THRIFT: Transforming Households With Refraction and Innovative Financial Technology

• Sponsor: Queen's University, Belfast (Other)
• Overall Status: Not yet recruiting
• CT.gov ID: NCT05510687
• Collaborator: L.V. Prasad Eye Institute (Other), VisionSpring (Other), MOMODa Foundation (Other), Good Business Labs Foundation (Other), Florida International University (Other), Clearly (Other), BRAC University (Other)
• Enrollment: 484
• Location: 1
• Arms: 2
• Anticipated Duration (Months): 23
• Patients Per Site Per Month: 21

Study Details

Study Description

Brief Summary

The aim of the proposed Randomised Clinical Trial (RCT) is to assess the impact of presbyopia correction and basic digital financial training on greater adoption and use of digital financial services (primary outcome) and other welfare impacts (secondary outcomes)) for safety-net beneficiaries in an Low to Middle Income Countries (LMIC). Trial participants will be Old Age Allowance (OAA) and Widows Allowance (WA) beneficiaries who regularly receive payments as part of a government safety net program for the very poor.

The primary objective of the THRIFT trial is to assess whether the combined complementary intervention of providing free eyeglasses and basic digital financial services training in the use of mobile phones and the THRIFT app (a module locally developed to capture digital financial transactions) to recipients of government OAA and WA safety-net payments can lead to greater financial inclusion and improved quality of life.

THRIFT's primary outcome is the adoption and effective use of the DFS platform in receiving digital OAA and WA transfers using the mobile banking platform, as measured by the difference between the treatment and control groups.

The secondary outcomes analysed under the THRIFT trial will be:

Total mobile data consumption by the individual Whether use of the application was facilitated by a bKash agent or family member, or independent Purchase of additional phones by study participant's household Purchase of additional phones by study participant Intra-household resource sharing by the beneficiary (as a percentage of total household consumption) Purchase of glasses Food security (measured using standard module developed by World Food Programme (WFP) Adequate and timely access to healthcare and medications (self-reported measures of purchase of essential medicine and healthcare visits.) Role of study participant in household decision making autonomy (measured using a standard survey instrument).

Subjective well-being of study participants (self-reported measures using a standard survey module).

Mobility of study participant Social connectedness of study participant External remittances, recorded on the bKash app (verified by survey) Self-reported incidence of theft or fraudulent use of money from the index participant's account.

Condition or Disease	Intervention/Treatment	Phase
Presbyopia	Device: Glasses to correct presbyopia	N/A

Detailed Description

Background and Rationale: The proliferation of mobile banking systems across developing countries has provided previously un-banked populations with a convenient method to manage their finances digitally. The Government of Bangladesh launched the Old Age Allowance (OAA) and Widow Allowance (WA) programmes in 1998 to provide a financial safety net to its poor and vulnerable population - elderly under OAA and vulnerable women under WA. More than half of Bangladeshi adults lack access to a formal bank account, with most of the un-banked population belonging to the poorest 40% of households. Mobile money, through applications such as bKash, has become the "innovation" to improve the financial inclusion scenario in Bangladesh, especially during the coronavirus pandemic. The take-up of mobile money is often limited by a lack of technical awareness and trust concerns among the elderly. Lee at al. (2021) have addressed these concerns through an intervention consisting of initial training and subsequent minor assistance in using the bKash mobile banking application, which they randomised over a sample of poor households in rural Bangladesh. They found an increase of 7.5% in rural consumption, a reduction in extreme poverty and a 26% increase in urban to rural remittances among the sample participants using bKash a year after the intervention. Across Low and Middle Income Countries (LMICs), experimental studies encouraging adoption of mobile money applications have been shown to improve consumption smoothing, savings and access to credit. There is evidence to support the theory that a training module introducing the elderly to mobile banking will help bridge strong information and trust gaps, and encourage greater financial independence. As traditional joint family structures weaken in South Asian societies,greater economic independence among older populations has the potential to improve their functional independence, level of healthcare access, and mental well-being. Evidence suggests that there is a substantial burden of uncorrected presbyopia in Bangladesh. Uncorrected vision problems have been found to negatively affect visual function, which includes smart phone and mobile phone usage among the elderly in multiple LMIC contexts. It has also been found to affect productivity among tea plantation workers performing visually demanding tasks in Assam, India.This can lead to lower engagement with mobile banking platforms, which in turn can limit elderly people's access to their finances. Conversely, correction of presbyopia is associated with significant improvements in work productivity and other economically important outcomes.

