Key finding: A health administration (MHA) thesis is judged on whether it connects a management question to credible healthcare evidence. That evidence comes from four kinds of source: peer-reviewed health services and management journals, large administrative and survey datasets, professional-association research and standards, and government reports. This list names the specific sources an MHA committee expects to see, explains what each is good for, and shows how to combine them into a search and data plan before you commit to a design.

The list is organized by job: journals for the literature review, datasets for secondary-data designs, associations for practice context and government sources for policy framing. Check your library’s access before assuming any source is available, and read each source’s current terms before you plan your analysis. For help organizing the literature review itself, see the guide to the literature review of a management dissertation, which covers synthesis and structure in a business setting.

Part 1: Journals for the literature review

1. Journal of Healthcare Management

This is the official journal of the American College of Healthcare Executives. It is peer reviewed, published bimonthly, and aimed at healthcare leaders who must manage complex issues and make strategic decisions. It is a natural source for leadership, operations and organizational questions framed for practitioners.

2. Health Care Management Review

Published by Wolters Kluwer, this journal covers management and organization research in health care. It is a frequent source of empirical studies on hospital and health system management.

3. Medical Care Research and Review

Published by SAGE, it carries health services research and is useful for studies on access, quality, financing and delivery.

4. Health Affairs

Published by Project HOPE, it covers health policy and its effects on organizations, and is a strong source for the policy context of an administration question.

Other journals you will meet include the International Journal of Health Economics and Management, published by Springer, which suits finance and economics topics. Search for titles in your own library catalog and read each scope statement before you cite from a journal for the first time.

Part 2: Datasets for secondary-data designs

5. HCUP, the Healthcare Cost and Utilization Project

HCUP is a family of healthcare databases, software tools and products sponsored by the Agency for Healthcare Research and Quality and developed through a federal-state-industry partnership. It holds all-payer, encounter-level hospital data covering many years. The National Inpatient Sample, part of the family, is an all-payer inpatient database built from the billing data hospitals submit to statewide data organizations, and it is used to make national estimates of utilization, access, cost, quality and outcomes. Access to record-level files involves a data use agreement and a purchase, and the HCUP website lists prices and any discounts, so plan the cost and the timeline before you propose a design that depends on it.

6. HCUP online data tools

For descriptive statistics without buying the files, AHRQ offers online data tools built on HCUP. They are useful for scoping a question, checking that a topic has enough volume, and writing the background chapter. They cannot replace record-level analysis, so state in your methods chapter whether you used summary tools or purchased files.

7. CMS public data

The Centers for Medicare and Medicaid Services publishes provider, utilization and quality data on its public data site. Browse it for hospital and provider-level measures, then read each dataset’s documentation for the unit of analysis, years and definitions. Because these files are published at provider level, they suit administration questions about facilities rather than patients.

8. Hospital and health system annual reports and community benefit filings

Annual reports, financial statements and tax filings of nonprofit hospitals describe finances, services and community programs. They are useful for case-study theses and for context, but record the publisher and access date and avoid treating a hospital’s own claims as evidence of effectiveness.

9. Your own organization’s records

Many MHA theses are written inside a hospital or clinic. Internal data can be rich, but it requires permission, a data-use plan and often ethics review, and you must be clear about whether the project is quality improvement or research. Confirm approvals in writing before you collect anything.

Part 3: Associations and standards

10. American College of Healthcare Executives

Besides the journal above, ACHE offers practitioner resources, competencies and career material for healthcare leaders. Use its competency frameworks to ground questions about leadership, and treat its practitioner articles as context rather than peer-reviewed evidence.

11. Professional and trade associations in your sector

Hospital, medical group and long-term care associations publish surveys, benchmarks and policy positions. Name the association, report the date of the document and say whether the numbers are survey-based or member-reported.

12. Accreditation and quality bodies

Accreditation and quality organizations publish standards and measures that organizations use to benchmark performance. If your thesis evaluates compliance or quality, cite the exact version of the standard you used.

Part 4: Government and policy sources

13. The Agency for Healthcare Research and Quality

Beyond HCUP, AHRQ publishes research reports, quality indicators and toolkits that suit patient safety and quality questions in administration.

14. Federal and state health agencies

State health departments and federal agencies publish regulations, reports and data about hospitals, workforce and public programs. Use them to frame regulatory context and cite the specific document and date.

