Abstract
Keywords
INTRODUCTION
With aging populations, dementia increasingly represents a challenge for public health and health care systems worldwide [1]. Globally, around 50 million people have dementia, and there are nearly 10 million new cases every year [2]. According to findings from the
Person-centered care (PCC), a prominent concept in dementia care, has been suggested synonymous with good quality care [6]. Many countries include a PCC-approach in their national guidelines and dementia plans [7–13]. The concept is covered by a multiplicity of terms in the literature, dependent on the context in which care is provided. It challenges the traditional clinician-centered or disease-focused medical model to a model of care, which is customized to each person [14]. Some argue, PCC’s origins trace back to Florence Nightingale, “who differentiated nursing from medicine by its focus on the patient rather than the disease” (p. 246) [15]. Carl Rogers’ work on client centered psychotherapy noted “person-centeredness” in the early 1940s [16]. Until Tom Kitwood in 1988 noted PCC-approaches in dementia care [17], the term had not been used in the dementia care field [18]. Often, Kitwood is described as the founder of the concept of person-centered dementia care [19], developed in response to the reductionist regarded biomedical view of dementia, which downgrades the person to a carrier of a chronic disease and hereby ignores personal experiences, well-being, dignity, and worth [20, 21]. Despite the prominence and frequent use of PCC, some have noted the missing consensus or explicit agreement on its definition, the complexity of the concept, and a related need for more clarification [22–24]. Some have questioned, whether PCC is achievable [25], while others pointed out that PCC indirectly emphasizes autonomy and independence rather than the importance of relationships [26], even though Kitwood noted relationships as essential to understand dementia [19]. Relationship-centered care (RCC) may be seen as the next development of PCC, which pays more attention to the reciprocity of care between the care recipient and the caregiver (CG), by some [27, 28].
What PCC means in in clinical practice has been described broadly; it includes the incorporation of personal knowledge of the PlwD, to conduct meaningful activities, to make well-being a priority, and to improve the quality of relationships between the health care professional and the PlwD [18, 29]. Based on a non-pharmacological and sociopsychological treatment approach, PCC recognizes the need to personalize and tailor care to the recipient’s needs and preferences to guide care provision [30, 31]. Previous PCC-literature has focused on its theory and theoretical frameworks [18, 32–35], qualitative studies about the understanding of PCC [29, 37], and tools to measure PCC [38–42]. Earlier published reviews of PCC for PlwD showed beneficial effects to manage challenging behaviors (such as agitation), reduce the use of antipsychotic drugs, neuropsychiatric symptoms, depression, and to improve QoL, as well as to improve healthcare professionals’ quality of work-life [43–47].
However, to the best of our knowledge, no previous review has tried to identify key intervention categories to guide the provision of person-centered dementia care, including who does what, where, and how, from the published literature. Hence, the following research questions arose: What are the characteristics of published PCC-interventional studies for PlwD? How can the interventions described in PCC-interventional studies for PlwD be synthesized into categories to guide the provision of person-centered dementia care? What a) content, b) provider, c) format, d) setting, e) intensity, and f) fidelity describe key intervention categories to provide person-centered dementia care?
METHODS
For the identification of key intervention categories, we performed a systematic review of PC-interventions for PlwD. The review was guided by the established guidelines in the
Protocol and registration
A protocol for the review was registered with PROSPERO (Reference/ID No: CRD42021225084). We strictly followed this protocol for the systematic review process. For the report of our findings, we have adjusted some terminology for clarity and refocused the discussion and application of results to make the review suitable for a broader audience.
Study eligibility criteria
The definition of eligibility criteria for this systematic review was based on the PICOS (Population, Intervention, Comparison, Outcome, Study Design) format of study design questions [50]. Records were included/excluded if they met the criteria as depicted in Table 1.
