Missed Medical Care: Can Health Data Reveal Treatment

What does WHO evidence reveal about missed medical care?

WHO announced its SCORE for Health Data Technical Package on August 27, 2020, to strengthen how countries collect, assess and use health information. Its relevance to missed care is straightforward: health systems need reliable information about whether essential services are reaching people. The announcement is historical; the underlying challenge remains a useful focus for public health analysis. [WHO’s SCORE announcement](https://www.who.int/news/item/27-08-2020-new-who-technical-package-health-data-for-covid-19-response).

A subsequent WHO survey, conducted from November 2022 through January 2023, received responses from 139 countries, territories and areas. Among 84 jurisdictions with comparable responses across survey rounds, the average percentage of disrupted services declined from 56% in July–September 2020 to 23%. That improvement still left substantial gaps. Crucially, these percentages describe reported disruption across services; they do not mean that 23% of patients missed treatment. The findings reflect assessments by country informants and are subject to reporting and representativeness limitations. They describe the historical survey period, rather than current service availability. [WHO’s survey findings](https://www.who.int/news/item/02-05-2023-new-survey-results-show-health-systems-starting-to-recover-from-pandemic).

Why can appointment numbers hide unmet health needs?

WHO’s guidance distinguishes service use from access. Attendance depends on whether services are available, whether people can reach and afford them, and whether they choose to seek care. Consequently, a fall in clinic visits has several possible explanations. It could reflect reduced illness, financial barriers, unavailable services or incomplete reporting. The interpretation requires supporting evidence. [WHO’s guidance on integrated health services analysis](https://www.who.int/publications/b/65926).

An illustrative example shows the problem: a clinic could record more appointments because existing patients return more frequently, while other residents remain unable to obtain an initial consultation. WHO’s analytical guidance therefore supports examining new visits and repeat visits separately. Likewise, a returning appointment total does not establish that an accumulated waiting list has cleared. For readers assessing claims of recovery, the useful questions are who received care, which services they received and how long they waited. These distinctions help prevent busy clinics from being mistaken for evidence that all community needs are being met.

How can better health records help close treatment gaps?

WHO describes routine health information systems as a way to monitor service performance frequently, sometimes monthly or almost in real time. However, useful monitoring depends on consistent reporting. Missing facility reports, incomplete private-sector coverage and limited staff time or training can distort the picture. A sudden drop in recorded activity should therefore trigger checks of both service delivery and data completeness. [WHO’s health service data guidance](https://www.who.int/data/data-collection-tools/health-service-data).

A practical application would be to investigate a decline in follow-up visits alongside clinic opening hours, medicine availability and referral backlogs. The response could then address the identified obstacle, such as restoring supplies or contacting people whose appointments were postponed. This is an application of the monitoring framework, rather than proof that a particular dashboard improves health outcomes. Evaluation should examine whether people actually obtain needed care after changes are made. More complete reporting is valuable because it makes those questions easier to answer; collecting additional numbers alone does not resolve a treatment gap.