HLTH 6880 Week 6 Social Venture Theory of Change Example

Social Entrepreneurship and Innovation: A Global Perspective Walden University Free custom sample in 24 to 48h

This HLTH 6880 Week 6 theory of change example lays out LinkBP's full chain, from follow-up workers and cuffs through confirmed clinic visits and monthly checks to controlled blood pressure and, over years, fewer strokes, and writes out the assumption behind every arrow. Walden HLTH 6880 asks graduate health administration program students to defend the links as well as the boxes, and the paper presents the chain in a table, then tests five assumptions. It draws on World Health Organization guidance on community health workers, the Vedanthan team's Kenyan trial, which warns that one tool lowered linkage, the South Asian trial by Jafar and colleagues showing control at 53.2% against 43.7% and Gugerty and Karlan on right-fit evidence. Untested links are labeled as such.

CourseHLTH 6880 Social Entrepreneurship and Innovation: A Global Perspective
WeekWeek 6
Paper typeTheory of change paper
LengthAbout 1,050 words, 6 pages
FormatAPA 7 student paper
SchoolWalden University
Programgraduate health administration program
UpdatedOctober 2026

Free sample paper for HLTH 6880 Week 6

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LinkBP Theory of Change: From a Screening Reading to Controlled Blood Pressure, With Every Assumption Written Out

Student Name

Walden University

HLTH 6880: Social Entrepreneurship and Innovation: A Global Perspective

Instructor Name

Month Day, Year

What this page is doingPromising every assumption in the title signals that the arrows, not just the boxes, will be defended.
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LinkBP Theory of Change: From a Screening Reading to Controlled Blood Pressure, With Every Assumption Written Out

Introduction

LinkBP's theory of change runs from a follow-up worker and a blood pressure cuff to fewer strokes and heart attacks among rural adults in a composite western Kenya county. Stated in one line: if a named worker follows each referred adult from screening to clinic and visits monthly afterward, more referred adults will reach care, stay in it and reach controlled blood pressure, and over years fewer will suffer cardiovascular events. This paper sets out each box in that chain and, more importantly, the assumption between each pair of boxes, with evidence where it exists and a plan to test it where it does not. Evidence-building guidance for social sector organizations recommends exactly this: a clear theory of change is the basis for deciding what to measure and what not to (Gugerty & Karlan, 2018). A table summarizing the chain appears below.

What this page is doingThe introduction states the chain in one sentence, then promises the assumptions between the links.
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The Chain at a Glance

Table 1 lists the chain from inputs to long-term change. Each arrow carries an assumption, set out in the sections that follow.

Table 1

LinkBP Theory of Change (Composite Venture)

LevelContents
InputsFollow-up workers, supervisors, cuffs, phones, county clinic agreement
ActivitiesEnrollment at screening, visit within 7 days, clinic booking, monthly home checks, refill prompts
OutputsAdults enrolled, first visits confirmed, monthly checks completed, refills prompted
Short-term outcomeReferred adults reach a clinic within 30 days
Medium-term outcomesAdults still collecting medicine at 12 months; reading below 140/90 mm Hg
Long-term changeFewer strokes, heart attacks and heart failure admissions in the sub-county
What this page is doingThe figure summarizes the boxes so the narrative can concentrate on the arrows.
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From Inputs to Activities

The inputs are follow-up workers recruited from the sub-county, one supervisor per group of workers, validated automatic cuffs, phones with a case-tracking application and an agreement with county clinics to confirm visits and share refill dates. Activities are specific: each worker enrolls adults at screening events, visits within seven days, books and confirms a clinic visit within 30 days, checks blood pressure monthly at home or work and sends a prompt when a refill is due.

Assumption 1: workers recruited locally can be trained to take accurate readings and keep reliable records, and will do so consistently when supervised. Evidence on community health worker programs supports this when workers have defined tasks, supportive supervision and pay; World Health Organization guidance recommends all three (World Health Organization, 2018). LinkBP pays workers and gives them one task, which reduces the risk that hypertension follow-up is crowded out by other duties.

What this page is doingEach box is specific, and the first assumption concerns the workers themselves.
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From Activities to Outputs

Outputs count what LinkBP produces: adults enrolled, first clinic visits confirmed, monthly checks completed and refill prompts sent.

