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Healthy, Wealthy, and Wise:
How MFIs Can Track the Health of Clients
March 4, 2015
John Alex,
Equitas
DSK Rao,
Microcredit
Summit Campaign
Bobbi Gray,
Freedom from
Hunger
Sandhya Suresh,
ESAF
HEALTHY, WEALTHY,
AND WISE:
HOW MFIS CAN TRACK THE HEALTH OF
CLIENTS
Join us on Twitter
#HWWwebinar
2
PANELISTS
Dr. DSK Rao, Regional Director for Asia-
Pacific, Microcredit Summit Campaign,
India
Bobbi Gray, Research and Evaluation
Specialist, Freedom from Hunger, USA
Sandhya Suresh, Sr. Manager Research
and Development, ESAF Microfinance
and Investments Pvt. Ltd., India
John Alex, Group Head-Social Initiatives
& Program Director, Equitas
Development Initiatives Trust, India
AUDIENCE POLL #HWWwebinar
4
THEORIES OF CHANGE:
IMPROVED HEALTH
Access to and use of
financial services:
loans; insurance;
savings; payments;
health loans and savings
Increased
income
Consumption
smoothing
Seek prompt medical
treatment
Seek preventive health care
Coping with Health Shocks
Access to and use of
health services:
education, provision of
curative and preventive
health services
Improved health knowledge
Seek prompt medical treatment
Seek preventive health care
Integrated health and
financial services:
direct provision and
linkages between
sectors
Cross-sectoral
efficiency gains in
provision of financial
and health services to
poor populations
Seek prompt medical
treatment
Seek preventive health care
Coping with Health Shocks
Improved
health
outcomes
GLOBAL HEALTH INDICATORS
PROJECT
0
10
20
30
40
50
60
70
80
1 2 3 4 5 6 7 8 9 10
%ofClients
Year
Health Indicators Tracking
Food Security Lack of treatment due to cost % below poverty line (PPI)
CHOOSING HEALTH INDICATORS
Criteria
Feasibility Usability Reliability
Likelihoodof
inclusion
Measurable
by a
Financial
Service
Provider
(FSP)
Can be
reported in
client survey
Can change in
short-term
Addresses
relevant
measures for
FSPs
Cannot rely on
specific
interventions
to change
outcomes
Be applicable
for both
genders
Can be
benchmarked
to other data
(MDGs, regional
data, etc.)
Reliability
PPI/PAT Yes Yes Maybe Yes Yes Yes Yes Yes High
Food
security
index
Yes Yes Yes Yes Yes Yes Yes Maybe High
Use of
preventive
health
services
Yes Yes Yes Maybe Maybe Yes Maybe Maybe High/
Moderate
Access to
safe
drinking
water
(MDG 7)
Yes Yes Maybe Yes Maybe Yes Yes Maybe High/
Moderate
INCLUDED IN HEALTH OUTCOME
PERFORMANCE INDICATORS
(HOPI)
 Poverty (Progress out of Poverty Index)
 Food Security and Nutrition
 Preventive Health Care Services
 Sanitation and Safe Water
 Curative Health Care
 Attitudes
CLIENT HEALTH
OUTCOMES
#HWWwebinar
RESEARCH RESULTS: ESAF,
INDIA
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
ESAF HOPI Dashboard on Poverty and Health (2014)
ESAF India Correlated with Poverty
RESEARCH RESULTS: EQUITAS,
INDIA
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Equitas HOPI Dashboard on Poverty and Health (2014)
Equitas India Correlated with Poverty
GUIDING QUESTIONS FOR ESAF
AND EQUITAS
 What is your motivation for
understanding client health?
 What did you learn about your clients
from the health indicators?
 Were there any challenges in either
collecting, interpreting, using the
data?
 What your plans going forward in use
of the health indicators?
