Abstract
Background
Longitudinal observational studies have found an association between vision impairment and accelerated decline in cognition. However, no randomised trials have assessed the possible benefit of vision correction on cognitive change. We present the protocol for a three-year randomised controlled trial designed to assess the impact of spectacles for distance and/or near vision correction on cognitive change among community-dwelling elderly participants in India.
Methods
Cognitive Level Enhancement through Vision Exams and Refraction (CLEVER) is a single-centre, open-label, parallel-group, individually-randomised trial. Participants (760 total, 380 in each arm) aged ≥ 60 years with correctable vision impairment at distance and/or near (presenting visual acuity < 6/18 in the better-seeing eye and improving to > = 6/18 with spectacles and/or presenting near vision worse than N6 at 40 cm and improving to N6 with spectacles), normal hearing (able to repeat at least three out of six words whispered from a 50 cm distance in the better ear) and normal cognition (Hindi Mini-mental Status Examination score > 18/31) will be enrolled. After a comprehensive eye examination, intervention group participants will receive distance, near, or bifocal spectacles, while controls will receive a prescription and spectacles at the end of the trial. The primary outcome will be the three-year change in Longitudinal Aging Study in India–Diagnostic Assessment of Dementia (LASI DAD) global cognitive factor score, with and without adjustment for baseline score, age, gender, education and other potential confounders.
Conclusion
CLEVER is designed to assess the effectiveness of spectacles as a low-cost intervention to prevent or delay cognitive decline.
Trial registration
This trial is registered with ClinicalTrials.gov, number NCT05458323, February 15, 2023.
Supplementary Information
The online version contains supplementary material available at 10.1186/s13063-025-08813-x.
Keywords: Cognitive decline, Correctable vision loss, Dementia, Elderly, LASI-DAD, Randomised controlled trial, India
Background
Dementia is a major health problem, affecting more than 57.4 million people globally [1]. By 2050, dementia or cognitive impairment will affect an estimated 152 million persons worldwide [1]. The increase in prevalence is greater in low- and middle-income countries (LMICs) such as India, because of relatively faster ageing and increases in life expectancy [2, 3]. Dementia increases the risk of mortality and adversely affects individuals and families [4, 5]. The global cost of dementia care is predicted to exceed US$2 trillion by 2030 [6]. The annual per capita cost for dementia care in LMICs ranges from US$590 for mild cases to US$25,500 for severe ones [7]. A substantial economic burden for dementia care is also reported in India [8]. The Alzheimer’s and Related Disorders Society of India estimated the total societal cost of dementia to be US$3.4 billion in 2010, rising to 0.5% of India’s gross domestic product by 2050 [9].
Vision impairment (VI) is also an important public health issue, affecting a billion people worldwide [10]. It is more prevalent in individuals aged ≥ 60 years, affecting one out of every three older adults in India [11]. Vision impairment adversely affects quality of life and visual functioning [12]. Moreover, it results in substantial economic productivity loss [13]. Approximately 80% of VI can be addressed with low-cost interventions such as spectacles and/or cataract surgery [10]. A recent RCT among Indian tea pickers reported a 22% increase in productivity when spectacles were provided [14].
Both dementia and VI are more common in elderly persons [15]. In India, the population aged > = 60 years is estimated to rise from 8% in 2015 to 19.1% in 2050 [16, 17]. Significant increase in the prevalence of both dementia and VI are expected to accompany this demographic change [15]. Therefore, research to identify modifiable risk factors and low-cost interventions to slow cognitive decline and prevent mild cognitive impairment, a potential precursor to dementia, is particularly important for India.
Observational studies have consistently found a positive association between vision impairment and cognitive decline [18]. The hypothesized pathways through which VI may influence cognitive health include increases in social isolation, physical inactivity, depression and changes in brain structure and increased cognitive load [5]. However, only experimental interventional study designs, such as randomised controlled trials (RCTs), can establish a cause-and-effect relationship between vision care and cognitive change. No such trials have yet been done.
The Cognitive Level Enhancement through Vision Exams and Refraction (CLEVER) trial aims to assess the impact of spectacles for distance and/or near vision correction on cognitive change among community-dwelling elderly persons in Telangana, India, over three years. This trial also seeks to understand the cost-effectiveness and impact of near and distance spectacles on quality of life, falls, depression, social interaction, and physical activity among study participants. The current report describes the CLEVER trial protocol.
