Mental Health Clinics in Corunna, MI Accepting Medicare
3 Mental Health Clinics found. Showing 1 - 3
 Connections Counseling Services Pllc Social Worker Medicare: Medicare Enrolled Practice Location: 601 W Corunna Ave, Corunna, MI 48817 Phone: 810-275-8122 Fax: 517-323-9531 |
Insight In Shiawassee County Counselor Medicare: Not Enrolled in Medicare Practice Location: 110 E Mack St, Corunna, MI 48817 Phone: 517-371-4971 |
Recovery Pathways, Llc Clinic - Adult Mental Health Medicare: Not Enrolled in Medicare Practice Location: 211 N Shiawassee St Ste A, Corunna, MI 48817 Phone: 989-928-3566 Fax: 989-494-0405 |
News Archive
Study finds variation in the effectiveness of collaborative care for depression
In the United States, more than half of people living with a mental health disorder do not receive treatment, according to the National Institute of Mental Health, which is why primary-care clinics can play a leading role in depression care.
People enroll in fitness program to qualify for lower out-of-pocket health care costs
It was a controversial move when a health insurer began requiring people who were obese to literally pay the price of not doing anything about their weight - but it worked, a new study finds.
Smokers with higher math ability more likely to intend to quit
For smokers who are better at math, the decision to quit just adds up, a new study suggests.Researchers found that smokers who scored higher on a test of math ability were more likely than others to say they intended to quit smoking.
Novo Nordisk to use Trialbee's services for e-recruitment of patients for clinical studies
Trialbee has developed a web based platform and methodology which enable the Novo Nordisk to perform fast and effective patient recruitment to specific clinical trials. Trialbee helps reduce the time required for recruitment resulting in important efficiency gains for the pharmaceutical company.
Columbia Engineering researchers develop breast cancer survival predictor
Columbia Engineering researchers, led by Dimitris Anastassiou, Charles Batchelor Professor in Electrical Engineering and member of the Columbia Initiative in Systems Biology, have developed a new computational model that is highly predictive of breast cancer survival.
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