ESAF MICROFINANCE (INDIA)
 700,000 low income families ~ 7 states ~ 175
branches
 15 loan products developed through need assessment
studies
 “Good health” is the most valuable asset for a poor
family because illness drains almost half the hard
earned money
 Health initiatives:
 Runs a rural hospital with subsidized treatment (Palakkad, Kerala)
 Runs a nursing school with reservations for the children of clients
 10,000 women educated on cleanliness and hygiene (WASH)
 Health entrepreneur project to control non-communicable
diseases (NCDs); local women trained, can earn an income
through services.
13
MOTIVATION TO UNDERSTAND
CLIENT NEEDS
 Client poverty (PPI assessment in 2014)
 25% live in extreme poverty (USD 1.25 PPP)
 75% are poor (below USD 2.5 PPP)
 1 day lost to ill-health affects the overall income of a
poor household, which can even lead to over-
indebtedness
 We understand that our client’s awareness translated
into good health practices is therefore key to a
healthy life
 Can help ESAF to focus its health projects/initiatives if
the gaps are so evident
KEY LEARNINGS FROM CLIENT
HEALTH DATA
 OPEN DEFECATION: Need to focus in areas where
open defecation has been reported; offer them water
and sanitation loans.
 LOW-COST NUTRITUTIONAL FOOD: Information on the
intake of low-cost nutritional foods to be included in
the health modules.
 ANNUAL ASSESSMENT: Regular monitoring of the key
health indicators and detailed health assessment of
additional indicators to be conducted at once in an
year.
 CORRELATION: Health to be correlated with poverty
levels
CHALLENGES IN COLLECTING,
INTERPRETING, AND USING THE
DATA
 As it was collected by the loan officers, the form had
to be translated in the vernacular language.
 There were no major challenges as the questions are
fairly simple and easy to collect.
16
PLANS MOVING FORWARD
 Incorporated the key relevant health indicators in
ESAF’s client profile form, which will be tracked on
census basis.
 Water purification
 Delayed medical treatment
 Periodic collection and analysis of health indicators to
understand the change in the awareness and behavior
change levels of the clients.
 PPI + nutritional intake of food, WASH, affordability of medical
treatment
 Use the key findings to plan and focus on products
and services that can have direct relation on the health
of the clients.
A Healthy Client / Citizen
Health Education (MCS-FFH) Health Camps (850 Hospitals)
Health Help Line
Savings through referrals to
network hospital
Telemedicine with Apollo
MOTIVATION TO UNDERSTAND
CLIENT NEEDS
 Essential to Equitas’ mission statement: “To Improve
quality of life of client”
 Hence studied initiatives to drive mission
 Equitas understands that access to affordable
healthcare is a key pain-point for members. To bridge
this gap, we carefully piloted and achieved scale since
inception (2007) on:
 Primary health screening of over 2.7 million people
 Referrals to 28,791 people for in-patient treatment at a discount
through linkage to a network of 850 hospitals
 Fortified with helpline, telemedicine, and health education
KEY LEARNINGS FROM CLIENT
HEALTH DATA
 Association between food security and fruit & dairy
consumption
 Water treatment
 But not very strong reference with economic
indicators
CHALLENGES IN COLLECTING,
INTERPRETING, AND USING THE
DATA
 Questionnaire to be more specific
 Not a representative sample:
 administered at the Branch
 covered 2nd cycle and above clients
 Not able to cover Pan India to study different locations
 Only Equitas clients covered
 No control sample
 Tamil Nadu is well served by health services compared
to some backward states like Madhya Pradesh,
Rajasthan, etc
 Negligent rural coverage; respondents mostly urban &
peri-urban with good health services
21
PLANS MOVING FORWARD
 Conduct larger survey covering sample for different
locations across India