Methods
Ethics approval and governance
The Institutional Review Boards (IRBs) of the Hyderabad Eye Research Foundation, LV Prasad Eye Institute (LVPEI [LEC-BHR-P-09–746]), the National Institute of Mental Health and Neurosciences (NIMHANS) [NIMHANS/ 36th 1EC (BS & NS DIV.Y)/2022], and Queen’s University Belfast (QUB) [MHLS22-13] have approved the trial protocol. Written informed consent will be obtained from all participants before enrolment into the trial. CLEVER will be conducted following the tenets of the Declaration of Helsinki and regulations set forth by governing bodies including the Indian Council of Medical Research (ICMR). The Health Ministry’s Screening Committee clearance for projects involving international collaborations has also been obtained as mandated by the ICMR.
The following oversight committees are in place to ensure rigorous monitoring of trial progress, including safety, efficacy, protocol adherence, and compliance with ethical, regulatory, and sponsor requirements:
Trial Management Group (TMG)
The TMG oversees day-to-day trial management. It meets fortnightly, and includes the Chief Investigator (CI), local lead, collaborators, representatives from the Northern Ireland Clinical Trials Unit (NICTU), LVPEI Clinical Trials Unit (LVPEI CTU), project manager, qualitative lead, and research students.
Trial Steering Committee (TSC)
An independent TSC acts on behalf of the sponsor and meets at least annually to oversee conduct of the trial. The CLEVER TSC comprises six independent members with expertise in public health, psychiatry, geriatrics, and study designs, alongside a Patient and Public Engagement (PPI) representative to ensure participant-centred perspectives.
Data Monitoring and Ethics Committee (DMEC)
This multidisciplinary committee includes trialists, statisticians, public health specialists, ophthalmologists, and one cognitive neurologist. The DMEC meets at least annually, with meeting frequency adjusted as necessary. It evaluates participant safety, intervention efficacy, and trial conduct, providing recommendations to the TSC, sponsor, funder, and CI regarding trial continuation or modification.
Additionally, the LVPEI CTU, in coordination with the NICTU, conducts regular trial monitoring and audits as delegated by the sponsor, Queen’s University Belfast. Onsite visits are conducted at least quarterly, with additional visits as required to ensure compliance with the approved protocol, Good Clinical Practices (GCP), and data accuracy.
Management of protocol amendments will comply with the requirements of the sponsor (Queen’s University Belfast and their Research Ethics Committee [REC]), local IRBs (L V Prasad Eye Institute and NIMHANS), and the Indian Council of Medical Research (ICMR). Substantial amendments will require prior approval from QUB REC and LVPEI IRB, except in cases of urgent safety measures. Amendments will also be reported to ICMR in an annual progress report. Approved protocol amendments will be distributed by the LVPEI CTU to the research team for inclusion in the Investigator Site File. The team will be trained on these amendments, with documentation completed before implementation.
CLEVER is registered with ClinicalTrials.gov and the Clinical Trials Registry-India, and both registries will be updated with approved amendments. Any protocol deviations will be documented using a deviation/breach form, including an explanation and corrective/preventive actions. Deviations will be reported to QUB REC, local IRBs, and ICMR as per their standard procedures and in the annual progress report.
Trial design
CLEVER is a single-centre, open-label, parallel-group, individually-randomised controlled trial, designed to test the impact of immediate versus delayed provision of free spectacles on rates of cognitive change among community-dwelling elderly persons.
Participants
Community-dwelling elderly persons aged ≥ 60 years at the time of enumeration will be recruited from subdistricts in Ranga Reddy district in the South Indian state of Telangana (Fig. 1), according to the following criteria:
Fig. 1.
Map showing the study location (per-urban and rural location in Rangareddy district in Telangana state in India)
Inclusion
Age ≥ 60 years at the time of enumeration.
Resident in the household for > = 3 months and planning to reside in the local area for the trial duration.
Distance vision impairment (VI, presenting visual acuity [VA] < 6/18 in the better-seeing eye and improving to > = 6/18 with spectacles) and/or near VI (presenting near vision < N6 at 40 cm and improving to > = N6 with spectacles).
Independent mobility with or without the support of a walking stick.
