to seek assistance from a medical staff for disease management guidance respectively [29, 31]. Executive function deficits may impair recognition of symptoms and problem-solving, hence these patients delay initiation of self-management and may not recognize when, why or from whom they need to seek assistance. This is further complicated by IADL, language and attention deficits as HF patients may not have the ability to engage in using communication facilities [29].

The effect of depression on self-care

Psychological status influences self-care behaviors [47] through patient perceived self-efficacy or indirectly, through effects on memory and executive function [48]. In the present review, a diagnosis of depression was found to be predictive of lower IADL abilities and poor self-care management [22, 25].

Education programs

One study explored the effectiveness of an education program [16]. CI patients had lower scores in self-care and HF knowledge initially compared to non-CI subjects. However, there was no difference in self-care and knowledge after 6 months of the program. This may be due to improvement in cardiac function and hence cognitive function in patients who were receiving acute treatment for HF [49]. However, several studies have also identified that provision of education, treatment and lifestyle instructions alone are not adequate to uphold appropriate self-care behavior [50, 51].

Strengths and limitations

The current review is extensive, examining the effect of CI on a spectrum of mild-severe, covering literature published from 2000 to March − 2016. We were limited to peer reviewed literature published solely in the English language. Ten of the 14 studies appraised were cross-sectional studies, however, prospective studies may more accurately explore the causal nature between CI and self-care among patients with HF.

A stronger relationship between cognition and self-care may not have been observed due to the use of certain cognitive testing tools which are insensitive to higher order functions. If clinicians choose to screen for dementia with the MMSE, they may possibly fail to detect mild impairments in higher functioning. In the clinical setting and indeed for future research this issue may be circumvented by utilizing ‘executively focused’ neuropsychological batteries in addition to more commonly used screening test tools [52]. Future studies may consider a meta-analysis design to gain power to further elucidate a relationship between CI and self-care.

A major limitation of the studies reviewed is that assessment of adherence to lifestyle recommendations and answers to the SCHFI were self-reported. Okonkwo and colleagues [53] identified that patients with memory impairments, a domain commonly impaired in HF, tend to over estimate their abilities in completing daily living tasks, which is relevant for two studies which reported adherence to treatment regimens or lifestyle recommendations [19, 21].

Studies with inclusion criteria of EF < 45% are better in terms of selecting moderate to severe systolic dysfunction. The others that had a wide range of ejection fraction (including mild and low normal ejection fraction) could have a diluted effect of severity – as it would not be expected that patients with an ejection fraction of 50% (low normal) would have similar self-management issues or similar re-admission rates for decompensations as those with ejection fraction 30%.

A lack of studies exploring the impairment of specific cognitive domains or dementia subtypes (e.g. vascular, frontotemporal etc) and their involvement in all aspects of self-management makes it difficult to definitively identify the most effective recommendations to manage CI persons with HF.

Implications for health policy

Persons with CI and HF require more resources and support in the community to carry out self-care tasks compared to their non-CI counterparts. Primary care and community services should be re-designed to evaluate and cater to individual’s self-care needs. The relationship between CI and self-care ability in HF is quite prominent, however, effectiveness of programs to assist those with CI and their carers needs to be further elucidated. Programs may have differential benefits based on cognition, support and demographic factors so these need to be further characterized to improve management and outcomes for these persons in the community. Table 4 outlines advice generated for clinical use.

Table 4 Advice for Clinical Management of Patients with Heart Failure and Cognitive Impairment


The aforementioned findings may be applied widely at the patient level as demographic characteristics of subjects were largely similar where impairments in cognitive domains were not based on geography or ethnicity. The present review includes articles spanning twelve years (2005–2016), therefore assessment and interpretations of CI, as well as the diagnostic criteria for dementia/CI may have varied across time.


Managing persons with HF and CI is particularly difficult. Decrements in cognitive domains adversely impacts self care abilities of these individuals, ultimately leading to poor outcomes. Clinicians need to be aware of the differential impacts of impairments in cognitive domains and tailor their management accordingly. Regular screening tests for higher order functions along with those for global cognitive function in the older patients with HF are necessary if optimum self-care is to be supported. Awareness of other factors such as depression, self-confidence and access to supports may also modulate self-care ability. A holistic, multifactorial approach is required to improve outcomes in this particularly vulnerable population with HF and CI.



Activities of daily living


Cognitive impairment


Digit symbol substitution test


European heart failure self-care behaviour scale


Heart failure


Independent activities of daily living


Kansas City cardiomyopathy questionnaire


Korean version mini mental state examination


Left ventricular ejection fraction


Mini mental state examination


Montreal cognitive assessment


New York heart association


Self Care of Heart Failure Index


St. Louis University mental status exam


  1. 1.

