In 2019 the (U.S.) state of Oregon capped hospital prices for state employees at 200% of Medicare costs. A study of 22 hospitals found that there were small but non-significant changes in hospitals' revenues, expenses, and margins as a result, while reducing state expenditures and patients' out-of-pocket costs.

Summary: https://medicalxpress.com/news/2025-12-oregon-nation-hospital-price-cap.html

Original paper (not open access): https://www.healthaffairs.org/doi/10.1377/hlthaff.2025.00682

#HealthCare #HealthInsurance #Oregon

DECK THE HALLS WITH PROPER STAFFING

#NZPol #Healthcare #NorthShoreHospital

AUPE Media Release: Dual health-care system will cripple staffing levels in Alberta

Premier’s obsession with private profit will be paid in pain by Albertans

EDMONTON—Premier Smith’s plan for a dual public-private health system is doomed to fail for one simple reason: There are not enough workers, says the Alberta Union of Provincial Employees (AUPE).

“There’s a shortage of health-care workers in Alberta, across Canda and around the world,” says Sandra Azocar, president of AUPE, which represents more than 60,000 health-care workers.

“Hospitals and health-care facilities are constantly running without appropriate numbers of staff. Many of them have endured temporary closures because there aren't enough workers to stay open,” she says.

The dual health-care system the provincial government proposes in the Health Statutes Amendment Act would allow physicians to practice in both private and public systems and to charge extra for private care.

“Albertans suffering while waiting for treatment will be forced to spend money they can’t afford to get the treatment they need. For those without that option, wait times will just get longer,” says Azocar.

“There is a finite number of physicians and other health-care workers. They will be pulled from the public system and into the private lane, leaving ordinary Albertans behind.”

Thanks to Smith’s ideological agenda, Albertans will face even longer wait times to get the treatment they need.

“The immense pressure already felt by front-line workers will increase as the staff shortages get worse. They’ll also be the people dealing face-to-face with angry Albertans in unnecessary pain who have waited years to get treatment,” says Azocar.

As treatments are delayed, health conditions will deteriorate. It will become more expensive to treat patients, leading to more Albertans turning up at already overcrowded Emergency Rooms.

“The premier’s obsession with corporate profit will be paid in pain by the people,” says Azocar.

She adds that the dual system is likely to face court challenges as a violation of the Canada Health Act.

“Albertans need to know if the premier will invoke the notwithstanding clause again to impose her vision of a U.S.-style system where people buy their way to the front of the line.”

https://www.aupe.org/news/news-and-updates/dual-health-care-system-will-cripple-staffing-levels-alberta

#abpoli #cdnpoli #healthcare #privatization #union #Solidarity

In Part 2 of “Sick in a Hospital Town,” we look at how a century-old community hospital in Albany, Georgia, became the only hospital in town — and grew into a sprawling health care system by waging a yearslong battle to eliminate its competition.
https://projects.propublica.org/albany-georgia-hospital/part-two/?utm_source=mastodon&utm_medium=social&utm_campaign=mastodon-post

#Georgia #Health #Healthcare #Business #History #BlackHistory #Journalism

DECK THE HALLS WITH PROPER STAFFING

#NZPol #Healthcare #NorthShoreHospital

NEW: In a five-part series, “Sick in a Hospital Town,” ProPublica’s Ginger Thompson pursues the question:

Why are people in Albany, Georgia, so sick when its most powerful institution is a hospital?

Start with Part 1 here: https://projects.propublica.org/albany-georgia-hospital/part-one/?utm_source=mastodon&utm_medium=social&utm_campaign=mastodon-post

#Georgia #Health #Healthcare #Journalism #Hospital #Poverty #COVID

'Life being stressful is not an illness' – GPs on mental health over-diagnosis

https://www.bbc.com/news/articles/cx2pvxdn9v4o

#HackerNews #MentalHealth #OverDiagnosis #StressfulLife #GPs #Perspectives #Wellbeing #Healthcare

The story of Albany, Georgia, is the story of American health care.

Sick in a Hospital Town, a new series from ProPublica, debuts Sunday, Dec. 7.

Sign up to get it in your inbox: https://www.propublica.org/newsletters/the-big-story

#Health #Healthcare #Georgia #Medicine #Hospital #News #Journalism

Imagine… #healthcare

What lengths will a hospital go to in order to become the only game in town — and what does it mean for the patients?

Read Sick in a Hospital Town, a new series debuting Dec. 7 on ProPublica.

