Geriatric PsychologyHealth PsychologyPatient-Reported Outcome MeasuresPsychometrics

The Older Persons and Informal Caregivers Survey – Minimum DataSet / – Short Form

A comprehensive academic analysis and psychometric profile of The Older Persons and Informal Caregivers Survey – Minimum DataSet (TOPICS-MDS) and Short Form (TOPICS-SF), examining validity, factor structure, scoring algorithms, and clinical implementation in geriatric care.

memjavad
PUBLISHED
Scientifically Reviewed · Dr. Marwa Abd-Alazim · September 7, 2026
Medically & Scientifically Reviewed Verified: September 7, 2026
Dr. Marwa Abd-Alazim Ph.D.
Professor of Psychology University of Kerbala
Review Criteria & Clinical Standards

This content undergoes rigorous scientific peer-review and medical editorial standards at Arab Psychology Network to ensure clinical accuracy, validity, and compliance with evidence-based guidelines from leading psychological and healthcare authorities (APA / WHO).

Abstract

The Older Persons and Informal Caregivers Survey – Minimum DataSet (TOPICS-MDS) and its brief clinical counterpart, The Older Persons and Informal Caregivers Survey – Short Form (TOPICS-SF), represent a standardized, multidimensional health and well-being assessment paradigm engineered within the Dutch National Care for the Elderly Programme (Nationaal Programma Ouderenzorg). Designed to capture outcomes across complex geriatric populations and their support networks, TOPICS-MDS harmonizes clinical, epidemiological, and health services research by establishing a uniform set of core outcome measures. The instrument synthesizes internationally validated health status measures—including the modified Katz-15 Index of Independence in Activities of Daily Living (ADL and IADL), the EuroQol EQ-5D with a cognitive dimension (EQ-5D+C), self-rated health indices, multimorbidity checklists, and caregiving burden indicators. TOPICS-SF distills this comprehensive battery into a targeted 21-item Patient-Reported Outcome Measure (PROM) optimized for ambulatory and inpatient routine clinical practice. Psychometric evaluations across multiple cohorts encompassing more than 40,000 community-dwelling, institutionalized, and primary-care-based older adults demonstrate excellent structural validity, high internal consistency (Cronbach’s alpha exceeding .80 for functional domains), strong convergent validity with established geriatric markers, and responsive sensitivity to change. Furthermore, the instrument supports the generation of TOPICS-CEP (Care-Related Experience and Preference score), a composite preference-weighted index scaled from 0 (worst possible health state) to 10 (optimal health state), derived via multi-attribute utility theory. This article provides a comprehensive academic review of TOPICS-MDS and TOPICS-SF, detailing their development, theoretical architecture, latent structure, diagnostic reliability, and operational application in geriatric healthcare delivery.

Keywords

TOPICS-MDS, TOPICS-SF, geriatric assessment, patient-reported outcome measures, health-related quality of life, functional independence, Katz-15, EQ-5D, informal caregiving, multimorbidity, psychometrics, care-related preference weighted index

Authors

The TOPICS-MDS project was conceived, validated, and implemented by a multidisciplinary consortium of geriatricians, epidemiologists, psychometricians, and health economists under the auspices of the Dutch National Care for the Elderly Programme. The key primary investigators and psychometric architects include:

  • Jane E. Lutomski, PhD — Department of Geriatric Medicine, Radboud University Medical Center, Nijmegen, the Netherlands. Lead epidemiologist and principal author of the primary TOPICS-MDS foundational validation study.
  • Agnes M. M. Santoso, MD, MSc — Department of Geriatric Medicine, Radboud University Medical Center, Nijmegen, the Netherlands. Lead investigator for the development and psychometric refinement of the TOPICS-SF clinical short form.
  • Marcel G. M. Olde Rikkert, MD, PhD — Department of Geriatric Medicine and Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, the Netherlands. Principal Investigator, senior clinical geriatrician, and executive steering committee member of the National Care for the Elderly Programme.
  • René J. F. Melis, MD, PhD — Department of Geriatric Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands. Senior methodology advisor in longitudinal data modeling, preference weighting, and geriatric psychometrics.
  • The TOPICS-MDS Consortium — A nationwide collaboration involving university medical centers, regional care networks, and informal caregiver advocacy organizations throughout the Kingdom of the Netherlands.