    Jessup M, Abraham W, Casey D, Casey DE, Feldman AM, Francis GS, et al. Focused update: ACCF/AHA guidelines for the diagnosis and management of heart failure in adults: a report of the American College of Cardiology Foundation/American Heart Association task force on practice guidelines. Circulation. 2009;119(14):1977–2016.

    PubMed  Article  Google Scholar 

  2. 2.

    Mozzafarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics—2016 update: a report from the American Heart Association. Circulation. 2016;133:e38–e360.

    Google Scholar 

  3. 3.

    McMurray JJ, Adamopoulos S, Anker SD, Auricchio A, Bohm M, Dickstein K, et al. ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: the task force for the diagnosis and treatment of acute and chronic heart failure 2012 of the european society of cardiology. Eur Heart J. 2012;33(14):1787–847.

    PubMed  Article  Google Scholar 

  4. 4.

    Heidenreich PA, Albert NM, Allen LA, Bluemke DA, Butler J, Fonarow GC, et al. Forecasting the impact of heart failure in the United States: a policy statement from the american heart association. Circ Heart Fail. 2013;6(3):606–19.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  5. 5.

    Alzheimer’s Disease International [Internet]. United Kingdom: The global voice on dementia; c2016 [cited 2016 Dec 22]. Available from:

  6. 6.

    Currie K, Rideout A, Lindsay G, Harkness K. The association between mild cognitive impairment and self-care in adults with chronic heart failure. J Cardiovasc Nurs. 2015;30(5):382–93.

    PubMed  Article  Google Scholar 

  7. 7.

    White MF, Kirschner J, Hamilton MA. Self-care guide for the heart failure patient. Circulation. 2014;129(3):e293–4.

    PubMed  Article  Google Scholar 

  8. 8.

    Cameron J, Rendell PG, Ski CF, Kure CE, McLennan SN, Rose NS, et al. PROspective MEmory training to improve HEart failUre self-care (PROMETHEUS): study protocol for a randomised controlled trial. Trials. 2015;16(196):196.

    PubMed  PubMed Central  Article  Google Scholar 

  9. 9.

    Dickson VVD, Deatrick JA, Riegal B. A typology of heart failure self-care management in non-elders. Eur J Cardiovasc Nurs. 2008;7(3):171–81.

    PubMed  Article  Google Scholar 

  10. 10.

    Alves TC, Rays J, Fraguas R, Wajngarten M, Meneghetti JC, Prando S, et al. Localized cerebral blood flow reductions in patients with heart failure: a study using 99mTc-HMPAO SPECT. J Neuroimaging. 2005;15(2):150–6.

    PubMed  Google Scholar 

  11. 11.

    Jovicic A, Holroyd-Leduc JM, Straus SE. Effects of self-management intervention on health outcomes of patients with heart failure: a systematic review of randomized controlled trials. BMC Cardiovasc Disord. 2006;6:43.

    PubMed  PubMed Central  Article  Google Scholar 

  12. 12.

    Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1.

    PubMed  PubMed Central  Article  Google Scholar 

  13. 13.

    DSM American Psychiatric Association. Neurocognitive disorder, diagnostic and statistical manual of mental disorders. 5th ed. Washington DC: American Psychiatric Publishing; 2013.

    Book  Google Scholar 

  14. 14.

    Lorig KR, Holman H. Self-management education: history, definition, outcomes and mechanisms. Ann behave Med. 2003;26(1):1–7.

    Article  Google Scholar 

  15. 15.

    Riegel B. Self care of heart failure index V6.2 English [Internet]. Philadelphia: Biobehavioural Research Center, School of Nursing, Claire M. Fagin Hall; c2016 [cited 2016 Dec 12]. Available from:

  16. 16.

    Karlsson MR, Edner M, Henriksson P, Mejhert M, Persson H, Grut M, et al. A nurse-based management program in heart failure patients affects females and persons with cognitive dysfunction most. Patient Educ Couns. 2005;58(2):146–53.

    PubMed  Article  Google Scholar 

  17. 17.

    Smeulders ES, Van Haastregt JC, Ambergen T, Stoffers HE, Janssen-Boyne JJ, Uszko-Lencer NH. Heart failure patients with a lower educational level and better cognitive status benefit most from a self-management group programme. Patient Educ Couns. 2010;81(2):214–21.

    PubMed  Article  Google Scholar 

  18. 18.