➡️ Sign up to get this investigation in your inbox as soon as it's published: https://www.propublica.org/newsletters/the-big-story

#Georgia #Health #Healthcare #Hospital

DATE: November 30, 2025 at 02:00PM
SOURCE: PSYPOST.ORG

** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------

TITLE: Learning via ChatGPT leads to shallower knowledge than using Google search, study finds

URL: https://www.psypost.org/learning-via-chatgpt-leads-to-shallower-knowledge-than-using-google-search-study-finds/

Since the release of ChatGPT in late 2022, millions of people have started using large language models to access knowledge. And it’s easy to understand their appeal: Ask a question, get a polished synthesis and move on – it feels like effortless learning.

However, a new paper I co-authored offers experimental evidence that this ease may come at a cost: When people rely on large language models to summarize information on a topic for them, they tend to develop shallower knowledge about it compared to learning through a standard Google search.

Co-author Jin Ho Yun and I, both professors of marketing, reported this finding in a paper based on seven studies with more than 10,000 participants. Most of the studies used the same basic paradigm: Participants were asked to learn about a topic – such as how to grow a vegetable garden – and were randomly assigned to do so by using either an LLM like ChatGPT or the “old-fashioned way,” by navigating links using a standard Google search.

No restrictions were put on how they used the tools; they could search on Google as long as they wanted and could continue to prompt ChatGPT if they felt they wanted more information. Once they completed their research, they were then asked to write advice to a friend on the topic based on what they learned.

The data revealed a consistent pattern: People who learned about a topic through an LLM versus web search felt that they learned less, invested less effort in subsequently writing their advice, and ultimately wrote advice that was shorter, less factual and more generic. In turn, when this advice was presented to an independent sample of readers, who were unaware of which tool had been used to learn about the topic, they found the advice to be less informative, less helpful, and they were less likely to adopt it.

We found these differences to be robust across a variety of contexts. For example, one possible reason LLM users wrote briefer and more generic advice is simply that the LLM results exposed users to less eclectic information than the Google results. To control for this possibility, we conducted an experiment where participants were exposed to an identical set of facts in the results of their Google and ChatGPT searches. Likewise, in another experiment we held constant the search platform – Google – and varied whether participants learned from standard Google results or Google’s AI Overview feature.

The findings confirmed that, even when holding the facts and platform constant, learning from synthesized LLM responses led to shallower knowledge compared to gathering, interpreting and synthesizing information for oneself via standard web links.

Why it matters

Why did the use of LLMs appear to diminish learning? One of the most fundamental principles of skill development is that people learn best when they are actively engaged with the material they are trying to learn.

When we learn about a topic through Google search, we face much more “friction”: We must navigate different web links, read informational sources, and interpret and synthesize them ourselves.

While more challenging, this friction leads to the development of a deeper, more original mental representation of the topic at hand. But with LLMs, this entire process is done on the user’s behalf, transforming learning from a more active to passive process.

What’s next?

To be clear, we do not believe the solution to these issues is to avoid using LLMs, especially given the undeniable benefits they offer in many contexts. Rather, our message is that people simply need to become smarter or more strategic users of LLMs – which starts by understanding the domains wherein LLMs are beneficial versus harmful to their goals.

Need a quick, factual answer to a question? Feel free to use your favorite AI co-pilot. But if your aim is to develop deep and generalizable knowledge in an area, relying on LLM syntheses alone will be less helpful.

As part of my research on the psychology of new technology and new media, I am also interested in whether it’s possible to make LLM learning a more active process. In another experiment we tested this by having participants engage with a specialized GPT model that offered real-time web links alongside its synthesized responses. There, however, we found that once participants received an LLM summary, they weren’t motivated to dig deeper into the original sources. The result was that the participants still developed shallower knowledge compared to those who used standard Google.

Building on this, in my future research I plan to study generative AI tools that impose healthy frictions for learning tasks – specifically, examining which types of guardrails or speed bumps most successfully motivate users to actively learn more beyond easy, synthesized answers. Such tools would seem particularly critical in secondary education, where a major challenge for educators is how best to equip students to develop foundational reading, writing and math skills while also preparing for a real world where LLMs are likely to be an integral part of their daily lives.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

URL: https://www.psypost.org/learning-via-chatgpt-leads-to-shallower-knowledge-than-using-google-search-study-finds/

-------------------------------------------------

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Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com

EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org

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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist

For the residents of one Georgia town, the name “Phoebe” dominates the economic, political and health care landscape.

On Dec. 7, see what it’s like to be sick in a hospital town.