The proposed THRIFT trial is the first to examine two important determinants of mobile banking among an elderly and financially vulnerable population in a developing country context: lack of awareness about the use of mobile banking, and uncorrected age-related decline in near vision, presbyopia. This randomised trial will evaluate whether providing study populations with glasses for presbyopia, and a digital financial training module can significantly improve the use of mobile banking for cash transfers, deposits, and withdrawals, compared to controls receiving these interventions only after end line.

Aim: The aim of the proposed RCT trial is to assess the impact of presbyopia correction and basic digital financial training (combined complementary intervention) on greater adoption and use of digital financial services (primary outcome) and other welfare impacts (secondary outcomes) for safety-net beneficiaries in an LMIC.

Study Plan:

List of OAA/WA beneficiaries from Department of Social Services (DSS) is obtained and the beneficiary list is screened for eligibility by MOMODa Foundation.

Consent for Social screening is obtained by Community Health workers (CHW) of MOMODa Foundation and consented participants are assigned the Unique participant Identifier(ID).

All the relevant documents are verified and social screening is done to confirm eligibility.

Eligible participant list is shared with VisionSpring(VS) team after obtaining consent for vision examinations.

VS CHWs and Programs officers conduct door-to door eye-screening for presbyopia diagnosis and eligible participant list is shared with MOMODa Foundation for proceeding with baseline survey followed by randomisation.

Treatment group gets the eyeglasses, mobile phone and training on the usage of the mobile banking application. Control group gets mobile phone and prescription for glasses Glasses to the control group are provided at the end of the study.

VS team conducts 2 follow up visits per participant. First follow-up visit one month after receiving glasses and second visit 5 months after receiving glasses to check the compliance of eyeglasses.

MOMODa Foundation team conducts 3 follow-up visits per participant to check the smart phones provided and to know the comfort of the participant while using smart phone and also to know whether smart phone is being used by the participant.

Study Setting:

The primary setting will be the rural and peri-urban areas in one of the three districts, namely, Kurigram, Lalmonirhaat and Sherpur in Bangladesh. All these three districts are catchments areas for bKash, a mobile-based financial services platform by which users can make payments and transfers using a mobile phone.

Recruitment: This will begin with the receipt of the list identifying OAA and WA beneficiaries living in Kurigram, Lalmonirhaat and Sherpur districts from the Department of Social Service, Ministry of Social Welfare, Government of Bangladesh. Whenever possible, the first contact with the beneficiaries through the local community leaders will be generated. The enumerators will first conduct a test to assess their poverty status and a numeracy and dexterity test to confirm a basic ability to understand the training module and manage simple financial functions on a mobile device. Relatively well-off beneficiaries will be screened out using the means tests. Subject to the consent for the eye examination and other eligibility tests, respondents meeting the eligibility criteria at the first stage, will undergo an eye examination/screening to determine if they have presbyopia. Upon getting a presbyopia diagnosis, individuals who qualify all inclusion criteria and do not meet the exclusion criteria, will be informed about the study, and consented for participation. Those who consent to be in the study will be randomly assigned to the study intervention or control group. VisionSpring and MOMODa Foundation will conduct a home visit three months after dispensing the eyeglasses and mobile phone, respectively for compliance checks. The end-line visit will be conducted after the 12th month of intervention (after beneficiaries received four quarterly transfers from the government).

RANDOMISATION AND PROCEDURES Participants will be randomly assigned to either the Intervention or Control Group.

Participants in the former will receive a mobile phone with the preloaded bank transaction tracking app, eyeglasses to correct presbyopia, and mobile banking training.

Participant in the control group will receive the same model mobile phone with preloaded bank transaction tracking app at the same time as the treated group. They will receive eyeglasses at the end of the trial.