Inclusion/exclusion criteria
Information sources and search strategy
The three dimensions, 1) Dementia, 2) Person-Centered Care, and 3) Intervention, were used for the development of the search strategy. The keywords used (see Supplementary Material 2 for complete search string) included Dementia (MeSH), Alzheimer’s Disease, Patient-Centered Care (MeSH), Person-Centered Care, Relationship-Centered Care, and all possible synonyms to this concept as identified via the MeSH-database [51] and previous literature, e.g., [38, 53], in U.S.- and U.K.-English spelling, as well as Therapy (MeSH), intervention, and treatment, focused on those of non-pharmacological and psychosocial nature. The search was piloted prior to the development of the protocol. Time period restriction was not applied, language was limited to English and German. The databases searched included PubMed, Web of Science, and Embase, following recommendations from Bramer et al. [54] for optimal database combinations in literature searches. The last search was conducted on November 5, 2020.
Study selection
De-duplication of identified records followed the systematic approach by Bramer et al. [55]. The first stage of study selection entailed the screening of titles and abstracts, performed by two reviewers (WM and AA). The screening process included to compare information presented in the title and abstract with the pre-defined in- and exclusion criteria. Eventual discrepancies were resolved by discussion between reviewers (WM and AA) until consensus was reached, and where this was not possible, a third researcher (AR, BM, FM, or MP) was consulted. All records where titles and abstracts were considered to conform with the eligibility criteria were included for full-text screening. The second stage of data selection, full-text review, performed by two reviewers (WM and AA), followed the aforementioned strategy. Both stages of the screening process were performed in the online software Rayyan [56]. Per PC-interventional study, only one published record in accordance with eligibility criteria was included.
Data extraction
The following information was collected: author, country, setting, sample size, age in years of the target group, intervention, control group, duration/follow-up, dementia severity based on stated scores and/or stages, outcome measures, and study design. To organize the evidence data were entered into an “Effects Table”, a qualitative tool to display a concise summary of the included studies’ interventions and outcomes/effects.
Risk of bias assessment
Two reviewers (WM and AA) examined the risk of bias for all included studies by application of two validated analysis tools: 1) the Cochrane Collaboration’s Risk of Bias tool 2 (RoB2) [57] for randomized controlled trials (RCTs) and 2) the Newcastle-Ottawa Scale (NOS) [58] for cohort-studies to assess the quality of the non-randomized controlled studies (NRS). Where discrepancies arose, a third researcher (AR, BM, MR, WH) was involved in the discussion.
Data synthesis
A concise narrative summary was undertaken to identify key intervention categories. PC-interventions were analyzed for the distinct activities performed under their scheme, and respectively synthesized and categorized into named intervention categories with shared characteristics oriented in Dickson et al. [59], and Clarkson et al. [60]. The synthetization and categorization covered information about a) content (individual PC-interventions), b) provider(s), c) format, d) setting, e) intensity, and f) fidelity [61] for the distinct intervention categories.
RESULTS
Study selection
The searches identified a total of 1,806 records. After removal of duplicates, 1,162 records were identified for title/abstract-screening, out of which 41 records underwent full-text review. The majority of records were excluded because of ineligible populations or study designs. The selection process is depicted in Fig. 1.

Study flow diagram. Note: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009) Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement.
Following the screening of the full texts of selected records, 19 interventional studies were identified. 14 studies of those applied a RCT-design [62–75], and one study further used a quasi-experimental pre- and post-test design including randomization [76]. The remaining four [77–80] applied NRS-designs, including one cohort [78] and three non-randomized quasi-experimental, prospective, longitudinal studies [77, 80].
Characteristics of included studies
The summary of characteristics for the 19 included studies is depicted in Table 2. The summative Table 2 covers the information extracted and organized in the aforementioned Effects Table in a comprehensive display.