✉️ Sign up to receive this investigation in your inbox: https://www.propublica.org/newsletters/the-big-story

#Georgia #Health #Healthcare #Hospital

DATE: November 30, 2025 at 06:00AM
SOURCE: PSYPOST.ORG

** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------

TITLE: Psychotic delusions are evolving to incorporate smartphones and social media algorithms

URL: https://www.psypost.org/psychotic-delusions-are-evolving-to-incorporate-smartphones-and-social-media-algorithms/

New research analyzing medical records from a psychiatric treatment program suggests that the content of psychotic delusions is increasingly incorporating themes related to the internet and modern technology. The study provides evidence that the prevalence of these technology-focused false beliefs rose significantly over an eight-year period. The findings were published in The British Journal of Psychiatry.

Psychiatry has long distinguished between the form of a delusion and its specific content. The form refers to the structural category of the belief, such as paranoia, grandiosity, or the sense that one is being controlled by external forces.

Research indicates that these forms tend to remain relatively consistent across different cultures and historical eras. However, the specific narratives that fill these forms are often shaped by the surrounding environment and the sociopolitical climate of the time.

Historical data illustrates this adaptability of the human mind during psychosis. In the early 20th century, patients frequently harbored delusions regarding syphilis. During the Second World War, fears often centered on enemy soldiers. By the Cold War, the thematic content shifted toward spies, communists, and nuclear threats.

As technology evolved, so did the explanations for strange experiences. The widespread adoption of radio and television saw a rise in patients believing these devices were transmitting thoughts or controlling their actions.

The rapid advancement of digital technology in the last three decades has created a new landscape for human interaction. The internet, smartphones, and social media have fundamentally altered how individuals perceive space, privacy, and communication.

Given this shift, the authors of the current study sought to examine the extent to which these modern tools have infiltrated the delusional frameworks of patients today. They aimed to quantify the prevalence of such beliefs and determine if they are becoming more frequent as technology becomes more ubiquitous.

“For many years I have worked closely with patients with psychotic disorders, and over time I came to appreciate more and more the extent to which technology was incorporated into delusional frameworks,” said study author Alaina Vandervoort Burns, an assistant clinical professor at the UCLA-Semel Institute for Neuroscience and Human Behavior.

“In order to comprehensively evaluate my patients’ delusions I had to ask specific questions about technology. I realized that education around the evaluation of delusional thought content was not up to date, and I hope to increase psychiatrists’ awareness of how common technology delusions are so we can properly evaluate and treat our patients.”

“Additionally, given how rapidly technology has advanced, things that seemed impossible just a few decades ago, or even a few years ago, are now possible. This has made it harder to determine what is ‘delusional,’ as my patients often describe things that are very much on the blurred line of what is considered reality-based and what is considered psychotic. To me it’s just so interesting to think about.”

To investigate this, the researchers focused on a specific cohort of adults. They utilized data from the Thought Disorders Intensive Outpatient Program at the University of California, Los Angeles.

This program serves adults with psychotic disorders, primarily schizophrenia and schizoaffective disorder. The participants in this sample were generally stable enough to attend group therapy and were not actively using drugs or alcohol at the time of treatment.

The team conducted a retrospective review of medical records for 228 patients who were enrolled in the program between December 2016 and May 2024. They manually examined initial psychiatric assessments and weekly progress notes to identify descriptions of delusional thought content. Using qualitative analysis software, the researchers categorized these delusions into standard subtypes. They also specifically coded for any mention of new technologies.

The definition of technology delusions in this study was broad. It included references to the internet, Wi-Fi networks, and mobile devices. It also encompassed beliefs about hacking, surveillance through hidden electronics, and social media interactions. Additionally, the researchers looked for instances of “The Truman Show” delusion, where a person believes their life is being filmed and broadcast for entertainment.

The analysis revealed that delusional thinking was a prominent feature in this group. Approximately 88 percent of the subjects reported experiencing delusions during their treatment. Among those who experienced delusions, slightly more than half incorporated technology into their beliefs. This suggests that digital themes have become a major component of modern psychosis.

The most frequent technological theme involved the compromise of personal devices. Forty subjects expressed the belief that their computers, phones, or internet connections had been hacked.

The specific manifestations varied. One patient believed spyware had been installed on his phone. Another felt that static on a phone line was evidence of someone listening to her conversations. Paranoia regarding Wi-Fi routers was also observed, with some patients believing neighbors were tampering with their internet connections.

Social media platforms featured in the delusions of about one-quarter of the group. Instagram was the most commonly cited platform, followed by YouTube, Facebook, and X (formerly Twitter).