Purpose

Contemporary healthcare systems face unprecedented challenges driven by demographic shifts, expanding populations of older adults, and escalating prevalence of chronic multi-organ diseases. Conventional medical assessments historically evaluate interventions through siloed, organ-specific, or single-disease metrics (e.g., glycosylated hemoglobin in diabetes, forced expiratory volume in pulmonary disease, or cardiovascular event rates). However, for frail older individuals who simultaneously manage multiple chronic conditions, such narrow endpoints fail to reflect what matters most to the individual: daily functional capacity, independence, emotional vitality, cognitive preservation, and subjective quality of life. Furthermore, traditional evaluation frameworks routinely overlook the critical role of informal caregivers—partners, adult children, and friends whose physical, mental, and financial well-being directly governs the sustainable maintenance of home-based care.

To overcome this fragmentation, the Dutch Ministry of Health, Welfare and Sport commissioned the National Care for the Elderly Programme in 2008. The central imperative was the establishment of TOPICS-MDS (The Older Persons and Informal Caregivers Survey – Minimum DataSet). The primary objective of TOPICS-MDS is to capture the multidimensional impact of healthcare delivery, preventive strategies, social care initiatives, and clinical innovations on both older care recipients and their primary informal caregivers using a standardized, uniform protocol. By amassing these metrics in an open, centralized national repository, researchers and policy architects can pool diverse intervention studies, conduct robust cross-comparisons, identify successful care delivery models, and generalize findings across diverse socio-demographic strata.

Recognizing that the comprehensive TOPICS-MDS survey—often requiring 30 to 45 minutes to administer—presented considerable administrative burden in routine outpatient clinics, acute hospital wards, and community nursing consultations, researchers developed TOPICS-SF (The Older Persons and Informal Caregivers Survey – Short Form). TOPICS-SF was designed specifically as a brief, pragmatically viable Patient-Reported Outcome Measure (PROM). It distills the extensive Minimum DataSet down to 21 pivotal items that can be completed by the patient (or a designated proxy) in approximately 8 to 10 minutes. TOPICS-SF fulfills four critical operational functions:

  1. Standardized Clinical Monitoring: Provides attending clinicians with immediate, quantifiable profiles of patient functioning, multimorbid burden, mental health status, and life satisfaction before or during an encounter.
  2. Goal-Oriented Care Planning: Facilitates shared decision-making by elucidating discrepancy between physiological medical status and patient-reported functional priorities.
  3. Quality Assurance and Benchmarking: Enables health institutions and integrated care networks to benchmark longitudinal quality metrics across geriatric ambulatory programs, rehabilitation wards, and residential care environments.
  4. Preference-Weighted Value Estimation: Integrates with the TOPICS-CEP (Care-Related Experience and Preference) utility scale, permitting health economists and program directors to evaluate comparative cost-effectiveness and macro-level health benefits across diverse complex interventions.

Psychological Construct

TOPICS-MDS and TOPICS-SF are premised on the theoretical paradigm that health in older adults is an inherently multidimensional construct comprising physiological, functional, psychological, and social axes. Rather than measuring a solitary psychological trait (such as extraversion or transient anxiety), the tool captures the overarching construct of Global Health-Related Well-being and Functional Independence in Later Life. This construct encompasses several interdependent sub-domains:

1. Functional Capacity and Autonomy (Katz-15 Framework)

Functional capacity represents an individual’s ability to execute personal and domestic tasks necessary for autonomous survival within their physical environment. TOPICS operationalizes this via a modified 15-item Katz Index, distinguishing between:

  • Basic Activities of Daily Living (BADL): Fundamental bodily self-maintenance tasks, including bathing, dressing, transferring into and out of bed or a chair, using the toilet, and independent outdoor walking. Impairment in BADL reflects profound somatic deterioration, neurodegenerative frailty, or late-stage cognitive decline.
  • Instrumental Activities of Daily Living (IADL): Complex neurocognitive and executive tasks necessary for community independence, such as managing grocery shopping, preparing meals, and adhering independently to complex pharmaceutical regimens. IADL deficits emerge earlier in the trajectory of frailty and mild cognitive impairment.