 Select both rural & urban belts
 Revise questionnaire to cover more questions on
health and other parameters, like frequency of intake
and definition of fruits to include simple and cheap
fruits like banana, etc
 Questionnaire to be administered to male & female
respondents
 Repeat survey after 6-8 months from same customers
to track changes over time
 Capture types of water treatment
Contact us
Bobbi Gray
bgray@freedomfromhunger.org
DSK Rao
dskrao@microcreditsummit.org
Sandhya Suresh
mresearch@esaf.in
John Alex
johnalexa@equitas.in

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Healthy, Wealthy, and Wise: How MFIs Can Track the Health of Clients

  • 1. Healthy, Wealthy, and Wise: How MFIs Can Track the Health of Clients March 4, 2015 John Alex, Equitas DSK Rao, Microcredit Summit Campaign Bobbi Gray, Freedom from Hunger Sandhya Suresh, ESAF
  • 2. HEALTHY, WEALTHY, AND WISE: HOW MFIS CAN TRACK THE HEALTH OF CLIENTS Join us on Twitter #HWWwebinar 2
  • 3. PANELISTS Dr. DSK Rao, Regional Director for Asia- Pacific, Microcredit Summit Campaign, India Bobbi Gray, Research and Evaluation Specialist, Freedom from Hunger, USA Sandhya Suresh, Sr. Manager Research and Development, ESAF Microfinance and Investments Pvt. Ltd., India John Alex, Group Head-Social Initiatives & Program Director, Equitas Development Initiatives Trust, India
  • 5. THEORIES OF CHANGE: IMPROVED HEALTH Access to and use of financial services: loans; insurance; savings; payments; health loans and savings Increased income Consumption smoothing Seek prompt medical treatment Seek preventive health care Coping with Health Shocks Access to and use of health services: education, provision of curative and preventive health services Improved health knowledge Seek prompt medical treatment Seek preventive health care Integrated health and financial services: direct provision and linkages between sectors Cross-sectoral efficiency gains in provision of financial and health services to poor populations Seek prompt medical treatment Seek preventive health care Coping with Health Shocks Improved health outcomes
  • 6. GLOBAL HEALTH INDICATORS PROJECT 0 10 20 30 40 50 60 70 80 1 2 3 4 5 6 7 8 9 10 %ofClients Year Health Indicators Tracking Food Security Lack of treatment due to cost % below poverty line (PPI)
  • 7. CHOOSING HEALTH INDICATORS Criteria Feasibility Usability Reliability Likelihoodof inclusion Measurable by a Financial Service Provider (FSP) Can be reported in client survey Can change in short-term Addresses relevant measures for FSPs Cannot rely on specific interventions to change outcomes Be applicable for both genders Can be benchmarked to other data (MDGs, regional data, etc.) Reliability PPI/PAT Yes Yes Maybe Yes Yes Yes Yes Yes High Food security index Yes Yes Yes Yes Yes Yes Yes Maybe High Use of preventive health services Yes Yes Yes Maybe Maybe Yes Maybe Maybe High/ Moderate Access to safe drinking water (MDG 7) Yes Yes Maybe Yes Maybe Yes Yes Maybe High/ Moderate
  • 8. INCLUDED IN HEALTH OUTCOME PERFORMANCE INDICATORS (HOPI)  Poverty (Progress out of Poverty Index)  Food Security and Nutrition  Preventive Health Care Services  Sanitation and Safe Water  Curative Health Care  Attitudes
  • 10. RESEARCH RESULTS: ESAF, INDIA 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% ESAF HOPI Dashboard on Poverty and Health (2014) ESAF India Correlated with Poverty
  • 11. RESEARCH RESULTS: EQUITAS, INDIA 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Equitas HOPI Dashboard on Poverty and Health (2014) Equitas India Correlated with Poverty
  • 12. GUIDING QUESTIONS FOR ESAF AND EQUITAS  What is your motivation for understanding client health?  What did you learn about your clients from the health indicators?  Were there any challenges in either collecting, interpreting, using the data?  What your plans going forward in use of the health indicators?