Assumption 2: workers can reach their caseloads at the planned frequency in rural terrain and in the rainy season. This is untested for LinkBP. In the composite county, an illustrative caseload would allow each worker to reach most adults within a day's travel, but the assumption will be checked during the first quarter by comparing completed checks with planned checks per worker. If completion falls below about four in five, caseloads will be cut.

What this page is doingThe second assumption is about whether planned activities actually happen at the planned rate.
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From Outputs to the Short-Term Outcome

The short-term outcome is that referred adults reach a clinic within 30 days.

Assumption 3: personal follow-up by a worker increases the share of referred adults who reach care. The most relevant evidence is the western Kenya trial in which community health workers used tailored behavioral communication, with or without smartphones. Linkage to care was 49% overall, and it was significantly higher in the usual-care and smartphone arms than in the paper-based arm (Vedanthan et al., 2019). The evidence supports the assumption that how workers follow up matters, but it also warns that adding a new communication tool can make linkage worse, not better. LinkBP's design responds by making a confirmed clinic booking, not a conversation, the core activity, and by measuring linkage from the first month.

What this page is doingThe third assumption has the strongest local evidence and also the most instructive result.
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From the Short-Term to Medium-Term Outcomes

The medium-term outcomes are that adults are still collecting medicine at 12 months and that their readings are below 140/90 mm Hg.

Assumption 4: continued home visits linked to public clinics lead to better blood pressure control over time. The strongest evidence comes from a cluster randomized trial in rural Bangladesh, Pakistan and Sri Lanka, where trained government health workers visited homes proactively for blood pressure monitoring and counseling, linked with physician training and care coordination in the public sector. At 24 months, systolic pressure fell by 5.2 mm Hg more in intervention communities than in control communities, and 53.2% of participants reached control below 140/90 mm Hg, compared with 43.7% under usual care (Jafar et al., 2020). That is evidence for a comparable mechanism in a different region, so it supports the assumption without proving it for western Kenya.

The western Kenya trial adds a caution: reaching care did not by itself produce a significant difference in systolic pressure between arms (Vedanthan et al., 2019). LinkBP therefore treats the move from linkage to control as an assumption that requires continued follow-up, and medicine supply at the clinic, rather than as an automatic result.

What this page is doingThe fourth assumption is the hinge of the chain, and it rests on the best evidence available.
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From Medium-Term Outcomes to Long-Term Change

Assumption 5: lowering blood pressure in this population will reduce cardiovascular events. This is well supported in general clinical evidence and underlies the treatment recommendations of the World Health Organization's 2021 hypertension guideline (World Health Organization, 2021). LinkBP cannot test it directly; the number of events in one sub-county would be too small to detect a change over a few years. The venture will therefore report blood pressure control as its main outcome and describe the long-term change as the reason control matters, not as a result it can claim.

What this page is doingThe final assumption is labeled for what it is: supported by general evidence but untestable by LinkBP directly.
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What Remains Untested

Two links are untested for LinkBP: whether workers can reach caseloads at the planned frequency, and whether county clinics will keep antihypertensive medicine in stock so that follow-up has something to follow up to. A third, that monthly checks lead to control in this setting, is supported by a comparable trial but not by local evidence. Each will be tested in the pilot year, through the measurement plan set out in Week 8. If clinic stock-outs prove common, the theory of change would need a new activity, such as a supply arrangement with the county pharmacy, before LinkBP could expect control to improve.

What this page is doingThe closing lists untested links honestly, which is where the narrative earns most of its credit.
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References

Gugerty, M. K., & Karlan, D. (2018). The goldilocks challenge: Right-fit evidence for the social sector. Oxford University Press.

Jafar, T. H., Gandhi, M., de Silva, H. A., Jehan, I., Naheed, A., Finkelstein, E. A., Turner, E. L., Morisky, D., Kasturiratne, A., Khan, A. H., Clemens, J. D., Ebrahim, S., Assam, P. N., & Feng, L. (2020). A community-based intervention for managing hypertension in rural South Asia. New England Journal of Medicine, 382(8), 717-726. https://doi.org/10.1056/NEJMoa1911965

Vedanthan, R., Kamano, J. H., DeLong, A. K., Naanyu, V., Binanay, C. A., Bloomfield, G. S., Chrysanthopoulou, S. A., Finkelstein, E. A., Hogan, J. W., Horowitz, C. R., Inui, T. S., Menya, D., Orango, V., Velazquez, E. J., Were, M. C., Kimaiyo, S., & Fuster, V. (2019). Community health workers improve linkage to hypertension care in western Kenya. Journal of the American College of Cardiology, 74(15), 1897-1906. https://doi.org/10.1016/j.jacc.2019.08.003

World Health Organization. (2018). WHO guideline on health policy and system support to optimize community health worker programmes. World Health Organization.

