Skip to main content

Advertisement

N-of-1 randomized trials for psychological and health behavior outcomes: a systematic review protocol

Abstract

Background

Randomized controlled trials are the sine qua non of causal inference; however, heterogeneity of treatment effects for many chronic conditions and for many symptoms often limits their utility. Single-patient studies in which patients select a treatment after trying a randomized sequence of treatments (i.e., multiple crossover trials) offer an alternative to traditional randomized controlled trials by providing scientifically valid results in a practical manner that can be used by patients and their providers to decide upon their personally optimal treatment. Although N-of-1 trials have been used in the medical literature, their use for interventions that consist of psychological or health behavior outcomes is unknown. This systematic review thus aims to describe the interventions and outcomes and assess the quality of N-of-1 trials for psychological or health behavior outcomes.

Methods/Design

Electronic databases (Ovid MEDLINE, EMBASE, CINAHL, PsycINFO, and the six databases in the Cochrane Library) will be searched using all relevant subject headings and free-text terms to represent N-of-1 trials and psychological or behavioral interventions. Full text review and bibliography searching will be conducted. Unpublished studies will be sought by searching trial registries and contacting authors of included studies. Eligibility criteria are the following: population, all human participants for whom N-of-1 trials with psychological or health behavior outcomes have been conducted; interventions, all interventions for which N-of-1 trials have been conducted; comparison, placebo or active treatment control; and outcome, psychological and health behavior outcomes including self-perceived disease severity and psychological phenomena such as mood and affect. Studies that do not contain sufficient trial detail, describe only design or statistical analytic issues in N-of-1 trials without presentation of an N-of-1 trial itself, and/or are not written in the English language are ineligible. Screening, data extraction, and quality assessment will be conducted by two independent reviewers with disagreements resolved through discussion.

Discussion

This systematic review will describe the interventions and outcomes and assess the quality of N-of-1 trials for psychological or health behavior outcomes. The results will clarify the use of this research methodology in the health psychology and behavioral medicine literature and may pave the way for additional N-of-1 trials to be conducted.

Systematic review registration

PROSPERO CRD42015017853

Background

Despite their commonly lauded role as the gold standard of causal inference and the cornerstone of evidence-based medicine, randomized controlled trials (RCT) often fail to provide evidence for individualized therapeutic decisions. Indeed, heterogeneity of treatment effects (HTE) is evident for many RCTs for many chronic conditions and for many symptoms, such that some RCT-supported treatments can have huge benefits for some patients but can be minimally effective or even harmful for others [1, 2]. Further, traditional, two-arm, parallel group RCTs can be costly to conduct, leaving clinicians and researchers to rely on clinical experience rather than strong experimental evidence [3]. As these conventional RCTs provide only the average treatment effect of an intervention for a group of patients, patients and clinicians need additional information about the effect of a specific treatment for a specific patient for a specific problem [2].

The Evidence-Based Medicine Working Group suggested that N-of-1 trials “provide the strongest evidence for the decisions of patients [4].” N-of-1 trials are single-patient studies in which patients select a treatment after trying a series of treatments (i.e., multiple crossover trials) to determine the relative benefits and harms of each treatment for themselves [1]. They focus on the individual patient by randomizing comparative treatments across time within each patient, rather than randomizing different patients to different comparative treatments as is done in a traditional RCT. Thus, instead of using the results of a conventional or between-patient RCT to choose the best treatment for a patient, the N-of-1 trial methodology can provide scientifically valid results and therefore valuable information in a practical manner that can be used by patients and providers to decide upon a personally optimal treatment and so overcome HTE. In this way, N-of-1 trials are the foundational design for a truly patient-centered comparative effectiveness method. Further, N-of-1 trials are specifically designed to help patients make healthcare decisions that are informed by high-integrity, evidence-based information that is uniquely relevant to their important outcomes and values [5]. In a series of demonstration trials, N-of-1 designs have led to valuable changes in treatment, cessation of treatment, or confirmation of the original treatment [610]. For example, in one series of 71 N-of-1 trials for patients with either chronic pain or osteoarthritis, 46 patients (65 %) decided to change their pain medication as a result of the information from the trials, and of the 37 patients using an NSAID or Cox-2 inhibitor drug for pain management before their trials, 12 (32 %) decided that the medication was not helping and stopped it, as a result of their trial results.

