Identifying a Researchable Problem

Overview

Health research often begins with discomfort: an outcome seems worse than expected, a service does not reach the people who need it, clinicians disagree about practice, patients describe an unmet need, or published evidence does not fit the local setting. These observations are useful starting points, but they are not yet research problems.

A research problem is a focused, evidence-informed account of an important uncertainty or deficiency in knowledge that can be investigated systematically. It identifies what is not adequately known, who or what is affected, why the gap matters and what kind of knowledge is needed. The problem provides the rationale for the research question, objectives, design and eventual contribution.

The central task is therefore not to find an impressive topic. It is to transform a broad area of interest into a problem that is important enough to study and sufficiently bounded to guide a real project. Health-research manuals and clinical-research texts place this step before design selection because a study can be technically competent yet unhelpful when it addresses a vague or trivial problem [1–3].

Why this matters

An unclear problem produces downstream confusion. The background becomes a collection of unrelated facts, the objectives expand, the variables multiply and the researcher may choose a design because it is familiar rather than because it answers the question. Sample-size planning also becomes unstable when there is no clearly prioritised outcome or comparison.

A focused research problem improves alignment. It allows the team to judge whether the evidence gap is real, whether the intended population is accessible, whether the required measurements are possible, and whether the answer could influence knowledge, practice, policy or future research. The question, hypothesis and objectives should then be developed as a connected set rather than independently [4]. It also helps prevent avoidable research waste caused by asking low-priority questions, duplicating existing evidence without justification or collecting data that cannot resolve the stated uncertainty [5].

From a topic to a research problem

A topic names an area, such as gestational diabetes, vaccine hesitancy or medication safety. A practical concern describes an observed difficulty, such as low postpartum follow-up. A research problem specifies an unresolved knowledge gap related to that concern. A research question asks exactly what the study will determine.

Four levels of focus

illustrative

Level	Example
Topic	Postpartum care after gestational diabetes
Practical concern	Many eligible women appear not to complete postpartum glucose testing
Research problem	The proportion completing testing, the points at which follow-up is lost and the barriers operating in this hospital pathway are not adequately documented
Research question	What proportion of women with gestational diabetes complete postpartum glucose testing within 12 weeks, and what patient and service factors are associated with completion?

A concern becomes researchable when the study can generate information that is not already available and when the methods can reasonably address that information need. “Diabetes is common” is not a research problem. “No study has been conducted in our hospital” is also insufficient unless the local setting could plausibly change the answer or the decision.

Where research problems come from

Clinical uncertainty

Clinicians may be uncertain about which diagnostic approach, treatment, follow-up interval or monitoring strategy is most appropriate. Variation in practice can signal uncertainty, although variation alone does not prove that one approach is wrong.

Burden and distribution of disease

A public-health team may lack credible estimates of prevalence, incidence, mortality, risk-factor distribution or service coverage in a defined population. The problem should explain why existing surveillance or published estimates are inadequate for the intended decision.

Patient and community experience

Patients may describe burdens that routine outcomes overlook, such as stigma, treatment inconvenience, communication failures, financial strain or distrust. These concerns can support qualitative, quantitative or mixed-methods questions depending on the knowledge needed.

Implementation and quality gaps

An effective intervention may not be adopted, delivered consistently or sustained. The research problem may concern reach, acceptability, fidelity, feasibility, implementation determinants or unintended consequences rather than efficacy itself.

Conflicting, incomplete or inapplicable evidence

Studies may disagree, exclude important groups, use weak measurements, provide little long-term follow-up or arise from settings that differ substantially from the intended context. The problem should identify the specific uncertainty rather than state that “more research is needed”.

New technologies, policies or exposures

A new diagnostic platform, digital tool, policy or environmental exposure may create questions about performance, safety, equity, acceptability or real-world impact. Novelty alone does not establish importance; the proposed study must still address a meaningful gap.

Constructing the problem

A practical problem statement can be built from five connected elements:

1. Affected population or system: Who, what service or which setting is involved?
2. Undesirable condition or uncertainty: What appears problematic or unknown?
3. Current evidence: What is already known, including relevant local information?
4. Specific gap: What remains unresolved and cannot be answered adequately from available evidence?
5. Consequence: Why does resolving the gap matter for patients, practice, policy, science or resource use?

PROTOCOL CHECKLIST

Document the problem before drafting objectives

• Define the target population, setting and relevant time period.
• Describe the practical concern using credible evidence rather than impression alone.
• Identify what existing studies or routine data already answer.
• State the exact uncertainty that remains.
• Explain who would use the answer and what decision it could inform.
• Record the assumptions that require verification during literature review or preliminary consultation.

Narrowing an over-broad problem

A problem can be narrowed by specifying one or more of the following:

• population: adults with a confirmed condition rather than all clinic attendees;
• setting: district primary-care clinics rather than an entire country;
• time: the first 12 weeks after delivery rather than an undefined postpartum period;
• exposure or intervention: a particular discharge pathway rather than healthcare generally;
• outcome or phenomenon: completion of glucose testing rather than “quality of care”;
• comparison: clinics with and without a reminder system;
• perspective: patient experience, provider implementation or health-system performance; and
• intended inference: description, association, explanation, prediction or evaluation.

