GLI GLI Quality Tool
GLI Quality Tool — Version 2.0

Aligning TB Laboratory Quality Goals With National Program Targets

Tuberculosis laboratories are most effective when their quality objectives directly support the priorities of the national tuberculosis program. A quality management system should therefore be more than an internal compliance exercise. It should help the laboratory deliver accurate, timely, safe, and equitable testing that advances case detection, drug-resistance surveillance, treatment monitoring, and outbreak response.

National programs usually express their priorities through measurable targets: testing coverage, turnaround time, bacteriological confirmation, drug-susceptibility testing, notification, treatment initiation, and reporting completeness. Laboratory managers can translate these targets into practical quality goals by identifying which processes influence each result and assigning clear indicators to them.

This alignment creates a shared language between laboratories, public health authorities, clinicians, procurement teams, and implementing partners. It also helps laboratories make defensible choices when funding, staff, equipment, or infrastructure are limited.

Start With The Program’s Most Important Results

The first step is to review the current national strategic plan, annual operational plan, laboratory policy, and disease surveillance requirements. Identify the outcomes that depend most heavily on laboratory performance. For example, a national goal to increase the proportion of people with presumptive TB who receive a molecular test may require improvements in specimen referral, instrument availability, test cartridge supplies, staff competency, and result transmission.

Avoid copying every national target into the laboratory quality plan. Select the targets for which the laboratory has direct or substantial influence. A laboratory may not control whether patients reach health facilities, but it can control whether received specimens are correctly registered, tested according to procedure, and reported within the required timeframe.

A useful alignment statement connects the public health result to the laboratory contribution. “Increase rapid detection of rifampicin resistance” can become “ensure that eligible specimens are tested on an approved molecular platform, with valid results released within 48 hours and unsuccessful tests investigated according to procedure.” This wording makes the target operational.

Convert Targets Into Measurable Quality Objectives

Each quality objective should specify the population or process covered, the expected standard, the measurement method, the reporting period, and the person responsible. Broad intentions such as “improve quality” are difficult to manage. Objectives such as “reduce the monthly proportion of rejected sputum specimens to below 3%” can be monitored and linked to corrective action.

Indicators should cover the complete testing pathway rather than focusing only on analytical accuracy. Pre-analytical measures may include specimen adequacy, labeling, transport conditions, and referral time. Analytical measures can include internal quality control compliance, invalid test rates, equipment uptime, proficiency testing performance, and adherence to standard operating procedures. Post-analytical measures may include result verification, turnaround time, data completeness, and notification of critical findings.

The phase guidance explains how to work through the GLI Quality Tool and use its materials in a structured way. Laboratories can apply the same discipline to their national targets by defining a baseline first, setting a realistic desired level, and documenting how evidence will be reviewed.

Use A Phased Roadmap To Close The Gaps

Quality improvement is easier to manage when it is staged. A laboratory that is still establishing basic documentation, safety practices, and role definitions may not be ready to prioritize advanced automation or complex performance dashboards. The four-phase GLI roadmap helps teams move from foundational activities toward a mature quality management system while recognizing different starting points and resource conditions.

The roadmap is organized around twelve Quality Systems Essentials, including organization, personnel, equipment, purchasing and inventory, process management, information management, documents and records, customer focus, assessment, facilities and safety, and continual improvement. These elements provide a practical way to examine why a national target is being missed. A delayed result, for instance, may reflect inadequate staffing, poor workflow design, stock interruptions, instrument downtime, or weak information systems rather than a single technical problem.

National program priority Laboratory quality objective Example indicator Related quality system focus
Expand rapid molecular testing Keep eligible testing platforms operational and supplied Percentage of planned testing days completed Equipment; purchasing and inventory
Shorten time to treatment Release valid results within the national standard Median specimen-to-result time Process management; information management
Improve drug-resistance detection Maintain reliable testing and referral pathways Proportion of eligible cases receiving resistance testing Personnel; assessment; process management
Reduce missed notifications Transmit complete, verified results to surveillance systems Percentage of results reported within one working day Documents and records; information management
Protect staff and communities Apply biosafety procedures consistently Completion rate for safety checks and incident reviews Facilities and safety; personnel

The GLI Quality Tool can support this process by helping teams connect quality system activities with an orderly improvement pathway. A laboratory should select a manageable group of priorities for each phase, assign owners, and define evidence that will demonstrate completion. This prevents the quality plan from becoming a long list of disconnected tasks.