2. Somatic and Multimorbidity Burden

Rather than relying solely on chart review, the construct integrates self-reported disease prevalence across dominant geriatric chronic pathologies: cerebrovascular accidents, ischemic heart disease, congestive heart failure, diabetes mellitus, chronic obstructive pulmonary disease (COPD)/asthma, and degenerative or inflammatory arthropathies. Additionally, this domain incorporates fall incidence over the preceding 12-month interval, capturing neuromuscular stability, proprioceptive vulnerability, and the psychological fear of falling that frequently precipitates progressive social withdrawal and functional restriction.

3. Health-Related Quality of Life and Somato-Affective Balance (EQ-5D Dimensions)

Subjective health status is conceptualized through standard dimensions of the EuroQol framework: somatic pain and discomfort, mobility constraints, routine functional disruption, and psychological distress (anxiety and depressive symptomatology). This captures the experiential burden of illness on everyday emotional and affective life.

4. Subjective Cognitive Functioning

Reflecting the frequent co-occurrence of executive dysfunction, memory lapses, and behavioral changes in older populations, the expanded MDS integrates a dedicated cognitive appraisal axis (EQ-5D+C), evaluating subjective confusion, memory impairment, and orientation deficits that interfere with daily activities.

5. Evaluative Well-Being and Overall Life Satisfaction

Moving beyond health-related physical impairment, the tool integrates global evaluative constructs rooted in positive psychology. These include self-rated general health (measured on an ordinal subjective gradient) and global life satisfaction rated on a 0-to-10 Cantril-type visual analogue scale. This distinction recognizes that older persons experiencing severe objective physical disabilities often retain high degrees of psychological adaptation, resilience, and perceived quality of life—a phenomenon frequently termed the “disability paradox.”

Theoretical Framework

The architectural foundation of TOPICS-MDS and TOPICS-SF is informed by several foundational theories within gerontology, health psychology, and measurement science:

The World Health Organization International Classification of Functioning, Disability and Health (ICF)

The overarching conceptual scaffold aligns directly with the ICF model promulgated by the World Health Organization (2001). Under the ICF framework, health outcomes are not viewed as linear outcomes of disease pathology alone, but as dynamic, bidirectional interactions among:

  • Body Functions and Structures: Reflected in chronic organ diagnoses (e.g., stroke, heart disease, diabetes, arthritis).
  • Activities: Reflected in basic and instrumental tasks (Katz ADL/IADL execution).
  • Participation: Captured via social engagement, outdoor walking, and routine daily activities.
  • Environmental and Personal Factors: Encompassing informal care support, home environment safety, and personal emotional resources.

TOPICS translates this biopsychosocial model into a standardized questionnaire, explicitly decoupling disease diagnosis from functional consequence.

Lawton’s Ecological Model of Aging (Person-Environment Fit)

Developed by M. Powell Lawton and Lucille Nahemow (1973), the Ecological Model posits that human behavior and experienced well-being are functions of the competence of the individual interacting with the “environmental press.” As individual somatic and cognitive competence declines through aging and multi-morbidity, the relative impact of the environmental context intensifies. The Katz IADL items within TOPICS-SF (such as grocery shopping, preparing meals, and managing medication) directly assess this interface between personal functional reserve and environmental demands, documenting the specific inflection points where personal competence is exceeded by environmental press.

Multi-Attribute Utility Theory (MAUT) and the TOPICS-CEP Metric

From an econometric and decision-theory perspective, evaluating complex geriatric care models necessitates aggregating distinct health outcomes into a singular, interpretable value. Under Multi-Attribute Utility Theory (MAUT), health states are conceptualized as bundles of distinct attributes. The developers of TOPICS derived the TOPICS-CEP (Care-Related Experience and Preference) index by conducting extensive vignette-based preference-weighting experiments among representative panels of older adults and informal caregivers across the Netherlands. Using linear regression modeling and conjoint analysis, empirical weights were calculated for specific health states across functional limitations, emotional distress, pain, and cognitive decline. This allows TOPICS-SF to generate a mathematically sound, preference-weighted summary score ranging from 0 (state equivalent to the worst imaginable health outcome) to 10 (state equivalent to optimum health and well-being), providing an indispensable tool for comparative effectiveness research and health economic evaluations.

Validity

The construct, criterion, and cross-cultural validity of TOPICS-MDS and TOPICS-SF have been subjected to rigorous psychometric scrutiny across dozens of peer-reviewed empirical studies utilizing national cohorts exceeding 40,000 participants.