Notwithstanding the proliferation of N-of-1 trials in the medical literature, randomized N-of-1 trials have only sporadically been used for treatments that target psychological or health behavior outcomes. Furthermore, among those N-of-1 studies that have considered psychological or health behavior outcomes, information regarding study quality and methods for assessing study quality is limited. This gap in knowledge is peculiar given the abundance of other single participant study designs (e.g., ABA designs, multiple baseline designs, and time-series designs) in the psychology literature and the push to tailor psychological interventions to the individuality of the patient and the singularity of his or her context and condition [11]. It is with these gaps in knowledge in mind that we endeavored to conduct a systematic review of N-of-1 trials of interventions with psychological or health behavior endpoints.

Methods/Design

Aims

The proposed review aims to describe the interventions and outcomes and assess the quality of N-of-1 trials for psychological or health behavior outcomes. The reporting of this review will conform to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines [12].

Eligibility criteria

Population: This review is not limited to a particular population, but will consider all populations for whom N-of-1 trials have been conducted.

Interventions: All medical, psychological, and behavioral interventions for which N-of-1 trials have been conducted (i.e., no restrictions on interventions) will be considered.

Comparator/control: Inclusion criteria require placebo control or an active treatment control.

Outcomes: Psychological and health behavior outcomes will be considered in the following categories:

  1. 1.

    Behavioral—defined as a response that can be conditioned and is objectively observable (e.g., number of steps).

  2. 2.

    Self-perceived disease severity or disease processes—defined as patient ratings of disease severity or disease processes, including but not limited to pain, dyspnea, and gastrointestinal discomfort.

  3. 3.

    Psychological—defined as self-reported affective functioning, including but not limited to depression and anxiety.

Study design

Only peer-reviewed studies in full text, conference abstract, or doctoral dissertations are eligible for this review. Studies must involve randomization of treatments within blocks or pairs, crossover of interventions, individual patients or series of patients, and single patients as the unit of analysis.

Exclusion

Studies that do not contain sufficient trial detail, consist primarily of methods and review (e.g., Lillie and colleagues [13] discuss design issues and the analysis of N-of-1 trials but do not report an N-of-1 trial of their own), and/or are not written in English will be ineligible as these will make assessment of study quality impossible.

Search strategy

Potentially relevant articles will be identified by searching the biomedical electronic databases Ovid MEDLINE, EMBASE, all six databases in The Cochrane Library, CINAHL, and PsycINFO. All relevant subject headings and free-text terms will be used to represent N-of-1 controlled trials and psychological or behavioral interventions, and databases will be searched from inception through the week of planned manuscript submission. Terms for MEDLINE will include the following: n-of-1.tw OR ((individual or single) adj (patient$ or participant$ or subject$)).tw. OR ipd.tw AND exp Behavioral Medicine/OR exp psychotherapy/OR behavio$ adj (change or health or medicine or therap$)).tw OR psychotherap$.tw. OR psycholog$.tw. (see Additional file 1: for full strategies). These terms will be adapted for the other databases. Ongoing studies will also be sought through Clinicaltrials.gov and the WHO International Clinical Trials Registry Platform. Additional records will be identified by scanning the reference lists of relevant studies and reviews, by employing the Related Articles feature in PubMed, and by using the Cited Reference Search in Scopus.

Search selection process

Two reviewers (JAS, LF) will independently screen titles and abstracts of all the retrieved bibliographic records. Full texts of potentially eligible records passing the title and abstract screening level will be retrieved and examined independently by the two reviewers according to the above mentioned eligibility criteria. Disagreements at both screening levels (title/abstract and full text) will be adjudicated by a third reviewer (KWD). A PRISMA flow chart will outline the study selection process and reasons for exclusions.