Hindi Mini-mental Status Examination (HMSE) questionnaire score > 18 (out of 31) [19].
Willingness to participate, to be randomised to either study group, and to adhere to the protocol.
Exclusion criteria
Serious medical illness likely to result in loss to follow-up. Those less severely affected by conditions such as hypertension and/or diabetes will be eligible [20].
Failure on the whispered voice hearing screening test in the better ear (unable to repeat > = 3 out of 6 words whispered from behind the participant at a distance of 50 cm) [21, 22].
Sample size
Based on the three-year, un-intervened decline in LASI-DAD (Longitudinal Aging Study in India–Diagnostic Assessment of Dementia) global cognitive score from a cross-sectional study of similarly aged persons in India [23, 24], with 90% power at p = 0.05 (two-tailed) using a two-sample t-test and estimated annual follow-up loss of 13% based on our other studies in this demographic group in the region, 760 participants across the two study groups are sufficient to detect a 29% effect size. Using a conservative estimate that 10% of screened persons will be eligible, an estimated 7600 will need to be screened to recruit 760 participants.
Recruitment
Participants will be recruited through door-to-door household visits. Trained community eye health workers and social investigators will obtain written informed consent for preliminary screening after explaining study procedures. Each consenting participant will be assigned a unique identification number. The preliminary screening battery will include the following five components (Fig. 2):
Fig. 2.
Study flowchart showing various stages of non-clinical and clinical assessment
1) vision screening to identify correctable VI at distance and/or near. Improvement in distance vision with pinhole is considered correctable VI (which will be confirmed with refraction in the clinical exam); 2) Ascertainment of independent mobility status, 3) Systemic medical history; [20] 4) hearing screening [21, 22]; and 5) screening for cognitive impairment using HMSE [19].
Social investigators will obtain written informed consent from all those eligible on the preliminary screening battery. Participants will be interviewed in their households and given appointments to visit the study clinic at the LVPEI centre (Shirin Etian & Tara Brown Eye Centre) in Kismatpur village, Ranga Reddy District, Telangana, for baseline clinical examination and cognitive testing [25, 26]. Those unable to visit the study site will be examined in temporary clinics set up in their vicinity.
Primary outcomes
Global cognitive factor scores, the primary outcome measure, will be calculated using cognitive test data from the LASI-DAD battery, administered at baseline, and 12, 24, and 36 months later. The LASI-DAD battery of cognitive and neuropsychological tests assesses several domains of cognitive function and has been validated for use in India, including in Telangana [25, 26].
Secondary outcomes
These include 36-month change in quality of life using the World Health Organization Quality of Life Brief Version (WHOQOL-BREF) [27], visual functioning (21-item Rasch version of the Indian Vision Function Questionnaire) [28], depression (Patient Health Questionnaire-9) [29], physical activity (International Physical Activity Questionnaire) [30], social interaction and networking (Social Networking Index questionnaire) [24], and falls risk (Quick Screen falls assessment) [31]. The trial will also assess the cost-effectiveness of the intervention as total intervention cost per quality-adjusted life years gained in the intervention group. The Client Service Receipt Inventory will be used to assess the resource use for medical care by the study participants [32] (Table 1).
Table 1.
