Literature DB >> 32101308

Systematic Dementia Screening by Multidisciplinary Team Meetings in Nursing Homes for Reducing Emergency Department Transfers: The IDEM Cluster Randomized Clinical Trial.

Yves Rolland1,2,3, Neda Tavassoli1,2, Philipe de Souto Barreto1,3, Amélie Perrin1, Clarisse Laffon de Mazières1, Thomas Rapp4, Sophie Hermabessière1, Elodie Tournay5, Bruno Vellas1,2,3, Sandrine Andrieu1,3,5,6.   

Abstract

Importance: Dementia is often underdiagnosed in nursing homes (NHs). This potentially results in inappropriate care, and high rates of emergency department (ED) transfers in particular. Objective: To assess whether systematic dementia screening of NH residents combined with multidisciplinary team meetings resulted in a lower rate of ED transfer at 12 months compared with usual care. Design, Setting, and Participants: Multicenter, cluster randomized trial with NHs as the unit of randomization. The IDEM (Impact of Systematic Tracking of Dementia Cases on the Rate of Hospitalization in Emergency Care Units) trial took place at 64 public and private NHs in France. Recruitment started on May 1, 2010, and was completed on March 31, 2012. Residents who were aged 60 years or older, had no diagnosed or documented dementia, were not bedridden, had lived in the NH for at least 1 month at inclusion, and had a life expectancy greater than 12 months were included. The residents were followed up for 18 months. The main study analyses were completed on October 14, 2016. Intervention: Two parallel groups were compared: an intervention group consisting of NHs that set up 2 multidisciplinary team meetings to identify residents with dementia and to discuss an appropriate care plan, and a control group consisting of NHs that continued their usual practice. During the inclusion period of 23 months, all residents of participating NHs who met eligibility criteria were included in the study. Main Outcomes and Measures: The primary end point (ED transfer) was analyzed at 12 months, but the residents included were followed up for 18 months.
Results: A total of 64 NHs participated in the study and enrolled 1428 residents (mean [SD] age, 84.7 [8.1] years; 1019 [71.3%] female): 599 in the intervention group (32 NHs) and 829 in the control group (32 NHs). The final study visit was completed by 1042 residents (73.0%). The main reason for early discontinuation was death (318 residents [22.7%]). The intervention did not reduce the risk of ED transfers during the 12-month follow-up: the proportion of residents transferred at least once to an ED during the 12-month follow-up was 16.2% in the intervention group vs 12.8% in the control group (odds ratio, 1.32; 95% CI, 0.83-2.09; P = .24). Conclusions and Relevance: This study failed to demonstrate that systematic screening for dementia in NHs resulted in fewer ED transfers. The findings do not support implementation of multidisciplinary team meetings for systematic dementia screening of all NH residents, beyond the national recommendations for dementia diagnosis, to reduce ED transfers. Trial Registration: ClinicalTrials.gov Identifier: NCT01569997.

Entities:  

Mesh:

Year:  2020        PMID: 32101308      PMCID: PMC7137681          DOI: 10.1001/jamanetworkopen.2020.0049

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


Introduction

In populations with multiple underlying morbidities, such as nursing home (NH) residents, dementia is highly prevalent and frequently associated with potentially avoidable adverse events, including falls, weight loss, delirium, side effects of polymedication, and behavioral disturbances. Although systematic screening for dementia in NH residents[1] is recommended by expert groups and by guidelines, underrecognition of the disease has been repeatedly reported in Europe and in the United States[2] and has been identified as an indicator of poor-quality care.[3] Underdiagnosis of dementia has resulted in inappropriate health care[4,5,6,7] and, in particular, a high hospitalization rate, notably emergency department (ED) admissions. However, to our knowledge, the hypothesis that dementia screening in NH residents results in a lower ED transfer rate has never been demonstrated. The aim of this cluster randomized clinical trial was to assess whether systematic dementia screening in NH residents, combined with multidisciplinary team meetings (MDTMs), resulted in a lower ED transfer rate compared with usual care.

Methods

The IDEM (Impact of Systematic Tracking of Dementia Cases on the Rate of Hospitalization in Emergency Care Units) study was a multicenter study cluster randomized by NH (1:1) that compared 2 groups: an intervention group consisting of NHs that set up MDTMs to identify residents with dementia and to propose an appropriate care plan, and a control group of NHs that continued their usual practice. The cluster randomized design was chosen for this study because it was difficult to include residents in both intervention and control groups in the same NH without the risk of contamination between the 2 groups. Recruitment started on May 1, 2010, and was completed on March 31, 2012. The residents were followed up for 18 months. The main study analyses were completed on October 14, 2016. The study protocol (available in Supplement 1) was approved by the French Ethics Committee for the Protection of Persons and the competent authority located in Toulouse. Oral informed consent for study participation was obtained from all residents or their representatives by the NH coordinating physicians (more details about the role of the coordinating physician appear in eAppendix 1 in Supplement 2). Participants’ written informed consent was not required by French law at the time of the study. This study followed the Consolidated Standards of Reporting Trials (CONSORT) reporting guideline.