The majority of studies were conducted in high-income countries in Northern-America and Europe (USA [65, 75], UK [62, 67], Australia [63, 74], Canada [66], the Netherlands [73, 79], Belgium [72], Norway [69, 71], Spain [80]) and in Asia (Singapore [78]). 18 studies were conducted in long-term care facilities without further specification on the operational model of the respective institutions (for profit or not for profit), one study was conducted at a hospital [78]. No studies were conducted in homecare / primary care settings. Sample sizes varied between 52 to 847. The majority of participants in the studies were, on average, above 80 years of age. The studies covered a wide range of interventions, oftentimes delivered as multi-component interventions [62–65, 77–79]. Eight studies concretely stated an assessment of preferences or needs prior to the intervention [63–66, 75–77], among which three [72, 76] assessed preferences or needs by direct involvement of the PlwD, while the remaining relied on information from care plans and/or informal and professional CGs. Others mentioned the necessity to adjust the intervention to the PlwD’s preferences and needs, but did not report concrete assessments of the latter [68–71, 78]. Three studies [65, 74] used placebo interventions, while the remaining provided usual care in the control group. The duration of the studies ranged from two weeks [65] up to 18 months [76]. Dementia severity varied, with many participants at moderate to severe stage. Seven studies found a significant positive effect on QoL [62, 80], nine studies found a significant positive effect on agitation [62–65, 78]. A comprehensive list of outcome measures including the respective measurement tools and an indication of effectiveness is depicted in the right column of Table 2.
Narrative summary of characteristics for included studies
Abbreviations: ABMI, agitation behavior mapping instrument, ADRQL-R, Alzheimer’s Disease-related Quality of Life-Revised, APS, Abbey Pain Scale, BARS, Brief Agitation Rating Scale, BEHAVE-AD: Clinical Rating Scale for the Assessment of Pharmacologically Remediable Behavioral Symptomatology in Alzheimer’s Disease, BIP7, Dutch Behavior Observation Scale for Psychogeriatric In-patients Version 7, CANE, Camberwell Assessment of Need for the Elderly, CAU, Care as usual, CAMIE, Care for Acute Mentally Infirm Elders, CAREBA, Care Recipient Behavior Assessment, CDR, clinical dementia rating, CMAI, Cohen-Mansfield’s agitation inventory, CPS, Cognitive Performance Scale, CSDD, Cornell Scale for Depression in Dementia, DCM, Dementia Care Mapping, DemQOL, dementia quality of life, DSM-IIIR, Diagnostic and Statistical Manual of Mental Disorders, DVD, digital video disk, EQ-5D, European Quality of Life 5 Dimensions, ERIC, Emotional Response in Care, FAB, Frontal Assessment Battery, FACE, Face expression scale, FAST, functional assessment staging of Alzheimer’s disease, FU, Follow-up, GDS, Geriatric Depression Scale, GENCAT, Government of Catalonia Scale for Assessment of Residents’ QoL, ICP, Individualized care planning, INTERACT, Mood and Behavior of persons with dementia, ISE, Index of Social Engagement, MBI, Modified Barthel Index, MDRS, Mattis Dementia Rating Scale, MDS, minimum data set, MMSE, mini mental state exam, MOSES, Multidimensional Observation Scale for Elderly Subjects, MPES, Menorah Park Engagement Scale, NPI, Neuropsychiatric Inventory, NPI-NH, Neuropsychiatric Inventory–Nursing Home, NPI-Q, Neuropsychiatric Inventory Questionnaire, NPS, Neuropsychiatric Symptoms, NRS, Non-Randomized Studies, PAS, Pittsburgh Agitation Scale, PCC, Person-Centered Care, PCE, Person-Centered Environment, PGCARS, Philadelphia Geriatric Center Affect Rating Scale, PSMS, Physical Self-maintenance Scale, QoL, Quality of Life, QUALID, quality of life in late-stage dementia, QUALIDEM, Quality of Life of people with Dementia, QUIS, questionnaire for user interaction satisfaction, RAI-MDS, Resident Assessment Instrument –Minimum Data Set, RCT, Randomized Controlled Trial, RIAS, Roter Interaction Analysis System, SD, Standard Deviation, SSLF, Small-scale living facilities, TAU, Treatment as usual, TREA, Treatment Routes for Exploring Agitation, UC, Usual Care, UE, Usual environment, VIPS Framework, valuing people with dementia (V), individualized care (I), understanding the world from the patient’s perspective (P) and providing a social environment that supports the needs of the patient (S), VPM, VIPS Practice Model, WHELD, Improving Wellbeing and Health for People Living with Dementia.