  • 13. ESAF MICROFINANCE (INDIA)  700,000 low income families ~ 7 states ~ 175 branches  15 loan products developed through need assessment studies  “Good health” is the most valuable asset for a poor family because illness drains almost half the hard earned money  Health initiatives:  Runs a rural hospital with subsidized treatment (Palakkad, Kerala)  Runs a nursing school with reservations for the children of clients  10,000 women educated on cleanliness and hygiene (WASH)  Health entrepreneur project to control non-communicable diseases (NCDs); local women trained, can earn an income through services. 13
  • 14. MOTIVATION TO UNDERSTAND CLIENT NEEDS  Client poverty (PPI assessment in 2014)  25% live in extreme poverty (USD 1.25 PPP)  75% are poor (below USD 2.5 PPP)  1 day lost to ill-health affects the overall income of a poor household, which can even lead to over- indebtedness  We understand that our client’s awareness translated into good health practices is therefore key to a healthy life  Can help ESAF to focus its health projects/initiatives if the gaps are so evident
  • 15. KEY LEARNINGS FROM CLIENT HEALTH DATA  OPEN DEFECATION: Need to focus in areas where open defecation has been reported; offer them water and sanitation loans.  LOW-COST NUTRITUTIONAL FOOD: Information on the intake of low-cost nutritional foods to be included in the health modules.  ANNUAL ASSESSMENT: Regular monitoring of the key health indicators and detailed health assessment of additional indicators to be conducted at once in an year.  CORRELATION: Health to be correlated with poverty levels
  • 16. CHALLENGES IN COLLECTING, INTERPRETING, AND USING THE DATA  As it was collected by the loan officers, the form had to be translated in the vernacular language.  There were no major challenges as the questions are fairly simple and easy to collect. 16
  • 17. PLANS MOVING FORWARD  Incorporated the key relevant health indicators in ESAF’s client profile form, which will be tracked on census basis.  Water purification  Delayed medical treatment  Periodic collection and analysis of health indicators to understand the change in the awareness and behavior change levels of the clients.  PPI + nutritional intake of food, WASH, affordability of medical treatment  Use the key findings to plan and focus on products and services that can have direct relation on the health of the clients.
  • 18. A Healthy Client / Citizen Health Education (MCS-FFH) Health Camps (850 Hospitals) Health Help Line Savings through referrals to network hospital Telemedicine with Apollo
  • 19. MOTIVATION TO UNDERSTAND CLIENT NEEDS  Essential to Equitas’ mission statement: “To Improve quality of life of client”  Hence studied initiatives to drive mission  Equitas understands that access to affordable healthcare is a key pain-point for members. To bridge this gap, we carefully piloted and achieved scale since inception (2007) on:  Primary health screening of over 2.7 million people  Referrals to 28,791 people for in-patient treatment at a discount through linkage to a network of 850 hospitals  Fortified with helpline, telemedicine, and health education
  • 20. KEY LEARNINGS FROM CLIENT HEALTH DATA  Association between food security and fruit & dairy consumption  Water treatment  But not very strong reference with economic indicators
  • 21. CHALLENGES IN COLLECTING, INTERPRETING, AND USING THE DATA  Questionnaire to be more specific  Not a representative sample:  administered at the Branch  covered 2nd cycle and above clients  Not able to cover Pan India to study different locations  Only Equitas clients covered  No control sample  Tamil Nadu is well served by health services compared to some backward states like Madhya Pradesh, Rajasthan, etc  Negligent rural coverage; respondents mostly urban & peri-urban with good health services 21
  • 22. PLANS MOVING FORWARD  Conduct larger survey covering sample for different locations across India  Select both rural & urban belts  Revise questionnaire to cover more questions on health and other parameters, like frequency of intake and definition of fruits to include simple and cheap fruits like banana, etc  Questionnaire to be administered to male & female respondents  Repeat survey after 6-8 months from same customers to track changes over time  Capture types of water treatment
  • 23. Contact us Bobbi Gray bgray@freedomfromhunger.org DSK Rao dskrao@microcreditsummit.org Sandhya Suresh mresearch@esaf.in John Alex johnalexa@equitas.in

Editor's Notes

  1. Kristen: “Thank you for joining us for our webinar. We will start in 5 minutes. “Welcome to “Healthy, Wealthy, and Wise: How MFIs Can Track the Health of Clients,” a webinar hosted by SEEP’s HAMED working group in partnership with the Microcredit Summit Campaign. I would like to introduce today’s moderator, Dr. DSK Rao; he is regional director for the Asia-Pacific at the Microcredit Summit Campaign and is based in Hyderabad, India. ”
