Evidence map›Paper›PMID 42666569›Full record

ArticleHealth services insights2026

Integrative Monitoring of Hypertension Care Using Routinely Collected Clinical Data in Mexico's Emerging Federalised Public Health Care Provider.

Rubén Silva-Tinoco, Alejandro Avalos-Bracho, Gabriel Gutiérrez-Morales, Erick Vladimir Martínez-de la Cruz, Elena Monserrat Licona-León, María Fernanda Bernal-Ceballos

Abstract read
In one paragraph

Article in Health services insights, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rubén Silva-TinocoUnidad de Atención a la Salud, Servicios Públicos de Salud del Instituto Mexicano del Seguro Social para el Bienestar, Mexico City, Mexico.ORCID https://orcid.org/0000-0002-9716-5068
Alejandro Avalos-BrachoUnidad de Atención a la Salud, Servicios Públicos de Salud del Instituto Mexicano del Seguro Social para el Bienestar, Mexico City, Mexico.
Gabriel Gutiérrez-MoralesUnidad de Atención a la Salud, Servicios Públicos de Salud del Instituto Mexicano del Seguro Social para el Bienestar, Mexico City, Mexico.
Erick Vladimir Martínez-de la CruzUnidad de Atención a la Salud, Servicios Públicos de Salud del Instituto Mexicano del Seguro Social para el Bienestar, Mexico City, Mexico.
Elena Monserrat Licona-LeónUnidad de Atención a la Salud, Servicios Públicos de Salud del Instituto Mexicano del Seguro Social para el Bienestar, Mexico City, Mexico.
María Fernanda Bernal-CeballosUnidad de Atención a la Salud, Servicios Públicos de Salud del Instituto Mexicano del Seguro Social para el Bienestar, Mexico City, Mexico.ORCID https://orcid.org/0000-0002-9771-9796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Health information systems are a cornerstone for assessing health system performance, particularly for leading conditions contributing to disease burden, such as hypertension, making effective monitoring indispensable. In October 2023, Mexico initiated the federalisation of public health services for the population without social security, creating an integrated national public health care provider and increasing the need for system-level monitoring tools capable of supporting longitudinal assessment across heterogeneous settings. Objective: To describe the development and early application of an integrative monitoring platform using routinely collected clinical data to support system-level oversight of hypertension care within Mexico's federalised public health care provider. Design: Descriptive health services research study based on secondary analysis of routinely collected clinical data. Methods: An integrative monitoring platform was developed to organise data into a structured indicator framework covering four domains: care engagement and continuity; clinical care processes; intermediate clinical outcomes; and case-mix and clinical complexity. The platform enables longitudinal and subnational analyses across selected indicators presented as illustrative use cases. Institutional reach was assessed using an overall monitoring period from January 2024 to September 2025, while clinical process and intermediate outcome indicators, including blood pressure control, were calculated within a predefined active six-month monitoring cohort using the September 2025 reporting date. Results: From January 2024 to September 2025, a total of 486,044 individuals received hypertension-related care within primary care services across participating states. The active six-month cohort included 322,661 individuals, with 67.2% (95% CI, 67.04-67.37) achieving blood pressure control (<140/90 mmHg), and 36.8% (95% CI, 36.62-36.96) achieving strict control (<130/80 mmHg). For those with sub-optimal control, 63% had timely clinical follow-up and 48% underwent treatment intensification. A high proportion of individuals presented high risk features including obesity (36.4%; 95%CI, 36.2-36.5), diabetes (48.7%; 95%CI, 48.5-48.8) or high cardiovascular risk characteristics (81.7%, 95%IC, 81.5-81.8). Conclusion: Transforming routinely collected clinical data into an integrative monitoring platform is feasible within a newly federalised public health care provider. Routine monitoring of relevant indicators across multiple dimensions of care provides a structured basis for system-level oversight, longitudinal assessment, data-informed decision-making, and continuous learning within large public service delivery systems.

Indexed as

healthcare performance metricshealthcare quality improvementhealth care systemshealth information systemshealth serviceshealth services managementhypertension

Identifiers

PMID42666569
PMCPMC13522679

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.