Schedule of assessments with details on location, personnel, and frequency
Instrument name | Details | Baseline | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|
1 | Personal and demographic information questionnaire | It includes age/gender, level of education, marital status, and income | ✓ | |||
2 | World Health Organization Quality of Life Brief Version (WHOQOL-BREF) [27] | It has 26 items and covers four domains of quality of life: a) physical health, b) psychological well-being, c) social relationships, and d) environment | ✓ | ✓ | ✓ | ✓ |
3 | Indian Vision Function Questionnaire [28] | It has 20 questions covering visual functioning and mobility domains | ✓ | ✓ | ✓ | ✓ |
4 | Patient Health Questionnaire (PHQ9) for depression [29] | It has nine questions with scores of 0–3 points per question, for a total score of 0–27 points | ✓ | ✓ | ✓ | ✓ |
5 | Social Networking Index questionnaire [24] | It has 12 questions that assess the number of high-contact roles (network diversity), number of people in social networks, and embedded networks | ✓ | ✓ | ✓ | ✓ |
6 | International Physical Activity Questionnaire (IPAQ) Short form [30] | It has 7 questions and measures a 7-day recall of physical activities | ✓ | ✓ | ✓ | ✓ |
7 | Risk factors (alcohol consumption and smoking) | Includes questions on present and past smoking and alcohol consumption | ✓ | ✓ | ✓ | ✓ |
8 | Hindi Mini mental State Examination (HMSE) [19] | It is a 22 questions-based scale with a maximum score of 31 | ✓ | |||
9 | Ocular history and systemic health questionnaire | It includes questions on previous surgeries, use of spectacles, and duration of use. Systemic health questionnaire includes information on hypertension, diabetes and other non-communicable diseases | ✓ | ✓ | ✓ | ✓ |
10 | Longitudinal Aging Study in India–Diagnostic Assessment of Dementia; LASI-DAD cognitive test battery [25, 26] | It covers the key cognitive domains: memory, attention/speed, orientation, language function, visuospatial skills, executive function, numerical ability, and retrieval fluency | ✓ | ✓ | ✓ | ✓ |
11 | Client Service Receipt Inventory for healthcare costs [32] | This collects information on the whole range of services, including estimating the costs of service receipt | ✓ | ✓ | ✓ | ✓ |
12 | Clinical Falls Risk Assessment: Quick screen questionnaire [31] | It assesses five factors related to falls: history of falls in the last 12 months, regular use of four or more medications, vision, peripheral sensation, balance, time reaction, and lower limb strength | ✓ | ✓ | ✓ | ✓ |
Study team
A multidisciplinary team, including vision care professionals (ophthalmologist, optometrists and vision technicians), neuropsychologists and psychologists, social investigators, and community eye health workers will conduct this trial. The logistics of the trial, including appointments, management of the trial site, treatment allocation based on clinical trial unit (CTU) recommendation, and tracking of spectacles compliance, will be organized by a trial coordinator. The principal investigators (NC, RCK) are responsible for the scientific and administrative aspects of the trial, with the support of the TMG.
Interviews
Trained investigators will conduct personal interviews in the participant’s native language (Telugu or Hindi). Adequate time will be allotted for participants to rest between assessments. The same investigator will conduct the entire interview for each participant.
Clinical examination
This includes the following components, 1) external examination (including ocular motility and alternate cover test); 2) assessment of monocular near (using a logarithm of minimum angle of resolution [logMAR] chart at 40 cm) and distance visual acuity (VA, unaided, best-corrected, pinhole, and with existing spectacles if available, with a logMAR chart at 3 m using tumbling E optotypes, at an illumination of ≥ 180 lx measured with a light meter); 3) objective and subjective refraction, for participants with presenting distance VA worse than 6/9 or near VA worse than N6 in either eye; 4) slit-lamp biomicroscopy and assessment of the lens status after pupil dilation (SL 120 Carl Zeiss Meditec, Inc., Dublin, CA); 5) applanation tonometry (Carl Zeiss Meditec, Inc., Dublin, CA); 6) fundus examination and imaging with pupil dilation. In addition, seven field fundus photographs (Centervue, Italy) and lens photography with optical section and retro illumination view on a slit lamp camera (Haag-Streit Imaging module 910, Haag-Streit, Switzerland) will be captured. Retinal Optical Coherence Tomography (Cirrus Optical Coherence Tomographer, Carl Zeiss Meditec, Jena, Germany), with 5-line raster and macular cube will be performed on all participants.
Serum haemoglobin A1C (HbA1C) levels will be assessed on all participants (NycoCard reader, Abbott Diagnostics Technologies AS, Oslo, Norway) to assess blood glucose control over recent months. Inter-examiner reliability will be assessed for measurement of VA and refraction. Pilot testing of all examination procedures will be carried out with 20 eligible participants before beginning the main trial.
Cognitive examination
The complete LASI-DAD neuropsychological test battery will be performed in the Telugu or Hindi languages. It assesses the following domains, 1) Orientation (Community Screening Instrument for Dementia); 2) visuospatial (constructional praxis); 3) language fluency (retrieval fluency); 4) immediate and delayed memory (word recall); 5) executive functions (Go-No-Go task); and 6) decision-making and judgment (judgement and problem-solving) [25, 26]. Psychologists will be trained to administer the cognitive test battery on patients and healthy older adults at the National Institute of Mental Health & Neuro Sciences (NIMHANS) under the supervision of the Clinical Psychologist/Neuropsychologist before performing the assessments on participants in the pilot and main trial.