  2. Kristen: “Dr. Rao is a certified trainer of poverty measurement tools, including the Cashpor House Index (CHI), Participatory Wealth Ranking (PWR), and the Progress out Of Poverty Index (PPI). He is presently implementing, in collaboration with Freedom from Hunger, a project in India funded by Johnson & Johnson in which he is providing technical assistance to local microfinance partners to integrate health and microfinance. Dr. Rao is working on health integration with some of the largest and most reputed MFIs in India. He also coordinated with Equitas and ESAF in piloting the Health Outcome Performance Indicators (HOPI) project.” DSK: “Thank you, Kristen. Before we begin I want to mention that we will be taking questions from the audience throughout the discussion today. If you look on the right you should see the Question & Answer section there. Please submit your questions as they occur to you—don’t wait till the end—and we will integrate them into our conversation. Unfortunately, this is a short session, so we won’t be able to answer all of your questions today; however, we will do our best to answer the rest of the questions in our blog post afterward on the Microcredit Summit Campaign’s 100 Million Ideas blog.”
  3. DSK: Our panelists for today’s discussion are: Bobbi Gray, Research and Evaluation Specialist, Freedom from Hunger, USA Sandhya Suresh, Sr. Manager Research and Development, ESAF Microfinance and Investments Pvt. Ltd., India John Alex, Group Head-Social Initiatives & Program Director, Equitas Development Initiatives Trust, India Bobbi, please advance to slide 4
  4. DSK: “We would like to begin the discussion by finding what your experience with health and microfinance is. If you would like, we would be interested in you expanding on what your experience is. We won’t have time to read those out during the webinar, but we will review your input and capture it in the blog post event recap that will follow. “We’ll give you a minute to submit your answers. “Do you offer health products and services? [DSK can give examples of what we mean while the audience is answering the poll] “[DSK takes a quick look at the results and comments on what % of the audience is experienced in offering health products and services] “Next poll question, please, Kristen. “Have you ever collected data on client health outcomes? “[DSK takes a quick look at the results and comments on what % of the audience is experienced in collecting data on client health outcomes]”
  5. DSK: “Let me introduce you to Bobbi Gray from Freedom from Hunger who will be presenting the health indicators and results from our pilot.” Bobbi: “There are multiple roads to improving health. “1. Microfinance == Theory of change suggests clients should be more likely to seek out health care, be more food secure because households have more income to seek health care and feed their families. “2. Health == Theory of change suggests patients will be healthier if they seek and access preventive and curative care services in a timely manner. “3. Microfinance and Health == clients will have more income and will more likely seek health care because of that income (which is more greatly protected because client is healthier) increased trust, convenience of services.”
  6. Bobbi: “In the end, we’d hope that FSPs would be able to manage their decisions based on a dashboard such as the simple one presented here. They’d be tracking client poverty status and client health status over time and working to understand the relationships among indicators, but also how these indicators are indicative of client well-being overall.”
  7. Bobbi: “So, let’s talk about how we worked to establish indicators that could meet our goals. We first established a set of criteria that we would use to measure each indicator against. This model was copied after a public health effort to establish health indicators for health programs. Three basic criteria were established: feasibility, usability, and reliability. Under these indicators, there are sub-indicators. IN short, we wanted indicators that FSPs could measure, that could be reported in a client survey, that could change in the short term, that were relevant for FSPs, that wouldn’t initially rely on specific interventions, and were applicable for both genders. While MFIs typically focus on women, many serve men and women alike. They could be benchmarked and were reliable. Finally, after rating each indicator against the criteria, we determined the likelihood of the indicator being included. What we wanted to float to the top were indicators that met all or most of the criteria.”
