Clinical Trials Logo

Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05458323
Other study ID # MHLS 22-13
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date January 19, 2024
Est. completion date December 31, 2028

Study information

Verified date March 2024
Source Queen's University, Belfast
Contact Nathan G Congdon, MD, MPH
Phone +44(0)289097
Email n.congdon@qub.ac.uk
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The investigators aim to conduct a mixed-method study in which a randomised controlled trial (RCT) and a descriptive qualitative study will be conducted. The RCT aims to determine whether free near and distance glasses provided to residents in Hyderabad, India, aged ≥ 60 years, with under- or un- corrected refractive error and normal baseline hearing and cognition (HMSE > 18), can improve quality of life, reduce falls, reduce depression, improve social interaction and physical activity cost-effectively over 36 months. The primary qualitative research aim is to a) contextualize the RCT with information on the milieu and culture in which the trial will be conducted; b) provide data on the lived experiences of older adults with reduced vision in the study area, and c) conduct a process evaluation of the trial. The primary outcome measure is the three-year change in cognition measured by LASI- DAD (Longitudinal Aging Study in India(LASI)- Diagnostic Assessment of Dementia(DAD) global cognitive score. Secondary Outcome Measures: Domain-specific cognitive function (orientation, executive function, language/fluency, memory), quality of life (WHOQOL BREF), self-reported visual functioning (INDVFQ), falls, mobility, depression (PHQ9), glasses compliance, cost-effectiveness (total intervention cost per additional quality-adjusted life years(QALY) gained in the intervention group), social interaction/isolation (Social Networking Index, SNI), self-reported physical activity (GPAQ). An additional secondary outcome will be LASI-DAD global cognitive score analysed by excluding any tests determined pre-hoc to depend on visual acuity.


Description:

The number of people living with dementia globally will rise from 50 million in 2017 to 131.5 million by 2050. The majority reside in low and middle-income countries (LMICs), where a 223% increase in the burden of dementia is expected from 2015 to 2050. The household cost of caring for demented relatives in India was £2.48 billion in 2013, where total expenses for dementia care will soon consume 0.5% of Gross Domestic Product (GDP). Despite the rapidly-growing burden of dementia in India, only 1 in 10 affected are diagnosed or treated. Proven preventive strategies are desperately needed to close the gap, and could reduce incidence by an estimated 41%, especially early, at the stage of mild cognitive impairment, which itself increases risk of dementia by 23-fold. Existing interventions have predominantly been evaluated in high-income countries (HIC), despite the acknowledged need for prevention in low resource settings. India's national dementia strategy, documented in the Alzheimer's and Related Society of India (ARDSI) Report (2018) and Dementia in India (2020), echo the WHO Dementia Global Action Plan (2017) in prioritising evidence-based approaches to reduce risk. The elderly, at greatest risk for cognitive disorders, also have the highest prevalence of vision impairment, which affects 2.2 billion persons globally. Growing longitudinal evidence links vision impairment and risk of cognitive decline, with population studies in the United States reporting a 55% increased 9-year risk of new cognitive impairment among visually impaired persons. Longitudinal studies elsewhere in the United States, France, Singapore and China report similar results. While vision impairment is a strong predictor of future cognitive performance, cognition is relatively weakly linked to future visual decline. Both distance impairment and impairment of near vision, a nearly universal part of aging without refractive correction, have been implicated. Observational studies also suggest vision care slows rates of cognitive decline by up to 50%. The association between vision loss and cognitive decline and dementia, while consistent and strong, is not well understood, and various causal pathways have been posited. These include common neurodegenerative or micro vascular aetiology, increased cognitive load, and limited social contact and physical activity due to poor vision, each independently shown to elevate risk of dementia. Studies investigating the role of vision correction in slowing cognitive decline will have a significant impact in developing strategies to reduce the burden of dementia. Design: single centre, open label, two-arm, parallel group, stratified, interventional randomised trial with a qualitative component Rationale: Despite considerable longitudinal observational evidence, there have been no randomised trials to investigate whether providing near and distance glasses can slow cognitive decline in the elderly. Proof of a causative association between vision correction and the slowing of cognitive decline is needed to potentiate investment in inexpensive vision care for prevention. This requires randomised trials, and none have yet been done. Study Plan: Eligibility assessments conducted for 5000-10000 participants. After providing the consent and meeting the eligibility criteria, 760 participants randomised to intervention and control groups. Annual follow-ups for 3 years for both groups. Lost to follow ups documented with reason for both groups. Missed data for both groups will be analysed as intention to treat (ITT) analysis. Primary outcomes: Three-year change in cognition measured by LASI-DAD global cognitive score. Secondary Outcome Measures: Domain-specific cognitive function (orientation, executive function, language/fluency, memory), quality of life (WHOQOL BREF), self-reported visual functioning (INDVFQ), falls, mobility, depression (PHQ9), glasses compliance, cost-effectiveness (total intervention cost per additional QALY gained in the intervention group), social interaction/isolation (Social Networking Index, SNI), self-reported physical activity (IPAQ). An additional secondary outcome will be LASI-DAD global cognitive score analysed by excluding any tests determined pre-hoc to depend on visual acuity. Hindi Mental State Examination, Medical history and comorbidity questionnaire, Hearing Questionnaire, Client Services Receipt Inventory. Statistical methods: The primary analysis will use a significance level of <0.05 and will compare the change in LASI-DAD global cognitive score (primary outcome, with sensitivity analysis including and excluding vision-dependent tests) between groups using a 2-sample t-test. Both the raw comparison, and the comparison adjusting for potential determinants of change in cognitive status, such as baseline cognitive score, age, sex and education (further covariates will be detailed in the SAP) using general linear models. Similar methods will be used for other time-points and secondary outcomes that are continuous data. Justification for sample size: Imputing three-year un-intervened decline in the outcome variable (LASI-DAD global score from cross-sectional, age-stratified data17, at 29% effect size (from the ACHIEVE study), 502 participants give 90% power at p = 0.05 (two-tailed) based on a two-sample test. With annual follow-up loss of 13% based on estimation from previous studies done in India, 760 total participants are needed across the two study groups. With 60% prevalence of uncorrected distance and/or near refractive error, the total number of people needing to be screened is estimated at approximately 1300. However, based on available and other local factors as evident from pre-pilot work, 5000-10000 participants may have to be screened for recruiting 760 participants for the trial.


