Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long.
Example: Paragraph: "Although the story didn't cite the cost of appendectomy emergency or urgent surgery and we wish it had, we nonetheless will give it a satisfactory score because it at least cited what the editorial writer wrote, ""A secondary benefit is the savings to the hospital generated by minimizing staff and anesthesiologist presence late in the evening and during the wee hours of the morning."" As with our harms score above, although the story didn't give absolute numbers, in this case we think it was sufficient for it to report that ""The scientists found no significant difference among the groups in the patients' condition 30 days after surgery or in the length of their operation or hospital stay."" Although the story didn't give absolute numbers, in this case we think it was sufficient for it to report that ""The scientists found no significant difference among the groups in the patients' condition 30 days after surgery or in the length of their operation or hospital stay."" Despite running less than 300 words, this story did an adequate job in explaining the quality of the evidence, including pointing out limitations. No disease-mongering here. The story meets the bare minimum requirement for this criterion in that it at least cited what an editorial stated. The focus of the story was on a study comparing emergency appendectomy with surgery done up to 12 hours later or beyond. This is the whole focus of the story and one we applaud when it begins: ""Appendectomy is the most common emergency surgery in the world, but it doesn't have to be."" There were no claims made about the novelty of this research, and we may have wished for a bit more context on this. Nonetheless, the potential for guiding future care decisions was made clear. Not applicable. Given that the story only pulled excerpts from the journal article and the accompanying editorial, and didn't include any fresh quotes from interviews, we can't be sure of the extent to which it may have been influenced by a news release.". Claim: Some appendicitis cases may not require 'emergency' surgery
Example solution: We really don't understand why only a handful of mainstream news organizations reported this story. (At least in what we found.) The most common emergency surgery in the world. Rushing to emergency surgery may not carry any benefit. Waiting a few hours may be safer and less expensive. Why is that not a story? We applaud USA Today for finding time and space and clearly it didn't need to free up much space to do a good job telling the story. The story explains that as many as 300,0 appendectomies are done each year in the US. That figure alone explains why this is an important study to report.
Example explanation: The output is an analysis of the claim while considering the paragraph as a reference. The output highlights the key features presented in the paragraph and explains the claim accordingly.

Problem: Paragraph: This is a tricky one. The story does not explicitly address cost, except to call text messaging "a scalable and affordable approach." For many (or most) patients, the cost of receiving four text messages a week would likely be negligible covered by an individual's phone plan or by nominal text rates. However, not everyone owns a mobile phone, a fact that makes access (and cost) a more significant issue. However, the story does deliver on this point. The story discusses both the number of U.S. adults who own mobile phones (90 percent) and the fact that text messages are more accessible than other forms of mobile health communication (such as apps, which require patients to own smartphones or other smart devices). So, while we'd prefer a more in-depth discussion here, we'll awarda Satisfactory rating for the story's nod in this direction. The story addresses the range of benefits reported in the study, such as reduced cholesterol and blood pressure, but doesn't quantify that information or offer readers any context. For example, while the story says "patients who had received the text messages had reduced their cholesterol," the JAMA paper reports that patients who received the text messages had a "mean difference [of] 5 mg/dL" in "LDL-C." In other words, the information in the paper, while quantified, probably isn't very useful to many readers outside the health industry. Is "a mean difference of5 mg/dL in LDL-C" good? Bad? Irrelevant? This is where reporters have an opportunity to shine. If a news story can take those numbers and translate them into language that is accessible to non-experts, it provides a very real service. It would have been great to see that here. As long as people aren't driving and checking their cell phones, there don't appear to be any harms associated with receiving well-meaning text messages four times a week, so we'll mark this one "not applicable." This is a strong suit. The story not only offers a concise, but good, summary of the study but it also goes out of its way to address the study's limitations. For example, the study notes that the study "can't tell us whether text messaging could eventually lead to fewer subsequent heart attacks among the patients receiving those messages or whether the positive health outcomes would continue past the six-month study window." Good points, and we're glad the story includes them. No disease mongering here. The story includes input from an outside expert who was not involved with the research. The story clearly meets our bar here, although it would have been stronger if it had reached out to at least one more independent source preferably one who hadn't written an editorial that ran in conjunction with the paper in JAMA. Yes, the editorial was independent and provides some insightful commentary. But it also means we already knew where this source stood on the issue. Finding another reputable expert, who hadn't already weighed in publicly on the work, would have been great. The focus of the story is not so much on how the text message intervention directly reduced heart disease risk, but on the extent to which it resulted in patients taking steps to reduce their own risk such as by exercising more, smoking less, making dietary changes, or taking prescription drugs on a regular basis. The story does discuss other "mobile health interventions," such as smartphone apps but notes that there don't appear to be many mobile health projects that rely simply on text messages. The story also looks at how the text messages helped patients pursue lifestyle changes like exercising more and smoking less that reduced their risk. It was fairly clear from the story that this was a clinical trial, and that this particular service doesn't seem to be available to offer customized, encouraging text messages for heart disease patients. From the start, the story frames this research in the context of the much larger "mobile health" field. For example, the story notes that "While there are more than 100,000 health-related apps on the market, the evidence to date is lacking as to whether many of those apps are safe or effective." Since the story includes quotes from an interview, we can be fairly certain it went beyond the related JAMA news release. Claim: Text Reminders Help People Lower Cholesterol, Blood Pressure
Solution: The story focuses on a JAMA study that found coronary heart disease patients who received four health-related text messages per week for six months were more likely to take steps to reduce their risk of heart-related health problems and saw corresponding improvements in cholesterol and blood pressure. The story does a nice job of describing the study and is careful to note the study's limitations, but could have done more to explain the extent to which patients benefited from the intervention. According to the CDC, heart disease is the leading cause of death in the United States for both men and women, and coronary heart disease is the most common form of heart disease killing more than 370,000 people annually. In short, the odds are good that just about everyone knows someone who has been affected by coronary heart disease. In addition, the disease has an enormous economic impact. For example, the estimated burden of cardiovascular disease in the U.S. in 2010 was $444 billion. Behavior change is an important piece of reducing heart disease risk, and lifestyle changes such as exercise are associated with other positive health outcomes as well, including reduced risk of stroke, better mental health outcomes (depression and anxiety), and lower extremity arthritis.