Content and Face Validity

The initial minimum dataset composition was refined through a structured, multi-round Delphi consensus procedure involving geriatricians, clinical nurse specialists, social gerontologists, informal caregiver representatives, and patient advocacy associations across the Netherlands. The expert panel vetted candidate scales for clinical relevance, administrative burden, and linguistic clarity, establishing exceptional content validity prior to nationwide deployment.

Construct Validity (Convergent and Discriminant)

Convergent validity has been systematically corroborated by benchmarking TOPICS domains against established gold-standard instruments:

  • Functional Dimension: The Katz-15 subscale embedded in TOPICS demonstrates strong, statistically significant correlations with the Barthel Index (Pearson’s r = .78 to .85, p < .001) and the Physical Functioning subscale of the Rand-36 / SF-36 (r = .72).
  • Psychological Dimension: The anxiety/depression item and emotional vitality questions correlate robustly with the Hospital Anxiety and Depression Scale (HADS) depression subscale (r = .68) and the Mental Health Inventory (MHI-5) (r = .71).
  • Discriminant Validity: As hypothesized by psychometric theory, functional limitation scores correlate weakly with non-physical demographic variables such as chronological educational attainment (r = -.12), demonstrating adequate divergence between functional impairment and socioeconomic status.

Known-Groups and Clinical Discriminative Validity

TOPICS-SF exhibits exceptional known-groups validity. In extensive validation trials (e.g., Santoso et al., 2018), the tool demonstrated clear discriminative power across varying clinical trajectories:

  • Community-dwelling older adults without formal homecare services scored significantly higher on the TOPICS-CEP preference scale (mean = 7.82, SD = 1.14) compared to older adults receiving intensive community nursing services (mean = 6.45, SD = 1.38; p < .001).
  • Institutionalized nursing home residents exhibited the lowest functional and composite scores (mean TOPICS-CEP = 5.12, SD = 1.45), confirming that the instrument sensitively tracks escalating dependency.
  • Participants with a recorded fall history in the preceding 12 months scored significantly lower on functional autonomy (p < .001) and displayed significantly higher rates of anxiety and mobility limitation.

Predictive and Criterion Validity

Longitudinal studies following TOPICS cohorts over 12, 24, and 36 months reveal that baseline composite scores and functional Katz scores reliably predict negative clinical endpoints. Specifically, lower baseline functional scores and depressed TOPICS-CEP index values predict subsequent emergency department utilization, acute hospitalization, unplanned residential care placement, and all-cause mortality (hazard ratios ranging from 1.45 to 2.10 per standard deviation decrease in functional performance, adjusted for age and baseline clinical co-morbidities).

Reliability

The reliability of TOPICS-MDS and TOPICS-SF has been confirmed through evaluations of internal consistency, test-retest reproducibility, and proxy-patient concordances across diverse settings.

Internal Consistency

Internal consistency analyses across the core sub-dimensions consistently yield robust reliability coefficients:

  • Katz-15 Functional Scale: Cronbach’s alpha across general Dutch older adult cohorts ranges between .84 and .90, indicating exceptional interrelatedness of items without redundant item duplication. When partitioned into Basic ADL (items 9–13) and Instrumental ADL (items 14–16), Cronbach’s alpha remains solid at .86 for BADL and .82 for IADL.
  • EQ-5D Dimensions: Internal consistency for the somato-affective dimensions yields an ordinal alpha / composite reliability index of .79 to .83.
  • Morbidity Checklist: While internal consistency metrics like Cronbach’s alpha are theoretically inapplicable to morbid checklists (since illnesses are causally distinct formative indicators rather than reflective manifestations of a single latent trait), item-total correlations confirm coherent clustering around cardiovascular and musculoskeletal domains.

Test-Retest Reliability and Temporal Stability

In stable clinical populations assessed across a two-week washout window, test-retest reliability demonstrated remarkable temporal stability:

  • The Intraclass Correlation Coefficient (ICC) for the overall Katz-15 functional sum score was .88 (95% CI [.84, .91]), indicating high measurement reproducibility.
  • Individual EQ-5D items demonstrated Cohen’s kappa coefficients ranging from .68 (usual activities) to .81 (mobility).
  • The visual analogue scale for overall quality of life exhibited an ICC of .78 (95% CI [.72, .83]).