Cluster Randomization

The unit of randomization was the NH. Before starting resident recruitment, cluster randomization with a 1:1 ratio was performed using STATA software version 9 (StataCorp LP) to allocate NHs to the intervention or the control group (stratification criteria appear in eAppendix 2 in Supplement 2).

Inclusion and Exclusion Criteria

Nursing homes located in various regions of France participated in the study on a voluntary basis. There were no exclusion criteria for nursing home participation. When the project was set up, the coordinating physician of each NH designated a memory clinic in the same area where the MDTMs could be held with the NH staff. During the inclusion period, all the residents of participating NHs who met the study criteria were included in the study: residents aged 60 years or older, without diagnosed or documented dementia, not bedridden (Groupe Iso-Ressources [GIR] score >1; GIR is the French level-of-dependence score from 1 to 6, where 1 indicates completely dependent or bedridden and 6 indicates completely independent),[8] living in the NH for at least 1 month at inclusion, with a life expectancy of more than 1 year, and without any disease likely to jeopardize his or her participation in the study.

Inclusion and Visits in NHs

After a 3-month preselection period, each coordinating physician participated in an inclusion visit with all the NH’s eligible residents over a period of 2 months. Sociodemographic and medical data were collected by the coordinating physician in both groups during the inclusion visit. The residents in the intervention group also underwent a comprehensive geriatric assessment. The residents included were followed up for 18 months. At the end of follow-up, all residents in both groups underwent a final visit in the NH with the coordinating physician including a simplified comprehensive geriatric assessment (the tests performed at the inclusion and final visits are described in eAppendix 4 in Supplement 2).

Intervention: MDTMs

In the intervention group, 2 MDTMs were organized for each NH with its associated memory clinic where the records of all participating residents were analyzed. The first meeting took place in the first month after the 2-month period of recruitment and the second meeting before the 12th month of the resident’s follow-up. The case of each resident was thus discussed twice at an interval of approximately 1 year. The details of the MDTM organization and subjective qualitative assessment of the meetings have been reported elsewhere[9] and appear in eAppendix 5 in Supplement 2.

Outcomes

The primary efficacy outcome as prespecified in the protocol was ED transfer within the first 12 months of follow-up. The data for the primary outcome were collected monthly by the NH coordinating physicians and were entered in the IDEM electronic case report form. Transfers to the ED during the 18-month follow-up were analyzed as a secondary outcome. Other secondary outcomes were the proportion of residents with at least 1 hospital admission judged by experts as inappropriate at 18-month follow-up (these data were obtained in a subset of the total population for whom a hospitalization report was available) and the incidence rate of ED transfers during the 12 months and 18 months of follow-up for 100 person-years. To assess the impact of systematic dementia screening on the appropriateness of hospitalizations, hospitalizations were classified as appropriate or inappropriate using a standardized procedure (eAppendix 6 in Supplement 2).

Changes to the Protocol

Owing to difficulties in including a sufficient number of participants in the study, the protocol was amended as follows: (1) the intensity of intervention on the primary outcome was increased by addition of a second MDTM and (2) the duration of residents’ follow-up was extended from 12 months to 18 months to better clarify the effect of the second MDTM on ED transfers after 18 months of follow-up as a secondary outcome. The amendments were validated by the French Ethics Committee for the Protection of Persons and the competent authority in Toulouse.

Statistical Analysis

The number of participants needed to meet our main objective was calculated by hypothesizing a bilateral test with an α risk of 5% and a β risk of 20% (80% power). Based on previous data,[10] we estimated the incidence of ED admissions at 24% at 12 months in the control group. To detect a 30% reduction in ED transfer rate in the intervention group, with a 2-tailed test and an α risk of 5% and 80% power, 1000 participants were required in each group, taking into account an intracluster correlation coefficient of 0.02, a 20% attrition rate, and an inflation factor related to contamination between groups of 5% to 10% during a 12-month trial. By estimating a mean number of 30 inclusions per NH, 35 institutions per group were needed. The modified intention-to-treat population, defined as all residents included who were followed up for at least 30 days, was used as the main analysis population for all efficacy end points (primary and secondary). Descriptive statistics were presented as mean and standard deviation or absolute numbers and percentages, as appropriate. Owing to the design of the study (randomized by cluster), regression analyses at individual level that took between-cluster variation into account were performed to assess the intervention effects. For primary efficacy analysis, ED transfers during the first 12 months of follow-up were described and compared between groups using a random-effects logistic regression model, with group as the fixed effect and NH as the random effect. The intervention effect vs control was estimated by the odds ratio and its 95% confidence interval. For participants who did not complete the 12-month follow-up, the primary end point was considered as negative if no ED transfer was reported before study termination. For the secondary outcomes, random effects logistic regression models were used to test the intervention effect on proportions. The number of times that residents were hospitalized during follow-up was modeled by random-effects negative binomial regression, and intervention effect was measured by rate ratio with its 95% confidence interval. All secondary efficacy analyses were performed at a significance level of 5% without adjustment for multiplicity (see per-protocol and exploratory analyses in eAppendix 7 and eAppendix 8 in Supplement 2). All analyses were performed using SAS statistical software version 9.4 (SAS Institute Inc). Significance was set at 2-tailed P < .05.