  8. Bobbi: “In the end, we’ve found that there are some indicator areas that hold the most promise: obviously the PPI since we’re trying to build on top of poverty measurement processes used by FSPs. Food security and nutrition, preventive health care services, sanitation and safe water, and financial stress. Basically under each area, there are indicators that are very similar and can be used in many contexts with some adaptation.”
  9. Bobbi; “ESAF Microfinance, headquartered in Kerala, India, has a client base of 450,000 low-income women in five states of India. In addition to its microfinance services, ESAF runs two hospitals and two health clinics where ESAF clients and other low-income people can access health services at reduced rates. They also facilitate community-based health camps where clients can receive medical checkups and receive timely medical treatment as well as facilitate health education within their self-help groups (Saha 2014). Monitoring the health outcomes of ESAF clients is therefore of strategic importance to the organization. “For the health indicator survey, ESAF loan officers randomly selected 700 new clients across all of its branches; 100 new clients from seven different branches across India located in Chhattisgarh (Mahasamund), Kerala (Chalakudy, Koilandy, Kottayam, Venjaramoodu), Maharashtra (Wardha) and Tamil Nadu (Maduranthakam). Each branch consists of ten loan officers. Each officer was responsible for interviewing ten clients (7 branches  10 loan officers  10 clients=700 clients). Clients were included in the survey if they were in their first loan cycle so that baseline measurements could be obtained. These clients will be re-interviewed when they reach their fourth year as a client. “Children of new ESAF clients were slightly less likely to eat fruit than children nationally, and they consumed slightly fewer dairy products. ESAF participants were more likely than women nationally to deliver their youngest child in a hospital. Roughly one-half of the children under the age of five (CU5) represented in this survey received vitamin A oil, while nearly 60 percent of children nationally receive vitamin A oil. Technically, all children should be receiving a vitamin A supplement when they receive their vaccinations, but not all mothers are aware that their child has been given this supplement without referencing the child’s vaccination card. Compared to the national average, ESAF participants were more than twice as likely to treat their water and less likely to defecate in the open. ESAF participants were also more likely to delay seeking medical attention due to cost compared to the national average. “The indicators correlated to the poverty level were dairy consumption, the youngest child being born in the hospital and treatment of drinking water. For all three indicators, the less poor the client, the more likely she consumed dairy, had her youngest born in a hospital and treated her drinking water. ESAF, consequently, sees opportunities for improvement in health outcomes among this cohort of incoming clients.”
  10. Bobbi:  Equitas in India works in Tamil Nadu (headquarters), Pondicherry, Rajasthan, Maharashtra, Madhya Pradesh, Karnataka and Gujarat and reaches over 2.5 million low-income clients. Equitas provides both financial and nonfinancial services. Health care tops Equitas’ nonfinancial services and includes health education, telemedicine services, linkage to hospitals for subsidized treatment, regular health camps and pharmacies for discounted medicines. They also provide a health helpline that guides clients to the nearest hospitals (Saha 2014). Monitoring and measuring the health outcomes of their clients is therefore of strategic importance to the organization. “The Equitas HOPI questionnaire was administered by 20 Equitas Corporate Social Responsibility officers in 176 branches within the states of Pondicherry and Tamil Nadu. While this report only covers 234 participants, a total of 551 interviews were completed. At the time of this report, only 234 of the 551 interviews had been analyzed. Mature clients were randomly selected to take surveys when they came to visit branches for second-, third- or fourth-cycle loans. “Equitas client poverty levels in Tamil Nadu and Pondicherry are equal to the national average or slightly under, which may be indicative of the sample consisting of mature clients. As will be stated elsewhere, given the location of the pilot, primarily in Tamil Nadu, comparing the pilot data to state-level averages would likely be more useful as Tamil Nadu in particular is an economically stronger state compared to other states in India. In most cases, Equitas clients are better off health-wise than the average citizen: fewer reported defecating in the open, more reported consuming dairy, more of their youngest children were reported to have been born in the hospital, more reported treating their water and fewer indicated they delayed medical treatment due to cost. Equitas clients consumed less fruit than the national