*Median (range).
**Median (IQR).
***The underlined scores indicate the most favorable score (least impairment) for the scale.
****Mean (range).
aNote: van Weert et al. (2005) applied a quasi-experimental pre- and post-test design, including randomization, hence this study was assessed with RoB2 for risk of bias and is for consistency portrayed in the RCT-category of this table.
bSignificant effects are marked in bold.
cAt follow-up, there were fewer falls with DCM than with usual care (
dThose in PCC + PCE had non-significant changes.
eThe percentage of positive emotional responses to care (ERIC) improved significantly over time for the PCC + PCE group (by 7%on average,
fSignificant for VPM.
gSignificant for DCM. hMore negative verbal behaviors by AC- compared to UC or IPPI-groups. AC-group showed more positive behaviors than IPPI; AC- and IPPI-groups showed more positive behaviors than UC-group. The IPPI-group showed significantly more very positive responses than either UC- or AC-groups. Nonverbal responses were significantly higher for the UC-group compared to AC- and IPPI-groups.
Quality of the included studies
Following the risk of bias assessment with RoB2 [57] for randomized study designs and with NOS [58] for non-randomized study designs, the overall quality of the included studies varied between low to moderate. The results of potential bias assessment in each study are reported in Table 3 for the randomized study designs and Table 4 for the non-randomized study designs.
Assessment of risk of bias for included RCTs
Note: Low risk of bias (o), moderate risk of bias (v), high risk of bias (x). Abbreviations: RCTs, randomized controlled trials.
*van Weert et al. (2005) applied a quasi-experimental pre- and post-test design including randomization, hence this study was analyzed with Rob2 for risk of bias of included RCTs.
Assessment of risk of bias for included NRS
aProspective, longitudinal quasi-experimental trials, assessed as cohort by proxy, bProspective naturalistic cohort study. Note: A study can be awarded a maximum of one star for each numbered item within the Selection (4 stars) and Outcome (3 stars) categories. A maximum of two stars can be given for Comparability. Maximum no. of stars in total is nine.
Among the randomized studies, 11 studies [62, 72–76] had a low risk of bias with concern to the randomization process, and four studies had a moderate risk of bias [64, 71]. There was a moderate to high risk of bias for several studies due to deviations from intended interventions [68, 76] or missing outcome data [65, 76]. Due to the nature of the study populations, a substantial loss of study participants by decease occurred in the majority of studies, however in three [66, 75] no major loss to follow-up occurred. In general, the authors acknowledged the missing data and reported the reasons. However, none of the studies with moderate to high risk of bias due to missing outcome data [65, 76] reported sufficient evidence to judge whether or not their result was biased by missing outcome data, i.e., analysis methods that correct for bias and/or sensitivity analyses. For some studies [65, 75] there were some concerns for risk of bias with regard to the measurement of the outcomes, mostly because blinding of outcome assessors could not be assured. All randomized studies had a low risk of bias in selection of the reported results, i.e., authors were consistent and transparent in the report of their study results.
Among the included NRS, all four studies [77–80] had a low risk of bias associated with the selection process of the exposed and non-exposed cohorts/the experimental and control group. Two studies [78, 79] had a low risk of bias concerning the comparability of cohorts/groups, based on the analysis, while the two other studies [77, 80] had a high risk of bias due to missing information about controlling analyses for confounders and/or covariates. With regards to the outcome assessment (including length and adequacy of follow-up), for two studies [77, 78] there was a low risk of bias, whilst two other studies [79, 80] had some concerns for risk of bias due to self-reported assessments of outcome.