    Habota T, McLennan SN, Cameron J, Henry JD, Ski CF, Thompson DR, et al. Prospective memory impairment in chronic heart failure. J Int Neuropsychol Soc. 2015;21(3):183–92.

    PubMed  Article  Google Scholar 

  19. 19.

    Alosco ML, Spitznagel MB, Van Dulmen M, Raz N, Cohen R, Sweet LH, et al. Cognitive function and treatment adherence in older adults with heart failure. Psychosom Med. 2012;74(9):965–73.

    PubMed  PubMed Central  Article  Google Scholar 

  20. 20.

    Hawkins LA, Kilian S, Firek A, Kashner TM, Firek CJ, Silvet H, et al. Cognitive impairment and medication adherence in outpatients with heart failure. Heart Lung. 2012;41(6):572–82.

    PubMed  Article  Google Scholar 

  21. 21.

    Alosco ML, Spitznagel MB, Cohen R, Sweet LH, Colbert LH, Josephson R, et al. Cognitive impairment is independently associated with reduced instrumental activities of daily living in persons with heart failure. J Cardiovasc Nurs. 2012;27(1):44–50.

    PubMed  PubMed Central  Article  Google Scholar 

  22. 22.

    Alosco ML, Spitznagel MB, Raz N, Cohen R, Sweet LH, Colbert LH, et al. Executive dysfunction is independently associated with reduced functional independence in heart failure. J Clin Nurs. 2014;23(5–6):829–36.

    PubMed  Article  Google Scholar 

  23. 23.

    Hajduk AM, Lemon SC, McManus DD, Lessard DM, Gurwitz JH, Spencer FA, et al. Cognitive impairment and self-care in heart failure. Clin Epidemiol. 2013;5(1):407–16.

    PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    Hjelm CM, Brostrom A, Riegel B, Arestedt K, Stromber A. The association between cognitive function and self-care in patients with chronic heart failure. Heart Lung. 2015;44(2):113–9.

    PubMed  Article  Google Scholar 

  25. 25.

    Cameron J, Worrall-Carter L, Riegel B, Lo SK, Stewart S. Testing a model of patient characteristics, psychologic status, and cognitive function as predictors of self-care in persons with chronic heart failure. Heart Lung. 2009;38(5):410–8.

    PubMed  Article  Google Scholar 

  26. 26.

    Cameron J, Worrall-Carter L, Page K, Riegel B, Lo SK, Stewart S. Does cognitive impairment predict poor self-care in patients with heart failure? Eur J Heart Fail. 2010;12(5):508–15.

    PubMed  Article  Google Scholar 

  27. 27.

    Davis KK, Himmelfarb CR, Szanton SL, Hayat MJ, Allen JK. Predictors of heart failure self-care in patients who screened positive for mild cognitive impairment. J Cardiovasc Nurs. 2015;30(2):152–60.

    PubMed  Article  Google Scholar 

  28. 28.

    Davis KK, Mintzer M, Dinnison Himmelfarb CR, Hayat MJ, Rotman S, Allen J. Targeted intervention improves knowledge but not self-care or readmissions in heart failure patients with mild cognitive impairment. Eur J Heart Fail. 2012;14(9):1041–9.

    PubMed  Article  Google Scholar 

  29. 29.

    Harkness KH, Heckman GA, Akhtar-Danesh N, Demers C, Gunn E, McKelvie RS. Cognitive function and self-care management in older patients with heart failure. Eur J Cardiovasc Nurs. 2014;13(3):277–84.

    PubMed  Article  Google Scholar 

  30. 30.

    Kim JS, Hwang SY, Shim JL, Jeong MH. Cognitive function and self-care in patients with chronic heart failure. Korean Circ J. 2015;45(4):310–6.

    PubMed  PubMed Central  Article  Google Scholar 

  31. 31.

    Lee CS, Gelow JM, Bidwell JT, Mudd J, Green JK, Jurgens CY, et al. Blunted responses to heart failure symptoms in adults with mild cognitive dysfunction. J Cardiovasc Nurs. 2013;28(6):534–40.

    PubMed  Article  Google Scholar 

  32. 32.

    Vellone EF, Fida R, D'Agostino F, Mottola A, Juarez-Vela R, Alvaro R, et al. Self-care confidence may be the key: a cross-sectional study on the association between cognition and self-care behaviors in adults with heart failure. Int J Nurs Stud. 2015;52(11):1705–13.

    PubMed  Article  Google Scholar 

  33. 33.

    Habota T, Cameron J, McLennan SN, Ski CF, Thompson DR, Rendell PG. Prospective memory and chronic heart failure. BMC Cardiovasc Disord. 2013;13(63).

