In brief
An NIA-funded doctoral proposal to study how co-occurring serious mental illness shapes symptoms, care needs, and outcomes for nursing-home residents with dementia, using large MDS 3. 0 data plus staff interviews.
What this article is about
Quick Answer
An NIA-funded doctoral proposal to study how co-occurring serious mental illness shapes symptoms, care needs, and outcomes for nursing-home residents with dementia, using large MDS 3.0 data plus staff interviews. No results yet.
Student takeaways
Key Takeaways
- The proposal states that almost all individuals with ADRD will receive short- or long-term nursing-home care at some point as their disease progresses.
- It identifies comorbid serious mental illness (SMI) as common among people with ADRD yet understudied, despite its potential impact on disease burden, care needs, and symptoms.
- The central research question is whether SMI plays an additive role in shaping behavioral symptoms, care needs (such as pain), and outcomes (such as falls) among people with ADRD.
- Aim 1 will analyze 2019 Minimum Data Set 3.0 data from roughly 500,000 nursing-home residents, using clustering to define patterns of ADRD/SMI co-occurrence.
- Aim 2 will use content analysis of interviews with 30 nursing-home staff to explain and extend the quantitative findings, within a mixed-methods sequential explanatory design guided by the Need-Driven, Dementia-Compromised Behavior Model.
Student summary
Why This Research Matters
This document is the summary of a funded research proposal, an F31 predoctoral fellowship grant from the U.S. National Institute on Aging, led by Laura Block. Because it is a proposal, it describes planned aims, rationale, and methods rather than results. That distinction matters throughout: the study has not yet produced findings.
The focus is on people living with Alzheimer's disease and related dementias (ADRD), a group of conditions that cause progressive decline in memory and thinking along with behavioral and functional impairment. The summary explains that as ADRD progresses, individuals face a rising risk of poor outcomes that often lead to skilled care in nursing homes, and that almost everyone with ADRD will receive short- or long-term nursing-home care at some point. Providing high-quality, person-centered dementia care is described as a national priority.
The specific gap the researcher targets is comorbid serious mental illness (SMI), conditions such as bipolar disorder and other serious psychiatric illnesses, among people who also have ADRD. The summary states that SMI is common in this population but remains understudied, even though it may affect disease risk, burden, care needs, and the symptoms a person shows. Both ADRD and SMI are described as especially common in nursing-home settings. The central question is whether SMI plays an additional role in shaping behavioral symptoms, care needs (such as pain), and outcomes (such as falls) among people with ADRD.
The study uses a mixed-methods sequential explanatory design, guided by the Need-Driven, Dementia-Compromised Behavior Model. In Aim 1, the researcher will analyze existing data from the Minimum Data Set 3.0 (a standardized U.S. nursing-home assessment), using 2019 records from roughly 500,000 residents, and will apply clustering techniques to define patterns of ADRD/SMI co-occurrence and how they vary by demographic characteristics. In Aim 1A, she will examine how these different ADRD/SMI combinations relate to behavioral symptoms, outcomes such as falls and functional status, and care needs and interventions such as medication use and restraint use, compared with ADRD alone. In Aim 2, she will conduct and analyze interviews with 30 nursing-home staff members, including nurses, nursing assistants, social workers, and providers, about their perceptions of caring for residents with combined cognitive and psychiatric needs. The stated long-term goal is to build a program of research designing person-centered interventions for symptom management in adults with ADRD and complex comorbidities.
For nursing students, this proposal is a strong illustration of mixed-methods research: it combines large-scale quantitative data with qualitative interviews so that numbers and human experience inform each other. It also highlights a clinically important and under-recognized reality, that older adults in nursing homes often live with both dementia and serious mental illness, and that this combination may change how symptoms appear and what care is needed.
It is just as important to note the limits. Because this is a proposal, there are no results yet: we do not know what patterns will emerge, how SMI actually shapes symptoms or outcomes, or what staff will report. The quantitative work relies on secondary administrative data (the MDS 3.0), which can contain diagnostic and documentation limitations, and the qualitative sample is small (30 staff) and reflects perceptions rather than measured outcomes.
