Healthcare
21 columns
200 rows
8 formats

Clinical Trial Recruitment Patterns

This dataset provides detailed, participant-level tracking of recruitment, eligibility, enrollment, and dropout trends across multiple clinical trials and sites. It enables granular analysis of recruitment strategies, participant demographics, and site performance, supporting optimization of clinical research processes and improved trial outcomes.

last updated 20 Aug 2025
by GoMask

The brief that made it

Optimize recruitment strategies for clinical trials

Sample rows

preview · 8 of 200 rows · all 21 columns

trial_idstring	trial_phasestring	participant_ageinteger	dropout_statusboolean	site_statestring	conditionstring	recruitment_start_datedate	recruitment_end_datedate	site_idstring	site_namestring	site_citystring	site_countrystring	participant_idstring	participant_genderstring	eligibility_statusstring	enrollment_datedate	dropout_datedate	dropout_reasonstring	recruitment_methodstring	enrollment_statusstring	trial_titlestring
T001	Phase II	28	false	NY	Migraine	2021-03-01	2022-12-15	S001	New York Neurology Clinic	New York	USA	P00001	Female	Eligible	2021-03-12	blank	blank	Online	Enrolled	Efficacy of Cognitive Therapy for Migraine
T001	Phase II	31	true	NY	Migraine	2021-03-01	2022-12-15	S002	Manhattan Medical Center	New York	USA	P00002	Male	Eligible	2021-04-05	2021-08-22	Adverse reaction to medication	Advertisement	Withdrawn	Efficacy of Cognitive Therapy for Migraine
T002	Phase III	8	false	CO	Pediatric Asthma	2020-05-10	2021-11-30	S003	Denver Children's Hospital	Denver	USA	P00003	Male	Eligible	2020-05-25	blank	blank	Physician Referral	Completed	Pediatric Asthma Management Study
T002	Phase III	10	false	CO	Pediatric Asthma	2020-05-10	2021-11-30	S004	Children's Wellness Center	Denver	USA	P00004	Female	Eligible	2020-06-01	blank	blank	Community Outreach	Completed	Pediatric Asthma Management Study
T003	Phase III	54	false	IL	Diabetes	2019-08-01	2021-04-30	S005	Chicago Health Institute	Chicago	USA	P00005	Female	Eligible	2019-08-10	blank	blank	Advertisement	Completed	Diabetes Self-Management Program
T003	Phase III	46	false	IL	Diabetes	2019-08-01	2021-04-30	S006	Chicago Diabetes Center	Chicago	USA	P00006	Male	Eligible	2019-09-02	blank	blank	Physician Referral	Enrolled	Diabetes Self-Management Program
T004	Phase II	24	false	ON	Gut Health	2022-02-01	2023-09-30	S007	Toronto Digestive Research Center	Toronto	Canada	P00007	Female	Eligible	2022-02-20	blank	blank	Online	Enrolled	Gut Health and Microbiome Analysis
T004	Phase II	30	false	ON	Gut Health	2022-02-01	2023-09-30	S008	Toronto Wellness Clinic	Toronto	Canada	P00008	Other	Eligible	2022-03-10	blank	blank	Community Outreach	Enrolled	Gut Health and Microbiome Analysis
T005	Phase III	71	true	AZ	Hypertension	2020-11-01	2022-05-15	S009	Phoenix Cardiology Center	Phoenix	USA	P00009	Male	Eligible	2020-12-01	2021-03-27	Lost to follow-up	Physician Referral	Withdrawn	Hypertension Medication Efficacy
T005	Phase III	67	false	AZ	Hypertension	2020-11-01	2022-05-15	S010	Phoenix Heart Clinic	Phoenix	USA	P00010	Female	Eligible	2021-01-15	blank	blank	Community Outreach	Completed	Hypertension Medication Efficacy
T006	Phase IV	79	false	BY	COVID-19	2021-01-05	2022-07-31	S011	Munich Senior Health Center	Munich	Germany	P00011	Female	Eligible	2021-01-20	blank	blank	Physician Referral	Completed	COVID-19 Vaccine Response in Elderly
T006	Phase IV	82	true	BY	COVID-19	2021-01-05	2022-07-31	S012	Munich Medical Clinic	Munich	Germany	P00012	Prefer not to say	Eligible	2021-02-10	2021-05-18	Personal reasons	Community Outreach	Withdrawn	COVID-19 Vaccine Response in Elderly
T007	Phase I	49	false	Leinster	Nicotine Dependence	2023-01-15	2024-04-20	S013	Dublin Preventive Medicine	Dublin	Ireland	P00013	Male	Eligible	2023-01-28	blank	blank	Advertisement	Enrolled	Nicotine Dependence Reduction Pilot
T007	Phase I	58	false	Leinster	Nicotine Dependence	2023-01-15	2024-04-20	S014	Dublin Smoking Cessation Center	Dublin	Ireland	P00014	Female	Ineligible	blank	blank	blank	Physician Referral	Screened	Nicotine Dependence Reduction Pilot
T008	Phase III	15	false	VIC	Childhood Obesity	2022-07-01	2023-12-31	S015	Melbourne Youth Clinic	Melbourne	Australia	P00015	Female	Eligible	2022-07-18	blank	blank	Community Outreach	Completed	Obesity Intervention for Adolescents
T008	Phase III	17	false	VIC	Childhood Obesity	2022-07-01	2023-12-31	S016	Melbourne Children's Hospital	Melbourne	Australia	P00016	Male	Eligible	2022-08-03	blank	blank	Physician Referral	Enrolled	Obesity Intervention for Adolescents
T009	Phase IV	70	false	Lombardy	Polypharmacy	2019-02-20	2021-06-10	S017	Milan Senior Care Center	Milan	Italy	P00017	Male	Eligible	2019-03-01	blank	blank	Physician Referral	Completed	Drug Interaction Effects in Elderly
T009	Phase IV	76	true	Lombardy	Polypharmacy	2019-02-20	2021-06-10	S018	Milan Medical Research	Milan	Italy	P00018	Female	Eligible	2019-04-10	2019-09-22	Side effects from medication	Community Outreach	Withdrawn	Drug Interaction Effects in Elderly
T010	Phase III	59	false	ID	Chronic Pain	2022-08-15	2024-02-28	S019	Boise Pain Management Center	Boise	USA	P00019	Other	Eligible	2022-09-01	blank	blank	Advertisement	Enrolled	Chronic Pain Relief Evaluation
T010	Phase III	63	false	ID	Chronic Pain	2022-08-15	2024-02-28	S020	Boise Medical Clinic	Boise	USA	P00020	Female	Ineligible	blank	blank	blank	Physician Referral	Screened	Chronic Pain Relief Evaluation