Results

Descriptive Results

Eighty-nine NHs agreed to participate in the IDEM study. After cluster randomization, 44 NHs were randomized to the intervention group and 45 to the control group. However, 25 NHs (12 in the intervention group and 13 in the control group) withdrew from the study before the recruitment of the first resident (Figure). A final total of 64 randomized NHs participated in the study, 32 in the intervention group and 32 in the control group (Table 1). Overall, during the 23-month inclusion period, 1428 residents were enrolled in the study (mean [SD] age, 84.7 [8.1] years; 1019 [71.3%] female), 599 in the intervention group and 829 in the control group. In all, 1166 residents (81.7%) were followed for at least 12 months, and the final study visit at 18 months was completed by 1042 residents (73.0%); completion rates were similar between groups. The main reason for early discontinuation was death (318 residents [22.7%]) (Figure). The mean (SD) number of months of follow-up was 15.8 (4.6) in both groups.
Figure.

Study Flowchart

Additional detail is shown in the eFigure in Supplement 2. ITT indicates intention-to-treat; NH, nursing home; and PP, per-protocol.

Table 1.

Nursing Home Characteristics

CharacteristicMean (SD)
Intervention (n = 32)Control (n = 32)Total (N = 64)
Stratification factors at inclusion
Presence of specialized Alzheimer disease care unit, No. (%)13 (40.6)14 (43.8)27 (42.2)
Participation of nursing home investigator in REHPA geriatric network congresses, No. (%)29 (90.6)25 (78.1)54 (84.4)
GMP score683.4 (137.44)707.8 (96.33)695.6 (118.37)
Description of cluster sizes
No. of residents in the center at inclusion81.5 (35.17)99.7 (38.78)90.6 (37.85)
No. of residents included by center18.7 (8.71)25.9 (13.56)22.3 (11.87)
No. of residents included by center in intent-to-treat population18.4 (8.62)25.4 (12.99)21.9 (11.49)
No. of residents included by center in per-protocol population 1a18.0 (8.43)25.3 (12.82)21.6 (11.37)
No. of residents included by center in per-protocol population 2b16.0 (7.33)25.3 (12.82)21.2 (11.64)

Abbreviations: GMP, GIR moyen pondéré (nursing home dependence score); REHPA, Recherche en Etablissement d’Hébergement pour Personnes Agées (geriatric research network in nursing homes in the Toulouse area).

Included all participants in the modified intention-to-treat population who met all eligibility criteria; the first multidisciplinary team meeting was held for participants in the intervention group.

Included all participants in the modified intention-to-treat population who met all eligibility criteria; the first and second multidisciplinary team meetings were held for participants in the intervention group.

Study Flowchart

Additional detail is shown in the eFigure in Supplement 2. ITT indicates intention-to-treat; NH, nursing home; and PP, per-protocol. Abbreviations: GMP, GIR moyen pondéré (nursing home dependence score); REHPA, Recherche en Etablissement d’Hébergement pour Personnes Agées (geriatric research network in nursing homes in the Toulouse area). Included all participants in the modified intention-to-treat population who met all eligibility criteria; the first multidisciplinary team meeting was held for participants in the intervention group. Included all participants in the modified intention-to-treat population who met all eligibility criteria; the first and second multidisciplinary team meetings were held for participants in the intervention group. Recruitment started on May 1, 2010, and was completed on March 31, 2012. Twenty-seven residents were excluded from the efficacy analysis: 11 in the intervention group (1.8%) and 16 in the control group (1.9%) who were followed up for less than 30 days according to the modified intention-to-treat definition. Baseline characteristics of the 1401 residents included in the modified intention-to-treat analysis (588 in the intervention group and 813 in the control group) are shown in Table 2. The results of the comprehensive geriatric assessment at inclusion and at 18-month follow-up are shown in eTable 1 in Supplement 2.
Table 2.