Recruitment information / eligibility

Status Recruiting
Enrollment 760
Est. completion date December 31, 2028
Est. primary completion date November 30, 2027
Accepts healthy volunteers No
Gender All
Age group 60 Years and older
Eligibility Inclusion Criteria 1. Community dwelling 2. Residency a. Participants must plan to reside in the local area for the study duration 3. Presenting vision in the better eye due to uncorrected refractive error 1. Impaired distance vision less than 6/18 2. Near vision less than N6 at 40 cm 4. Presenting vision in the better eye due to under-corrected refractive error 1. Impaired distance vision less than 6/18 2. Near vision less than N6 at 40 cm 5. Willingness 1. to participate 2. to be randomized 3. to adhere to the protocol Exclusion criteria 1. Impaired baseline cognition a. HMSE score less than or equal to 18 2. Non-refractive causes of vision impairment 3. Severely impaired mobility 1. immobile 2. bedridden 3. wheelchair 4. using walker 4. Severe medical illness likely to limit the life span 1. Cancer 2. Heart disease 3. Stroke 4. HIV or AIDS 5. Chronic lung disease 6. Kidney disease 5. Hearing loss assessment 1. self-reported hearing impairment 2. inability to hear 3. fail in whisper test hearing screening(unable to repeat three out of six words)

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Free near and Distance Vision glasses
Intervention Description: All participants randomised to the intervention group will be provided with free near and/or distance spectacles based on the results of refraction.Glasses will be provided at the time of enrolment in the study.

Locations

Country Name City State
India L V Prasad Eye Institute Hyderabad Telangana

Sponsors (8)

Lead Sponsor Collaborator
Queen's University, Belfast Belfast Health and Social Care Trust, Clearly, Johns Hopkins University, L.V. Prasad Eye Institute, National Institute of Mental Health and Neuro Sciences, India, The George Institute, University of Michigan

Country where clinical trial is conducted

India, 

References & Publications (54)

Akl EA, Treweek S, Foy R, Francis J, Oxman AD; ReBEQI group. NorthStar, a support tool for the design and evaluation of quality improvement interventions in healthcare. Implement Sci. 2007 Jun 26;2:19. doi: 10.1186/1748-5908-2-19. — View Citation