Clinically, the proposal reinforces safe, person-centered practices that nurses can apply now. Behavior in dementia is often a form of communication, signaling unmet needs such as pain, fear, or discomfort, so careful assessment of underlying needs is preferable to assuming symptoms are 'just the dementia' or 'just the mental illness.' Physical and chemical restraints carry serious risks and should be minimized. Recognizing that a resident may have both ADRD and a serious mental illness can help nurses avoid overlooking treatable causes of distress and support more individualized, dignified care. Students should treat the study's specific claims as hypotheses to be tested, and follow the eventual findings before drawing conclusions.
Source abstract
Study Overview
PROJECT SUMMARY/ABSTRACT Individuals with Alzheimer’s disease and related dementias (ADRD) experience progressive cognitive decline and behavioral and functional impairment. With disease progression, individuals with ADRD also experience heightened risk for poor outcomes which often culminate in the need for skilled care provided in nursing homes (NH); almost all individuals with ADRD will receive short- or long-term NH care at some point. While providing high-quality, person-centered ADRD care is a national priority, progress toward this goal is limited in part by a lack of understanding regarding the influence of major comorbidities on ADRD disease burden, care needs, and symptoms. In particular, comorbid serious mental illness (SMI), which is common among individuals with ADRD, remains understudied despite its impact on disease risk, burden, care needs, and symptomatology. Burden of both ADRD and SMI is particularly high in NH settings. Understanding whether SMI plays an additive role in shaping behavioral symptom presentation among individuals with ADRD, care needs (e.g. pain), and outcomes (e.g. falls) can inform intervention targets and improve person-centered care across settings. Towards this end, I propose a mixed methods sequential explanatory design to investigate the contribution of SMI to ADRD symptoms, outcomes, and care interventions; domains informed by the Need-Driven, Dementia-Compromised Behavior Model. I will utilize secondary data available through the Minimum Data Set 3.0 (MDS 3.0) (Aim 1/1A) and conduct interviews with NH staff (Aim 2). My long-term goal is to establish a program of research designing and delivering person-centered interventions for symptom management among adults with ADRD and complex comorbidities. My short-term objective is to characterize ADRD/SMI’s relationship to shared and distinct symptomology, outcomes, and care interventions; and implications for individuals with ADRD and provision of person-centered care. Under Aim 1, I will describe patterns and characteristics of comorbid ADRD/SMI diagnosis among NH residents using 2019 MDS 3.0 NH assessment data (N~500,000). Applying clustering techniques, I will define underlying ADRD/SMI disease co-occurrences and their variation by demographic characteristics. I will then evaluate how distinct ADRD/SMI comorbidities are associated with unique behavioral symptoms, outcomes (e.g. falls, functional status) and care needs/interventions (e.g. medication use, restraint use) as compared to ADRD alone (Aim 1A). Under Aim 2, I will explain and extend Aim1/1a findings by conducting content analysis of interviews with NH staff (e.g. nurses, nursing assistants, social workers, providers) (N=30, total) about their perceptions of ADRD/SMI comorbidities and care of residents with complex cognitive and psychiatric care needs. Impact: Findings from the proposed study are responsive to ADRD research priorities and will provide foundational data informing targets for person-centered care interventions for patients with ADRD/SMI by illuminating the contributory role of SMI to ADRD symptoms and care. The training plan will support my broader career goal of becoming a leading clinician scientist focused on aging and ADRD care.
Evidence appraisal
Main Findings
- The proposal states that almost all individuals with ADRD will receive short- or long-term nursing-home care at some point as their disease progresses.
- It identifies comorbid serious mental illness (SMI) as common among people with ADRD yet understudied, despite its potential impact on disease burden, care needs, and symptoms.
- The central research question is whether SMI plays an additive role in shaping behavioral symptoms, care needs (such as pain), and outcomes (such as falls) among people with ADRD.
- Aim 1 will analyze 2019 Minimum Data Set 3.0 data from roughly 500,000 nursing-home residents, using clustering to define patterns of ADRD/SMI co-occurrence.
- Aim 2 will use content analysis of interviews with 30 nursing-home staff to explain and extend the quantitative findings, within a mixed-methods sequential explanatory design guided by the Need-Driven, Dementia-Compromised Behavior Model.
Practice transfer
Clinical Relevance
- Because this is a proposal with no results, its specific claims about how SMI shapes ADRD care should be treated as hypotheses to be tested, not established facts.
- Behavioral symptoms in dementia often communicate unmet needs (pain, fear, discomfort), so assessing underlying needs is safer than assuming symptoms are simply part of the disease.