Participant Characteristics at Inclusion (Modified Intention-to-Treat Population)

CharacteristicNo. (%)
Intervention (n = 588)Control (n = 813)All (N = 1401)
Demographic
Age, mean (SD), y85.0 (7.95)84.4 (8.19)84.7 (8.09)
Female422 (71.8)582 (71.6)1004 (71.7)
Marital status
Married37 (6.3)69 (8.6)106 (7.6)
Widowed371 (63.2)476 (59.3)847 (60.9)
Single133 (22.7)196 (24.4)329 (23.7)
Divorced46 (7.8)62 (7.7)108 (7.8)
Education
No education26 (4.4)52 (6.5)78 (5.6)
Primary school173 (29.5)225 (27.9)398 (28.6)
Primary school certificate208 (35.4)256 (31.8)464 (33.3)
Elementary school or vocational diploma105 (17.9)158 (19.6)263 (18.9)
A levels or higher diploma75 (12.8)115 (14.3)190 (13.6)
French as native language553 (94.0)757 (93.1)1310 (93.5)
Length of stay in the nursing home at inclusion, mean (SD), mo47.7 (68.95)56.5 (75.88)52.8 (73.18)
Medical history
Charlson Comorbidity Index score, mean (SD)2.0 (1.84)2.0 (1.99)2.0 (1.92)
Current smoker32 (5.4)37 (4.6)69 (4.9)
Alcohol consumption188 (32.0)227 (27.9)415 (29.6)
Vascular risk factors483 (82.1)676 (83.3)1159 (82.8)
History of psychological disorders326 (55.5)527 (64.9)853 (61.0)
History of fracture242 (41.2)366 (45.1)608 (43.5)
Progressive cognitive decline123 (20.9)167 (20.6)290 (20.7)
Mini-Mental State Examination carried out in the past 6 mo275 (46.9)474 (58.4)749 (53.6)
Mini-Mental State Examination score in the past 6 mo, mean (SD)22.1 (5.29)22.8 (5.22)22.5 (5.25)
Family history of dementia29 (4.9)28 (3.4)57 (4.1)
≥1 Hospital admission in past 3 mo77 (13.1)95 (11.7)172 (12.3)
≥1 Emergency department admission in past 3 mo48 (8.2)48 (5.9)96 (6.9)
Medication use at inclusion
Neuroleptics86 (14.6)143 (17.6)229 (16.3)
Benzodiazepines310 (52.7)441 (54.2)751 (53.6)
Anxiolytics220 (37.4)353 (43.4)573 (40.9)
Antidepressants238 (40.5)382 (47.0)620 (44.3)
Hypnotics198 (33.7)286 (35.2)484 (34.5)
Thymoregulators30 (5.1)62 (7.6)92 (6.6)
Psychostimulants238 (40.5)384 (47.2)622 (44.4)
Antiepileptics84 (14.3)125 (15.4)209 (14.9)
Vitamin D27 (4.6)37 (4.6)64 (4.6)
Vitamin K antagonists28 (4.8)25 (3.1)53 (3.8)
Platelet aggregation inhibitors214 (36.4)293 (36.0)507 (36.2)
Analgesics277 (47.1)369 (45.4)646 (46.1)
Proton pump inhibitors236 (40.1)332 (40.8)568 (40.5)
Nonmedicinal treatments
Physiotherapy245 (41.7)261 (32.1)506 (36.1)
Ergotherapy46 (7.8)44 (5.4)90 (6.4)
Psychomotricity37 (6.3)38 (4.7)75 (5.4)
Psychological follow-up146 (24.8)224 (27.6)370 (26.4)
Dietetic follow-up91 (15.5)112 (13.8)203 (14.5)
Speech therapy10 (1.7)5 (0.6)15 (1.1)
Other nonmedicinal treatment30 (5.1)62 (7.6)92 (6.6)
In the intervention group, the cases of 581 residents (98.8%) were presented at the first MDTM and a conclusion on dementia diagnosis was provided for 574 residents (97.6%): high probability of dementia for 129 residents (22.5%) and suspicion of dementia for 107 residents (18.6%). In 462 cases (79.5%) presented at the first MDTM, the residents’ general practitioners (GPs) were informed of the conclusion of the first MDTM, and they followed the recommendations for 61.3% of residents. The cases of 401 residents (68.2%) were also discussed in the second MDTM; the GPs of 95.9% of residents were informed of its conclusion, and for 66.6% the recommendations from the second MDTM were followed (Table 3).
Table 3.