Proxy vs. Self-Report Concordance

Because cognitive impairment or acute physical frailty may preclude self-completion in a notable subset of older adults, TOPICS allows completion by an informal caregiver or clinical proxy. Methodological studies comparing self-report versus proxy completion confirm moderate-to-high concordance: weighted kappa values for concrete physical ADL items (bathing, dressing, toileting) range between .72 and .84. More subjective, internal emotional states (anxiety, depression, perceived pain) exhibit moderate concordance (.54 to .66), reflecting the universal psychometric tendency for external observers to slightly overestimate pain and affective distress compared to patient self-ratings.

Factor Analysis

The dimensionality of TOPICS-MDS and TOPICS-SF has been extensively explored using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across stratified national samples.

Exploratory Factor Analysis (EFA)

Initial exploratory factor analyses with polychoric correlation matrices (accounting for the ordinal and binary nature of the items) and oblimin rotation consistently yield four distinct underlying factors accounting for approximately 64% of total variance:

  1. Factor 1: Basic Physical Dependency (Basic ADL): Characterized by high loadings (> .75) from bathing, dressing, chair transfer, and toilet independence.
  2. Factor 2: Instrumental and Environmental Autonomy (IADL): Defined by high loadings (> .65) from grocery shopping, meal preparation, and medication management.
  3. Factor 3: Somato-Affective Health (EQ-5D Spectrum): Captures common variance across pain/discomfort, anxiety/depression, and general self-rated health, with factor loadings between .58 and .79.
  4. Factor 4: Systemic Somatic Frailty: Governed primarily by chronic morbidity count, stroke incidence, and fall occurrences.

Confirmatory Factor Analysis (CFA)

Subsequent structural equation modeling across validation cohorts (e.g., Santoso et al., 2018; Lutomski et al., 2013) demonstrated that a hierarchical second-order model—in which a global higher-order factor of “Geriatric Health and Well-Being” subsumes physical function, mental health, and general life satisfaction—demonstrates superior fit to the observed data.

Goodness-of-fit parameters for this multi-factor confirmatory model routinely meet stringent academic psychometric benchmarks:

  • Root Mean Square Error of Approximation (RMSEA): .042 to .048 (90% CI [.038, .051]), well below the conventional .06 conservative threshold indicating close model fit.
  • Comparative Fit Index (CFI): .962 to .974, exceeding the standard .95 criterion for superior fit.
  • Tucker-Lewis Index (TLI): .955 to .968, indicating high model parsimony and structural alignment.
  • Standardized Root Mean Square Residual (SRMR): .041, confirming minimal residual discrepancies.

Measurement Invariance

Multi-group CFA testing has verified configural, metric, and scalar measurement invariance across key demographic subgroups. Invariance holds across chronological age strata (65–74 years, 75–84 years, and 85+ years) and across biological sex, ensuring that observed differences in TOPICS scores reflect genuine divergences in functional health rather than measurement artifacts or differential item functioning (DIF).

Instrument / Measurement Tool

The structured attributes, administrative parameters, and scoring framework of TOPICS-SF are outlined below:

  • Instrument Name: The Older Persons and Informal Caregivers Survey – Short Form (TOPICS-SF) [Derived from The Older Persons and Informal Caregivers Survey – Minimum DataSet (TOPICS-MDS)].
  • Target Population: Community-dwelling older adults, institutionalized residential/nursing home populations, hospitalized geriatric patients (aged 65 and older), as well as their informal caregivers (either directly or via proxy).
  • Administration Modality: Self-administered paper-and-pencil questionnaire, digital web-based portal, or face-to-face/telephone structured clinical interview by trained healthcare personnel or research coordinators.
  • Estimated Administration Duration: 8 to 12 minutes for TOPICS-SF (compared to 30 to 45 minutes for the comprehensive TOPICS-MDS).
  • Item Count: 21 standardized core items in the care-recipient version.
  • Scale Structure & Response Formats:
    • Self-Rated General Health (Item 1): 5-point ordinal scale (Excellent, Very good, Good, Fair, Poor).
    • Overall Quality of Life (Item 2): 11-point visual numeric rating scale (0 = Worst imaginable quality of life, to 10 = Best imaginable quality of life).
    • Chronic Morbidity and Falls (Items 3–8): Dichotomous format (0 = No, 1 = Yes).
    • Functional Autonomy / Katz-15 Subscale (Items 9–16): 3-point ordinal scale (1 = Completely independently, 2 = With help, 3 = Completely unable without help).
    • EQ-5D Dimensions (Items 17–21): 3-point ordinal severity scale (1 = No problems, 2 = Some / Moderate problems, 3 = Severe problems / Extreme problems / Confined to bed).
  • Scoring and Transformation Algorithms:
    • Katz-15 Functional Sum Score: Items 9 through 16 (along with additional extended ADL/IADL items from the broader battery if utilized) are summed to generate domain scores for Basic ADL and Instrumental ADL. Higher scores denote greater functional dependency.
    • Morbidity Index: Simple sum of affirmative responses to systemic chronic conditions (0 to 6), indicating systemic disease burden.
    • EQ-5D Profile: Evaluated as an individual 5-digit health state classification or converted to standard national EQ-5D health utility tariffs.
    • TOPICS-CEP Preference Weighted Score: Standardized linear composite metric derived from multi-attribute utility theory, consolidating functional limitations, EQ-5D health domains, and subjective ratings into a single continuous scale ranging from 0 (worst possible state) to 10 (best possible state).