Angrisani M, Jain U, Lee J. Sex Differences in Cognitive Health Among Older Adults in India. J Am Geriatr Soc. 2020 Aug;68 Suppl 3(Suppl 3):S20-S28. doi: 10.1111/jgs.16732. — View Citation

Arksey H, O'Malley L. Scoping studies: towards a methodological framework. International Journal of Social Research Methodology 2005;8:19-32

Aromataris E MZE. JBI Manual for Evidence Synthesis. JBI: Adelaide, Australia (2020). 2020

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 Aug 8;11:1067-74. doi: 10.2147/CIA.S108974. eCollection 2016. — View Citation

Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M; Medical Research Council Guidance. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008 Sep 29;337:a1655. doi: 10.1136/bmj.a1655. — View Citation

Development of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med. 1998 May;28(3):551-8. doi: 10.1017/s0033291798006667. — View Citation

Erlingsson C, Brysiewicz P. A hands-on guide to doing content analysis. Afr J Emerg Med. 2017 Sep;7(3):93-99. doi: 10.1016/j.afjem.2017.08.001. Epub 2017 Aug 21. — View Citation

Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975 Nov;12(3):189-98. doi: 10.1016/0022-3956(75)90026-6. No abstract available. — View Citation

Forero R, Nahidi S, De Costa J, Mohsin M, Fitzgerald G, Gibson N, McCarthy S, Aboagye-Sarfo P. Application of four-dimension criteria to assess rigour of qualitative research in emergency medicine. BMC Health Serv Res. 2018 Feb 17;18(1):120. doi: 10.1186/s12913-018-2915-2. — View Citation

Gambhir IS, Khurana V, Kishore D, Sinha AK, Mohapatra SC. A clinico-epidemiological study of cognitive function status of community-dwelling elderly. Indian J Psychiatry. 2014 Oct;56(4):365-70. doi: 10.4103/0019-5545.146531. — View Citation

Gothwal VK, Bagga DK, Sumalini R. Rasch analysis of the Indian vision function questionnaire. Br J Ophthalmol. 2012 May;96(5):619-23. doi: 10.1136/bjophthalmol-2011-300092. Epub 2012 Feb 2. — View Citation

Grant A, Treweek S, Dreischulte T, Foy R, Guthrie B. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting. Trials. 2013 Jan 12;14:15. doi: 10.1186/1745-6215-14-15. — View Citation

Guerrero-Castaneda RF, Menezes TMO, Ojeda-Vargas MG. Characteristics of the phenomenological interview in nursing research. Rev Gaucha Enferm. 2017 Jul 6;38(2):e67458. doi: 10.1590/1983-1447.2017.02.67458. English, Spanish. — View Citation

Gupta SK, Viswanath K, Thulasiraj RD, Murthy GV, Lamping DL, Smith SC, Donoghue M, Fletcher AE. The development of the Indian vision function questionnaire: field testing and psychometric evaluation. Br J Ophthalmol. 2005 May;89(5):621-7. doi: 10.1136/bjo.2004.050732. — View Citation

Hadi MA, Jose Closs S. Ensuring rigour and trustworthiness of qualitative research in clinical pharmacy. Int J Clin Pharm. 2016 Jun;38(3):641-6. doi: 10.1007/s11096-015-0237-6. Epub 2015 Dec 14. — View Citation

Hagstromer M, Oja P, Sjostrom M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr. 2006 Sep;9(6):755-62. doi: 10.1079/phn2005898. — View Citation

Hankins M, Smith H. GPAQ. Br J Gen Pract. 2007 Dec;57(545):994. doi: 10.3399/096016407782604956. No abstract available. — View Citation

Hemming K, Taljaard M, Grimshaw J. Introducing the new CONSORT extension for stepped-wedge cluster randomised trials. Trials. 2019 Jan 18;20(1):68. doi: 10.1186/s13063-018-3116-3. — View Citation

Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011 Dec;20(10):1727-36. doi: 10.1007/s11136-011-9903-x. Epub 2011 Apr 9. — View Citation

Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x. — View Citation

Lee ATC, Richards M, Chan WC, Chiu HFK, Lee RSY, Lam LCW. Higher Dementia Incidence in Older Adults with Poor Visual Acuity. J Gerontol A Biol Sci Med Sci. 2020 Oct 15;75(11):2162-2168. doi: 10.1093/gerona/glaa036. — View Citation