ANALYSIS Baseline demographic and clinical characteristics will be reported for all participants in the sample, excluding protocol deviations randomised in error where Informed Consent has not been obtained. Baseline characteristics will be summarised by their means and standard deviations, medians and interquartile ranges, or numbers and percentages as appropriate.

An Intention to treat (ITT) approach to analyze most outcomes. This would involve regressing the outcome of concern on the randomised intervention status, outcome level as recorded at baseline or Analysis of Covariance (ANCOVA ) estimation (if available), and a vector of baseline control variables. This vector would include control variables such as age, gender, educational achievement and household size. The rates of mobile banking usage, as measured in the primary outcomes, will be compared across groups of participants defined on the basis of age, education, household income and other socioeconomic variables. Standard errors will be clustered at the individual level for this analysis. However, for high-frequency outcome variables (such as application-based financial transaction data) will be aggregated (either monthly or weekly) where errors will be clustered at the household level. Remittances between the two groups will be analysed using the ITT method but without using the ANCOVA specification discussed above. Outcome variables that are binary in nature will be analysed using Linear Probability Model method.

Participants will be described with respect to the following characteristics at trial entry:

Age,Sex, Education level,Uncorrected, presenting and corrected distance visual acuity in each eye separately and both eyes together, Ownership of glasses for the correction of distance vision and self-reported regularity of use Visual Function Questionnaire (VFQ-25), Urban or rural residence, Attitudes towards vision correction, Access to local eye care services, history of uptake of eye care services.

Numbers (with percentages) for binary and categorical variables and means (and standard deviations), or medians (with lower and upper quartiles) for continuous variables will be presented; there will be no tests of statistical significance performed nor confidence intervals calculated for differences between groups on any baseline variables (for instance mid-way through trial from Interim Analysis).

Study Design

• Study Type: Interventional
• Anticipated Enrollment: 484 participants
• Allocation: Randomized
• Intervention Model: Parallel Assignment
• Intervention Model Description: THRIFT is a randomised controlled trial (RCT) that employs an explanatory embedded mixed methods design whereby the RCT is the primary study and the secondary or embedded approach is a mixed-methods investigation of the culture and context surrounding the trial. The basic RCT design employs individual OAA /WA beneficiary-households in digitised safety-net catchment areas as the unit of randomization. The study uses a two-arm RCT design, one treatment and one control arm. Only households with an eligible participant who does not personally own a smart phone or feature phone and currently is not receiving benefits using Digital Financial Services( DFS) will be eligible to join the trial. The trial will be investigator-masked. The study will run for 16 months, starting with recruitment and screening of potential participants, and ending once participants have completed 12 months of follow up and data collection.THRIFT is a randomised controlled trial (RCT) that employs an explanatory embedded mixed methods design whereby the RCT is the primary study and the secondary or embedded approach is a mixed-methods investigation of the culture and context surrounding the trial. The basic RCT design employs individual OAA /WA beneficiary-households in digitised safety-net catchment areas as the unit of randomization. The study uses a two-arm RCT design, one treatment and one control arm. Only households with an eligible participant who does not personally own a smart phone or feature phone and currently is not receiving benefits using Digital Financial Services( DFS) will be eligible to join the trial. The trial will be investigator-masked. The study will run for 16 months, starting with recruitment and screening of potential participants, and ending once participants have completed 12 months of follow up and data collection.
• Masking: Single (Investigator)
• Masking Description: The trial will be investigator-masked, but Community Health Workers, other study personnel and the participants will not be masked to Intervention Group assignment. This is because participants in the Intervention Group will receive eyeglasses at the start of the trial and members of the Control Group will receive theirs at the end. All care will be taken to ensure that the researchers are kept masked, and they do not foresee conditions that will require emergency unmasking.
• Primary Purpose: Treatment
• Official Title: A Randomised Controlled Trial on the Impact of Free Reading Glasses to Support Use of Smart Phone Banking in Bangladesh Among Government Old Age Allowance (OAA)/Widow Allowance (WA) Beneficiaries
• Anticipated Study Start Date: Sep 1, 2022
• Anticipated Primary Completion Date: Dec 1, 2022
• Anticipated Study Completion Date: Aug 1, 2024