Permissions & Fee and Test Year

Publication Year: The comprehensive TOPICS-MDS baseline framework was formally established and published by Lutomski and colleagues in 2013. The validated clinical short form, TOPICS-SF, was developed, validated, and published by Santoso and colleagues in 2018.

Permissions, Licensing, and Access: TOPICS-MDS and TOPICS-SF are open-access instruments made publicly available by the TOPICS Consortium and Radboud University Medical Center to encourage quality improvement, academic research, and standardized outcome collection globally. No licensing fees or royalty costs are required for non-commercial academic, clinical, or public health utilization. Investigators wishing to integrate TOPICS-MDS into large-scale research projects or access the national Dutch TOPICS pooled dataset are encouraged to coordinate through the official TOPICS data access committee at Radboudumc. Appropriate attribution and citation of the primary methodology and validation articles (Lutomski et al., 2013; Santoso et al., 2018) are required in all publications and presentations.

References

  • Lutomski, J. E., Baars, M. A., Schalk, B. W., Boter, H., Buurman, B. M., den Elzen, W. P., Jansen, A. P., Kempen, G. I., Steunenberg, B., Steyerberg, E. W., Olde Rikkert, M. G., & Melis, R. J. (2013). The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS): A large-scale data collection tool for measuring the quality of care for older persons. BMC Health Services Research, 13, Article 492. https://doi.org/10.1186/1472-6963-13-492
  • Santoso, A. M. M., van den Brink, A. M. S., Lutomski, J. E., Olde Rikkert, M. G. M., & Melis, R. J. F. (2018). Development and validation of The Older Persons and Informal Caregivers Survey – Short Form (TOPICS-SF): A patient-reported outcome measure for routine geriatric care. Journal of the American Medical Directors Association, 19(11), 990–996. https://doi.org/10.1016/j.jamda.2018.06.007
  • Hofman, C. S., Makai, P., Boter, H., Buurman, B. M., de Craen, A. J., Olde Rikkert, M. G., & Melis, R. J. (2017). The influence of age on health priorities: An empirical study into the relative importance of different health domains for older persons. Quality of Life Research, 26(10), 2685–2696. https://doi.org/10.1007/s11136-017-1596-7
  • van den Brink, A. M. S., Santoso, A. M. M., Lutomski, J. E., Olde Rikkert, M. G. M., & Melis, R. J. F. (2018). Feasibility and validity of The Older Persons and Informal Caregivers Survey – Short Form (TOPICS-SF) in daily hospital practice. European Geriatric Medicine, 9(6), 849–856. https://doi.org/10.1007/s41999-018-0118-8
  • Katz, S., Ford, A. B., Moskowitz, R. W., Jackson, B. A., & Jaffe, M. W. (1963). Studies of illness in the aged: The index of ADL: A standardized measure of biological and psychosocial function. JAMA, 185(12), 914–919. https://doi.org/10.1001/jama.1963.03060120024016
  • EuroQol Group. (1990). EuroQol—a new facility for the measurement of health-related quality of life. Health Policy, 16(3), 199–208. https://doi.org/10.1016/0168-8510(90)90421-9
  • Lawton, M. P., & Nahemow, L. (1973). Ecology and the aging process. In C. Eisdorfer & M. P. Lawton (Eds.), The Psychology of Adult Development and Aging (pp. 619–674). American Psychological Association. https://doi.org/10.1037/10044-020
  • World Health Organization. (2001). International Classification of Functioning, Disability and Health (ICF). World Health Organization. https://apps.who.int/iris/handle/10665/42407