Intervention
All participants in the intervention group will receive free near and/or distance spectacles plus instructions on their use within two weeks of the examination, with annual replacement in case of loss, breakage or change in power such that VA falls below the enrolment criteria. Adherence with use of spectacles will be assessed in both study groups through phone calls made every three months and half yearly home visits. Intervention group participants adherent with spectacle wear will be rewarded through nonfinancial incentives such as vouchers for diagnostic tests and other utility items at regular intervals. There will be no special criteria for discontinuing or modifying allocated interventions. No attempts will be made to prevent control participants from obtaining spectacles outside the study based on the prescriptions provided.
Controls
All participants randomised to the control group will receive a prescription for spectacles at baseline, as is the standard of care in the area, and will receive near and/or distance spectacles at no cost at study closeout.
Randomisation, allocation and masking
The randomisation sequence will be generated by the trial statistician in the LVPEI CTU using an online randomisation tool (https://www.sealedenvelope.com). Stratified randomisation will be done based on gender (male/female), age (below and above median), education level (below and above median), and baseline HMSE (below and above median). Group allocation will be concealed from the trial coordinator and field team until a potential participant is determined eligible. Trial personnel will not be masked to participants’ treatment assignment due to practical difficulties in assessing the main trial outcome without study spectacles being worn. Masking of participants with use of zero-power spectacles among controls is not considered ethical in this setting.
Monitoring and quality control
Adherence to study protocols will be monitored by random visits to the clinic sites and the communities where preliminary screening takes place. The investigators will review all case report forms before data entry to ensure completeness. Protocol deviations, defined as variations from the IRB-approved protocol, will be fully documented, including corrective measures taken, and will be reported to the DMEC and the IRBs approving the study protocol.
All team members are trained thoroughly on study procedures, as documented by the training log. Investigators visit the field biweekly to review the performance of staff. Retraining and orientation are provided every six months.
Data management and analysis plan
Data will be collected on paper forms initially and then entered into an electronic database developed in Microsoft Access (Microsoft Corporation, Redmond, Washington, USA) at the data centre at Gullapalli Pratibha Rao International Centre for Advancement of Rural Eye care in Hyderabad, Telangana, India. Data will be securely stored in encrypted cloud-based institute servers. Personal data will be stored in a different database with access restricted to primary investigators. Data will be analysed at the end of the trial when all follow-up assessments are completed. All randomised participants will be assessed based on the intention-to-treat principle in the main analysis. Per-protocol analysis will also be conducted as secondary analysis, analysing participants according to treatment they actually received. No formal interim analysis will be done for the primary outcome measure.
Baseline characteristics and follow-up measurements will be summarised as mean and standard deviation, median and inter-quartile range, or numbers and frequencies (%) as appropriate, depending on the scale and distribution of measurements. Histograms or Q-Q plots will be used to assess the normality of all continuous variables.
Global cognitive factor scores for our study population will be calculated using the cognitive test data from the LASI-DAD battery. This calculation is similar to that performed in the ACHIEVE trial, which investigated the impact of hearing aids on cognitive decline [33]. In ACHIEVE, the global cognitive factor score was the primary outcome measure calculated using the ARIC (Atherosclerosis Risk in Communities) cognitive battery [33]. The between-group difference in three-year change in LASI-DAD global cognitive score (primary outcome) will be calculated. A linear mixed-model regression analysis with restricted maximum likelihood estimation will be used to assess between-group differences in change in LASI-DAD global cognitive score over time after adjusting for potential confounders (baseline cognitive score, age, sex, education, visual function, quality of life, depression, falls, social interaction, and physical activity).
Three-year change from baseline in quality of life, visual functioning, depression, falls, social interaction and networking, and physical activity will be the secondary outcomes. Rasch analysis will be conducted to derive interval scores from quality of life and vision-related quality-of-life instruments. A mixed-effects binomial regression with a log link will be used to estimate the relative risk, and a binomial model with an identity link for estimating the risk difference will be used to assess between-group differences in change in depression. A mixed-effects linear regression with an identity link will be used to estimate the between-group mean difference in change in falls. Participants will be placed into three categories of physical activity and social interaction for these analyses as previously described [30, 34].
