The phrase "are often not useful" is correct and usable in written English.
It can be used when discussing the effectiveness or practicality of certain items, ideas, or methods in various contexts.
Example: "While some tools can be helpful, others are often not useful in achieving the desired results."
Alternatives: "frequently lack utility" or "are commonly ineffective".
In our experience, long unorganized checklists are often not useful or used.
While DBPCFCs have been widely used for the diagnosis of food allergies, diagnostic DBPCFCs are often not useful for the identification of individual thresholds or characterization of low dose dose-response.
The number of CFD rules can be excessive, and rules with a large number of attributes on LHS are often not useful in data cleansing, so we have limited the size of LHS to at most four.
The results of susceptibility tests with these antimicrobial agents are often not useful for the management of patients with pneumonia caused by Haemophilus species.
Textbooks may become outdated quickly, journals are often not useful in daily practice and both methods are time-consuming and expensive.
If players dislike an aspect of the game, there's usually something about it that could be improved... but the specific suggestions the players make are often not useful.
Given that pathways are essentially connected in vivo and that highly comprehensive experimental data that encompass a wide variety of pathways is readily available, arbitrary partitioning of pathways is often not useful for the mapping and observation of comprehensive experimental data.
However, due to limited variation within a given species, the 16S sequencing is often not useful for epidemiological studies, where the classification of highly similar strains is needed.
However, particularly for AA women, we found that the phone numbers provided were often not useful (e.g., disconnected or wrong numbers) and many potential participants were unreachable after many attempts.
Soulé's approach is often not useful for many reaction networks, such as enzymatic signaling networks, because the edge labels are not constant, but depend on the concentrations of the species, that is, for some concentrations a label might be positive, for others it might be negative.
Overestimation of adherence is a common issue with subjective measures, which is why they are often not considered useful alone [ 31].