Arms and Interventions

Arm	Intervention/Treatment
Experimental: Glasses to correct presbyopia and digital financial training The intervention is the provision of glasses to correct presbyopia plus digital financial training to use bKash, a popular mobile banking application that is becoming the preferred mode of transferring payments to the bank accounts of OAA and WA beneficiaries in Bangladesh.	Device: Glasses to correct presbyopia; Participants will receive eyeglasses to correct presbyopia, as per the power determined in the eye examination.
No Intervention: Control-No treatment Mobile phone with preloaded bank transaction tracking app: Participants will be provided a basic mobile phone handset. The bank transaction tracking application that is being developed to measure the primary outcomes for this trial will be installed on these phones before giving them to the participants. A mobile data pack will also be remotely loaded on the mobile phone to facilitate internet access for mobile banking. Eyeglasses: These participants will receive a free pair of eyeglasses at the conclusion of the study to correct refractive errors, unless they have obtained such glasses on their own during the study.

Outcome Measures

Primary Outcome Measures

1. Number of transactions with the index bank account per unit time. [Once every week]

   A change in the bKash balance sheet measured on the THRIFT app indicating a transaction undertaken using mobile banking. A higher number indicates a more frequent transaction

2. Number of interactions with the mobile banking app per unit time [Once every week]

   The number of times the bKash app is opened on a phone. A higher number indicates a more frequent interaction.

Secondary Outcome Measures

1. Total mobile data consumption by the individual [Once every month]

   Total data consumed by the participant during the study period. A higher value indicates more usage of the internet.

2. Application was facilitated by a bKash agent or family member, or independent [Change from baseline to 12 months]

   Whether use of the application was facilitated by a bKash agent or family member, or independent. A binary outcome with either Yes or No

3. Purchase of additional phones by study participant's household [Change from baseline to 12 months]

   The number of mobile phones purchased per household is assessed. A binary outcome with either Yes or No

4. Purchase of additional phones by study participant [Change from baseline to 12 months]

   The number of mobile phones purchased by the individual is assessed. A binary outcome with either Yes or No

5. Intra-household resource sharing by the beneficiary [Change from baseline to 12 months]

   Percentage of resource shared by the beneficiary from total household consumption. Best score is 100 and worst score is 0.

6. Purchase of glasses [Change from baseline to 12 months]

   Glasses purchased by the study participant. A binary outcome with either Yes or No.

7. Food security [Up to 12 months]

   Participants perception of the nutrition and quantity of their daily food consumption is measured. This is a continuous index with larger values indicating higher levels of food insecurity.

8. Adequate and timely access to healthcare and medications [Change from baseline to 12 months]

   Assessed by self-reported measures of purchase of essential medicine and healthcare visits. Best score is 5 and worst score is 1 on a 5-point Likert scale.

9. Role of study participant in household decision making autonomy [Change from baseline to 12 months]

   The onus of decision making for different household activities by the participant is assessed using a survey instrument developed fort the trial. Best score is 100% and worst score is 0%

10. Subjective well-being of study participants [Change from baseline to 12 months]

    Participants satisfaction with various aspects of their life such as their health and personal relationships is assessed using the World Health Organisation Quality of Life survey. Best score is 100 and worst score is 0.

11. Mobility of study participant [Change from baseline to 12 months]

    Participants comfort in regular physical activities is assessed using Global Physical Activity Questionnaire. Self-reported physical activity.

12. Social connectedness of study participant [Change from baseline to 12 months]

    Participants engagement with their family members, friends and neighbors is assessed using Social Networking Index. The best possible score is 12 and the worst possible score is 0.

13. External remittances, recorded on the bKash app [Once in a month.]

    Participants banking habits; if they have an account with a formal banking institution, their awareness of mobile money transactions and the various methods & constraints in the way of undertaking mobile banking'are assessed with worst score being 0. Higher values indicate frequent remittances.

