Here you'll find new evidence and guidance from various sources across a variety of conditions of relevance to different audiences.

Resource
Helping Men Decide on Prostate Cancer Treatment

Problems are more likely three years after surgery than after radiation or surveillance, a study finds.

Resource
A Patient Decision Aid to Help Heavy Smokers Make Decisions about Lung Cancer Screening

For smokers, lung cancer is an ever-present fear. In 2013, about 160,000 people in the United States will die from lung cancer. Smoking is the #1 risk factor for lung cancer, and quitting smoking is the best way to lower the risk. Smoking is also a risk factor for other cancers and health problems, including heart and lung disease. We now have a secondary prevention strategy, annual screening with low-dose computed tomography (LDCT scans) that has the potential to greatly reduce lung cancer deaths.

Resource
Enlisting the Brain in the Fight against Pain

A project in Alabama takes a down-to-earth approach in teaching patients to think differently and cope more effectively with chronic pain. It may alleviate depression, too.

Resource
Working On Empty

An Agenda for Healthy Work in America: To restore to Americans their pursuit of Life, Liberty and Healthy Work.

Resource
Cancer in the Workplace - Supporting Treatment for Positive Employee and Employer Results

The big “C” – cancer — can cause panic and feelings of helplessness. These feelings, however, often are shared beyond the patients being screened or treated for the disease. Employers often are unsure of how to help their employees who have been diagnosed with cancer and desire to remain at work during treatment or return to work after care.

Resource
Identifying Personal Strengths to Help Patients Manage Chronic Illness

Most current approaches to patient care are focused on patients’ symptoms, limitations, and weaknesses. This approach can guide medical treatment, but it does not unleash the transformative power of people’s positive personal strengths that can help patients to live a fulfilling life despite having multiple chronic illnesses. A growing body of research points to the potential of bringing patient-identified personal strengths (PIPS) into illness management to achieve better patient-centered outcomes.

Resource
Can People Who Have Experience with Serious Mental Illness Help Peers Manage Their Health Care?

The mortality rate among people with serious mental illness (SMI) is two to three times that of the general population (DeHert et al., 2011), meaning that those with a serious mental illness die, on average, 25 years earlier than those without a SMI (Parks et al., 2006). There is evidence that these deaths are largely attributed to preventable medical conditions, many of which are more common in the SMI population.

Resource
Is a Patient Navigation Program More Helpful than a Referral Program for Reducing Depression and Improving Quality of Life among Women Living in Neighborhoods with Few Resources?

Background: Socioeconomically disadvantaged (SD) women are at elevated risk for depression and poor treatment engagement and outcomes. Many use obstetric/gynecology (OB/GYN) practices as their primary resource for physical and mental health care. Yet their depression most often goes unrecognized and unaddressed within OB/GYN, and, when addressed, engagement and outcomes are poor. Patients at the greatest risk include those with multiple biomedical and psychosocial problems, trauma exposure, healthcare barriers, and experiencing a lack of empowerment over one’s own health.

Resource
Working with Bilingual Community Health Worker Promotoras to Improve Depression and Self-Care among Latino Patients with Long-Term Health Problems

Major depression, plus other chronic illness such as diabetes, coronary heart disease and heart failure is common among low-income, culturally diverse safety net care patients. Unfortunately, many of these patients are uncomfortable about either asking their doctor questions about their illness and treatment options and their illness self-care or informing their doctors about their treatment preferences.

Resource
Pilot Project: Predicting Who Will Respond Best to Medical Treatments

Recent evidence shows that the results of randomized clinical trials might not apply to individual patients in a straightforward way, even to those within the trial. While randomization ensures the comparability of treatment groups overall, there remain important differences between individuals in each treatment group that can dramatically affect the likelihood of benefiting from or being harmed by a therapy. Averaging effects across such different patients can give misleading results to physicians who care for individual, not average, patients.