Patient Time as a Hidden Cost in HIV Care:
A Systems Framework for Modeling Engagement Using Public Data
Alexander Yates
Independent Researcher
Publication: Working Manuscript
Phase: DEFINE (Six Sigma Framework)
Version: 1.0
Last Updated: April 21, 2026
Keywords: HIV Care Continuum, Patient Time, Healthcare Access, Systems Modeling, Engagement
Data Source: Publicly Available Datasets
Independence Statement: This study is conducted independently and does not use proprietary, institutional, or patient-level data.
Abstract
Background:
Healthcare systems measure provider time with precision, while patient time remains largely unmeasured within operational systems.
Objective:
This paper examines patient time as a cumulative burden associated with accessing and completing care.
Methods:
This study uses publicly available HIV care data and systems modeling approaches to define patient time as a measurable construct.
Results:
This work establishes a preliminary conceptual framework for categorizing patient time across multiple components.
Conclusion:
Patient time represents a structurally unmeasured variable that may influence engagement and retention in care. This framework aims to support future measurement and modeling efforts.
Introduction
Healthcare systems measure provider time down to the minute.
Patient time remains largely unmeasured within operational systems.
Patient time is often:
- untracked
- unpriced
- operationally invisible
Despite increasing emphasis on patient-centered care, time burden is rarely treated as a measurable system variable.
This gap introduces a structural blind spot in evaluating efficiency, access, and patient engagement.
Time burden may influence:
- whether a patient attends care
- how consistently they remain engaged
- how systems allocate resources
This paper focuses on HIV care due to the availability of public data, while aiming to develop a framework that extends beyond a single condition.
- Conceptualizing Patient Time as a System Variable
Patient time refers to the cumulative time burden required to access and complete care interactions.
Table 1. Conceptual Components of Patient Time
Component Description Observability
Travel Time to and from care site Partially observable
Waiting Time before receiving care Often untracked
Administrative Scheduling and coordination tasks Largely invisible
Visit Time spent in care interaction Indirectly measured
Post-care Pharmacy, follow-up, logistics Rarely measured
- Limitations in Measuring Patient Time
Current healthcare data systems present several limitations in capturing patient time:
- Fragmented data systems across providers and services
- Missing or inconsistently recorded variables
- Reliance on indirect proxies for time burden
- Lack of standardized definitions
Working Insight:
Patient time is not absent from healthcare systems; it is structurally unmeasured.
- Project Scope and Approach
This project aims to:
- define patient time as a measurable construct
- explore relationships between time burden and engagement
- identify structural contributors to time burden
- develop a systems-based framework
- Future Direction: Toward Measurement
The next phase of this work will focus on:
- operationalizing patient time variables
- identifying measurable proxies within available datasets
- assessing data completeness and quality
- developing preliminary modeling approaches
References
Health Resources and Services Administration (HRSA). Ryan White HIV/AIDS Program Data Reports.
Centers for Disease Control and Prevention (CDC). HIV Surveillance Reports.