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Promoting Interventions for Climate Change to Upscale Resilience in District Badin (PICCTURE)

2026年5月6日 更新者:Dr Jai Kumar Das

Promoting Interventions for Climate Change to Upscale Resilience (PICCTURE) Trial in District Badin

The PICCTURE trial is a cluster randomized controlled study which will be conducted in District Badin, Pakistan, to evaluate the effectiveness of community-based interventions in improving resilience to climate-related hazards. The study compares community-led adaptation and resilience strategies and community interventions integrated with primary healthcare engagement against a control group. The objective is to determine whether these approaches improve household-level resilience, adaptive capacity, and health-related outcomes in a coastal, climate-vulnerable population.

調査の概要

詳細な説明

District Badin, located in the lower Indus delta of Pakistan, is highly exposed to recurrent climate-related hazards, including riverine and coastal flooding, cyclones, saline water intrusion, and increasing temperatures. These hazards interact with underlying structural vulnerabilities such as low-lying topography, reliance on agriculture and fisheries, and constrained access to health and social services-resulting in compounded risks to health, nutrition, and livelihoods. This context provides a suitable setting to evaluate integrated, community-based strategies aimed at strengthening resilience to climate-related shocks.

This study is guided by a multidimensional resilience framework that conceptualizes resilience as a function of coping, adaptive, and transformative capacities across social, economic, environmental, and health domains. The intervention package is informed by prior vulnerability assessments and designed to address key modifiable determinants of resilience, including disaster preparedness, livelihood security, financial risk management, and access to essential health services.

The intervention is delivered through two implementation models that differ in the degree of health system integration. The first model utilizes community-led platforms established through Village Management Committees (VMCs), which are locally constituted groups representing diverse segments of the community. These committees facilitate participatory learning and action processes, enabling communities to identify risks, prioritize solutions, and implement locally appropriate adaptation strategies. Core components include structured training on disaster risk reduction, development of community hazard maps and early warning mechanisms, promotion of climate-resilient livelihood options, and strengthening of household-level financial planning and emergency preparedness.

The second model builds on the community platform by incorporating structured engagement with Lady Health Workers (LHWs) and primary healthcare providers. This integrated approach is intended to strengthen linkages between communities and the formal health system, enhance delivery of climate-sensitive health messaging, improve identification and support of high-risk households, and facilitate continuity of care during climate-related events. Health system engagement also includes co-facilitation of selected community sessions, alignment of community preparedness plans with facility-level response mechanisms, and promotion of climate-responsive service delivery practices.

Intervention activities are implemented over a 12-month period using a standardized curriculum adapted to the local context. Delivery follows a phased approach, with more intensive engagement during the initial months followed by reinforcement sessions. Participatory group sessions, simulation exercises, and community mobilization activities are used to enhance knowledge, build skills, and support behavior change. Implementation fidelity is supported through structured training of facilitators, supervision, routine monitoring, and the use of standardized tools and materials.

Evaluation is conducted using repeated cross-sectional household surveys administered at baseline and endline to assess changes in resilience and vulnerability across multiple domains. Data collection includes measures of household preparedness, livelihood strategies, financial coping mechanisms, health-seeking behavior, and selected health and nutrition indicators. Process evaluation is embedded within the study to assess intervention delivery, including coverage, participation, adherence to planned activities, and functionality of community-level preparedness mechanisms such as emergency plans and early warning systems. These measures enable assessment of both implementation fidelity and intermediate pathways of impact.

To capture the effectiveness of interventions under real-world stress conditions, a rapid assessment component is incorporated. In the event of a major climate-related hazard affecting study areas during the implementation period, targeted data collection will be conducted shortly after the event to document community responses, functioning of preparedness systems, and access to essential services. This component is intended to complement routine evaluation by providing insight into intervention performance during actual shocks.

The analytical approach follows an intention-to-treat framework, whereby all households are analyzed according to their assigned study group regardless of level of participation. Intervention effects will be estimated using mixed-effects regression models to account for clustering at the community level and potential intra-cluster correlation. A difference-in-differences specification will be applied to compare changes over time between study groups, enabling estimation of intervention effects while controlling for baseline differences and secular trends. Models will incorporate fixed effects for time and study group, as well as interaction terms to estimate differential changes attributable to the intervention. Relevant household- and cluster-level covariates will be included to improve precision and adjust for residual confounding.