15. Dissertations and capstone repositories

Past MHA capstones and dissertations show how programs scope projects and what data other students could obtain. The guide to open-access thesis repositories lists where to look.

A search and data plan for an MHA thesis

1. Write your management question and name the unit of analysis. Is it a patient, a unit, a hospital, a system or a policy?
2. Choose evidence types that match the unit. Patient-level questions point to HCUP-type data; facility-level questions point to CMS provider data; staff-level questions usually need a survey you design or adapt.
3. Search two journals’ archives and one database for your key terms, and record the strings and dates. The guide to Boolean search strings shows how to build them.
4. Check data access early. Note the cost, the data use agreement, the approval time and any restrictions on use.
5. Add one association or government source for context, labeled as non-peer-reviewed.
6. Write the design justification. One paragraph on why these sources match your question and what they cannot answer.

An illustrative example: turning a question into a source plan

Suppose your question is whether hospital size is related to how long patients stay after a common surgery. The unit of analysis is the patient discharge, so an encounter-level source such as the HCUP National Inpatient Sample fits, while a provider-level file does not. Your journal search would cover length of stay, hospital characteristics and case mix, so you know which variables earlier authors adjusted for. Your data plan would list the variables you need (age, diagnosis, procedure, hospital size category, payer), the cost and timeline of access, and the weighting needed for national estimates. Your design paragraph would then state that the study is a retrospective cross-sectional analysis of discharge data, that it can show association but not cause, and that it cannot see anything the billing records do not contain. That one example shows the logic: unit of analysis, then source, then variables, then limits.

Defining variables so the data answer your question

Administrative data were collected for billing, not for your thesis, so every variable needs a definition you can defend. Decide how you will define the population with diagnosis or procedure codes, which years you include, how you will handle missing values, and how you will measure the outcome, for example length of stay in days or a cost measure adjusted for inflation. Write these decisions in a table in your methods chapter with the variable name in the dataset, your definition and the source of the definition, such as the data documentation or a prior study. Examiners will ask why you drew the line where you did, and the table lets you answer from the page.

Planning the timeline around data access

Data access is the step most likely to delay an MHA thesis, so schedule it first. A purchased dataset needs a signed agreement and a payment, which can involve your institution’s research office and take weeks. An internal dataset needs a sponsor, a written permission and a determination about whether the work is research. Public provider data can usually be downloaded at once, but still needs time to read the documentation. Work backward from your defense date, add a buffer for each approval, and use the waiting time to write the literature review and methods chapters so the analysis can start the day the data arrive.

Matching sources to common MHA designs

For the full structure of the dissertation or capstone these choices feed into, see the guide to how to write a business management dissertation.

Common mistakes

• Proposing a purchased dataset without checking cost, agreement and timeline.
• Citing practitioner articles as peer-reviewed evidence.
• Choosing a patient-level design with provider-level data.
• Failing to separate quality improvement from research in an internal project.
• Using outdated policy or regulatory sources without checking the current version.
• Not recording search strings, dates and dataset versions.

Where Tesify fits

When your sources and design are chosen, Tesify’s thesis workspace helps you structure the literature review and methods chapters around them; 9,000+ students have written 15,000+ chapters with Tesify. Every word stays 100% written by you, and Tesify cannot buy data, accept a data use agreement or confirm that a source says what you cite.

Frequently asked questions

Which journals should an MHA thesis cite?

Start with the Journal of Healthcare Management, Health Care Management Review, Medical Care Research and Review and Health Affairs, then add journals specific to your topic.

Is HCUP free?

Some summary tools are online, but record-level files involve a data use agreement and purchase; the HCUP website lists prices and any discounts.

Can I use data from my own hospital?

Often yes, with written permission, a data-use plan and the ethics determination your institution requires; decide first whether the project is quality improvement or research.

Are association reports acceptable sources?

They are acceptable for context and practice standards, but label them as non-peer-reviewed and say who produced the numbers.

How do I choose between secondary data and a survey?

Match the unit of analysis: provider or patient questions often fit secondary data, while staff attitudes usually need a survey.

How many sources should an MHA literature review have?

There is no fixed number; follow your program’s expectation and make sure each theme has a few strong anchor studies.

Do I need ethics approval for public datasets?

Often a light review or exemption applies, but your institution’s review board decides.

How current should policy sources be?

As current as possible; cite the version and date of any regulation or standard and note pending changes.