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 Jul 31;9(7):e030300. doi: 10.1136/bmjopen-2019-030300. — View Citation

Lee J, Khobragade PY, Banerjee J, Chien S, Angrisani M, Perianayagam A, Bloom DE, Dey AB. Design and Methodology of the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD). J Am Geriatr Soc. 2020 Aug;68 Suppl 3(Suppl 3):S5-S10. doi: 10.1111/jgs.16737. — View Citation

Liew G, Mitchell P, Wang JJ, Wong TY. Fundoscopy: to dilate or not to dilate? BMJ. 2006 Jan 7;332(7532):3. doi: 10.1136/bmj.332.7532.3. No abstract available. — View Citation

Lim ZW, Chee ML, Soh ZD, Cheung N, Dai W, Sahil T, Tao Y, Majithia S, Sabanayagam C, Chen CL, Wong TY, Cheng CY, Tham YC. Association Between Visual Impairment and Decline in Cognitive Function in a Multiethnic Asian Population. JAMA Netw Open. 2020 Apr 1;3(4):e203560. doi: 10.1001/jamanetworkopen.2020.3560. Erratum In: JAMA Netw Open. 2020 May 1;3(5):e209437. — View Citation

Maharani A, Dawes P, Nazroo J, Tampubolon G, Pendleton N; SENSE-Cog WP1 group. Cataract surgery and age-related cognitive decline: A 13-year follow-up of the English Longitudinal Study of Ageing. PLoS One. 2018 Oct 11;13(10):e0204833. doi: 10.1371/journal.pone.0204833. eCollection 2018. Erratum In: PLoS One. 2018 Nov 20;13(11):e0208045. — View Citation

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 Apr;28(2):144-151. doi: 10.1080/09286586.2020.1797122. Epub 2020 Aug 4. — View Citation

Marmamula S, Challa R, Yellapragada S, Mohd J, Khanna RC. Temporal trends in the prevalence of spectacle use and spectacle coverage in India. Clin Exp Optom. 2020 Sep;103(5):693-698. doi: 10.1111/cxo.13025. Epub 2019 Dec 11. — View Citation

Marmamula S, Keeffe J, Challa R, Mohd J, Khanna RC. Near-vision impairment and effective near-vision spectacle coverage in two districts in Telangana, India: a population-based cross-sectional study. BMJ Open. 2021 Apr 5;11(4):e047131. doi: 10.1136/bmjopen-2020-047131. — View Citation

Marmamula S, Khanna RC, Kunkunu E, Rao GN. Population-based assessment of prevalence and causes of visual impairment in the state of Telangana, India: a cross-sectional study using the Rapid Assessment of Visual Impairment (RAVI) methodology. BMJ Open. 2016 Dec 15;6(12):e012617. doi: 10.1136/bmjopen-2016-012617. — View Citation

Marmamula S, Khanna RC, Kunuku E, Rao GN. Near visual impairment and spectacle coverage in Telangana, India. Clin Exp Ophthalmol. 2017 Aug;45(6):568-574. doi: 10.1111/ceo.12943. Epub 2017 Apr 5. — View Citation

Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, Moore L, O'Cathain A, Tinati T, Wight D, Baird J. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015 Mar 19;350:h1258. doi: 10.1136/bmj.h1258. — View Citation

Munn Z, Peters MDJ, Stern C, Tufanaru C, McArthur A, Aromataris E. Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med Res Methodol. 2018 Nov 19;18(1):143. doi: 10.1186/s12874-018-0611-x. — View Citation

Nael V, Peres K, Dartigues JF, Letenneur L, Amieva H, Arleo A, Scherlen AC, Tzourio C, Berr C, Carriere I, Delcourt C, Helmer C; Sense-Cog consortium. Vision loss and 12-year risk of dementia in older adults: the 3C cohort study. Eur J Epidemiol. 2019 Feb;34(2):141-152. doi: 10.1007/s10654-018-00478-y. Epub 2019 Jan 4. — View Citation

Pawson R, Tilley N. Realistic evaluation: Sage; 1997 June 23.