Sensitivity analyses will be conducted to assess the robustness of findings to model specification and potential sources of bias, including differential attrition and variation in intervention exposure. Process indicators will be analyzed descriptively and, where appropriate, linked to outcome measures to explore potential mechanisms of effect.

This study is designed to generate rigorous evidence on the effectiveness of integrated community-based and health system-linked approaches to strengthening climate resilience in vulnerable populations. Findings are expected to inform the design and scale-up of adaptation strategies in similar climate-affected, resource-constrained settings.

研究の種類

介入

入学 (推定)

1800

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

  • 名前:Akber Ali, Masters
  • 電話番号:+92-307-777-1403
  • メールakber.ali@aku.edu

研究連絡先のバックアップ

  • 名前:Dr. Jai Kumar Das, PhD
  • 電話番号:0213486 69826
  • メールjai.das@aku.edu

研究場所

    • Sindh
      • Karachi、Sindh、パキスタン
        • Aga Khan University
        • コンタクト:
        • コンタクト:
          • Dr. Jai Kumar Das, PhD
          • 電話番号:0213486 69826
          • メールjai.das@aku.edu
        • 主任研究者:
          • Dr. Jai Das, PhD

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 大人
  • 高齢者

健康ボランティアの受け入れ

いいえ

説明

Inclusion Criteria:

  1. Permanent residents of the selected study area
  2. Aged 18 years and above
  3. Willing to provide informed consent

Exclusion Criteria:

1-Temporary residents or non-residents of the study area

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:防止
  • 割り当て:ランダム化
  • 介入モデル:並列代入
  • マスキング:なし(オープンラベル)

武器と介入

参加者グループ / アーム
介入・治療
実験的:コミュニティ介入 (CI)
クラスターは、村落管理委員会(VMC)を通じて提供される、コミュニティ主導の適応と強靭性に関する構造化された介入パッケージを受け取ります。
活動には、災害リスク軽減、生計手段の多様化、金融リテラシー、健康意識に関するトレーニングや参加型セッションが含まれます。
セッションは、世帯とコミュニティの適応能力を強化するために、参加型学習アプローチを用いて実施されます。
A structured package of community-led activities delivered through Village Management Committees, including participatory training on disaster risk reduction, livelihood diversification, financial literacy, and health awareness to strengthen household and community resilience.
実験的:地域共同体+プライマリーヘルスケア介入(CHI)
クラスターはアーム1と同じコミュニティベースの介入を受けるが、レディヘルスワーカーとプライマリヘルスケア提供者のさらなる関与が追加される。
保健システムの関係者は、健康関連コンポーネントの提供を支援し、ケアの受診を促進し、コミュニティと保健サービスの間の連携を強化して、レジリエンスの成果を向上させる。
A structured package of community-led activities delivered through Village Management Committees, including participatory training on disaster risk reduction, livelihood diversification, financial literacy, and health awareness to strengthen household and community resilience.
Lady Health Workers and primary healthcare providers to reinforce interventions delivered through VMCs and strengthen linkages between communities and health services.
介入なし:コントロール
クラスターは、研究期間中に既存のサービスおよび標準的な条件を超える追加の介入を受けません。

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
Household disaster resilience
時間枠:At baseline and endline (12 month)
Household disaster resilience will be assessed using the Disaster Resilience Index (DRI), a validated multidimensional composite measure of a household's ability to withstand, adapt to, and recover from shocks. The DRI comprises three domains: Coping Capacity, reflecting baseline resources and conditions that enable immediate response; Adaptive Capacity, capturing the ability to adjust and respond effectively through access to systems, resources, and support; and Transformative Capacity, measuring longer-term potential to learn, improve, and strengthen resilience over time. The score ranges from 0 to 1, with higher values indicating greater household resilience.
At baseline and endline (12 month)
Household vulnerability
時間枠:At baseline and endline (12 month)
Household vulnerability will be assessed using the Multidimensional Livelihood Vulnerability Index (MLVI), a validated composite measure capturing susceptibility to shocks across three domains. Adaptive Capacity reflects the ability to cope with and adjust to stressors, including access to resources, livelihood diversity, and social support. Sensitivity captures the degree to which households are affected by shocks, based on their wellbeing, health, food and water security, and environmental conditions. Exposure measures the extent to which households experience environmental and socio-economic shocks that threaten livelihoods. The score ranges from 0 to 1, with higher values indicating greater household vulnerability.
At baseline and endline (12 month)