Patients described a variety of referential beliefs. Some felt that posts on these platforms contained encoded messages meant specifically for them. Others believed they were communicating directly with celebrities through these apps. One subject reported that YouTube videos would appear with titles matching their exact thoughts.

Surveillance through hidden equipment was another common source of distress. Twenty-one subjects believed that cameras or microphones were concealed in their environment. These fears often extended to the structure of their homes, with patients suspecting devices were behind walls or in ceilings. Some participants believed that microchips or tracking devices had been implanted in their bodies.

The researchers also identified eleven subjects who experienced “The Truman Show” delusion. These individuals believed they were the central characters in a staged reality. One man believed his parents had replaced the lamps in his home with cameras. Another described feeling like a virtual pet in an aquarium, constantly observed by an outside audience.

To measure trends over time, the researchers utilized a binary logistic regression analysis. This statistical method allowed them to determine if the year of admission predicted the presence of technology delusions.

The results showed a significant positive correlation. For every one-year increase in the admission date, the odds of a patient presenting with technology-related delusions increased by approximately 15 percent.

“The content of delusional thoughts changes with the times, and technology delusions have become more frequent,” Burns told PsyPost. “Social media in particular can be tricky to navigate for someone who is struggling with psychosis.”

The study also examined whether demographic factors influenced these symptoms. The researchers looked at gender, age, education level, and history of substance use.

The analysis found no significant association between these variables and the presence of technology delusions. This finding contrasts with the initial hypothesis that younger people, who are often considered digital natives, would be more likely to experience these themes. The data suggests that technology delusions are pervasive across different age groups within this population.

“I was surprised that younger people did not have a higher likelihood of experiencing technology delusions,” Burns said. “In our study, age was not significantly associated with the presence of a technology delusion.”

The authors noted that the distinction between reality and delusion can be complicated by the actual capabilities of modern technology. Real-world algorithms do track user behavior to serve targeted content. This can sometimes mimic the experience of having one’s mind read or being watched.

For individuals with psychosis, these legitimate privacy concerns can spiral into fixed, false beliefs. The study highlights that beliefs once considered bizarre, such as being monitored through a phone, are now technically feasible.

As with all research, there are limitations. The research relied on retrospective data extracted from medical notes rather than standardized interviews. This means that the recorded incidence of these symptoms depends on what clinicians chose to document. It is possible that treatment teams simply became more likely to ask about technology in later years.

Additionally, the sample consisted of individuals who were housed and insured, which may not represent the full spectrum of people living with psychotic disorders.

Future research in this area is expected to address the emergence of artificial intelligence. As the boundary between the digital and physical worlds continues to blur, the content of delusions will likely continue to evolve.

“The data for this study was collected before artificial intelligence was widely available, and I think it’s going to be fascinating to see how AI interfaces with psychosis moving forward,” Burns said. “I imagine we will be seeing a lot of patients seeking treatment for AI-associated psychosis.”

The study, “‘The algorithm is hacked’: analysis of technology delusions in a modern-day cohort,” was authored by Alaina V. Burns, Kyle Nelson, Haley Wang, Erin M. Hegarty and Alexander B. Cohn.

URL: https://www.psypost.org/psychotic-delusions-are-evolving-to-incorporate-smartphones-and-social-media-algorithms/

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In 2019 the (U.S.) state of Oregon capped hospital prices for state employees at 200% of Medicare costs. A study of 22 hospitals found that there were small but non-significant changes in hospitals' revenues, expenses, and margins as a result, while reducing state expenditures and patients' out-of-pocket costs.

Summary: https://medicalxpress.com/news/2025-12-oregon-nation-hospital-price-cap.html

Original paper (not open access): https://www.healthaffairs.org/doi/10.1377/hlthaff.2025.00682

#HealthCare #HealthInsurance #Oregon

On Dec. 7, we’re taking you to Albany, Georgia, and telling a story as we never have before.

In a new 5-part series, ProPublica’s Ginger Thompson pursues one question: “Why are people in Albany so sick when its most powerful institution is a hospital?”