What the 200 rows show

from the 200-row sample

Phase IV (trial phase) stands out: mean participant_age is 65.8, against 34.0 for the rest.

12%dropout_status = true
39.5median participant_age
2eligibility statuses
4participant genders
4recruitment methods
4enrollment statuses

Mean participant_age by trial_phase200 rows

participant_age200 rows, in bands of 10

Median 39.5, from 4 to 88.

site_state200 rows · top 10 of 38 values

IL16
ON16
Leinster13
NSW13
VIC12
CA12
Berlin10
CO9
AZ9
ID9

21 columns by typefrom the column list below

string 15
integer 1
date 4
boolean 1

Columns

21 columns in four groups

blueprint · 21 columns
column	type	description	example
Text 15 columns
`trial_id`	string	Unique identifier for the clinical trialunique	T001
`trial_title`	string	Official title of the clinical trial	Efficacy of Cognitive The…
`trial_phase`	string	Phase of the clinical trial (e.g., Phase I, II, III, IV)Phase I · Phase II · Phase III · Phase IV	Phase II
`condition`	string	Medical condition or disease being studied	Migraine
`site_id`	string	Unique identifier for the recruitment site	S001
`site_name`	string	Name of the recruitment site (e.g., hospital, clinic)	Manhattan Medical Center
`site_city`	string	City where the recruitment site is located	New York
`site_state`	string	State or province of the recruitment site	NY
`site_country`	string	Country of the recruitment site9 countries	USA
`participant_id`	string	Unique identifier for the participantunique	P00001
`participant_gender`	string	Gender of the participantMale · Female · Other · Prefer not to say	Female
`eligibility_status`	string	Eligibility status of the participant (e.g., eligible, ineligible)Eligible · Ineligible	Eligible
`dropout_reason`	string	Reason for participant dropout (if applicable)optional	Lost to follow-up
`recruitment_method`	string	Method used to recruit the participant (e.g., online, physician referral, advertisement)5 values · optional	Online
`enrollment_status`	string	Current enrollment status of the participantEnrolled · Screened · Withdrawn · Completed	Enrolled
Numbers 1 column
`participant_age`	integer	Age of the participant at enrollment0 to 120	28
Dates and times 4 columns
`recruitment_start_date`	date	Date when participant recruitment started	2021-03-01
`recruitment_end_date`	date	Date when participant recruitment ended or is planned to endoptional	2022-12-15
`enrollment_date`	date	Date when the participant was enrolled in the trialoptional	2021-03-12
`dropout_date`	date	Date when the participant dropped out (if applicable)optional	2021-08-22
True or false 1 column
`dropout_status`	boolean	Indicates if the participant dropped out of the trial	false

Use it for

A healthcare dashboard
The dropout_status rate, participant_age by trial_phase and a breakdown of site_state. Excel, Power BI or Tableau.
Why do the 55 Phase IV rows have a mean participant_age of 65.8?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Trials200
T00128Phase II
T00131Phase II
T00571Phase III
A software demo
Believable trials with trial_title, trial_phase and condition to fill a screen in front of a buyer.

This dataset200 rows21 columns

Yours1,000 rows21 columnssite_id: UK only

blueprint · clinical-trial-recruitment-patterns

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 21 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Participant demographics and trial phase
Eligibility status determined by predefined criteria
Enrollment and dropout annotated
Multiple trials and sites included

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: clinical-trial-recruitment-patterns

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A healthcare dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?