Assessment of study quality

Assessment of study quality will be performed by two reviewers (JAS, LF) according to the Consolidated Standards of Reporting Trials (CONSORT) statement [14] and the CONSORT extension for N-of-1 Trials (CENT) (Table 1) [15]. After determination of a study’s eligibility, the following information will be reviewed and determined to be either reported or not reported: introduction (scientific background and explanation of rationale, specific objectives or hypotheses, rationale for using an N-of-1 approach), trial design characteristics (description of trial design with planned number of periods and duration of each period, individualization of the design for series of participants, important changes to methods after trial commencement, participant eligibility criteria, duration of treatment periods), intervention and outcome characteristics with sufficient detail to allow replication (completely defined primary and secondary endpoints, measurement properties of outcome assessment tools, changes to trial outcomes), allocation characteristics (allocation method, blinding, allocation concealment mechanism, allocation implementation), statistical analytic methods (sample size determination, explanation of interim analyses and stopping guidelines, consideration of carry-over effects, period effects, intra-participant associations, and methods of quantitative synthesis of series data), results (number and sequence of periods completed, number of participants enrolled and assigned to intervention, losses or exclusion of participations after treatment assignment, table showing baseline data, number of periods analyzed, number of trials for which data were synthesized, results for each primary and secondary endpoint per period, estimated effect size and precision, results of any additional analyses), harms or unintended effects for the intervention, and discussion (trial limitations, generalizability, consideration of harms and benefits).

Table 1 CENT 2015 checklist: CONSORT 2010 checklist items with modifications or additions for individual or series of N-of-1 trials [15]

Extraction of study endpoints

Type of study endpoint (e.g., self-report rating scale, objectively observed behaviors) will be recorded by two independent reviewers (JAS, LF). Extraction data for 20 % of studies will be compared between reviewers to ensure accuracy of data extraction. Review of these outcomes is intended to provide clinicians and researchers with information that may be of use as they design their own N-of-1 trials by allowing them to identify clinical conditions and outcomes that may be particularly amenable to N-of-1 methodology.

Discussion

This systematic review aims to add to the extant literature by reviewing data concerning N-of-1 randomized trials with psychological and health behavior outcomes. Our review considers a wide variety of interventions and psychological and health behavior outcomes including, but not limited to, complementary and alternative medicine interventions, psychopharmacologic interventions, surgical interventions, behavioral interventions, and psychotherapeutic interventions. The findings will need to be considered alongside the plethora of other single-case designs that have dominated the fields of psychology and medicine to ensure their uniqueness. The findings might therefore serve as a springboard from which other N-of-1 trials could be developed and may minimize the tendency for researchers to miss reporting critical information required to understand the body of evidence available on any one topic.

There are several limitations that will contextualize the findings and generalizability of the proposed review including our a priori decision to not quantitatively aggregate results. We made this decision as we expect disparate outcomes, time periods, and types of interventions across all behavioral and psychological domains. Moreover, we have chosen to exclude reports that contain insufficient trial detail, which limits the scope of this review. This limitation is important as many N-of-1 trials are embedded within larger editorial, review, and other articles, and their exact methodology is likely not ascertainable. Finally, N-of-1 trials themselves may be limited due to the limited resources available to most practitioners. Nonetheless, their advantages over open trials of treatment are obvious, and services to conduct single-patient trials are becoming more available [16].

In conclusion, although parallel-arm, between-person RCTs are the sine qua non of causal inference, there exist additional randomized designs that are useful in certain circumstances, such as when HTE is large and when the symptoms or outcomes can be measured within-person, and the treatment is reversible. N-of-1 trials offer a low-cost means under these circumstances by which to overcome HTE, particularly by allowing for individualization of treatment. Although a previous systematic review has examined N-of-1 trials in the medical literature [1], a review of their use for interventions with psychological and health behavior outcomes in particular is lacking. The proposed review will thus help summarize the available evidence qualitatively and may guide the development of new N-of-1 trials.

Abbreviations

RCT:

randomized controlled trial

HTE:

heterogeneity of treatment effect

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-analyses

CONSORT:

Consolidated Standards of Reporting Trials

CENT:

CONSORT Extension for N-of-1 Trials

References

  1. 1.

    Gabler NB, Duan N, Vohra S, Kravitz RL. N-of-1 trials in the medical literature: a systematic review. Med Care. 2011;49:761–8.

  2. 2.