Synthesis
A summary of key intervention categories, including content (interventions), provider, format, setting, intensity, and fidelity is depicted in Table 5. A total of nine key intervention categories to guide the provision of Person-Centered Dementia Care was identified from synthesis and categorization: 1) social contact, 2) physical activities, 3) cognitive training, including arts/creative activities, 4) sensory enhancement, 5) daily living assistance, 6) life history oriented emotional support, 7) training and support for professional CGs, 8) environmental adjustments, and 9) care organization. The categories including a short description oriented in Dickson et al. [59] and Clarkson et al. [60] are depicted in column one in Table 5.
Narrative summary of synthesis: intervention categories including descriptions
Abbreviations: CNAs, Certified Nurse Aides; DCM, Dementia Care Mapping; VIPS Framework, valuing people with dementia (V), individualized care (I), understanding the world from the patient’s perspective (P) and providing a social environment that supports the needs of the patient (S); VPM, VIPS Practice Model.
*Oriented in Dickson et al. [59] and Clarkson et al. [60].
**As indicated in text, where concrete information about the interventions’ implementation process could not be identified, we report information about problems and/or (methodological) limitations the authors faced.
***As the multi-component intervention studies included several interventions, which allowed for categorization of the study in several categories, some listed provider descriptions are repeated in several columns.
Content
The PC-interventions followed heterogeneous approaches under the concept of PCC and details available with regard to the description of the delivered PC-interventions, i.e., what was delivered to the PlwD, varied, especially for the multi-component interventions [62–65, 77–79]. Some (e.g.,[65]) provided detailed lists of activities included in their multi-component interventions. Others more generally described the provided multi-component interventions as “PCC”, without detailed information about the concrete activities provided to the patients [67, 69] or scarcely described information about activities included [64]. Multi-component interventions with detailed descriptions about each intervention component were respectively assigned to several categories. Some studies limited their intervention-descriptions to the trainings provided to the professional CGs, but did not provide details about which interventions were delivered to the PlwD [64, 69]. Interventional studies conducted under the term RCC aimed at an effect among the PlwD that fit eligibility criteria could not be identified.
Provider
Details about the provider(s) were generally described well throughout all included studies. Interventions were delivered by a range of professional CGs, researchers, volunteers, and family CGs. Professional CGs usually received a specified training, some studies had a particular focus on CG training and support, e.g.,education in antipsychotic drug use and regular supervision by researchers or external experts in PCC [62–64, 76–79]. Some multi-component interventions incorporated, aside from intervention components for the PlwD, education and support for family CGs or otherwise inclusion of the family CGs in care decisions [62, 79].
Format and setting
The format differed according to the respective intervention category, but both individual and group formats were applied. The predominant setting was long-term institutional care, except from one study which was conducted in a hospital [78].
Intensity
There was a substantial variation in the intensity of the delivered interventions and detailed information was not available in all studies. Some studies chose a short overall timeframe of a few weeks [65, 75], others up to 18 months [76]. Table 5 captures the ranges (min. and max.) of different timeframes applied in the studies for each distinctive intervention category, i.e., time of the day, how many minutes/hours per week, how many days per week, how many weeks per month and so on.
Fidelity
Where the included studies contained little information on the delivery process of the interventions, it was challenging to judge their fidelity, i.e., had the intervention always been delivered as intended or had there been challenges to delivery [61]. The term “fidelity” was only mentioned in two studies, [77] and [75]. Where concrete information about the interventions’ delivery process could not be identified, information about problems and/or (methodological) limitations is reported. All studies of longer duration faced problems with a loss to follow-up, due to participants’ decease, which resulted in high non-completion rates. Some reported failure to show a significant effect may reflect difficulties inherent in affecting the culture of care within a nursing home [67], including resistance against the intervention and suspicion about the intrusion of outsiders (i.e., the researchers) among care staff and the management [63, 68]. Some studies reported problems with protocol-adherence [72–75], including provision of the intervention in the control groups [76]. In some studies [66, 71], external factors (e.g.,influenza outbreaks on sites, changes in national laws to restrict use of restraint) were discussed to have influenced the outcome of the intervention.
