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Hey im an mbbs intern . Can u help me prepare a ppt for my review meeting presentation (spm posting). My topic is data triangulation..ill give u the data i had collected from my phc for past 1 month..based on that u can create ppt of mini 25 pages...u can include why this data is collected,whats the importance of it, how it ll be usefull in medical field like that for ech data
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Your PPT is ready! Download it here:
DataTriangulation AndakkulamPHC
Presentation · PPTX
Here's a full breakdown of what's inside the 31-slide presentation (687 KB):
| Slide | Content |
|---|---|
| 1 | Title Slide – Data Triangulation in Primary Health Care |
| 2 | About the PHC – Andakkulam, Pudukkottai, Block Kunnandarkovil, April 2026 |
| 3 | Presentation Overview – 12-point index |
| 4 | Section Header – Concept of Data Triangulation |
| 5 | Definition – Denzin 1978, navigation analogy, SPM context |
| 6 | Types of Triangulation – Data, Investigator, Theory, Methodological |
| 7 | Why it Matters – 6 reasons (bias reduction, validation, equity, outbreak detection) |
| 8 | Data Sources Used – HMIS, OPD registers, ANC registers, lab registers, etc. |
| 9 | Section Header – OP/IP Case Load |
| 10 | OP Data Table – Shift-wise breakdown (3521 total OP, shift 1/2/3 split) |
| 11 | IP Admissions – SC/ST/Others breakdown, midnight census 265 |
| 12 | Why OP/IP Data is Collected – Epidemiology, equity, resource planning |
| 13 | Section Header – Maternal & Reproductive Health |
| 14 | Pregnancy Outcomes – 12 live births, 0 LBW, 100% early breastfeeding |
| 15 | Why Maternal Data is Collected – MMR/IMR, PC-PNDT, breastfeeding targets |
| 16 | Section Header – Family Planning |
| 17 | FP Services – IUD 9, OCP 100, Condoms 100, visual bar chart |
| 18 | Why FP Data is Collected – ASHA EC register, unmet need, national targets |
| 19 | Section Header – Communicable Disease & HIV |
| 20 | HIV/ICTC/DOTS Table – 105 counselled, 117 ICTC, 3 DOTS, 0 OI |
| 21 | Why HIV/DOTS Data is Collected – NACP, NTEP, Nikshay, cascade of care |
| 22 | Section Header – Special Clinics / NCD |
| 23 | Special Clinics Table – HTN 286, DM 153, TB 69, ICTC 117, Ophthalmic 157 |
| 24 | Why Special Clinic Data is Collected – NCD burden, NTEP, blind registry |
| 25 | Section Header – Triangulation Synthesis |
| 26 | Triangulation Matrix – 7 domains cross-verified with external sources |
| 27 | Key Insights – 6 findings from triangulation (ST gap, NCD dominance, etc.) |
| 28 | Limitations – Single-month snapshot, home delivery gap, no private data |
| 29 | Recommendations – 8 action points for better triangulation |
| 30 | Conclusion – Dark slide with 5 key takeaways |
| 31 | Thank You – With your posting details |
Colour scheme: Dark navy + teal + mint green (professional SPM/public health look). Every data slide includes a triangulation note explaining how that particular HMIS data is cross-verified. Good luck with your review meeting!
Create a summary document explaining key findings for your review
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The document is valid (Microsoft Word 2007+ format, 12 Heading-1 sections, 20 sub-headings). The tables are using inline cell XML which is correct. Download it here:
DataTriangulation KeyFindings Summary
Word Document · DOCX
Here's what's inside the summary document (12 sections, ~10 pages):
| Section | Content |
|---|---|
| 1. Introduction | What data triangulation is, Denzin 1978 reference, how HMIS is being triangulated |
| 2. PHC Profile | Formatted table – Andakkulam PHC, district/block/HUD codes, data period |
| 3. OP/IP Case Load | Shift-wise OP table, IP SC/ST/Others breakdown, triangulation note |
| 4. Maternal & Neonatal Health | Callout boxes for live births/stillbirths, newborn weight table, 100% EBF finding |
| 5. Family Planning | Full FP methods table with IUD, OCP, condoms, vasectomy, triangulation with EC Register |
| 6. HIV/STI/DOTS | Callout boxes for ICTC, counselling, OI surveillance table, DOTS figures |
| 7. Special Clinics & NCD | Full 8-clinic table with sessions, gender breakdown, avg/session |
| 8. Triangulation Matrix | 8-row matrix mapping each domain to the cross-verification source and the insight it produces |
| 9. Key Findings | 6 clearly written findings (NCD burden, maternal outcomes, ST gap, ICTC coverage, FP pattern, Shift 1 overload) |
| 10. Limitations | 5 honest limitations of single-source HMIS analysis |
| 11. Recommendations | Grouped by PHC admin / NCD / ST equity / maternal / data quality |
| 12. Conclusion | Summary paragraph tying all findings together |
The document has a running header ("DATA TRIANGULATION – KEY FINDINGS | Andakkulam PHC | April 2026") and a footer with page numbers on every page. Use it alongside the PPT for your review meeting.
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