average; it was also below the national average for vitamin A supplementation. Like ESAF, this low reporting may have something to do with mothers not being aware of the supplementation when given at health clinics during vaccination visits. Validation of the accuracy of the report would most likely require reference of the vaccination card to know whether it is a recall or reporting issue or actually poor vitamin A supplementation rates. “The only indicator that was correlated with poverty with a p≤0.05 level of confidence was whether the household treated their water (indicated by the green shading). Those who reported that their children received vitamin A was almost correlated, but was over the p≤0.05 level of confidence (but under p≤0.10). In both cases, the poorer the client, the more likely she reported treating her water and that her children received vitamin A supplementation. Given this dynamic, this might suggest there are local initiatives that are intentionally targeting poorer populations. This is something worth exploring further.” DSK: So, we have this question from the audience. Bobbi, “[question DSK picks]?” [Bobbi answers question(s)]
  11. DSK: “Thank you Bobbi. So, we’ve invited two of our partners to share their experience collecting, analyzing, and using the indicators. And we would like to know from them the following: What is your motivation for understanding client health? What did you learn about your clients from the health indicators? Were there any challenges in either collecting, interpreting, using the data? What your plans going forward in use of the health indicators? “Now I turn the presentation over to Sandhya from ESAF.”
  12. Sandhya: “Bobbi, are we on slide 13, “ESAF Microfinance (India)”?” Bobbi: “Yes, we are.” Sandhya: “ESAF Microfinance reaches out to about 700 thousand low income families spread across 7 states of India through a network of 175 branches. “ESAF Microfinance offers about 15 different loan products that has been developed on the basis of the need assessment studies carried out with the customers. “ESAF Microfinance recognises the fact that ‘Good health’ is the most valuable asset for a poor family, who otherwise drains almost half the hard earned money in treating their families due to illnesses. “Some of the initiatives in health undertaken by ESAF: “Runs a hospital in a remote location of Palakkad in Kerala with subsidized treatment for the microfinance clients. “Runs a nursing school with reservations for the children of microfinance clients. “Awareness sessions on cleanliness and hygiene using the WASH module of Freedom from Hunger-10,000 women reached “Health entrepreneur project aiming at control of Non communicable Diseases through training the local women whereby they earn an income of their own. “Bobbi, please advance to the next slide.”
  13. Sandhya: Motivation to understand client needs “25% of ESAF’s client live in extreme poverty (USD 1.25 PPP) and 75% are poor below USD 2.5 PPP (PPI,2014).A day lost to ill- health affects the overall income of a poor household which can even lead to over-indebtedness. “We understand that our client’s awareness translated into good health practices is therefore key to a healthy life. “The information about the key indicators that determine the health of our customers can help ESAF to focus its health projects/initiatives if the gaps are so evident.” Bobbi, please advance to the next slide.
  14. Sandhya: Key learnings from client health data “Need to focus in areas where open defecation has been reported to offer them water and sanitation loans. “Information on the intake of low cost nutritional foods to be included in the health modules. “Regular monitoring of the key health indicators and detailed health assessment of additional indicators to be conducted at once in a year. “Health to be correlated with poverty levels. “Bobbi, please advance to the next slide.”
  15. Sandhya: “As it was collected by the loan officers, the form had to be translated in the vernacular language. “There were no major challenges as the questions are fairly simple and easy to collect. “Bobbi, please advance to the next slide.”
  16. Sandhya: Plans moving forward “Incorporated the key relevant health indicators in ESAF’s client profile form, which will be tracked on census basis. “If water is purified before use, then which method of purification is used? “Did you delay your medical treatment in the past on year due to lack of money? “Periodic collection and analysis of health indicators to understand the change in the awareness and behavior change levels of the clients. “Including PPI, there will be some questions on nutritional intake of food, WASH, affordability of medical treatment “Use the key findings to plan and focus on products and services that can have direct relation on the health of the clients.” DSK: “So, we have this question from the audience. Sandhya, “[question DSK picks]?”” [Sandhya answers question(s)] “Thank you, Sandhya. Now I turn the presentation over to Alex from Equitas.”