First and Second MDTMs in Modified Intention-to-Treat Population, Intervention Group

CharacteristicNo./Total No. (%) (N = 588)a
First MDTM
Residents whose case was studied during the first MDTM581/588 (98.8)
Time spent on each case, mean (SD), min15.8 (7.0)
No. of experts participating in the first MDTM, mean (SD)4.2 (1.6)
Conclusion on dementia diagnosis574/581 (98.8)
High probability of dementia129/574 (22.5)
Absence of dementia with normal cognitive test results207/574 (36.1)
Absence of dementia with abnormal cognitive test results103/574 (17.9)
Suspicion of dementia107/574 (18.6)
Lack of data or incomplete medical file28/574 (4.9)
Symptoms present at inclusion visit581/581 (100)
Delirium syndrome8/581 (1.4)
Depressive syndrome243/581 (41.8)
Malnutrition141/581 (24.3)
High risk of fracture272/581 (46.8)
Behavioral disturbances153/581 (26.3)
Care plan proposed at the first MDTM580/581 (99.8)
Proposal for further examinations308/580 (53.1)
Laboratory tests207/308 (67.2)
Cerebral computed tomography101/308 (32.8)
Cerebral magnetic resonance imaging27/308 (8.8)
Additional psychometric evaluation113/308 (36.7)
Therapeutic proposal470/580 (81.0)
Discussion of value of specific treatment of Alzheimer disease64/470 (13.6)
Discontinuation of a psychotropic treatment115/470 (24.5)
Introduction of a psychotropic treatment8/470 (16.6)
Other changes in drug treatment159/470 (33.8)
Proposal for nondrug treatment271/470 (57.7)
Proposal of general preventive measures355/470 (75.5)
Need for immediate hospitalization29/580 (5.0)
Need for move to another nursing home3/580 (0.5)
Resident's GP informed of MDTM conclusions462/581 (79.5)
First MDTM recommendations followed by resident's GP273/445 (61.3)
Second MDTM
Residents whose case was studied during the second MDTM401/588 (68.2)
Appearance of new developments since the first MDTM210/401 (52.4)
Care plan proposed at the second MDTM400/401 (99.8)
Proposal for further examinations105/400 (26.3)
New therapeutic proposal161/400 (40.3)
Discussion of the value of a specific treatment of Alzheimer disease23/161 (14.3)
Discontinuation of a psychotropic treatment64/161 (39.8)
Introduction of a psychotropic treatment25/161 (15.5)
Other drug modifications112/161 (69.6)
Specific recommendations to limit the need for emergency department91/400 (22.8)
Need for regular monitoring by the memory clinic21/91 (23.1)
Need for an outpatient specialist visit80/91 (87.9)
Need for immediate hospitalization6/91 (6.6)
Need for move to another nursing home2/91 (2.2)
Resident's GP informed of second MDTM conclusions351/366 (95.9)
Second MDTM recommendations followed by resident's GP235/353 (66.6)
First and second MDTM recommendations followed by resident's GP147/371 (39.6)

Abbreviations: GP, general practitioner; MDTM, multidisciplinary team meeting.

Number of participants whose data were available.

Abbreviations: GP, general practitioner; MDTM, multidisciplinary team meeting. Number of participants whose data were available.

Results of Primary Efficacy Outcome

The intervention effects on primary and secondary end point measures in the modified intention-to-treat analyses are presented in Table 4. The proportion of residents with at least 1 ED transfer in the 64 NHs during the first 12 months of follow-up showed great variation, from 0% to 58.8% among intervention NHs and from 0% to 39.3% in control NHs. The primary end point, or the proportion of residents with at least 1 ED transfer during the 12-month follow-up, was 16.2% in the intervention group and 12.8% in the control group (odds ratio, 1.32; 95% CI, 0.83-2.09; P = .24).
Table 4.

Assessment of Intervention Effect on Primary and Secondary End Points in Modified Intention-to-Treat Population, Per-protocol Population 1, and Per-protocol Population 2