二次結果の測定

結果測定
メジャーの説明
時間枠
食料安全保障
時間枠:ベースラインおよびエンドライン(12か月)
食料安全保障は、FANTA(Food and Nutrition Technical Assistance)プロジェクトによって開発された Household Food Insecurity Access Scale(HFIAS)を用いて評価される。
HFIASは、過去4週間における世帯の食料へのアクセスを測定する標準化されたツールであり、連続スコア(範囲:0~27)を生成し、スコアが高いほど食料不安が大きいことを示す。
ベースラインおよびエンドライン(12か月)
Mental Health
時間枠:At baseline and endline (12 month)

Mental health and psychological resilience will be accessed by Psychological Trauma index focused on post-traumatic stressful symptoms following climate related shocks. Mental health and psychological resilience will be assessed using the Psychological Trauma Index, a structured questionnaire measuring post-traumatic stress symptoms following climate related shocks. The index includes six items covering intrusive memories, emotional distress, avoidance, social withdrawal, irritability, and concentration difficulties.

Each item is scored on a 5-point Likert scale (1 = Not at all, 5 = Very Frequently). Total scores range from 6 to 30, with higher scores indicating worse outcomes (greater severity of trauma symptoms). Lower scores reflect fewer symptoms and better psychological resilience.

At baseline and endline (12 month)
Household dietary diversity
時間枠:At baseline and endline (12 month)

Dietary diversity will be measured using the Household Dietary Diversity Score (HDDS), following FAO guidelines. The HDDS is based on a 24 hour recall of foods consumed from 12 standard food groups (cereals, roots/tubers, vegetables, fruits, meat, eggs, fish, legumes/nuts, milk/dairy, oils/fats, sugar/honey, and miscellaneous).

Scores on the Household Dietary Diversity Score range from 0 to 12, with higher values indicating better outcomes (greater dietary diversity and improved household food access). A score of 0 reflects no food group consumption in the recall period, while a score of 12 reflects consumption from all food groups.

At baseline and endline (12 month)

その他の成果指標

結果測定
メジャーの説明
時間枠
Financial Literacy
時間枠:At baseline and endline (12 month)
Financial literacy will be assessed through structured survey questions on access to financial services (e.g., household members with bank accounts), insurance coverage, savings and borrowing practices, bill payment regularity, expense planning, and ability to meet emergency needs. Outcomes will be reported as individual indicators (counts and proportions)
At baseline and endline (12 month)
Household Disaster Preparedness
時間枠:At baseline and endline (12 month)
Household disaster preparedness will be assessed through structured survey questions covering awareness of disaster management, integration of preparedness knowledge into household plans, availability of emergency supplies, evacuation knowledge, prior preparedness actions, and exposure to community training or organizations involved in disaster response. Outcomes will be reported as individual indicators (counts and proportions)
At baseline and endline (12 month)
Health Knowledge and Practices
時間枠:At baseline and endline (12 month)
Health knowledge and practices will be assessed using a structured questionnaire evaluating knowledge and reported practices related to climate-sensitive health risks. Responses will be summarized at the item level as counts and proportions. No composite score or scale will be generated for this outcome; results will be presented as individual indicators.
At baseline and endline (12 month)

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (推定)

2026年4月20日

一次修了 (推定)

2027年4月30日

研究の完了 (推定)

2027年5月1日

試験登録日

最初に提出

2026年4月13日

QC基準を満たした最初の提出物

2026年5月3日

最初の投稿 (実際)

2026年5月7日

学習記録の更新

投稿された最後の更新 (実際)

2026年5月11日

QC基準を満たした最後の更新が送信されました

2026年5月6日

最終確認日

2026年4月1日

詳しくは

本研究に関する用語

その他の研究ID番号

  • 2026-12334-39680

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

未定

IPD プランの説明

We will do this on individual reasonable requests after seeking approval from the institute and the funders and would do so after a formal data transfer agreement.

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

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