  17. Alex: “Equitas was established in 2007 for extending business loans to women micro-entrepreneurs who have limited access to formal financial services. Equitas adopts modified Grameen model for providing financial services. “Equitas believes in efficient back-end system to enable rapid scalability in order to serve the needs of credit-thirsty micro-entrepreneurs. Outreach of Equitas grew phenomenally, reaching 2.5million active borrowers within 7 years. Equitas has now operations in 7 States with 370 branches. “The mission of Equitas is to serve those who are not effectively serviced by the formal financial sector. Equitas believes in improving the quality of life of clients by increasing total household asset value. Equitas focuses to provide transparent and trustworthy access to financial and other relevant products and services by deploying cutting edge technology and forming partnerships and alliances. In line with this mission Equitas has developed a wide range of ecosystem initiatives ranging from Education (Equitas runs 6 regular schools), Skill Development (trained 363,627 clients in vocational skills), Food Security in times of emergencies (runs cooperative stores catering to over 150,000 families), Placement Services (28,564 unemployed youth engaged in employment). “Bobbi, please advance to the next slide.”
  18. Alex: Motivation to understand client needs “Imbibed in the mission statement of Equitas “ To Improve quality of life of Client” “Hence studied initiatives to drive mission “Equitas understands that access to affordable healthcare is a key pain-point for members. Towards bridging this gap the following initiatives were carefully piloted and achieved scale since inception (2007) “Primary health screening of over 2.7 million people “Referrals' to 28791 people for inpatient treatment with tie up with a network of 850 hospitals at a discount “Fortified with helpline, telemedicine & health Education “Bobbi, please advance to the next slide.”
  19. Alex: Key learnings from client health data “Significant learnings on association between food security and fruit & diary consumptions “Water treatment “But not very strong reference with economic indicators “Bobbi, please advance to the next slide.”
  20. Alex: Challenges in collecting, interpreting, and using the data “Questionnaire to be more specific “The Q form was administered at the Branch and covered 2nd cycle and above clients thus not a representative sample “Not able to cover Pan India to study different locations “Only Equitas Clients covered and no control sample “TN state is well served by health services compared to some backward states like MP, Rajasthan etc “Negligent rural coverage as the respondents were mostly urban & peri urban with good health services “Bobbi, please advance to the next slide.”
  21. Alex: Plans moving forward “Conduct larger survey covering sample for different locations Pan India Select both rural & Urban belts “Revise Q form to cover more questions on health and other parameters, like frequency of intake and definition of fruits to include simple and cheap fruits like banana etc “Q form to be administered to Male & Female respondents “Repeat survey after 6- 8 months from same customers to measure the impact “Capture Types of water treatment DSK: “So, we have this question from the audience. Alex, “[question DSK picks]?”” [Alex answers question(s)] Thank you, Alex.
  22. DSK: “So we have 5 minutes until time here but it looks like we still have quite a few questions coming in. I have conferred with our speakers ahead of time and they’ve graciously agreed to stay on an extra 15 minutes and we’ll work hard to get as many questions in as we can. “We are going to prioritize questions for Sandhya and Alex, and we will try to answer other questions in our blog recap. If you have further questions for the panelists, you may contact them directly via email which you’ll find on the slide before you.” [DSK asks Bobbi, Sandhya, and Alex questions—his own or from the audience—for the next 15 or so minutes.] At around 10:43 DSK: “I’d like to thank our panelists for joining us today and helping to shed a lot of light on the potential of the Health Outcome Performance Indicators. We encourage you to get in touch with us if you have further questions for Sandhya and Alex as to their experience with the indicators or if you would like to learn more about the indicators to consider adopting them yourself. We thank you for joining us today! We hope you enjoyed it. Please provide some feedback by completing the webinar evaluation, which will pop up when you close this screen.”