DISCUSSION
This systematic review identified a total of nine key intervention categories to guide the provision of person-centered dementia care. The categories comprised a wide range PC-interventions, oftentimes delivered as multi-component interventions, which followed heterogeneous approaches under the concept of PCC. Details in description of the interventions, especially the multi-component interventions, varied. Interventional studies conducted under the term RCC aimed at an effect among the PlwD that fit eligibility criteria could not be identified. The predominant setting was long-term institutional care. No studies were undertaken with PlwD at home. The overall quality of the included interventional studies varied between low to moderate.
The key intervention categories were oriented in those named by earlier reviews [59, 60]. However, Clarkson et al. [60] performed a review of systematic reviews about psychosocial interventions, without a particular emphasis on PCC and interventions published under this concept. In our categorization of PC-interventions, “arts/creative activities” were not allocated their own category, even though they constitute an important segment of PC-activities. However, “music” or “to make music” made this allocation challenging, as some may recognize this as part of arts/creative activities in line with Schneider [81], while others may recognize this as “sensory enhancement” in line with Dickson et al. [59] and Clarkson et al. [60]. Respectively to previous research, arts/creative activities were categorized under cognitive training [82, 83] and music under sensory enhancement [59, 60]. The in this study identified and categorized PC-interventions were similar to the psychosocial interventions identified by Dickson et al. [59] and Clarkson et al. [60]. Future research may want to consider a clearer differentiation between psychosocial interventions and PC-interventions. It may be that PCC is a subset of psychosocial interventions, or the opposite, as PCC by some arguably could be conceptualized in clinical interventions as well, cf. ‘personalized medicine’.
The variation in descriptions of the PC-interventions, especially the multi-component interventions, made the judgement and decision about categorization, as well as descriptions of content, provider, format, intensity, and fidelity, challenging. Only a few concretely reported an assessment of preferences and or needs prior to the intervention, among which only three assessed preferences by a direct involvement of the PlwD. Additionally, no study with multi-component interventions provided a detailed description of which exact activity was delivered to whom, by whom, for how long, and aimed at which outcome measure. Thus, it cannot be differentiated which single activity from the multi-component interventions yielded a potentially significant effect. Generally, it may be considered, whether effectiveness of PC-interventions can be determined in a study, where the intervention was implemented for two weeks [65]. However, a recent systematic review and meta-analysis by Kim and Park [47] identified a significant effect to reduce agitation for the two-week-intervention by Cohen-Mansfield et al. [65]. Aside from agitation, Kim and Park [47] found PC-interventions to reduce neuropsychiatric symptoms, and depression, as well as to improve the quality of life. Their review included some of the studies as we included in our review [63–65, 74]. Similar to our review, Kim and Park [47] did not distinguish between multi-component interventions and single-component interventions for their assessment of the effectiveness of PC-interventions. Future work with PC-interventions may want to consider a clearer differentiation between multi-component interventions and single-component interventions, to increase the accuracy in assessment of PC-interventions for key intervention categories, including potential assessments of relative effectiveness. Additionally, future research may want to consider a standardization for the report of PC-interventions in studies and respective research papers. This includes more detailed descriptions on what it is that constitutes “person-centered” in this intervention, such as preferences-/needs-assessments and/or relationship facilitation and here upon provided interventions, to increase comparability and identify a common approach under the concept of PCC. The definition of an appropriate time frame for the provision of PC-interventions to measure their effectiveness might be valuable.
