Framework for How to Read and Critique a Research Study (ANA): Guide and Worked Example
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Get it written →Framework for How to Read and Critique a Research Study (American Nurses Association)
1. Critiquing the research article
- Title: does it accurately describe the article?
- Abstract: is it representative of the article?
- Introduction: does it make the purpose of the article clear?
- Statement of the problem: is the problem properly introduced?
- Purpose of the study: has the reason for conducting the research been explained?
- Research question(s): are they clearly defined, and if not, should they be?
- Theoretical framework: is it described? If there is not one, should there be?
- Literature review: is it relevant, comprehensive and recent? Does it support the need for the study?
- Methods: is the design appropriate? Does the sample fit the design, and is the size sufficient? Was a data collection instrument needed? How were data collected? Were reliability and validity accounted for?
- Analysis: is the analytical approach consistent with the study questions and design?
- Results: are results presented clearly in the text, tables and figures? Are the statistics clearly explained?
- Discussion: are results explained in relation to the theoretical framework, research questions and significance to nursing?
- Limitations: are limitations presented and their implications discussed?
- Conclusion: are there recommendations for nursing practice, future research and policymakers?
2. Determine the level and quality of the evidence using a scale (several can be found in ANA’s Research Toolkit).
3. Decide if the study is applicable to your practice: can you use the results and recommendations in your practice?
Title, abstract, purpose and conclusion: is it relevant?
Methods, sample, instruments, analysis: can I trust it?
Level, quality and fit with my setting: can I use it?
What to look for in each element
| Element | Strong study | Red flags |
|---|---|---|
| a. Title | Names the population, variables or intervention and design | Vague, promotional or overstated wording |
| b. Abstract | Summarizes aim, design, sample, key results and conclusion consistently with the full text | Results in the abstract more favorable than in the results section |
| c–e. Introduction, problem, purpose | The problem is supported with data, and the purpose follows logically from the gap | Purpose stated late or unclear; problem not quantified |
| f. Research questions | Clear questions or hypotheses with defined variables | Only a general aim when specific questions are needed for testing |
| g. Theoretical framework | Theory guides variables, intervention and interpretation | No framework when the study tests a behavior or care model |
| h. Literature review | Current, balanced, includes other researchers, identifies a gap | Dated, narrow or mostly self-citations |
| i. Methods | Design fits the question; adequate sample; valid and reliable instruments; clear data collection; ethics approval | No control group for an effectiveness claim; small sample; instruments without reliability or validity data |
| j. Analysis | Tests match data type and design; qualitative analysis method named | Many tests without a plan; analysis not linked to questions |
| k. Results | Clear tables, effect sizes and confidence intervals, response to every question | Only p values; inconsistent numbers between sections |
| l. Discussion | Interprets results through the framework and prior research; states significance to nursing | Restates results; claims beyond the data |
| m. Limitations | Honest list with implications for interpreting results | Missing or minimized limitations |
| n. Conclusion | Specific recommendations for practice, research and policy proportionate to the evidence | Sweeping recommendations from weak evidence |
Level of evidence scales
ANA’s Research Toolkit points to several scales. The Johns Hopkins scale is common in nursing courses: Level I experimental studies (randomized controlled trials) and systematic reviews of RCTs; Level II quasi-experimental studies; Level III non-experimental and qualitative studies; Level IV clinical practice guidelines and consensus panels; Level V literature reviews, quality improvement, case reports and expert opinion. Quality is rated A (high), B (good) or C (low or major flaws).
Worked example: critique of a primary study
Original example for study purposes, applying the ANA framework to López-Soto et al. (2023), an open-access study in BMC Nursing.
Study at a glance. In four hospitals in Córdoba province, Spain (one tertiary university hospital and three secondary provincial hospitals), researchers tested a nurse-led “chronoprevention” program that targeted the times of day when falls occur and their causes. Each center chose organizational, educational and behavioral measures from a shared menu, implemented around mid-2019. The mixed-methods design combined a prospective longitudinal study (two 18-month periods), a retrospective review of 194 institutional fall records and five focus groups with 26 nurses and nursing assistants. Recorded falls dropped from 125 before to 69 after the intervention (64.4% vs. 35.6%, p < .001), and an interrupted time-series model estimated a reduction compared with the predicted trend after adjusting for the COVID-19 period.