14. Incidence of theft or fraudulent use of money [Up to 12 months]

    Self-reported incidents on theft from the index participant's bank account. A binary outcome with either Yes or No

Eligibility Criteria

Criteria

• Ages Eligible for Study: 50 Years to 70 Years
• Sexes Eligible for Study: All
• Accepts Healthy Volunteers: No

Inclusion Criteria:

1. Age

2. 65-70 years old male OAA beneficiaries

3. 62-70 years old female OAA beneficiaries

4. 50-60 years old WA beneficiaries

5. Presbyopia

1. Untreated

1. Numeracy a. Basic numeracy ability

2. Cognition

1. cognitive ability

1. Dexterity a. basic dexterity

Exclusion Criteria:

1. OAA/WA beneficiaries

1. not eligible as assessed by the means testing criteria

1. Benefits

1. already receiving benefits through a digital banking app

1. Other eye problems a. Presence of other eye problems like cataract

2. Vision

1. Poor vision problem

1. Communication

1. inability to communicate clearly in Bangla

1. Informed consent a. Not willing to give informed consent

Contacts and Locations

Locations

	Site	City	State	Country	Postal Code
1	James P. Grant School of Public Health BRAC University	Dhaka	Bir Uttom A K Khandakar Road	Bangladesh	1213

Sponsors and Collaborators

• Queen's University, Belfast
• L.V. Prasad Eye Institute
• VisionSpring
• MOMODa Foundation
• Good Business Labs Foundation
• Florida International University
• Clearly
• BRAC University

Investigators

• Principal Investigator: Nathan G Congdon, MD, MPH, Queen's University, Belfast
• Principal Investigator: Atonu Rabbani, PhD, BRAC James P Grant School of Public Health
• Principal Investigator: Abu S Shonchoy, PhD, Florida International University

Study Documents (Full-Text)

None provided.