Despite the inclusion of RCC in the search string to account for the aforementioned development of the PCC concept, we could not identify interventional studies conducted under this concept that met our eligibility criteria. The importance of relationships was built into Tom Kitwood’s original formulations, although in PCC concepts built upon the relational aspect are invariant [19, 28]. Current experiences during the ongoing COVID-19 pandemic underline the need to focus more on the relationship between PlwD, their significant others, and providers [84, 85]. Furthermore, it may be interesting to analyze how COVID-19 affects the capacity of care organizations to deliver person-centered dementia care. It may be interesting for future studies to evaluate the relative effectiveness of “person-centered”- including “relationship-centered”-interventions to assess whether an explicit focus on relationships around PCC-interventions yields an added benefit, not just for the receivers of care but also for the providers. A review of lay literature on PCC for PlwD may be valuable.
The predominant setting was long-term institutional care, which is similar to findings by Kim and Park [47]. The operational model (for profit or not for profit) of the long-term care facilities in the included studies could not be identified. Future research may want to examine whether respective institutions have tendencies to implement certain types of PC-interventions. Aside from the operational model of long-term care facilities, an examination of whether a potential culture change movement in long-term care promotes PCC for PlwD would be interesting. Only a few reported on cultural change in the intervention facilities [63, 77], however, with rather negative observations. Future research on PCC in long-term institutional care facilities may want to examine, whether a potential cultural change that promotes the provision of PCC for PlwD nevertheless is underway, e.g.,by a review of qualitative research with both professional and family CGs.
No studies were undertaken with PlwD at home. It is recognized that the concept of PCC has been developed and implemented with a focus on residential homes for the aged [38, 47]. The choice of setting could also be associated with the human and financial resources required to deliver PC-interventions to PlwD at home. Additionally, PC-interventions for PlwD at home might not have been identified by the term “intervention”. For this reason, “home services” instead of “intervention” as third dimension was included during pilot searches, which, however, yielded a scarce number of hits. Kim and Park [47] identified two studies conducted in people’s homes [86, 87], both of which applied the term “intervention”. We did not find a study conducted with PlwD at home and only one PC-intervention study at a hospital. Two recent systematic reviews [88, 89] focused their research on needs of PlwD and registered nurses’ experiences with PCC in the hospital setting. As there is an aim by policy makers to move care delivery to the home [90] and many aged people prefer to receive care at home [91], this setting should find greater consideration in future investigations about PCC and PC-interventions. Aside from the home/primary care setting, future research may want to consider a greater focus on hospital settings with particular focus on assessment of patients’ needs and training for staff.
The overall quality of the included interventional studies varied between low to moderate, similar to findings by Kim and Park [47], who remarked future research should focus on utilization of precise methods for randomization, allocation concealment, and blinding of those who collect the data, to confirm validity of findings in systematic reviews. In this review, most studies had a low risk of bias with regard to the randomization process. However, assessment blinding likewise formed ground for risk of bias in many studies, as did a substantial loss to follow up due to participants’ decease in most studies. Still, the nature of the included populations, i.e., people of very high age, as well as the type of interventions assessed, i.e., psychosocial non-pharmacological interventions, which are known to pose a challenge with regards to blinding of assessors, should be remembered. Hence, in line with previous literature [47], more studies with rigorous designs are recommended to address the aforementioned areas for future research with an evidence base of sufficient high-quality.