Peat G, Rodriguez A, Smith J. Interpretive phenomenological analysis applied to healthcare research. Evid Based Nurs. 2019 Jan;22(1):7-9. doi: 10.1136/ebnurs-2018-103017. Epub 2018 Dec 1. No abstract available. — View Citation

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 B Psychol Sci Soc Sci. 2020 Jan 1;75(1):114-124. doi: 10.1093/geronb/gbx087. — View Citation

Rogers EM. Diffusion of innovations. New York: Free Press; 2003

Salcher-Konrad M, Naci H, McDaid D, Alladi S, Oliveira D, Fry A, Hussein S, Knapp M, Musyimi CW, Ndetei DM, Lopez-Ortega M, Comas-Herrera A. Effectiveness of interventions for dementia in low- and middle-income countries: protocol for a systematic review, pairwise and network meta-analysis. BMJ Open. 2019 Jun 19;9(6):e027851. doi: 10.1136/bmjopen-2018-027851. — View Citation

Sandelowski M. Whatever happened to qualitative description? Res Nurs Health. 2000 Aug;23(4):334-40. doi: 10.1002/1098-240x(200008)23:43.0.co;2-g. — View Citation

Saxena S, Orley J; WHOQOL Group. Quality of life assessment: The world health organization perspective. Eur Psychiatry. 1997;12 Suppl 3:263s-6s. doi: 10.1016/S0924-9338(97)89095-5. — View Citation

Shenton A. Strategies for Ensuring Trustworthiness in Qualitative Research Projects. Education for Information 2004;22:63-75

Stephenson, Judith M., John Imrie, and C. Bonell. Effective sexual health interventions: issues in experimental evaluation. Oxford University Press, 2003

Swenor BK, Wang J, Varadaraj V, Rosano C, Yaffe K, Albert M, Simonsick EM. Vision Impairment and Cognitive Outcomes in Older Adults: The Health ABC Study. J Gerontol A Biol Sci Med Sci. 2019 Aug 16;74(9):1454-1460. doi: 10.1093/gerona/gly244. Erratum In: J Gerontol A Biol Sci Med Sci. 2019 Jan 14;: — View Citation

Tan ZS, Spartano NL, Beiser AS, DeCarli C, Auerbach SH, Vasan RS, Seshadri S. Physical Activity, Brain Volume, and Dementia Risk: The Framingham Study. J Gerontol A Biol Sci Med Sci. 2017 Jun 1;72(6):789-795. doi: 10.1093/gerona/glw130. — View Citation

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 Aug;65(8):896-903. doi: 10.1093/gerona/glq067. Epub 2010 Jun 3. — View Citation

Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007 Dec;19(6):349-57. doi: 10.1093/intqhc/mzm042. Epub 2007 Sep 14. — View Citation

Tran EM, Stefanick ML, Henderson VW, Rapp SR, Chen JC, Armstrong NM, Espeland MA, Gower EW, Shadyab AH, Li W, Stone KL, Pershing S. Association of Visual Impairment With Risk of Incident Dementia in a Women's Health Initiative Population. JAMA Ophthalmol. 2020 Jun 1;138(6):624-633. doi: 10.1001/jamaophthalmol.2020.0959. — View Citation

Tsolaki M, Iakovidou V, Navrozidou H, Aminta M, Pantazi T, Kazis A. Hindi Mental State Examination (HMSE) as a screening test for illiterate demented patients. Int J Geriatr Psychiatry. 2000 Jul;15(7):662-4. doi: 10.1002/1099-1166(200007)15:73.0.co;2-5. No abstract available. — View Citation

Ustun TB, Chatterji S, Kostanjsek N, Rehm J, Kennedy C, Epping-Jordan J, Saxena S, von Korff M, Pull C; WHO/NIH Joint Project. Developing the World Health Organization Disability Assessment Schedule 2.0. Bull World Health Organ. 2010 Nov 1;88(11):815-23. doi: 10.2471/BLT.09.067231. Epub 2010 May 20. — View Citation

Walker R, Paddick SM. Dementia prevention in low-income and middle-income countries: a cautious step forward. Lancet Glob Health. 2019 May;7(5):e538-e539. doi: 10.1016/S2214-109X(19)30169-X. No abstract available. — View Citation

Westhorp G. Realist impact evaluation: an introduction. London: Overseas Development Institute. 2014 Sep 25:1-