The cost-effectiveness analysis will estimate the expected incremental cost per unit difference in the cognitive factor scores between the intervention and the control groups. A health and social care perspective will be used for the analysis. A Markov model will be developed, allowing the comparison of the CLEVER intervention with alternative interventions for preventing cognitive decline. An “in-trial” analysis that compares the costs and outcomes of the two study groups for the time horizon of the trial will be conducted. Multinomial logistic regression will be used to adjust for potential confounders. Odds ratios and their 95% confidence intervals will be reported.
Statistical significance of all results will be assessed at the conventional level of p < 0.05 (two-tailed). Stata (V.16, Stata Corp, College Station, Texas, USA) will be used for all statistical analyses.
Discussion
CLEVER is the first trial anywhere to investigate the potential cause-and-effect relationship between provision of spectacles and the rate of cognitive decline in an elderly population. Spectacles are one of the most cost-effective interventions in all of health care, and uncorrected near and distance refractive error are the most common cause of VI world-wide. If spectacles are proven to slow cognitive decline, then service delivery programs can be developed to address the twin public health problems of VI and cognitive impairment. The impact on the health of an aging global population will be substantial, especially for the 70% living in LMICs, who currently lack proven, low-cost treatments to delay or prevent dementia.
The multidisciplinary team of specialists, including ophthalmologists, optometrists, cognitive neurologists, social investigators, and neuropsychologists is an added strength of the trial.
Conclusions
The randomised, controlled design of CLEVER will provide robust evidence for the impact of low-cost vision care on cognitive health. The information gained from a positive trial result would contribute significantly to the goal of healthy aging in India and other LMICs.
Supplementary Information
Acknowledgements
The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) cognitive test battery is the intellectual property of the LASI-DAD team. University of Southern California on behalf of the principal investigator, Dr. Jinkook Lee, holds the copyright for the cognitive test battery in Hindi, Assamese, Bengali, Gujarati, Kannada, Malayalam, Marathi, Odiya, Punjab, Tamil, Telugu, and Urdu (USC Invention Number 2019-103). The development and validation of the LASI-DAD cognitive test battery was funded by the US National Institute on Aging (R01AG051125, U01AG065958), National Institutes of Health.
Trial sponsor
Queen’s University Belfast (QUB), UK.
Abbreviations
- CLEVER
Cognitive Level Enhancement through Vision Exams and Refraction
- CSRI
Client Service Receipt Inventory
- CTU
Clinical trial unit
- DMEC
Data Monitoring and Ethics Committee
- logMAR
Logarithm of minimum angle of resolution
- LASI-DAD
Longitudinal Aging Study in India-Diagnostic Assessment of Dementia
- LVPEI
L V Prasad Eye Institute
- HbA1C
Haemoglobin A1C
- HMSE
Hindi Mini-mental Status Examination
- IPAQ
International Physical Activity Questionnaire
- LMICs
Low- and middle-income countries
- NIMHANS
National Institute of Mental Health and Neurosciences
- OCT
Optical Coherence Tomography
- PHQ9
Patient Health Questionnaire-9
- QUB
Queen’s University Belfast
- SNI
Social Networking Index
- VA
Visual acuity
- VI
Vision impairment
- WHOQOL-BREF
World Health Organization Quality of Life Brief Version
Authors’ contributions
NC, RCK, SM, GM, ALM and SA secured the funding; SM drafted the manuscript; all authors were involved in protocol development, reviewed the manuscript and provided input for revision. All authors approved the final version of the manuscript. The funders had no role in decisions about the submission of trial manuscripts, including this protocol.
Funding
This work was supported by Wellcome Trust Investigator Award [222490/Z/21/Z] awarded to Dr. Nathan Condon, Queen’s University Belfast, Belfast, UK, and Dr. Rohit C Khanna, L V Prasad Eye Institute, Hyderabad, India.
Data availability
Not applicable.