End PointNo./Total No. (%)Ratio (95% CI)P Value
InterventionControl
Modified intention-to-treat population, No. (n = 1401)588813
Primary end point: ED transfer during 12-mo follow-upa95 (16.2)104 (12.8)1.32 (0.83-2.09)b.24
Incidence rate of ED transfer during 12-mo follow-up for 100 person-years (95% CI)20.06 (14.34-28.06)16.27 (11.77-22.49)1.23 (0.78-1.94)c.36
ED transfer during 18-mo follow-up118 (20.1)145 (17.8)1.16 (0.71 to1.91)b.54
Incidence rate of ED transfer during 18-mo follow-up for 100 person-years (95% CI)18.97 (13.55-26.55)16.87 (12.26-23.23)1.12 (0.71-1.77)c.61
ED transfer judged inappropriate by experts during 18-mo follow-up (n = 404)46/204 (22.5)15/200 (7.5)3.60 (1.90-6.84)b<.001
Incidence rate of ED transfer whatever the hospital unit during 18-mo follow-up in person-years (95% CI)73.56 (58.95-91.79)74.43 (60.59-91.43)0.99 (0.73-1.33)c.93
Subgroup analyses: ED transfer during 12-mo follow-up in the subgroups
NHs with Alzheimer disease unit (n = 558)28/233 (12.0)52/325 (16.0)0.75 (0.41-1.41)b.37
NHs without Alzheimer disease unit (n = 843)67/355 (18.9)52/488 (10.7)1.88 (1.01-3.52)b.04
Public NHs (n = 781)59/402 (14.7)55/379 (14.5)1.00 (0.53-1.90)b.99
Private NHs (n = 620)36/186 (19.4)49/434 (11.3)1.85 (0.97-3.55)b.06
Per-protocol population 1, No. (n = 1384)576808
ED transfer during 12-mo follow-up94 (16.3)103 (12.7)1.34 (0.84-2.13)b.21
Incidence rate of ED transfer during 12-mo follow-up for 100 person-years (95% CI)20.14 (14.38-28.22)16.27 (11.76-22.52)1.24 (0.79-1.95)c.35
ED transfer during 18-mo follow-up116 (20.1)144 (17.8)1.17 (0.72-1.91)b.52
Incidence rate of ED transfer during 18-mo follow-up for 100 person-years (95% CI)19.04 (13.61-26.65)16.95 (12.32-23.32)1.12 (0.71-1.77)c.61
Per-protocol population 2, No. (n = 1208)400808
ED transfer during 18-mo follow-up71 (17.8)144 (17.8)0.99 (0.57-1.73)b.97
Incidence rate of ED transfer during 18-mo follow-up for 100 person-years (95% CI)14.29 (9.41-21.70)16.65 (11.84-23.41)0.86 (0.51-1.46)c.57

Abbreviations: ED, emergency department; NH, nursing home.

The intracluster correlation coefficient indicates the similarity of measurements of participants from the same cluster with those from different clusters and was estimated at 0.1129 for the primary end point.

Odds ratio for intervention vs control.

Rate ratio for intervention vs control.

Abbreviations: ED, emergency department; NH, nursing home. The intracluster correlation coefficient indicates the similarity of measurements of participants from the same cluster with those from different clusters and was estimated at 0.1129 for the primary end point. Odds ratio for intervention vs control. Rate ratio for intervention vs control.

Results of Analysis of the Secondary End Point

The secondary end point of ED transfer during the entire 18-month follow-up showed no significant differences between groups. Similar results were obtained when adjusting for confounding factors (Table 4). Regarding inappropriate hospitalizations, only hospitalizations for 404 participants for whom a report was available (204 in the intervention group and 200 in the control group) were reviewed by experts. The probability of at least 1 inappropriate hospitalization was significantly higher in the intervention group than in the control group (22.5% vs 7.5%; odds ratio, 3.60 [95% CI, 1.90-6.84]) (Table 4). The incidence rate of ED transfer during the first 12 months of follow-up for 100 person-years (taking multiple hospitalizations into account) was estimated at 20.06 in the intervention group and 16.27 in the control group (rate ratio, 1.23; 95% CI, 0.78-1.94; P = .36) (Table 4). Results of per-protocol and exploratory analyses are given in eAppendix 9 and eAppendix 10 in Supplement 2.

