Rated source by source for measure, geography, years and limits, six public datasets on one composite county make up this HD440 Unit 2 data source review example. Searches like "hd 440 unit 2 assignment example", "hd440 unit 2 sample" and "hd440 unit 2 example" land here.
What a finished HD440 Unit 2 data source review looks like
The review is a table followed by annotations. Each of the six rows gives the source's name and publisher, the data year, the smallest geography it reports, the collection method, and one sentence on its main limitation. County Health Rankings appears first as an orientation tool, flagged because it repackages other sources with lags of two or more years. CDC PLACES follows, labeled clearly as modeled estimates rather than local survey results. The state's hospital discharge data counts emergency visits by county of residence, and the review notes this captures only injuries that reach a hospital. CDC WONDER mortality comes with a warning that county counts under ten are suppressed. The American Community Survey and the ambulance service's run log complete the table. Annotations underneath give a paragraph per source.
How a HD440 Unit 2 example is structured
Sources are ordered from broadest to most local, which mirrors how a planner narrows in: first a ranking that places the county against its state, then modeled estimates, then administrative records, then the one dataset only the county holds. Each annotation follows a fixed sequence of what the source measures, how it collects data, what geography and years it covers, and what it cannot support. That last point is written as a sentence about use, for example that PLACES can show which conditions are common but cannot show change in a small county from one year to the next. A closing section, often the most valuable part, lists what no source covers, including the share of older adults who fell without seeking care. The review ends by naming which three sources the assessment will rely on and why.
Visits are not people
Every row states what the indicator counts before anything is said about the county. An emergency-visit rate for falls counts visits, so one resident who falls three times in a year appears three times.
Modeled estimates labeled as such
PLACES figures come from a statistical model combining state survey responses with census characteristics. The review says so in the table itself, because a planner who mistakes a modeled estimate for a local survey will overread small differences.
Suppression and the small county
Death counts below ten are withheld in CDC WONDER, and rates built on fewer than twenty are flagged as unreliable. The review pools five years of data to get a usable figure and says that pooling hides any trend.
Residence versus facility
Hospital discharge files can be pulled by where a patient lives or where care happened. The review uses county of residence, since many residents are treated in a larger hospital two counties away.
The dataset only the county has
Ambulance run logs record lift-assist calls where nobody is transported, falls that no hospital file ever sees. The review notes these logs are unstandardized and describes how the local service codes them.
What no source covers
No dataset counts older residents who fell and told no one. The review names that gap and two others, so that missing data becomes something the assessment reports instead of a silence.
Where marks go in HD440 Unit 2
Accuracy about what each source actually is drives the grade on HD440 data reviews. Describing a modeled estimate as a local survey result, or a visit count as a count of people, is the costliest error, because every later unit inherits the misreading. Reviews that list sources without dates lose marks steadily, since a figure without a year cannot be compared with anything. A related deduction falls on sources described only by what they show about the county, with nothing on how they were collected. Most sections reward a limitation stated as a consequence for use, not a generic caution that data may be incomplete. Leaning on national sources when the county's own data is available, missing citations, and a closing section that calls the data sufficient without saying for what also cost points.
Get a HD440 Unit 2 example written to your instructions
For the community your HD440 section assigned, send the Unit 2 prompt and rubric, and any datasets your instructor listed. You receive a free first custom sample in 24-48h: each source identified by publisher and year, rated for geography and method, and paired with the limitation that actually matters for planning.
HD440 Unit 2 questions, answered
How many sources does a data source review need?
Whatever your prompt specifies, and four to six is common. More important than the count is range: at least one ranking or modeled source, one administrative record such as hospital or death data, and one demographic source. A review built entirely from one publisher's products cannot show how different collection methods change the picture.
What if my county's data is suppressed?
Small counties often hit suppression rules for deaths and rare conditions. Pool several years, use a regional or multi-county figure, or report the count as fewer than ten, and say which you chose. Treat suppression as a finding in itself: it tells a planner that county-level trends for that outcome cannot be tracked reliably.
Can I use a hospital's community health needs assessment as a source?
Yes, and it is often the most local source available, but review it like any other. Note who conducted it, when, how respondents were recruited and whether its priorities came from data, a survey or both. Many such assessments reuse public datasets, so trace their figures back to the original source where you can.