Narrowing is not merely reducing the sample. It is deciding which uncertainty deserves priority and which boundaries are necessary for a coherent study.

DECISION GUIDE

Is the problem ready to become a question?

Ask:

1. Can the gap be stated in one or two precise sentences?
2. Is the gap supported by evidence or a credible preliminary observation?
3. Is the population or system to which it applies identifiable?
4. Would answering it change understanding or support a decision?
5. Can data capable of answering it be collected or accessed ethically?
6. Is the proposed scope manageable within the available time and resources?

If several answers are uncertain, further literature review, stakeholder discussion, routine-data checking or feasibility work may be needed before finalising the question.

Research, audit and service improvement

Not every important service problem requires a research study. An audit may compare current practice with an explicit standard. Quality improvement may test local changes through iterative cycles. Research generally aims to generate new, systematically derived knowledge that extends beyond managing one immediate service process.

These activities can overlap, and their governance classification depends on purpose, design, intended generalisability and local requirements. A team should not relabel research as audit to avoid review, or call a routine audit research merely because publication is desired. Classification should be discussed prospectively with the responsible institutional body.

Worked example

WORKED EXAMPLE

Refining the postpartum follow-up problem

Initial topic: Awareness of gestational diabetes.

Observed concern: Postpartum clinic staff believe that glucose testing after gestational diabetes is poorly completed.

Evidence check: Electronic records show that completion cannot be estimated reliably because tests performed in primary care are not consistently linked. Published studies identify substantial variation in postpartum testing and describe patient- and system-level barriers, but the local pathway and points of loss are unknown.

Refined problem: The hospital cannot determine how many women complete recommended postpartum glucose testing, where follow-up is lost, or which modifiable patient and service factors contribute to non-completion. Without this information, the team cannot select an appropriate intervention or monitor improvement.

Possible study response: Link obstetric, laboratory and primary-care records to estimate testing completion, then investigate factors associated with completion. A qualitative component could be added if understanding experiences and barriers is required for intervention design.

The refined problem does not assume that awareness is the cause. It separates the observed service concern from the knowledge needed to address it.

Appraising a proposed problem

APPRAISAL CHECKLIST

Appraise the research problem

• Is the problem more specific than a broad topic?
• Does it distinguish what is known from what remains uncertain?
• Are claims about burden, practice or gaps supported by credible sources?
• Is the affected population, service or context explicit?
• Is the gap consequential rather than merely locally unpublished?
• Does the problem avoid assuming the result or cause in advance?
• Is the likely study response ethically and operationally plausible?
• Can one primary question be derived without adding unrelated aims?

Suggested protocol wording

Common mistakes

Knowledge check

Why is ‘hypertension among adults’ not yet a research problem?

Answer and reasoning

It names a topic but does not identify an unresolved, consequential uncertainty. A research problem would specify what is inadequately known, the population and setting, and why the answer matters—for example, uncertainty about the prevalence of undiagnosed hypertension among adults attending rural primary-care clinics.

A team states that no study of teleconsultation satisfaction has been conducted in its hospital. What is missing?

Answer and reasoning

The team must show why local evidence is needed. It should identify a decision or contextual feature that existing evidence cannot address, such as language access, technology constraints, clinical specialty or inequitable uptake. Geographic novelty alone is weak justification.

How can a researcher avoid assuming the cause of a service problem?

Answer and reasoning

Separate the observation from possible explanations. State that follow-up is low or uncertain, then investigate candidate patient, provider and system factors rather than declaring in advance that poor knowledge or motivation is responsible.

What is the main purpose of narrowing a research problem?

Answer and reasoning

Narrowing identifies the priority uncertainty and creates boundaries that permit coherent design, measurement and interpretation. It is not simply a way to make recruitment easier.

Key take-home messages

SUMMARY

Key take-home messages

• A topic or practical concern becomes a research problem only when a specific, consequential evidence gap is identified.
• Strong problems define the affected population or system, current evidence, unresolved uncertainty and reason the answer matters.
• The problem should be narrowed before the research question, objectives and methods are finalised.
• Local novelty is insufficient unless the context could change the answer or decision.
• Do not assume a cause before the study; distinguish observations from explanations.
• Some service concerns are better addressed through audit or quality improvement, subject to local governance classification.

References

1. World Health Organization Regional Office for the Eastern Mediterranean. A practical guide for health researchers. Cairo: World Health Organization; 2004. https://iris.who.int/handle/10665/119703
2. Browner WS, Newman TB, Cummings SR, Grady DG, Huang AJ, Kanaya AM, et al. Designing clinical research. 5th ed. Philadelphia: Wolters Kluwer; 2022.
3. Haynes RB. Forming research questions. J Clin Epidemiol. 2006;59(9):881–886. https://doi.org/10.1016/j.jclinepi.2006.06.006
4. Farrugia P, Petrisor BA, Farrokhyar F, Bhandari M. Research questions, hypotheses and objectives. Can J Surg. 2010;53(4):278–281.
5. Chalmers I, Glasziou P. Avoidable waste in the production and reporting of research evidence. Obstet Gynecol. 2009;114(6):1341–1345. https://doi.org/10.1097/AOG.0b013e3181c3020d