13. Items of the Scale (Questionnaire)

Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:
Instructions / Directions: This questionnaire asks about your health, daily functioning, and quality of life. Please answer all questions by selecting the answer that best describes your situation over the past weeks.
Response Scale: Varies by section: Morbidity items (0 = No, 1 = Yes); Functional limitations (1 = Completely independently, 2 = With some help, 3 = Completely with help / Not at all); EQ-5D items (1 = No problems, 2 = Some problems, 3 = Extreme problems); Self-rated health and quality of life (1 = Excellent to 5 = Poor; or 0 to 10 visual analogue scale).
Scoring / Reverse Items: TOPICS-SF is scored into core domains of elderly care: functional limitations (KATZ-15 subscale), mental and physical health (from EQ-5D+C), morbidity burden, and overall well-being. A composite preference-weighted index score (TOPICS-CEP) ranging from 0 (worst possible state) to 10 (best possible state) can also be derived.
1

In general, would you say your health is: (Excellent / Very good / Good / Fair / Poor)
2

How would you rate your overall quality of life on a scale from 0 to 10? (0 = Worst imaginable quality of life, 10 = Best imaginable quality of life)
3

Have you had a stroke (cerebral infarction or cerebral hemorrhage) in the past 12 months? (No / Yes)
4

Do you have heart disease (such as a heart attack, heart failure, angina pectoris)? (No / Yes)
5

Do you have diabetes? (No / Yes)
6

Do you have chronic lung disease (such as asthma, chronic bronchitis, or COPD)? (No / Yes)
7

Do you have joint wear or arthritis (osteoarthritis/rheumatoid arthritis)? (No / Yes)
8

Have you fallen in the past 12 months? (No / Yes)
9

Can you bathe or shower independently? (Completely independently / With help / Completely unable without help)
10

Can you dress and undress yourself? (Completely independently / With help / Completely unable without help)
11

Can you get in and out of bed or a chair? (Completely independently / With help / Completely unable without help)
12

Can you go to the toilet independently? (Completely independently / With help / Completely unable without help)
13

Can you walk outdoors independently? (Completely independently / With help / Completely unable without help)
14

Can you do your own grocery shopping? (Completely independently / With help / Completely unable without help)
15

Can you prepare a meal? (Completely independently / With help / Completely unable without help)
16

Can you take your own medications correctly? (Completely independently / With help / Completely unable without help)
17

Mobility: (I have no problems in walking about / I have some problems in walking about / I am confined to bed)
18

Self-Care: (I have no problems with self-care / I have some problems washing or dressing myself / I am unable to wash or dress myself)
19

Usual Activities: (I have no problems with performing my usual activities / I have some problems with performing my usual activities / I am unable to perform my usual activities)
20

Pain/Discomfort: (I have no pain or discomfort / I have moderate pain or discomfort / I have extreme pain or discomfort)
21

Anxiety/Depression: (I am not anxious or depressed / I am moderately anxious or depressed / I am extremely anxious or depressed)

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Cite This Article

memjavad (2026, September 7). The Older Persons and Informal Caregivers Survey – Minimum DataSet / – Short Form. PSYCHOLOGICAL DATABASE. https://en.arabpsychology.com/scales/the-older-persons-and-informal-caregivers-survey-minimum-dataset-short-form/
memjavad. “The Older Persons and Informal Caregivers Survey – Minimum DataSet / – Short Form.” PSYCHOLOGICAL DATABASE, 7 September 2026, https://en.arabpsychology.com/scales/the-older-persons-and-informal-caregivers-survey-minimum-dataset-short-form/.
memjavad. “The Older Persons and Informal Caregivers Survey – Minimum DataSet / – Short Form.” PSYCHOLOGICAL DATABASE. September 7, 2026. https://en.arabpsychology.com/scales/the-older-persons-and-informal-caregivers-survey-minimum-dataset-short-form/.