Discussion

Our findings do not indicate that systematic dementia screening of NH residents through MDTM resulted in a lower rate of ED transfer. To our knowledge, this is the first large-scale randomized clinical trial to test the effectiveness of international recommendations for the diagnosis of Alzheimer disease in NHs.[1] The high rate of new diagnoses of dementia (approximately 41%) among residents who were not previously formally diagnosed in the intervention group confirms the underawareness of dementia in NHs.[2] However, in spite of these new diagnoses of dementia and the concomitant recognition of various associated geriatric syndromes such as malnutrition, risk of falls, depression, or behavioral disturbances (Table 3) during the MDTM in the intervention group, the overall rate of ED transfers was not lower than in the control group during the first 12 months of follow-up. Rates of transfer of NH residents to the hospital vary between countries but are approximately 40% per year.[11,12] Transfers are mainly to the ED, with a high rate of ED transfer for older people with dementia.[4,13,14] Underrecognition of dementia can result in poor understanding of a resident’s behavior and inappropriate therapy, ultimately leading to an inappropriate care plan. When residents with dementia are hospitalized, they are generally exposed to iatrogenic events and delirium[15] and have a longer hospital stay and greater functional decline than elderly people with similar health conditions but without dementia.[1,12,16] On the other hand, previous research has indicated that dementia plays a moderating role in the associations between acute diseases and ED transfers.[17] In our study, the mean proportion of participants with at least 1 ED transfer during the first 12 months of follow-up in the overall population was high (around 14%). It was higher, but not significantly so, in the intervention group than in the control group, but ED transfer rate varied greatly between NHs (Table 4; eTable 2 in Supplement 2), suggesting large disparity of practices among NHs. The intervention was mainly focused on dementia screening rather than specifically on reducing ED transfers (or the prevention of acute health conditions) and was probably too weak to set a downward trend in the routine practice of transfers and the habits of each NH staff. These results must be analyzed with caution. A reduced ED transfer rate was expected in residents newly diagnosed with dementia (approximately 41% of the intervention group diagnosed with highly probable or suspected dementia), but our intervention may have also resulted in an increased ED transfer rate among residents newly confirmed without dementia (54% of the intervention group) (Table 3). Awareness that a resident does not have dementia may in fact change the attitude of the NH staff and encourage a maximal approach to care. We speculate that our neutral results may be explained by a lower hospitalization rate of residents with a highly probable or suspected diagnosis of dementia, balanced by a higher hospitalization rate of residents with confirmed exclusion of diagnosis of dementia. This hypothesis may explain our counterintuitive results and support better quality of care. However, the supplementary analyses tend to refute this hypothesis (eTable 3 in Supplement 2). In fact, subgroup analysis according to dementia status found no statistically significant differences in ED transfer rate (16.9% of residents diagnosed with dementia at the first MDTM vs 13.6% with no diagnosis of dementia). We can also speculate that our neutral results may be explained by the lack of compliance to the care plan and recommendations proposed by the MDTMs by the residents’ GPs. However, subgroup analyses found no statistically significant differences in ED transfer rate comparing the residents whose GP followed the recommendations of the MDTMs vs control (eTable 4 and eTable 5 in Supplement 2). Similar results were found when we compared the ED transfer rate between GP compliant residents vs GP noncompliant residents within the intervention group (eTable 6 and eTable 7 in Supplement 2). In our study, we did not collect data on the compliance of the NH staff to the care plan and recommendations proposed by the MDTMs. Our study also suggests that the probability of at least 1 inappropriate hospitalization was significantly higher in the intervention group than in the control group (Table 4). These results suggest that the dementia screening process in the intervention group did not influence the probability of ED transfer, whatever the final diagnosis and the care plan proposed during the MDTM. The reason why residents in the intervention group were statistically more often transferred inappropriately to the ED (whatever the final diagnosis of dementia) remains unclear, but supports the suggestion that too much medication may be harmful in this population.[18] However, this finding must be interpreted with caution because it consisted of an exploratory analysis performed in a non–randomly selected subgroup of participants and was restricted by data availability (only participants whose hospitalization report was available were included in this analysis). Current evidence and expert opinion indicate that person-centered care and dementia care mapping in patients with Alzheimer disease improve the management of symptoms such as behavioral disturbances as well as clinical outcomes such as NH admission.[1] However, these findings were made in community-dwelling patients[19] rather than NH residents with severe dementia or disability. In this specific NH population, this approach may be less beneficial or even pointless. There is growing concern in the scientific community about overdiagnosis or screening programs that diagnose diseases that would not cause harm to the patient. One could argue that the residents with dementia were not previously diagnosed because no clinically significant problem arose from their disease. Possibly, after systematic screening, diagnosis of dementia may have resulted in overuse of pharmaceutical agents that endangered the residents’ health rather than enhancing it, and in performance of brain imaging or blood tests that raised the risk of new diagnoses and new investigations, thus distressing the resident, their relatives, and the NH staff; incurring unnecessary expense; and increasing the rate of inappropriate ED transfer. This may have occurred in particular when NH staff were not trained in dealing with people with dementia (as suggested by our exploratory results in NHs without a special Alzheimer disease care unit) (Table 4) and it may also have diverted the already stretched human resources of the NH to nonuseful tasks.

Limitations

To our knowledge, the IDEM study is the largest randomized clinical trial to examine the benefit of systematic dementia screening in older people. However, several limitations of the study should be noted. First, IDEM was a national multicenter study in which NHs took part on a voluntary basis. They were not representative of all NHs. However, it seems unlikely that the same intervention in nonvolunteering NHs would have resulted in better outcome. Second, owing to the constraints of the study, its long duration, and NH staff turnover, 25 NHs withdrew their participation during the first 3 months (preselection period), resulting in an underpowered sample size. The initial objective was to include 2000 residents to have 80% power to detect a 30% reduction assumption of ED transfer rate in the intervention group. Whether higher recruitment would have resulted in a significantly lower rate of ED transfers in the interventional group remains unknown. However, the observed trend of higher ED transfer in the intervention group makes this hypothesis unlikely. We did not perform any interim analysis for this nonpharmacologic treatment intervention, as interim analysis was not planned at the beginning of the trial. Given the insufficient number of participants included, a 12-month interim analysis could have been relevant; however, owing to the expected insufficient number of participants, we opted for a longer period of exposure to the intervention (adding a second MDTM) and a longer-term (18-month) outcome measure. The data for staff to resident ratio for each NH were not collected in the study. It would have been interesting to describe the exact typology of the staff in the different NHs. However, in France we have indicators of care load (GMP, an NH level-of-dependence score; and PMP, an NH comorbidity score), which are proxies defining the staffing requirements of the different structures. In this study, we collected GMP. Despite a comparable GMP in both groups at baseline (Table 1), we cannot exclude a disparity in the distribution of the different trades between the 2 groups.