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 Sep 1;136(9):989-995. doi: 10.1001/jamaophthalmol.2018.2493. — View Citation

* Note: There are 54 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Change in cognitive score The metric or method of measurement to be used: LASI-DAD global cognitive score. The best possible score is 360 and the worst possible score is 0. Time point(s) of primary interest: 36 months collected at 12, 24 and 36 months
Secondary 26-Item Quality of Life The metric or method of measurement to be used: Quality of Life using WHO BREF questionnaire. Higher scores (for 4 domains) indicate higher quality of life and vice versa (it is a continuum) Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
Secondary Cost effectiveness The metric or method of measurement to be used: Cost-effectiveness using Client Service Receipt Inventory Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
Secondary Social interaction/isolation The metric or method of measurement to be used: Social Networking Index. The best possible score is 12 and the worst possible score is 0 Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
Secondary Self-reported physical activity. The metric or method of measurement to be used: International Physical Activity Questionnaire Self-reported physical activity: International Physical Activity Questionnaire (IPAQ). Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
Secondary Falls The metric or method of measurement to be used: Quick Screen for falls Risk. The worst possible score is 7% and the best possible score is 49% Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
Secondary Depression The metric or method of measurement to be used: Patient Health Questionnaire, PHQ9. Worst score is 0 and best possible score is 27 Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
Secondary Glasses compliance The metric or method of measurement to be used: Use of glasses during follow-up visits. The best possible score is 1 and the worst possible score is 0 Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
Secondary Visual Function The metric or method of measurement to be used: Indian VFQ. The measure will be in logits (using Rasch-scaled interval scores) and it is a continuum with positive person scores indicating lower visual functioning and negative scores indicating better visual functioning. Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
Secondary Domain-specific cognitive function The metric or method of measurement to be used: Hindi Mental State Examination. The best possible score is 31 and the worst possible score is 0. Time point(s) of primary interest: 36 months collected every 12 months - ie at 12, 24 and 36 months
See also
  Status Clinical Trial Phase
Completed NCT04532099 - Clinical Comparison of Two Daily Wear Frequent Replacement Silicone Hydrogel Soft Contact Lenses N/A
Completed NCT05039112 - Clinical Comparison of 2 Daily Disposable Toric Soft Contact Lenses N/A
Completed NCT03670303 - Trial of an Educational Intervention to Promote Spectacle Use Among Secondary School Children in Islamabad, Pakistan N/A
Completed NCT02255474 - Bifocal Lenses In Nearsighted Kids N/A
Not yet recruiting NCT03222661 - Direct Comparison of SVOne Obtained Refraction to Subjective Manifest Refraction N/A
Completed NCT04055519 - Clinical Performance Assessment of a Daily Wear Monthly Replacement Soft Silicone Hydrogel Contact Lens N/A
Recruiting NCT05049070 - Study to Evaluate the Reliability, Validity and Safety of Subjective Mobile Refraction N/A
Completed NCT04527978 - Clinical Comparison of 2 Daily Disposable Contact Lenses - Pilot Study 1 N/A
Completed NCT01430247 - Vision Screening for the Detection of Amblyopia N/A
Recruiting NCT06077682 - Cycloplegic Refraction in Pediatric Patients With Esotropia Phase 4
Not yet recruiting NCT04077086 - Correcting Myopia Among Secondary School Children to Increase Academic High School Attendance Rates in Rural Communities N/A
Completed NCT04528017 - Clinical Comparison of 2 Daily Disposable Contact Lenses - Pilot Study 2 N/A
Withdrawn NCT04352868 - Customizing Myopia Control With Multifocal Toric Contact Lens N/A
Recruiting NCT04338880 - Academic Performance and Refractive Error
Recruiting NCT04545073 - Outcomes of a Trifocal IOL in Post-refractive Patients
Enrolling by invitation NCT05992675 - Air Optix® Night and Day® Aqua Continuous Wear
Enrolling by invitation NCT05976750 - Air Optix® Night and Day® Aqua Daily Wear
Recruiting NCT04693247 - Handheld Device Compared With a Standard Eye Care Diagnostic Device in Measuring Ophthalmic Refraction N/A
Recruiting NCT06065631 - Seeing to Learn in Sierra Leone N/A
Not yet recruiting NCT05550740 - Repeated Low-Level Red-Light Therapy for Shortening Axial Length N/A