Monthly Corner
Astha Ramaiya [Co-author] Shared the Journal Article - Published in Child Abuse & Neglect, June 2026
A new systematic review published in Child Abuse & Neglect examined the link between mental health and technology-facilitated child sexual exploitation and abuse (TF-CSEA). Analysing 10 studies with over 25,000 participants across seven countries, researchers found that depression, anxiety, low self-esteem, and prior trauma were consistently associated with victimisation. Crucially, the relationship appears bidirectional with mental health difficulties both preceding and resulting from exploitation; creating potential cycles of repeated harm. Perhaps most striking: traditional parental monitoring through technological surveillance showed limited protective effects. What actually mattered? The quality of parent-child relationships including, open communication, emotional warmth, and trust. The findings suggest prevention efforts should combine universal school-based programmes building emotional resilience with targeted support for high-risk youth, while parent education should prioritise connection over control. With 12.5% of children globally experiencing online solicitation annually, understanding these psychological pathways is essential for effective child protection.
Alok Srivastava, Vasanti Rao & Amita Puri Article on International Journal of Community Medicine and Public Health, January 2026
Tara Prasad Article on Challanges and Lessons Learns of GESI responsive and inclusive conservatiom practices, Nepal
Ritu Dewan & Swati Raju Article on Economic and Political Weekly
Viera Schioppetto shared Thesis on Gender Approach in Development Projects
Events
Vacancies
- Seeking Senior Analyst - IPE Global
About the job
IPE Global Ltd. is a multi-disciplinary development sector consulting firm offering a range of integrated, innovative and high-quality services across several sectors and practices. We offer end-to-end consulting and project implementation services in the areas of Social and Economic Empowerment, Education and Skill Development, Public Health, Nutrition, WASH, Urban and Infrastructure Development, Private Sector Development, among others.
Over the last 26 years, IPE Global has successfully implemented over 1,200 projects in more than 100 countries. The group is headquartered in New Delhi, India with five international offices in United Kingdom, Kenya, Ethiopia, Philippines and Bangladesh. We partner with multilateral, bilateral, governments, corporates and not-for-profit entities in anchoring development agenda for sustained and equitable growth. We strive to create an enabling environment for path-breaking social and policy reforms that contribute to sustainable development.
Role Overview
IPE Global is seeking a motivated Senior Analyst – Low Carbon Pathways to strengthen and grow its Climate Change and Sustainability practice. The role will contribute to business development, program management, research, and technical delivery across climate mitigation, carbon markets, and energy transition. This position provides exceptional exposure to global climate policy, finance, and technology, working with a team of high-performing professionals and in collaboration with donors, foundations, research institutions, and public agencies.
Designing for Data Use
This post was originally posted at: http://www.publichealthstrategies.net/designing-for-data-use/
This blogpost summarizes a talk I gave at the Evaluation Community of India’s recent “EvalFest” from the 7th-9th February at the Indian Habitat Centre. It advocates for using “user-centred” approaches for promoting data use, including understanding- and even creating - new influence pathways. It also highlights that different decisions have specific information needs and these should be met by the evaluator.
During last week’s EvalFest, a sticky point emerged...and then emerged again.
What happens when you do everything right – conduct a rigorous evaluation, engage stakeholders at every level, get fantastic results and then….the government completely ignores your data? Speakers from JPAL and Breakthrough, among others, mentioned this situation.
What Can We Learn from Design Research?
I live in Bangalore where I miss a lot of the national level policy dialogue. But I am geographically blessed in that Bangalore is home to many R&D centres for healthcare – such as Phillips Innovation Campus and GE Healthcare. This means that on occasion I get to work with designers and engineers – people in the process of building new healthcare products. I have found they do a lot of research too – they need to understand the context, the market and perceived needs if they are going to design a new health care product for the facility or the home. I typically find their approach less rigorous than what we do in the development sector – but there are things they do much better, and I think we should learn from them.
One thing is they are always guided by the needs of the user. User needs is the guiding star in everything they do.
Evaluations are a Decision Making Support Product?
In evaluation (and M&E generally) what are we doing except designing products for decision-makers to make better policy and management decisions? Our data cannot transform anything unless decision-makers use it. We often don’t think of it that way because we like to consider ourselves working towards a higher cause (building the global knowledge base, helping eliminate poverty…). However, by failing to think this way, we are undermining our own potential as a change-maker – as a transformative leader (the role set out for us in the keynote session). We need to make products that are used.
Obviously, management and policy decisions are made in a complex environment with many different influential factors. But we want our data to be the main deciding factor.
What would this take? We need to make sure our data is relevant, and that it’s meeting a perceived need. And it’s not just one decision maker – to implement a new innovation, or take new data into account – decisions need to be made at many levels of the health system; the national level, the state level the district and the health worker level (as other speakers highlighted). We need to make sure we provide the right information for people at each level of the health system.
Creating a User Profile
One trick I have learned from designers is to create a user profile – this is a profile of a person who would use your product. To create a really good product (data!) we need to truly empathize with the decision maker (data user!)– really understand the challenges they face, and the pain point in their day.
These are some of the questions you can consider:
- What decisions does he have to make?
- What does s/he care about?
- How flexible is s/he?
- Does he have the bandwidth to respond to new information?
- What would it take for him/ her to take on something new?
- How much autonomy does s/he have?
- Who else is involved in making decisions?
- How does your data help him/her make his life and job easier?
I find creating something like this is a fun activity for a research or project team – make sure everyone understands the activity is confidential and so everyone can feel free to highlight the idiosyncrasies of the decision makers you are targeting.
Data Use Influence Pathways
We also have to recognize that there are different influence pathways to data being used, including interpersonal and collective mechanisms. Not many decision makers have the autonomy to make decisions on their own, even if they have great data to back it up. Understanding the influence pathways means not just understanding the decision-maker – but also the context in which decisions are made.
Sometimes this means we might have to introduce new influence pathways. For example:
- In Uttar Pradesh, CRS project staff went to meetings at the PHC level and the district level and talk them through the health worker performance data that emerged from the ReMiND app. This hand-holding helped them establish a habit of data use.
- The Ananya project in Bihar instituted monthly meetings at the PHC level to review routine data – to track the facility and health worker performance. The approach adopted in the meetings was non-punitive, focused on problem-solving. By taking such an approach, new insights can be gathered from different stakeholders about how to interpret and make the right decisions from the data.
Different Information Needs for Different Decisions
Of course, we do not just have to understand the user of the data (ie. the decision maker), we also need to understand the data needs of each and every different decision. Even a simple decision like scale up (a key goal of many people presenting their data at EvalFest) has many different angles – do you want the government to adopt the program, to fund the program, to give permission for you to scale up – in each case the information needs will be different.
A big thank you to the EvalFest organisers for having me at the event.
If you liked this...I have written before about user-centred design as a tool for public health here, here and here. I've written before about M&E in public health here and here. And I have written about data for decision making here, and routine data here.
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