- Recognizing that a resident may have both ADRD and a serious mental illness can help nurses avoid overlooking treatable causes of distress.
- Physical and chemical restraints carry serious risks and should be minimized in favor of person-centered approaches.
- Pain in residents who cannot easily self-report deserves careful, proactive assessment, especially where cognitive and psychiatric needs overlap.
Faculty notes
Educational Relevance
This NIA-funded F31 predoctoral proposal (Laura Block) is a clear teaching case for mixed-methods design and for reading a proposal as aims rather than evidence. It asks whether comorbid serious mental illness (SMI) adds to the behavioral symptoms, care needs, and outcomes of nursing-home residents with Alzheimer's disease and related dementias (ADRD), guided by the Need-Driven, Dementia-Compromised Behavior Model. Highlight the design: Aim 1 uses 2019 Minimum Data Set 3.0 data (N~500,000) with clustering to map ADRD/SMI co-occurrence; Aim 1A links those patterns to symptoms, outcomes (falls, functional status), and care (medication, restraint use) versus ADRD alone; Aim 2 adds content analysis of interviews with 30 nursing-home staff. Ask students why a sequential explanatory design pairs large quantitative data with qualitative depth, and what each strand can and cannot show. Emphasize that there are no findings yet. Use the proposal to discuss strengths and limits of secondary administrative data, the meaning of a small purposive interview sample, and why clustering is descriptive rather than causal. Clinically, it opens rich discussion of behavior as communication in dementia, the Need-Driven model, restraint minimization, pain assessment in people who cannot easily self-report, and the risk of attributing all distress to 'the dementia.' It pairs well with a lesson on person-centered, trauma-informed dementia care and on the ethics of caring for residents with complex cognitive and psychiatric needs.
Critical appraisal
Limitations
- This is a funded predoctoral research proposal, not a completed study; it reports no findings.
- Aim 1 relies on secondary administrative data (MDS 3.0), which can carry diagnostic and documentation limitations.
- The qualitative sample is small (30 staff) and captures perceptions rather than measured patient outcomes.
Classroom use
Discussion Questions
- What is a mixed-methods sequential explanatory design, and why might it suit this research question?
- Why is it important to distinguish a proposal's aims from proven findings?
- What does the Need-Driven, Dementia-Compromised Behavior Model suggest about the meaning of behavioral symptoms?
- Why might serious mental illness be under-recognized in nursing-home residents who also have dementia?
- What are the strengths and weaknesses of using large administrative datasets like the MDS 3.0?
- How can nurses assess pain in residents who cannot easily communicate it?
- What are the risks of physical and chemical restraints, and what alternatives exist?
- Why can clustering describe patterns but not prove that SMI causes particular outcomes?
- How might interviewing nursing-home staff add understanding that numbers alone cannot?
- What ethical considerations arise in caring for residents with combined cognitive and psychiatric needs?
Search-ready answers
Frequently asked questions
Does this study show how SMI affects dementia care?
Not yet. It is a research proposal describing what will be studied. There are no results, so its specific claims are hypotheses to be tested.
What is ADRD?
Alzheimer's disease and related dementias, conditions causing progressive decline in memory, thinking, behavior, and function.
What is serious mental illness in this context?
Serious psychiatric conditions (such as bipolar disorder) that co-occur with dementia; the summary says they are common but understudied in this group.
What is the MDS 3.0?
The Minimum Data Set 3.0, a standardized U.S. nursing-home assessment used here as a large secondary data source.
Why combine big data with interviews?
The quantitative data reveals patterns across many residents, while interviews with staff explain and add human context, together giving a fuller picture.
What does the Need-Driven model say?
That behaviors in dementia often express unmet needs such as pain, fear, or discomfort, rather than being random or intentional.
What can nurses take from this now?
To assess underlying needs (including pain), avoid assuming distress is 'just the dementia,' consider co-existing mental illness, and minimize restraints.
Are restraints recommended?
No. Restraints carry serious risks; person-centered alternatives are preferred, and the study examines restraint use as an outcome to understand it.
What are the study's main limitations?
No results yet, reliance on secondary administrative data, a small interview sample, and descriptive (not causal) analyses.
When can we trust conclusions about ADRD and SMI care?
After the study reports results and, ideally, after further research confirms them.