  34. 34.

    Swendeman D, Ingram BL, Rotheram-Borus MJ. Common elements in self-management of HIV and other chronic illnesses: an integrative framework. AIDS Care. 2009;21(10):1321–34.

    PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    Cramm J, Hartgerink JM, Steyerberg E, Bakker TJ, Mackenbach JP, Nieboer AP. Understanding older patients’ self-management abilities: functional loss, self- management, and wellbeing. Qual Life Res. 2013;22(1):85–92.

    CAS  PubMed  Article  Google Scholar 

  36. 36.

    Aggarwal B, Liao M, Allegrante JP, Mosca L. Low social support level is associated with non-adherence to diet at 1 year in the family intervention trial for heart health (FIT heart). J Nutr Educ Behav. 2010;42(6):380–8.

    PubMed  PubMed Central  Article  Google Scholar 

  37. 37.

    Hicks FD, Holm K. Self-management decision influences in heart failure. Clin Nurs Res. 2003;12(1):69–84.

    PubMed  Article  Google Scholar 

  38. 38.

    Dal Negro RW, Bonadiman L, Bricolo FP, Tognella S, Turco P. Cognitive dysfunction in severe chronic obstructive pulmonary disease (COPD) with or without long-term oxygen therapy (LTOT). Multidiscip Respir Med. 2015;10(1):17.

    PubMed  PubMed Central  Article  Google Scholar 

  39. 39.

    Alosco ML, Spitznagel MB, Josephson R, Hughes J, Gunstad J. COPD is associated with cognitive dysfunction and poor physical fitness in heart failure. Heart Lung. 2015;44(1):21–6.

    PubMed  Article  Google Scholar 

  40. 40.

    Thornton WL, Shapiro RJ, Deria S, Gelb S, Hill A. Differential impact of age on verbal memory and executive functioning in chronic kidney disease. J Int Neuropsychol Soc. 2007;13(2):344–53.

    PubMed  Article  Google Scholar 

  41. 41.

    Riley PL, Arslanian-Engoren C. Cognitive dysfunction and self-care decision making in chronic heart failure: a review of the literature. Eur J Cardiovasc Nurs. 2013;12(6):505–11.

    PubMed  Article  Google Scholar 

  42. 42.

    Stilley CS, Bender CM, Dunbar-Jacob J, Sereika S, Ryan CM. The impact of cognitive function on medication management: three studies. Health Psychol. 2010;29(1):50–5.

    PubMed  PubMed Central  Article  Google Scholar 

  43. 43.

    Lezak MD, Howieson DB, Bigler ED, Tranel D. Neuropsychological assessment. 5th ed. New York: Oxford University Press; 1995.

    Google Scholar 

  44. 44.

    Dickson VV, Tkacs N, Riegel B. Cognitive influences on self-care decision making in persons with heart failure. Am Heart J. 2007;154(3):424–31.

    PubMed  Article  Google Scholar 

  45. 45.

    Pressler SJ, Kim J, Riley P, Ronis DL, Gradus-Pizlo I. Memory dysfunction, psychomotor slowing, and decreased executive function predict mortality in patients with heart failure and low ejection fraction. J Card Fail. 2010;16(9):750–60.

    PubMed  PubMed Central  Article  Google Scholar 

  46. 46.

    Reeder KM, Ercole PM, Peek GM, Smith CE. Symptom perceptions and self-care behaviors in patients who self-manage heart failure. J Cardiovasc Nurs. 2015;30(1):E1–7.

    PubMed  PubMed Central  Article  Google Scholar 

  47. 47.

    Connelly CE. An empirical study of a model of self-care in chronic illness. Clin Nurse Spec. 1993;7(5):247–53.

    CAS  PubMed  Article  Google Scholar 

  48. 48.

    Butters MA, Whyte EM, Nebes RD, Begley AE, Dew MA, Mulsant BH, et al. The nature and determinants of neuropsychological functioning in late-life depression. Arch Gen Psychiatry. 2004;61(6):587–95.

    PubMed  Article  Google Scholar 

  49. 49.

    Cacciatore F, Abete P, Ferrara N, Calabrese C, Napoli C, Maggi S, et al. Congestive heart failure and cognitive impairment in an older population. Osservatorio geriatrico campano study group. J Am Geriatr Soc. 1998;46(11):1343–8.

    CAS  PubMed  Article  Google Scholar 

  50. 50.

    Evangelista L, Doering LV, Dracup K, Westlake C, Hamilton M, Fonarow GC. Compliance behaviors of elderly patients with advanced heart failure. J Cardiovasc Nurs. 2003;18(3):197–206.