Declarations
Ethics approval and consent to participate
The institutional review boards (IRBs) of the Hyderabad Eye Research Foundation, L V Prasad Eye Institute (LVPEI [LEC-BHR-P-09-746], the National Institute of Mental Health and Neurosciences (NIMHANS) [NIMHANS/ 36th 1EC (BS & NS DIV.Y)/2022], and Queen’s University Belfast (QUB) [MHLS22-13] have approved the trial protocol. Written informed consent will be obtained from all participants before enrolment into the trial. CLEVER will be conducted following the tenets of the Declaration of Helsinki and regulations set forth by governing bodies including the Indian Council of Medical Research. The Health Ministry’s Screening Committee clearance for projects involving international collaborations has also been obtained as mandated by the India Council for Medical Research.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Srinivas Marmamula and Suvarna Alladi denotes co-first authors.
Contributor Information
Rohit C. Khanna, Email: rohit@lvpei.org
Nathan Congdon, Email: ncongdon1@gmail.com.
References
- 1.Nichols E, Steinmetz JD, Vollset SE, Fukutaki K, Chalek J, Abd-Allah F, Abdoli A, Abualhasan A, Abu-Gharbieh E, Akram TT. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. Lancet Public Health. 2022;7(2):e105–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ravindranath V, Sundarakumar JS. Changing demography and the challenge of dementia in India. Nat Rev Neurol. 2021;17(12):747–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ehrlich JR, Ndukwe T, Chien S, Lee J. The Association of Cognitive and Visual Function in a Nationally Representative Study of Older Adults in India. Neuroepidemiology. 2021;55(2):126–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.GBD Collaborators, Nichols E, Abd‐Allah F, Abdoli A, Abosetugn AE, Abrha WA, Abualhasan A, Abu‐Gharbieh E, Akinyemi RO, Alahdab F. Global mortality from dementia: Application of a new method and results from the Global Burden of Disease Study 2019. Alzheimers Dement. 2021;7(1):e12200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Rafnsson SB, Orrell M, d’Orsi E, Hogervorst E, Steptoe A. Loneliness, Social Integration, and Incident Dementia Over 6 Years: Prospective Findings From the English Longitudinal Study of Ageing. J Gerontol Series B. 2017;75(1):114–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Wimo A, Guerchet M, Ali GC, Wu YT, Prina AM, Winblad B, Jönsson L, Liu Z, Prince M. The worldwide costs of dementia 2015 and comparisons with 2010. Alzheimers Dement. 2017;13(1):1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Mattap SM, Mohan D, McGrattan AM, Allotey P, Stephan BC, Reidpath DD, Siervo M, Robinson L, Chaiyakunapruk N. The economic burden of dementia in low- and middle-income countries (LMICs): a systematic review. BMJ Glob Health. 2022;7(4):e007409. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Rao GN, Bharath S. Cost of dementia care in India: delusion or reality? Indian J Public Health. 2013;57(2):71–7. [DOI] [PubMed] [Google Scholar]
- 9.Alzheimer’s & Related Disorders Society of India. The Dementia India Report: prevalence, impact, costs and services for Dementia. (Eds) Shaji KS, Jotheeswaran AT, Girish N, Srikala Bharath, Amit Dias, Meera Pattabiraman and Mathew Varghese. New Delhi: ARDSI; 2010.
- 10.Steinmetz JD, Bourne RRA, Briant PS, Flaxman SR, Taylor HRB, Jonas JB, Abdoli AA, Abrha WA, Abualhasan A, Abu-Gharbieh EG, et al. Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study. Lancet Glob Health. 2021;9(2):e144–60.33275949 [Google Scholar]
- 11.Marmamula S, Challa R, Khanna RC, Kunkunu E, Rao GN. Population-based Assessment of Vision Impairment in the Elderly Population in Telangana State in India - Policy Implications for Eye Health Programmes. Ophthalmic Epidemiol. 2021;28(2):144–51. [DOI] [PubMed] [Google Scholar]
- 12.Nutheti R, Shamanna BR, Nirmalan PK, Keeffe JE, Krishnaiah S, Rao GN, Thomas R. Impact of impaired vision and eye disease on quality of life in Andhra Pradesh. Invest Ophthalmol Vis Sci. 2006;47(11):4742–8. [DOI] [PubMed] [Google Scholar]
- 13.Mannava S, Borah RR, Shamanna BR. Current estimates of the economic burden of blindness and visual impairment in India: A cost of illness study. Indian J Ophthalmol. 2022;70(6):2141–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Reddy PA, Congdon N, MacKenzie G, Gogate P, Wen Q, Jan C, Clarke M, Kassalow J, Gudwin E, O’Neill C, et al. Effect of providing near glasses on productivity among rural Indian tea workers with presbyopia (PROSPER): a randomised trial. Lancet Glob Health. 2018;6(9):e1019–27. [DOI] [PubMed] [Google Scholar]
- 15.Vashist P, Senjam SS, Gupta V, Gupta N, Shamanna BR, Wadhwani M, Shukla P, Manna S, Yadav S, Bharadwaj A. Blindness and visual impairment and their causes in India: Results of a nationally representative survey. PLoS ONE. 2022;17(7):e0271736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.UNPF. United Nations Population Fund - The state of world population 2011. 2011.