1. Critique
| a. Title | Accurate. “CHRONOFALLS: A multicentre nurse-led intervention in the chronoprevention of in-hospital falls in adults” identifies the setting, intervention and population, though it does not state the mixed-methods design. |
| b. Abstract | Mostly representative. It summarizes the three phases and main results, but it labels the time-series estimate as a “2.96%” reduction, while the results section reports it as a difference in average fall counts (observed 3.83 vs. predicted 6.79). This inconsistency could mislead a quick reader. |
| c. Introduction | Clear. It frames falls as a clinical, economic and quality-of-life problem and introduces the less-studied factor of time. |
| d. Problem | Properly introduced: falls are among the most common serious adverse events in hospitals, and timing is often ignored in prevention. |
| e. Purpose | Explained: to determine the effect of a nurse-led intervention based on temporal patterns of falls and their causes. |
| f. Research questions | Stated as an aim rather than formal questions or hypotheses. Because the study tests an intervention, a directional hypothesis (for example, that the program would reduce the fall rate) would have strengthened it. |
| g. Theoretical framework | Chronobiology and the concept of chronoprevention guide the intervention and the cosinor (24-hour rhythm) analysis, which is a strength. A nursing or implementation framework could have explained how staff behavior would change. |
| h. Literature review | Relevant and supports the need for the study, but it relies heavily on the authors’ own earlier work and is not comprehensive of the broader fall-prevention literature. |
| i. Methods | Design: appropriate for real-world testing, but there is no control group, and the authors added the retrospective and qualitative phases after the study began to explain inconsistent data. Sample: the prospective phase captured only 28 falls, too few for strong conclusions; the retrospective phase (194 falls) adds power. Instruments: a fall-recording form plus validated scales such as the Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale, but reliability and validity data are not reported, and time of fall was missing in about 30% of retrospective records. Ethics: ethics committee approval, informed consent and trial registration (NCT04367298) are strengths. |
| j. Analysis | Consistent with the design: descriptive statistics, cosinor analysis for 24-hour rhythms, interrupted time-series analysis (CausalImpact, adjusted for temperature) and Bardin’s content analysis for focus groups. |
| k. Results | Generally clear, with tables and figures. Falls decreased, peak fall times shifted (from about 02:55 and 13:12 to about 06:30) and recording completeness improved. Some statistics are hard to interpret because of the inconsistent “%” label, and per-hospital data are not shown. |
| l. Discussion | Interprets results through chronobiology and highlights nursing significance, such as targeting toileting and early-morning risk. However, it does not fully address the possibility that improved recording affected the recorded fall counts. |
| m. Limitations | Presented honestly: staff-recorded falls, COVID-19 effects, non-uniform reporting systems, center-specific interventions limiting generalizability and a possible Hawthorne effect. The most important implication, that changes in recording may confound the outcome, deserves more emphasis. |
| n. Conclusion | Offers recommendations for practice and health policy. The claim that the program improved patient safety is stronger than the evidence supports because injury outcomes were not measured. |
2. Level and quality of evidence
Johns Hopkins Level II (mixed methods whose quantitative component is quasi-experimental: an intervention without randomization or a control group). Quality C (low): although the study is multicenter, registered and uses advanced analysis, the small prospective sample, nonstandardized intervention, missing data and possible confounding between recording practices and outcomes are major flaws.
3. Applicability to practice
The study is partly applicable. I would not adopt its full program based on this evidence alone, but several findings are useful for a medical-surgical unit: reviewing when our falls occur, targeting high-risk times such as night and early-morning toileting, agreeing on a shared definition of a fall and making incident reporting easier. These low-cost changes fit well with an evidence-based fall bundle, such as purposeful hourly rounding, and should be evaluated with our own fall and injury rates.
Reference
López-Soto, P. J., Rodríguez-Cortés, F. J., Miñarro-Del Moral, R. M., Medina-Valverde, M. J., Segura-Ruiz, R., Hidalgo-Lopezosa, P., Manfredini, R., Rodríguez-Borrego, M. A., & CHRONOFALLS Project Collaborators. (2023). CHRONOFALLS: A multicentre nurse-led intervention in the chronoprevention of in-hospital falls in adults. BMC Nursing, 22, Article 149. https://doi.org/10.1186/s12912-023-01322-9
Frequently asked questions
Do I critique every element even if the article is short?
Yes. Address each item a–n. If an element is missing, say so and explain whether it should have been included, as the framework asks.
How long should each critique answer be?
Usually two to four sentences per element: describe what the authors did, judge it and explain why it matters for trusting the results.
Should I use the Johns Hopkins scale or another one?
Use the scale your instructor specifies. If the course uses the Johns Hopkins toolkit for the EBP project, use it here too so your levels are consistent.
Related reading: EBP question, search and appraisal of three primary studies (CAUTI example), Johns Hopkins Appendix B Question Development Tool completed example, nursing research methods and critical appraisal and how to critique different study designs.
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