    Hart A, Sutton CJ. N-of-1 trials and their combination: suitable approaches for CAM research? Complement Ther Med. 2003;11:213–4.

  3. 3.

    Tsapas A, Matthews DR. Using N-of-1 trials in evidence-based clinical practice. JAMA. 2009;301:1022–3.

  4. 4.

    Guyatt G, Haynes B, Jaeschke R, Cook D, Greenhalgh T, Mead M, et al. The philosophy of evidence-based medicine. In: Guyatt G, Rennie D, Meade M, Cook D, editors. Users’ guides to the medical literature. United States: American Medical Association; 2008. p. 3–11.

  5. 5.

    Duan N, Kravitz RL, Schmid CH. Single-patient (n-of-1) trials: a pragmatic clinical decision methodology for patient-centered comparative effectiveness research. J Clin Epidemiol. 2013;66:S21–8.

  6. 6.

    Guyatt G, Jaeschke R, McGinn T. N-of-1 randomized controlled trials: study design. In: Guyatt G, Rennie D, Meade M, Cook D, editors. Users’ guides to the medical literature. United States: American Medical Association; 2008. p. 179–92.

  7. 7.

    Guyatt G, Keller J, Jaeschke R, Rosenbloom D, Adachi J, Newhouse M. The n-of-1 randomized controlled trial: clinical usefulness, our three-year experience. Ann Intern Med. 1990;112:293–9.

  8. 8.

    Nikles CJ, Yelland M, Glasziou PP, Del Mar C. Do individualized medication effectiveness tests (n-of-1 trials) change clinical decisions about which drugs to use for osteoarthritis and chronic pain? Am J Ther. 2005;12:92–7.

  9. 9.

    Larson EB. N-of-1 trials: a new future? J Gen Intern Med. 2010;25:891–2.

  10. 10.

    Joy TR, Monjed A, Zou GY, Hegele RA, McDonald CG, Mahon JL. N-of-1 (single-patient) trials for statin-related myalgia. Ann Intern Med. 2014;160:301–10.

  11. 11.

    Norcoss JC, Wampold BE. What works for whom: tailoring psychotherapy to the person. J Clin Psychol: In Session. 2011;67:127–32.

  12. 12.

    Moher D, Liberati A, Telzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151:264–9.

  13. 13.

    Lillie EO, Patay B, Diamant J, Issell B, Topol EJ, Schork NJ. The n-of-1 clinical trial: the ultimate strategy for individualizing medicine. Per Med. 2011;8:161–73.

  14. 14.

    Moher D, Schulz KF, Altman DG, Consort Group. The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials. The Lancet. 2001;357:1191–4.

  15. 15.

    Vohra S, Shamseer L, Sampson M, Bukutu C, Schmid CH, Tate R, et al. CONSORT extension for reporting N-of-1 trials (CENT) 2015 statement. Br Med J. 2015;350:h1738. doi: 10.1136/bmj.h1738.

  16. 16.

    Jull A, Bennett D. Do n-of-1 trials really tailor treatment? Lancet. 2005;365:1992–4.

Download references

Acknowledgements

JAS is supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health (grant number K23 HL112850). KWD is supported by the Patient Centered Outcomes Research Institute (grant number ME-1403-12304). LF is supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health (grant numbers P01 HL088117, P01 HL047540, and K24 084034). KC is supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health (grant number R01 NS072127) and by the Patient Centered Outcomes Research Institute (grant number ME-1403-12304). The funders had no role in study design, data collection, decision to publish, or preparation of the manuscript.

Author information

Correspondence to Jonathan A. Shaffer.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

KWD conceived the idea for this systematic review, contributed to its design, and participated in the drafting and editing of the manuscript. JAS, LF, and KC contributed to the design of the systematic review and helped to write and edit the manuscript. All authors read and approved the final manuscript.

Additional file

Additional file 1:

Search strategy. Detailed search strategy proposed for the systematic review.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Keywords

  • N-of-1
  • Crossover
  • Within-subject
  • Health psychology
  • Behavioral medicine

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. Please note that comments may be removed without notice if they are flagged by another user or do not comply with our community guidelines.