- 17.Zheng DD, Swenor BK, Christ SL, West SK, Lam BL, Lee DJ. Longitudinal Associations Between Visual Impairment and Cognitive Functioning: The Salisbury Eye Evaluation Study. JAMA Ophthalmol. 2018;136(9):989–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Nagarajan N, Assi L, Varadaraj V, Motaghi M, Sun Y, Couser E, Ehrlich JR, Whitson H, Swenor BK. Vision impairment and cognitive decline among older adults: a systematic review. BMJ Open. 2022;12(1):e047929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ganguli M, Ratcliff G, Chandra V, Sharma S, Gilby J, Pandav R, Belle S, Ryan C, Baker C, Seaberg E, et al. A hindi version of the MMSE: The development of a cognitive screening instrument for a largely illiterate rural elderly population in india. Int J Geriatr Psychiatry. 1995;10(5):367–77. [Google Scholar]
- 20.Kelley AS. Defining “serious illness.” J Palliat Med. 2014;17(9):985. [DOI] [PubMed] [Google Scholar]
- 21.Pirozzo S, Papinczak T, Glasziou P. Whispered voice test for screening for hearing impairment in adults and children: systematic review. BMJ. 2003;327(7421):967. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Swan IR, Browning GG. The whispered voice as a screening test for hearing impairment. J R Coll Gen Pract. 1985;35(273):197. [PMC free article] [PubMed] [Google Scholar]
- 23.Angrisani M, Jain U, Lee J. Sex Differences in Cognitive Health Among Older Adults in India. J Am Geriatr Soc. 2020;Suppl 3(Suppl 3):S20-s28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Aung MN, Moolphate S, Aung TN, Katonyoo C, Khamchai S, Wannakrairot P. The social network index and its relation to later-life depression among the elderly aged >/=80 years in Northern Thailand. Clin Interv Aging. 2016;11:1067–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lee J, Banerjee J, Khobragade PY, Angrisani M, Dey AB. LASI-DAD study: a protocol for a prospective cohort study of late-life cognition and dementia in India. BMJ Open. 2019;9(7):e030300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lee J, Dey AB. Introduction to LASI-DAD: The Longitudinal Aging Study in India-Diagnostic Assessment of Dementia. J Am Geriatr Soc. 2020;68 Suppl 3(Suppl 3):S3-s4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.WHO. Development of the World Health Organization WHOQOL-BREF quality of life assessment The WHOQOL Group. Psychol Med. 1998;28(3):551–8. [DOI] [PubMed] [Google Scholar]
- 28.Gothwal VK, Bagga DK, Sumalini R. Rasch analysis of the Indian vision function questionnaire. Br J Ophthalmol. 2012;96(5):619–23. [DOI] [PubMed] [Google Scholar]
- 29.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95. [DOI] [PubMed] [Google Scholar]
- 31.Tiedemann A, Lord SR, Sherrington C. The development and validation of a brief performance-based fall risk assessment tool for use in primary care. J Gerontol A Biol Sci Med Sci. 2010;65(8):896–903. [DOI] [PubMed] [Google Scholar]
- 32.Beecham J, Knapp M. Costing psychiatric interventions. Measuring mental health needs. 2001;2:200–24.
- 33.Lin FR, Pike JR, Albert MS, Arnold M, Burgard S, Chisolm T, Couper D, Deal JA, Goman AM, Glynn NW, et al. Hearing intervention versus health education control to reduce cognitive decline in older adults with hearing loss in the USA (ACHIEVE): a multicentre, randomised controlled trial. Lancet. 2023;402(10404):786–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.World Health Organization. Global physical activity questionnaire analysis guide. 2012;6:2012.
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