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The pilot study examines whether and how public and private health providers’ information management systems (IMS) generate and use evidence through a gender and intersectionality lens, and how such evidence shapes decisions. It reviews existing IMS policies and guidance, interviews key informants in Kathmandu, and analyzes materials using a thematic framework approach.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/gender-and-social-stratifiers-in-the-health-information-management-system-pilot-project-report/237714/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/gender-and-social-stratifiers-in-the-health-information-management-system-pilot-project-report/237714.png","ImageObject",442,249,{"name":88,"@type":89},"Xiajie","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-10-19","2026-09-11",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",6,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What is the purpose of the pilot study?","Question",{"text":109,"@type":110},"To explore the availability of gender and other social stratifiers in public and private providers’ IMS, assess how disaggregated data is used in planning and decision-making, and design an evidence-informed framework for gender-equitable delivery of health services.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How was the study conducted?",{"text":114,"@type":110},"The study used qualitative methods and document review. It reviewed existing IMS policies, guidelines, and forms, and interviewed ten key informants across health facilities, municipalities, and health offices in Kathmandu.",{"name":116,"@type":107,"acceptedAnswer":117},"What were the main findings regarding IMS and gender disaggregation?",{"text":118,"@type":110},"While gender and social stratifiers are increasingly referenced in policies and national strategies, implementation was inconsistent. HMIS is the key platform for routine utilization data, but limited resources, insufficient trained staffing, and lack of regular DHIS2 training hinder effective functioning.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},237714,1789119360,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":126,"read_time":141},8814010472675,"https://avatar.qwps.com/avatar/WGlhamll","PARTNERSHIPS FOR EQUITY AND INCLUSION\nGender and social stratifiers in the Health Information Management System and use of evidence in local health planning- a case study of public and private health facilities in Nepal\nPILOT PROJECT REPORT\nAUTHORS\nDr. Sushil Baral, Ms. Shophika Regmi, Dr. Sampurna Kakchapati,\nMs. Puja K.C\nJune 2021\n\u000f\nThis report was produced as part of the activities of the \u0013 HYPERLINK \"https://medicinehealth.leeds.ac.uk/dir-record/research-projects/1366/partnerships-for-equity-and-inclusion\" \u0014Partnership for Equity and Inclusion\u0015, a collaboration of international research networks aiming to support equitable practice in public service institutions. Findings aim to inform policymakers and practitioners in public services as well as advocacy groups that seek to improve public service access, outcomes and representation for socially excluded populations.\nResearch team members:\nDr Sushil Baral (PI), Managing Director, HERD International\nMs Shophika Regmi, Senior Research Manager: Health Systems Research, Evaluation and Learning, HERD International\nDr Sampurna Kakchapati, Research Manager: Survey, Evaluation and Impact, HERD International\nMs Puja KC, Research and Data Management Officer, HERD International\nAbriti Arjyal, Research Manager: Qualitative and Multidisciplinary Science, HERD International\nDeepak Joshi, Research Manager: Operations Research and Evaluation, HERD International\n\u000f\nACRONYMS\nANC\t\tAntenatal Care\nDHIS\t\tDistrict Health Information Software\nGESI\t\tGender Equity and Social Inclusion\nHF\t\tHealth Facility\nHFOMC\tHealth Facility Operation Management Committee\nHMIS\t\tHealth Management Information System\nHP\t\tHealth Post\nIMS\t\tInformation Management Systems\nKII\t\tKey Informant Interview\nMICS\t\tMulti Indicator Cluster Survey\nMoHP\t\tMinistry of Health and Population\nNDHS\t\tNepal Demographic Health Survey\nNHRC\t\tNepal Health Research Council\nPNC\t\tPostnatal Care\nPEI\t\tPartnership for Equity and Inclusion\nUHC\t\tUrban Health Centre\n\u000f\nEXECUTIVE SUMMARY\nIntroduction\nThe availability of disaggregated data based on gender and social stratifiers allows policy makers and decision makers to enhance health outcomes and address inequities across gender and other stratifiers. There is a growing concern and recognition that gender and social stratifiers should be included in the routine Information Management Systems (IMS), however, it is less known whether, how and to what extent these IMS in public and private sectors provide evidence with a gender and intersectionality lens and how they inform decisions. Recognition of the importance of disaggregated data is growing, however, limited stratifiers available in the public and private sector IMS has prevented a comprehensive and contextual gender and intersectional analysis from routine data and hindered the planning of inclusive and equitable health services. Therefore, our pilot study aimed to explore the availability of gender and other social stratifiers in the IMS of public and private health providers, assess use of such disaggregated data in health sector planning and decision making and design an evidence-informed framework that promotes gender equitable delivery of health services.\nMethods\nThe pilot study was an exploratory study using a  of qualitative methods and document review. Document review included a review of existing IMS policies, guidelines, forms, formats, including national health policy, strategies and other documents. We interviewed a total of ten key informant interviews from health facilities, municipalities and health office of Kathmandu. We conducted this study in two municipalities of Kathmandu district of Province 3, which are Chandragiri Municipality and Kathmandu Metropolitan City. We selected two health facilities (one public and one private) in each municipality for data collection. Policy documents and qualitative data were analyzed using a thematic framework analysis approach.\nResults\nThe desk review found that the importance of gender and social ","cbCaidh43bgYT3Q7","https://ap.wps.com/l/cbCaidh43bgYT3Q7","docx",458628,37,"English","# Executive Summary\n## Introduction\n## Methods\n## Results\n## ACRONYMS","[{\"question\":\"What is the purpose of the pilot study?\",\"answer\":\"To explore the availability of gender and other social stratifiers in public and private providers’ IMS, assess how disaggregated data is used in planning and decision-making, and design an evidence-informed framework for gender-equitable delivery of health services.\"},{\"question\":\"How was the study conducted?\",\"answer\":\"The study used qualitative methods and document review. It reviewed existing IMS policies, guidelines, and forms, and interviewed ten key informants across health facilities, municipalities, and health offices in Kathmandu.\"},{\"question\":\"What were the main findings regarding IMS and gender disaggregation?\",\"answer\":\"While gender and social stratifiers are increasingly referenced in policies and national strategies, implementation was inconsistent. HMIS is the key platform for routine utilization data, but limited resources, insufficient trained staffing, and lack of regular DHIS2 training hinder effective functioning.\"}]","Gender and social stratifiers in the Health Information Management System - Pilot Project Report | DOCX",13]