    PubMed  Article  Google Scholar 

  51. 51.

    Ni H, Nauman D, Burgess D, Wise K, Crispell K, Hershberger RE. Factors influencing knowledge of and adherence to self-care among patients with heart failure. Arch Intern Med. 1999;159(14):1613–9.

    CAS  PubMed  Article  Google Scholar 

  52. 52.

    Nakata E, Kasai M, Kasuya M, Akanuma K, Meguro M, Ishii H, et al. Combined memory and executive function tests can screen mild cognitive impairment and converters to dementia in a community: the osaki-tajiri project. Neuroepidemiology. 2009;33(2):103–10.

    PubMed  Article  Google Scholar 

  53. 53.

    Okonkwo OC, Wadley VG, Griffith HR, Griffith HR, Belue K, Lanza S, et al. Awareness of deficits in financial abilities in patients with mild cognitive impairment: going beyond self-informant discrepancy. Am J Geriatr Psychiatry. 2008;16(8):650–9.

    PubMed  PubMed Central  Article  Google Scholar 

  54. 54.

    Philbin EF, Dec GW, Jenkins PL, DiSalvo TG. Socioeconomic status as an independent risk factor for hospital readmission for heart failure. Am J Cardiol. 2001;87(12):1367–71.

    CAS  PubMed  Article  Google Scholar 

  55. 55.

    Rathore SS, Masoudi FA, Wang Y, Curtis JP, Foody JM, Havranek EP, et al. Socioeconomic status, treatment, and outcomes among elderly patients hospitalized with heart failure: findings from the national heart failure project. Am Heart J. 2006;152(2):371–8.

    PubMed  PubMed Central  Article  Google Scholar 

  56. 56.

    Sui X, Gheorghiade M, Zannad F, Young JB, Ahmed A. A propensity matched study of the association of education and outcomes in chronic heart failure. Int J Cardiol. 2008;129(1):93–9.

    PubMed  Article  Google Scholar 

  57. 57.

    Fenter PC. Understanding the role of practice in learning for geriatric individuals. Top Geriatr Rehabil. 2002;17(4):11–32.

    Article  Google Scholar 

  58. 58.

    Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, et al. Updating and validating the charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. 2011;173(6):676–82.

    PubMed  Article  Google Scholar 

  59. 59.

    Hirdes JP, Frijters DH, Teare GF. The MDS-CHESS scale: a new measure to predict mortality in institutionalized older people. J Am Geriatr Soc. 2003;51(1):96–100.

    PubMed  Article  Google Scholar 

  60. 60.

    Haas LR, Takahashi PY, Shah ND, Stroebel RJ, Bernard ME, Finnie DM, et al. Risk-stratification methods for identifying patients for care coordination. Am J Manag Care. 2013;19(9):725–32.

    PubMed  Google Scholar 

Download references


Not applicable.


Internal departmental funds. The funding body had no influence on design of the study, data collection, analysis, interpretation of data and in writing of the manuscript.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and its supplementary information files.

Author information




All authors listed have contributed sufficiently to the project to be included as authors as outlined by the International Committee of Medical Journal Editors and all those who are qualified as authors are listed in the author byline. Specific contributions from individual authors: JL (Lead Author): Development of concept and design of the work, acquisition of the work, analysis, interpretation of data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published, agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. TP: Analysis, interpretation of data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published, agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. SN: Analysis, interpretation of data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published, agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. MD: Analysis, interpretation of data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published, agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. MJ: Analysis, interpretation of data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published, agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. JEI: Development of concept and design of the work, acquisition of the work, analysis, interpretation of data, drafting the work and revising it critically for important intellectual content, final approval of the version to be published, agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Janaka Lovell.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

Janaka Lovell, Tony Pham, Samer Noaman, Marie-Claire Davis, Marilyn Johnson and Joseph Ibrahim have no potential financial, corporate, commercial or personal interests that may constitute a source of bias.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Table S1. DSM V Criteria for Diagnosing Major & Minor Neurocognitive Disorder (NCD)*. Table S2. Search terms used for literature search. Table S3. Conversion of scales reporting severity of comorbid conditions [58,59,60]. Figure S1. PRISMA flow diagram of identification, screening, and inclusion of eligible articles. (DOCX 49 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Lovell, J., Pham, T., Noaman, S.Q. et al. Self-management of heart failure in dementia and cognitive impairment: a systematic review. BMC Cardiovasc Disord 19, 99 (2019).

Download citation


  • Aging
  • Self care
  • Heart failure
  • Dementia
  • Cognitive impairment
  • Cognitive domains