2027 Designing a Study With Patients Nested Within Clinics

Imed Bouchrika, PhD

by Imed Bouchrika, PhD

Co-Founder and Chief Data Scientist

What does designing a study with patients nested within clinics mean?

A nested study has at least two levels: patients at the lower level and clinics at the higher level. A patient's outcome may reflect personal characteristics, such as age or condition severity, alongside shared influences such as clinic staffing, scheduling, or care protocols. The study design must identify which influences matter to its question and account for the possibility that outcomes from one clinic are correlated.

Start by defining the outcome, the exposure or intervention, and the unit at which each is measured or assigned. If every patient in a clinic receives the same new workflow, the workflow varies between clinics, even though outcomes are measured for individual patients. That distinction affects both analysis and how many clinics the study needs.

A clinic identifier is therefore essential, but it is not the only important label: patients who receive care at multiple sites may not fit a simple one-clinic-per-patient structure. Teams deciding whether to study operations, records, or technology may also benefit from comparing healthcare administration versus health information management degrees; the fields emphasize different responsibilities, even when both use clinic data.

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When should researchers use multilevel models for clinic-based patient data?

Use a multilevel, or mixed-effects, model when the question involves variation between clinics, clinic-specific predictions, or relationships between patient characteristics and clinic characteristics. A random clinic intercept allows baseline outcomes to differ by clinic; a random slope can allow an association to vary across clinics if the data support that additional complexity. For a yes-or-no outcome, the model must use an appropriate outcome distribution rather than treating the result as continuous by default.

Multilevel modeling does not fix a flawed design. If an intervention is assigned by clinic, an analysis cannot manufacture independent treatment comparisons from a large number of patients at only a few clinics. Nor does a random intercept automatically remove confounding: clinics adopting a new practice may differ systematically from those that do not. Define the causal question and adjustment strategy before choosing model terms.

Healthcare leaders considering doctoral study to conduct this kind of research should examine the statistics and research-design curriculum, not just program speed. A comparison of healthcare administration doctorate pacing and completion factors can help frame the time commitment, but a short timeline alone does not establish preparation for multilevel analysis.

How do researchers account for clinic-level effects in study design?

Account for clinics before collecting data, not only when fitting the final model. In an observational study, record plausible patient- and clinic-level confounders and decide whether comparisons will be made within clinics, between clinics, or both. In a randomized study, decide whether assignment occurs by patient or by clinic. Clinic-level assignment may reduce contamination when staff cannot realistically deliver two workflows side by side, but it also makes the number of clinics central to inference.

For a cluster-randomized trial, consider how clinics will be recruited, assigned, and retained; whether allocation should be balanced on important baseline characteristics; and whether patients will be enrolled before or after clinic assignment. Specify the primary outcome, analysis population, and plan for unequal clinic sizes in advance. If clinics may change protocols over time, collect dates and account for time rather than attributing every change to the intervention.

A multisite study can also be a substantial project for a working administrator. When comparing accelerated online healthcare leadership doctorate programs, ask whether the proposed research timetable allows for clinic agreements, data access, and review requirements; accelerated coursework does not necessarily accelerate those steps.

What careers, salaries, and certifications follow healthcare administration degrees?

Healthcare administration graduates may pursue clinic operations, quality improvement, service-line management, or broader health services management, depending on their experience. Leading a clinic study often requires additional collaboration with biostatisticians, epidemiologists, clinicians, data stewards, and compliance staff. An MHA or MBA can support management decisions; neither is a clinical license or, by itself, evidence of advanced statistical competence.

For salary context, the US Bureau of Labor Statistics reported a May 2025 median annual wage of $126,520 across all management occupations. That broad figure is not a healthcare administration graduate salary or an expected starting offer. Actual pay depends on the role, employer, location, and prior experience. Employer-requested certifications vary by job; verify a posting's requirements rather than assuming a general administration credential is mandatory.

Before enrolling, compare the degree's total cost and the roles you could realistically pursue with your current experience. Tuition comparisons for MHA and related master's programs can help establish a shortlist, but include fees, travel, foregone work time, and any employer support. If the immediate goal is to analyze nested data rather than manage healthcare organizations, focused statistics training and supervised project experience may be the more direct investment.

Other Things You Should Know About Healthcare Administration

Can a clinic administrator lead a study without being its statistician?

Yes. An administrator can help define the operational question, recruit sites, coordinate implementation, and interpret findings. Involve a qualified statistician early enough to shape the design and analysis plan.

Do clinic-based studies always require research ethics review?

Not every operational evaluation is classified as human-subjects research. Have the relevant institutional review board or designated office assess the project under applicable rules before assuming it is exempt or outside review.

What should a team do if a patient visits more than one clinic?

Record the sites and timing rather than assigning a clinic arbitrarily. The analysis may need to account for patients connected to multiple clinics; agree on that plan before finalizing the dataset.

What should a study report so readers can judge its findings?

Report how clinics and patients were selected, the unit of assignment, clinic sizes, missing data, the analysis method, and its assumptions. Those details help readers assess whether conclusions extend beyond the participating sites.