World Health Organization. (2021). Guideline for the pharmacological treatment of hypertension in adults. World Health Organization.

What the HLTH 6880 Week 6 instructions ask for

Theory of change assignments generally ask for a chain from inputs through activities, outputs and outcomes to long-term change, with nothing skipped. Make each box specific: who does what, how often and what is counted. Between each pair of boxes, write the assumption that has to be true for the first to produce the second. Attach evidence where it exists, usually an evaluation of a similar mechanism, and describe what that evidence covers and where it was gathered. Where no evidence exists, label the assumption untested and say how you will test it. Avoid connecting an activity directly to a population-level outcome. Word outcomes so a result could contradict them. A diagram or table helps, but the written narrative explaining each link carries most of the weight.

How this HLTH 6880 Week 6 example is built

The introduction states the chain in one sentence and cites Gugerty and Karlan. A table lists inputs, activities, outputs, short and medium-term outcomes and long-term change. The next sections take each arrow in turn. Assumption 1, on worker performance, cites World Health Organization guidance. Assumption 2, on visit frequency, is labeled untested with a first-quarter test. Assumption 3, on linkage, cites Vedanthan and colleagues, including the paper-based arm's weaker result. Assumption 4, on control, cites Jafar and colleagues and the caution from western Kenya. Assumption 5, on events, cites the World Health Organization guideline. The closing lists the untested links.

Where the marks sit in the HLTH 6880 Week 6 rubric

Graders look first for jumps: an activity connected straight to a population outcome with nothing between them. Written assumptions on every arrow earn the most, since a chain with stated assumptions can be argued with. Evidence is judged on relevance, so one evaluation of a comparable mechanism outweighs many general citations. Labeling untested assumptions honestly, with a plan to test them, is rewarded. Outcomes worded so no result could contradict them lose points. A narrative that uses contrary evidence, rather than hiding it, shows rigor. A specific table or diagram helps readers follow the chain but does not substitute for the narrative. The closing list of untested links is where many strong papers gain their final points.

HLTH 6880 Week 6 help: mistakes that cost marks

Theory of change papers often present a tidy diagram whose arrows carry no explanation, or jump from training workers to reducing deaths. Others cite only evidence that supports the chain. Start by writing each box as a specific sentence. Then, for each arrow, finish the sentence: this leads to that only if. That clause is your assumption. Search for the best evaluation of a similar mechanism and read what it found, including results that cut against you. Mark every link without evidence as untested, and write one line on how you would test it. We can draft a theory of change narrative for your venture with every assumption written out and its evidence described.

Get a HLTH 6880 Week 6 example written to your instructions

A theory of change with an assumption on every arrow can be written for you from the Week 6 prompt and rubric, back in 24 to 48 hours and free on a first request. Diagram and narrative arrive together, since the narrative is the half that gets graded and the half most drafts leave thin.

More HLTH 6880 papers and graduate health administration program samples

HLTH 6880 Week 6 questions, answered

Where can I find a free HLTH 6880 Week 6 sample paper?

The theory of change paper and its table are posted here at no cost.

What chain does the HLTH 6880 Week 6 paper describe?

From follow-up workers and cuffs, through enrollment, clinic booking and monthly checks, to linkage, retention, blood pressure control and fewer cardiovascular events.

Which assumption has the strongest evidence?

That home visits linked to public clinics improve control, supported by a trial in Bangladesh, Pakistan and Sri Lanka with control of 53.2% against 43.7%.

What contrary evidence does it use?

A western Kenya trial in which one version of follow-up linked fewer people than usual care and linkage did not significantly lower pressure.

Which links are untested?

Whether workers can sustain monthly visits in rural terrain and whether clinics keep medicine in stock.