Match Investment Decisions To Public Health Risk

Alignment also improves resource allocation. When a quality objective is connected to a national target, managers can explain why a particular investment matters. A request for preventive maintenance, backup power, specimen transport materials, or additional training becomes stronger when it is linked to the risk of delayed diagnosis or incomplete drug-resistance testing.

Resource decisions should consider the consequences of failure, not only the price of an item. A low-cost supply interruption can stop a high-volume molecular testing service. An outdated computer system can delay result reporting across an entire district. A single untrained staff member can create a significant continuity risk if only one person knows how to operate an instrument or review quality control data.

National programs and laboratories should also distinguish between universal requirements and context-specific solutions. The quality goal may be consistent across regions, while the method differs. One area may use a courier network, another a motorbike referral system, and another a hub-and-spoke arrangement. The key question is whether the chosen process produces safe, reliable, and timely results under local conditions.

Build A Joint Review And Reporting Cycle

Laboratory quality indicators should appear in the same review rhythm as national TB program indicators. Monthly or quarterly meetings can examine testing volume, invalid results, turnaround time, stock status, equipment downtime, proficiency testing, specimen rejection, and reporting completeness alongside case-finding and treatment data. Reviewing these measures together reveals relationships that isolated laboratory reports may miss.

For example, a fall in bacteriologically confirmed notifications may coincide with reduced instrument uptime, increased specimen rejection, or delays in result transmission. Conversely, a rise in testing volume with a stable invalid rate and shorter turnaround time can show that service expansion has not weakened quality. Trends are more informative than single results, so teams should display data over time and investigate meaningful variation.

Every indicator needs a response rule. If turnaround time exceeds the national standard for two consecutive reporting periods, the responsible team should conduct a root-cause analysis and record corrective actions. If an equipment failure causes repeated interruptions, the response may include service escalation, contingency testing, revised maintenance schedules, or referral to another site. Quality assessment should lead to decisions, not just reporting.

The phase checklists can help teams organize evidence, identify incomplete activities, and prepare for internal assessment. They are most useful when treated as working instruments during routine management meetings rather than as forms completed only before an external visit.

Practical Priorities For Implementation

Alignment works best when responsibilities are explicit and the plan is limited to actions that can be monitored. A national reference laboratory, regional laboratory, and peripheral testing site may each contribute differently to the same target. The quality plan should show who owns the activity, who provides support, and how escalation will occur when performance falls below the agreed level.

Laboratories can begin with a short alignment workshop involving the laboratory manager, quality officer, program representative, clinician or surveillance officer, procurement staff, and information system lead. The group can map one or two national priorities across the testing pathway, identify risks, and agree on indicators that are feasible to collect.

Recommended actions include:

Make Quality Performance Part Of Program Management

The strongest alignment is visible in routine decisions. Procurement plans refer to testing demand and equipment risk. Training calendars reflect competency gaps. supervision visits review quality indicators as well as workload. National dashboards include laboratory measures that explain whether diagnosed patients can be identified quickly and linked to care.

Laboratories should revisit their objectives when national priorities, testing technologies, referral networks, or reporting requirements change. Continual improvement does not mean changing targets constantly; it means checking whether the quality system still supports the public health mission. A stable review process allows teams to preserve effective controls while addressing new risks.

Begin with one national TB target, trace the laboratory contribution from specimen collection to result use, and document the few quality measures that matter most. Then use the evidence to prioritize action, communicate needs, and demonstrate progress. When laboratory quality goals are embedded in national program management, accurate testing becomes a reliable driver of TB control rather than a separate technical activity.