More Information

Publications

• 7. World Bank. (2018). Br Project Appraisal Document On A Proposed Credit In The Amount Of Sdr 213.60 Million (Us$ 300.00 Million Equivalent) To The People's Republic Of Bangladesh For A Cash Transfer Modernization Project. World Bank. Retrieved from https://documents1.worldbank.org/curated/en/258451517626830719/pdf/BANGLADESH-PAD-01112018.pdf
• Aker, J., & Mbiti, I. (2010). Mobile Phones and Economic Development in Africa. Journal Of Economic Perspectives, 24(3), 207-232. https://doi.org/10.1257/jep.24.3.207
• Aker, J., Boumnijel, R., McClelland, A., & Tierney, N. (2016). Payment Mechanisms and Antipoverty Programs: Evidence from a Mobile Money Cash Transfer Experiment in Niger. Economic Development And Cultural Change, 65(1), 1-37. https://doi.org/10.1086/687578
• Bangladesh Bureau Of Statistics, Statistics and Informatic Division, Ministry of Planning. Government of Bangladesh. (2015). Age-Sex Composition of Bangladesh Population. Retrieved from http://203.112.218.65:8008/WebTestApplication/userfiles/Image/PopMonographs/Volume-9_Age-Sex.pdf
• Bastian, G., Bianchi, I., Goldstein, M., & Montalvao, J. (2021). Short-Term Impacts of Improved Access to Mobile Savings, with and without Business Training: Experimental Evidence from Tanzania - Working Paper 478. Center For Global Development. Retrieved 15 October 2021, from https://www.cgdev.org/publication/short-term-impacts-improved-access-mobile-savings-business-training
• Baur-Yazbeck, S. (2019). A New Generation of Government-to-Person Payments Is Emerging. CGAP. Retrieved 15 October 2021, from https://www.cgap.org/blog/new-generation-government-person-payments-emerging
• Catia Batista & Pedro C. Vicente, 2018.
• Chiroma, M., & Jamda, A. (2017). Impact of Uncorrected Presbyopia on the Quality of Life in Rural Gwagwalada, Nigeria. Journal Of Community Medicine And Primary Health Care, 29(1). Retrieved 15 October 2021, from https://www.ajol.info/index.php/jcmphc/article/view/160834
• Goli, S., Reddy, B., Srinivasan, V., & James, K. (2019). Economic Independence and Social Security among India's Elderly. Economic And Political Weekly, 39. Retrieved 15 October 2021
• Hamiduzzaman, M., de Bellis, A., Abigail, W., & Kalaitzidis, E. (2018). Elderly Women in Rural Bangladesh. South Asia Research, 38(2), 113-129. https://doi.org/10.1177/0262728018767018
• Jack, W., & Suri, T. (2014). Risk Sharing and Transactions Costs: Evidence from Kenya's Mobile Money Revolution. American Economic Review, 104(1), 183-223. https://doi.org/10.1257/aer.104.1.183
• Kabir, R., T.A.Khan, H., Kabir, M., & Rahman, M. (2013). POPULATION AGEING IN BANGLADESH AND ITS IMPLICATION ON HEALTH CARE. European Scientific Journal, 9(33). Retrieved 15 October 2021, from https://core.ac.uk/download/pdf/83951388.pdf
• Khan, M., Islam Mondal, M., Hoque, N., & Islam, M. (2014). A Study on Quality of Life of Elderly Population in Bangladesh. American Journal Of Health Research, 2(4), 152. https://doi.org/10.11648/j.ajhr.20140204.18
• Khanam MA, Streatfield PK, Kabir ZN, Qiu C, Cornelius C, Wahlin Å. Prevalence and patterns of multimorbidity among elderly people in rural Bangladesh: a cross-sectional study. J Health Popul Nutr. 2011 Aug;29(4):406-14.
• Khatun, M., Mitra, S., & Sarkar, M. (2021). Mobile banking during COVID-19 pandemic in Bangladesh: A novel mechanism to change and accelerate people's financial access. Green Finance, Aims Press, 3(3), 253-267. Retrieved 15 October 2021, from https://www.aimspress.com/article/doi/10.3934/GF.2021013?viewType=HTML
• Kidd Man RE, Fenwick EK, Sabanayagam C, Li LJ, Gupta P, Tham YC, Wong TY, Cheng CY, Lamoureux EL. Prevalence, Correlates, and Impact of Uncorrected Presbyopia in a Multiethnic Asian Population. Am J Ophthalmol. 2016 Aug;168:191-200. doi: 10.1016/j.ajo.2016.05.019. Epub 2016 May 28.
• Laviers H. The prevalence of presbyopia and the feasibility of community distribution of near spectacles in adults in Zanzibar, East Africa. Community Eye Health. 2007 Dec;20(64):73.
• Lee, J., Morduch, J., Ravindran, S., Shonchoy, A., & Zaman, H. (2021). Poverty and Migration in the Digital Age: Experimental Evidence on Mobile Banking in Bangladesh. American Economic Journal: Applied Economics, 13(1), 38-71. https://doi.org/10.1257/app.20190067
• Lu Q, Congdon N, He X, Murthy GV, Yang A, He W. Quality of life and near vision impairment due to functional presbyopia among rural Chinese adults. Invest Ophthalmol Vis Sci. 2011 Jun 13;52(7):4118-23. doi: 10.1167/iovs.10-6353.