Conclusions

In conclusion, this study does not preclude benefits from the diagnosis of dementia currently made in residents before or after NH admission. However, our results do not support the recommendations for systematic screening of all cases of dementia in NH.
  18 in total

1.  Underrecognition and undertreatment of dementia in Italian nursing homes.

Authors:  Antonio Cherubini; Carmelinda Ruggiero; Giuseppina Dell'Aquila; Paolo Eusebi; Beatrice Gasperini; Elisa Zengarini; Annarita Cerenzia; Giovanni Zuliani; Antonio Guaita; Fabrizia Lattanzio
Journal:  J Am Med Dir Assoc       Date:  2012-06-23       Impact factor: 4.669

2.  Factors contributing to the hospitalization of nursing home residents.

Authors:  J S Kayser-Jones; C L Wiener; J C Barbaccia
Journal:  Gerontologist       Date:  1989-08

3.  Nursing home patients transferred by ambulance to a VA emergency department.

Authors:  H D Kerr; J C Byrd
Journal:  J Am Geriatr Soc       Date:  1991-02       Impact factor: 5.562

4.  There is no evidence base for proposed dementia screening.

Authors:  Martin D Brunet; Margaret McCartney; Iona Heath; Jonathan Tomlinson; Peter Gordon; John Cosgrove; Peter Deveson; Sian Gordon; Sally-Ann Marciano; Deborah Colvin; Melissa Sayer; Ruth Silverman; Naureen Bhattia
Journal:  BMJ       Date:  2012-12-27

5.  Patterns of Emergency Department Use Among Long-Stay Nursing Home Residents With Differing Levels of Dementia Severity.

Authors:  Michael A LaMantia; Kathleen A Lane; Wanzhu Tu; Jennifer L Carnahan; Frank Messina; Kathleen T Unroe
Journal:  J Am Med Dir Assoc       Date:  2016-03-24       Impact factor: 4.669

6.  Nursing home characteristics and potentially preventable hospitalizations of long-stay residents.

Authors:  Orna Intrator; Jacqueline Zinn; Vincent Mor
Journal:  J Am Geriatr Soc       Date:  2004-10       Impact factor: 5.562

7.  Multidisciplinary team meetings (MDTM) in detection of Alzheimer's disease: data from the IDEM study.

Authors:  Y Rolland; N Tavassoli; S Gillette-Guyonnet; A Perrin; S Hermabessière; P-J Ousset; F Nourhashemi; P Cestac; B Vellas
Journal:  J Nutr Health Aging       Date:  2013-02       Impact factor: 4.075

8.  Transitions in care for older adults with and without dementia.

Authors:  Christopher M Callahan; Greg Arling; Wanzhu Tu; Marc B Rosenman; Steven R Counsell; Timothy E Stump; Hugh C Hendrie
Journal:  J Am Geriatr Soc       Date:  2012-05       Impact factor: 5.562

Review 9.  Dementia prevention, intervention, and care.

Authors:  Gill Livingston; Andrew Sommerlad; Vasiliki Orgeta; Sergi G Costafreda; Jonathan Huntley; David Ames; Clive Ballard; Sube Banerjee; Alistair Burns; Jiska Cohen-Mansfield; Claudia Cooper; Nick Fox; Laura N Gitlin; Robert Howard; Helen C Kales; Eric B Larson; Karen Ritchie; Kenneth Rockwood; Elizabeth L Sampson; Quincy Samus; Lon S Schneider; Geir Selbæk; Linda Teri; Naaheed Mukadam
Journal:  Lancet       Date:  2017-07-20       Impact factor: 202.731

10.  Screening for dementia and other causes of cognitive impairment in general hospital in-patients.

Authors:  Susan D Shenkin; Tom C Russ; Tracy M Ryan; Alasdair M J MacLullich
Journal:  Age Ageing       Date:  2013-11-25       Impact factor: 10.668

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  1 in total

1.  Do not PIMP my nursing home ride! The impact of Potentially Inappropriate Medications Prescribing on residents' emergency care use.

Authors:  Thomas Rapp; Jonathan Sicsic; Neda Tavassoli; Yves Rolland
Journal:  Eur J Health Econ       Date:  2022-10-21
  1 in total

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