Sign up to get this story as soon as it publishes: https://www.propublica.org/newsletters/the-big-story

#Georgia #Health #Healthcare #Hospital

Today is World AIDS Day, and for the first time since its inception in 1988, the U.S. government will not be commemorating it. Trent Straube from
POZ Magazine writes about the stats on HIV and AIDS, and the impact of the Trump administration. "Although new HIV rates have declined overall, progress is imperiled due to funding cuts and a hostile administration in the White House," writes Straube.

https://flip.it/LTvKga

https://flipboard.com/@POZ2020

#WorldAIDSDay #Health #Medicine #Healthcare #TrumpAdministration #DonaldTrump #USAID #USPolitics

The Penicillin Myth

https://www.asimov.press/p/penicillin-myth

#HackerNews #Penicillin #Myth #Healthcare #History #Medicine #Myths

Imagine… #healthcare

DATE: November 30, 2025 at 02:00PM
SOURCE: PSYPOST.ORG

** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------

TITLE: Learning via ChatGPT leads to shallower knowledge than using Google search, study finds

URL: https://www.psypost.org/learning-via-chatgpt-leads-to-shallower-knowledge-than-using-google-search-study-finds/

Since the release of ChatGPT in late 2022, millions of people have started using large language models to access knowledge. And it’s easy to understand their appeal: Ask a question, get a polished synthesis and move on – it feels like effortless learning.

However, a new paper I co-authored offers experimental evidence that this ease may come at a cost: When people rely on large language models to summarize information on a topic for them, they tend to develop shallower knowledge about it compared to learning through a standard Google search.

Co-author Jin Ho Yun and I, both professors of marketing, reported this finding in a paper based on seven studies with more than 10,000 participants. Most of the studies used the same basic paradigm: Participants were asked to learn about a topic – such as how to grow a vegetable garden – and were randomly assigned to do so by using either an LLM like ChatGPT or the “old-fashioned way,” by navigating links using a standard Google search.

No restrictions were put on how they used the tools; they could search on Google as long as they wanted and could continue to prompt ChatGPT if they felt they wanted more information. Once they completed their research, they were then asked to write advice to a friend on the topic based on what they learned.

The data revealed a consistent pattern: People who learned about a topic through an LLM versus web search felt that they learned less, invested less effort in subsequently writing their advice, and ultimately wrote advice that was shorter, less factual and more generic. In turn, when this advice was presented to an independent sample of readers, who were unaware of which tool had been used to learn about the topic, they found the advice to be less informative, less helpful, and they were less likely to adopt it.

We found these differences to be robust across a variety of contexts. For example, one possible reason LLM users wrote briefer and more generic advice is simply that the LLM results exposed users to less eclectic information than the Google results. To control for this possibility, we conducted an experiment where participants were exposed to an identical set of facts in the results of their Google and ChatGPT searches. Likewise, in another experiment we held constant the search platform – Google – and varied whether participants learned from standard Google results or Google’s AI Overview feature.

The findings confirmed that, even when holding the facts and platform constant, learning from synthesized LLM responses led to shallower knowledge compared to gathering, interpreting and synthesizing information for oneself via standard web links.

Why it matters

Why did the use of LLMs appear to diminish learning? One of the most fundamental principles of skill development is that people learn best when they are actively engaged with the material they are trying to learn.

When we learn about a topic through Google search, we face much more “friction”: We must navigate different web links, read informational sources, and interpret and synthesize them ourselves.

While more challenging, this friction leads to the development of a deeper, more original mental representation of the topic at hand. But with LLMs, this entire process is done on the user’s behalf, transforming learning from a more active to passive process.

What’s next?

To be clear, we do not believe the solution to these issues is to avoid using LLMs, especially given the undeniable benefits they offer in many contexts. Rather, our message is that people simply need to become smarter or more strategic users of LLMs – which starts by understanding the domains wherein LLMs are beneficial versus harmful to their goals.

Need a quick, factual answer to a question? Feel free to use your favorite AI co-pilot. But if your aim is to develop deep and generalizable knowledge in an area, relying on LLM syntheses alone will be less helpful.

As part of my research on the psychology of new technology and new media, I am also interested in whether it’s possible to make LLM learning a more active process. In another experiment we tested this by having participants engage with a specialized GPT model that offered real-time web links alongside its synthesized responses. There, however, we found that once participants received an LLM summary, they weren’t motivated to dig deeper into the original sources. The result was that the participants still developed shallower knowledge compared to those who used standard Google.

Building on this, in my future research I plan to study generative AI tools that impose healthy frictions for learning tasks – specifically, examining which types of guardrails or speed bumps most successfully motivate users to actively learn more beyond easy, synthesized answers. Such tools would seem particularly critical in secondary education, where a major challenge for educators is how best to equip students to develop foundational reading, writing and math skills while also preparing for a real world where LLMs are likely to be an integral part of their daily lives.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

URL: https://www.psypost.org/learning-via-chatgpt-leads-to-shallower-knowledge-than-using-google-search-study-finds/

-------------------------------------------------

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NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot

Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com

EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org

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It's primitive... but it works... mostly...

-------------------------------------------------

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