• Mathieson KM, Kronenfeld JJ, Keith VM. Maintaining functional independence in elderly adults: the roles of health status and financial resources in predicting home modifications and use of mobility equipment. Gerontologist. 2002 Feb;42(1):24-31.
• Msweli, N., & Mawela, T. (2020). Enablers and Barriers for Mobile Commerce and Banking Services Among the Elderly in Developing Countries: A Systematic Review. Lecture Notes In Computer Science, 319-330. https://doi.org/10.1007/978-3-030-45002-1_27
• Muhammad N, Alhassan MB, Umar MM. Visual function and vision-related quality of life in presbyopic adult population of Northwestern Nigeria. Niger Med J. 2015 Sep-Oct;56(5):317-22. doi: 10.4103/0300-1652.170379.
• Muhit M, Minto H, Parvin A, Jadoon MZ, Islam J, Yasmin S, Khandaker G. Prevalence of refractive error, presbyopia, and unmet need of spectacle coverage in a northern district of Bangladesh: Rapid Assessment of Refractive Error study. Ophthalmic Epidemiol. 2018 Apr;25(2):126-132. doi: 10.1080/09286586.2017.1370119. Epub 2017 Oct 4.
• Patel I, Munoz B, Burke AG, Kayongoya A, McHiwa W, Schwarzwalder AW, West SK. Impact of presbyopia on quality of life in a rural African setting. Ophthalmology. 2006 May;113(5):728-34.
• Rahman FN, Khan HTA, Hossain MJ, Iwuagwu AO. Health and wellbeing of indigenous older adults living in the tea gardens of Bangladesh. PLoS One. 2021 Mar 4;16(3):e0247957. doi: 10.1371/journal.pone.0247957. eCollection 2021.
• Rajaobelina, L., Brun, I., Line, R. and Cloutier-Bilodeau, C. (2021),
• Reddy PA, Congdon N, MacKenzie G, Gogate P, Wen Q, Jan C, Clarke M, Kassalow J, Gudwin E, O'Neill C, Jin L, Tang J, Bassett K, Cherwek DH, Ali R. Effect of providing near glasses on productivity among rural Indian tea workers with presbyopia (PROSPER): a randomised trial. Lancet Glob Health. 2018 Sep;6(9):e1019-e1027. doi: 10.1016/S2214-109X(18)30329-2. Epub 2018 Jul 23.
• Riley, E. (2018). Mobile money and risk sharing against village shocks. Journal Of Development Economics, 135, 43-58. https://doi.org/10.1016/j.jdeveco. 2018.06.015
• Shenton A. Strategies for Ensuring Trustworthiness in Qualitative Research Projects. Education for Information 2004;22:63-75.
• Shonchoy, A., Rigol, N., Roth, B., Chandra, S., Franco, A., & Hussam, R. (2021). Safety Nets and the Pandemic: The State of Social Benefit Payments during COVID-19 in Bangladesh. Innovations for Poverty Action. Retrieved 15 October 2021, from https://www.poverty-action.org/recovr-study/safety-nets-and-pandemic-state-social-benefit-payments-during-covid-19-bangladesh
• Srivastava S, Purkayastha N, Chaurasia H, Muhammad T. Socioeconomic inequality in psychological distress among older adults in India: a decomposition analysis. BMC Psychiatry. 2021 Apr 7;21(1):179. doi: 10.1186/s12888-021-03192-4. Erratum in: BMC Psychiatry. 2021 Apr 29;21(1):221.
• Suri T, Jack W. The long-run poverty and gender impacts of mobile money. Science. 2016 Dec 9;354(6317):1288-1292. Epub 2016 Dec 8.
• Wang C, Wang X, Jin L, Tang B, Zhu W, Zhang G, Chen T, McAneney H, Kassalow J, Congdon N. Influence of presbyopia on smartphone usage among Chinese adults: A population study. Clin Exp Ophthalmol. 2019 Sep;47(7):909-917. doi: 10.1111/ceo.13559. Epub 2019 Jun 13.
• World Bank Group. "PROGRAM BRIEF: Old Age Allowance." worldbank.org, 2019, https://documents1.worldbank.org/curated/en/619861552541446911/pdf/135280-13-3-2019-9-14-4-ProgrambriefonOAAF.pdf. Accessed 6/10/21
• World Bank. (2017). Chapter 2: The Unbanked. Retrieved from https://globalfindex.worldbank.org/sites/globalfindex/files/chapters/2017%20Findex%20full%20report_chapter2.pdf

• Responsible Party: Nathan Congdon, Principal Investigator, Queen's University, Belfast
• ClinicalTrials.gov Identifier: NCT05510687
• Other Study ID Numbers: ENGINETHRIFT TP V3.0 07/06/22
• First Posted: Aug 22, 2022
• Last Update Posted: Aug 22, 2022
• Last Verified: Aug 1, 2022

• Individual Participant Data (IPD) Sharing Statement: Yes
• Plan to Share IPD: Yes
• Studies a U.S. FDA-regulated Drug Product: No
• Studies a U.S. FDA-regulated Device Product: No
• Keywords provided by Nathan Congdon, Principal Investigator, Queen's University, Belfast: Presbyopia; Digital transactions and vision
• Additional relevant MeSH terms: Presbyopia

Study Results

No Results Posted as of Aug 22, 2022