Limitations
This review has several limitations. Despite great efforts, including an extensive review of the MeSH-database [51] and previous literature, e.g.,[38, 53] to develop a comprehensive list of terms for PCC and a thoroughly piloted search, we cannot be fully certain to have identified all terms that comprise all PC-interventions for PlwD. PC-interventions for PlwD at home might be covered by the term “community care”, as suggested in [27, 93], which was not included in the search string. However, we included terms such as client-centered, consumer-centered, client-focused, person-focused, client-directed, and consumer-driven care, noted by [38, 53], to identify PCC and PC-interventions for PlwD at home. Furthermore, eligible interventional studies conducted under the concept of RCC might have been covered by terms focused on “family involvement” [94], which was not included in the search string. Future reviews should pay particular attention to the choice of terms to identify interventions conducted under the RCC-concept and in the home care setting, i.e., to apply a broad lens during the development of the search string. Similar to Kim and Park [47], our small sample size of papers that fit into the defined parameters limits the effectiveness to capture the varied interventions that may be available under the concept of PCC. It could be that important ideas and interventions were discarded due to the qualitative nature of research needed to capture the effectiveness of interventions attempted in real life care situations without controlled settings, which is a major limitation of this review focused on published PC-interventional research. Hence, a further review with less strict inclusion parameters including published lay literature might be of value to capture PCC-initiatives outside the published academic literature. Searches could have been performed in further databases to raise sensitivity, however, with the chosen combination of databases, we hope to have identified all relevant records and inclusion of additional databases was not expected to yield additional information. Due to language skills in the team, we only included English and German records, which might have excluded other eventually relevant studies. Even though we applied a thorough protocol and strategy for study selection, data extraction, risk of bias assessment, and synthesis, we cannot rule out potential errors in any of the systematic steps. However, since every step of this systematic review entailed a review by several reviewers, these potential errors were minimized. This study applied the NOS Cohort risk of bias tool non-adapted for the included quasi-experimental studies, which is not ideal. Nevertheless, as the particular studies had prospective and longitudinal designs, we considered this approach acceptable in terms of pragmatism, simplicity in use and due to lack of a better, equally validated tool. No statistician was involved in the risk of bias assessment. However, several reviewers in the team (AR, BM, MR, WH) hold senior level experience with statistical methods, and guided the two main reviewers (WM and AA). The heterogeneity in reporting and application of the PCC-concept in the included interventional studies makes comparisons both within this review and with other reviews such as Kim and Park’s [47] difficult. Still, our detailed approach to identify key intervention categories for better guidance on the provision of person-centered dementia care, including who did what, where, and how, is an attempt to provide an opportunity for better comparison of PC-interventions. Protocols and process-evaluations of the included studies were not checked, as these would not comply with eligibility criteria and per study, only one published record was included. Any deviations from protocol were expected to be mentioned in the published reports on findings. Judgements about the dementia severity and the inclusion criterion, whether a diagnosis by health professionals exists, were challenging as this was rarely reported. Some had a dementia diagnosis as inclusion criterion and reported this [63, 64]. However, with the exception of one study [73], all remaining studies reported on assessed dementia scores with validated tools (see 2nd column from the right in Table 2), which indicated dementia severity. Van de Ven et al. [73] conducted their study at Dementia Special Care Units. Hence, we interpreted the eligibility criterion with regard to dementia severity criterion to be fulfilled. We did not perform a meta-analysis, as an assessment of relative effectiveness only recently has been reported [47]. The quality of a meta-analysis with a wide range of various outcome measures, as included in this review, would have been questionable. Furthermore, this review analyzed the distinct activities performed under the scheme of the PC-interventions, as a result of which the multi-component interventions are listed in several categories. For an assessment of relative effectiveness, the interventions need to be assessed as a whole, cf. [47], which contradicts the strategy of this review. Finally, it may seem at odds with the notion of PCC as a holistic philosophy of care, to refer to discrete interventions and intervention categories of person-centered dementia care. In this regard it may further be questioned, whether PCC is just good care, as suggested by some [6], and accordingly be recognized that good care manifests in different ways in different contexts and hence probably is hard to categorize and standardize. Nevertheless, to offer clearer guidance on the provision of person-centered dementia care, including who does what, where and how, information about key intervention categories of person-centered dementia care needed to be identified, as this review provides the evidence for.
CONCLUSIONS
This systematic review provides a current state overview of published PC-interventional studies in dementia and identified nine key categories to provide person-centered dementia care, including who did what, where and how. the interventions followed heterogeneous approaches under the concept of person-centered dementia care. this heterogeneity made it challenging to identify a similar approach of person-centered dementia care and respective key intervention categories. Future research may want to consider a clearer differentiation between multi-component- and single-component interventions to operationalize the theoretical person-centered dementia care concept under a homogenous approach. Furthermore, attention to an appropriate time frame for the provision of PC-interventions with regard to effectiveness assessments may be considered.
